Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-de...Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.展开更多
Laser-driven inertial confinement fusion(ICF)is an important experimental platform for high-energy-density physics research under extreme conditions.In ICF research,high-quality shock waves are key to fusion energy re...Laser-driven inertial confinement fusion(ICF)is an important experimental platform for high-energy-density physics research under extreme conditions.In ICF research,high-quality shock waves are key to fusion energy release.The velocity interferometer system for any reflector(VISAR)is the most important diagnostic technique for measuring quantities such as shock wave and particle velocities with high precision and high spatiotemporal resolution.This paper provides a detailed introduction to the various configurations of VISAR on 10 and 100 kJ-level laser facilities in China,including Line VISAR,Dual-Axis VISAR,Wide-Angle VISAR,and Compressed Ultrafast Photography-VISAR.Recent advances and applications of VISAR diagnostics at these laser facilities are presented,and the future trend of development of high-spatiotemporal-resolution velocity diagnostic technology is described.展开更多
Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we eval...Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we evaluated the diagnostic efficacy of multigene testing in non-diagnostic thyroid nodules and developed a predictive model integrating molecular and clinical data.Methods:In this prospective cohort study,1,175 patients with thyroid nodules were evaluated for inclusion,of which 218 patients with Bethesda I nodules met our inclusion criteria.The primary outcome was diagnostic accuracy of molecular testing,and the secondary outcome was the performance of a predictive model integrating molecular and clinical data.Results:Final histopathology identified 165 benign and 53 malignant nodules.Molecular testing detected 10distinct point mutations and seven gene fusions.Among benign nodules,147 tested negative and 18 tested positive,whereas 44 malignant nodules tested positive and nine tested negative.In nodules with ultrasound grades 4-5 and fine-needle aspiration cytology(FNAC)results categorized as non-diagnostic,molecular testing achieved sensitivity of 83.00%,specificity of 89.00%,positive predictive value(PPV)of 71.00%,negative predictive value(NPV)of94.20%,and overall accuracy of 87.60%.The predictive model incorporated 18 clinical and 19 molecular features.Eleven non-zero predictors were selected via least absolute shrinkage and selection operator(LASSO),and the model achieved area under curve(AUC)of 0.95 in the training set and 0.96 in the testing set.Decision curve analysis indicated greater net benefit compared with conventional diagnostic approaches.Conclusions:Molecular testing significantly improved diagnostic accuracy for Bethesda I thyroid nodules.Integrating molecular and clinical data enabled the development of a robust predictive model,facilitating precise,individualized patient management and reducing the need for repeat FNAC and unnecessary surgeries.展开更多
Kawasaki disease(KD)is a systemic vasculitis of unknown etiology in children with coronary artery lesions(CALs)being its most concerning complication.Untimely diagnosis may lead to long-term cardiac damage and adult-o...Kawasaki disease(KD)is a systemic vasculitis of unknown etiology in children with coronary artery lesions(CALs)being its most concerning complication.Untimely diagnosis may lead to long-term cardiac damage and adult-onset cardiovascular disease.Researchers have long sought to identify risk factors for predicting high-risk CALs development in patients with KD.Domestic and international scholars have established scoring systems and predictive models to assess CAL risk based on these factors.This review summarized recent advances in four key areas:(1)Diagnostic prediction scoring systems;(2)Biomarker indicators;(3)Analytical methods;and(4)Predictive models for KD-associated cardiovascular complications,aiming to provide references for CAL prediction in KD.展开更多
BACKGROUND Delays in resolving diagnostic disagreements within the quantitative imaging analysis core can impede clinical workflow and compromise patient care.To address this,a dedicated consult shift was initiated in...BACKGROUND Delays in resolving diagnostic disagreements within the quantitative imaging analysis core can impede clinical workflow and compromise patient care.To address this,a dedicated consult shift was initiated in 2023.This intervention included real-time monitoring through a dashboard overseen by an imaging specialist who alerted the designated consultant for immediate evaluation and resolution.AIM To evaluate the impact of a dedicated consult shift on diagnostic disagreement resolution times and operational efficiency.METHODS This retrospective quality improvement study analyzed timestamp data from 1245 cases of diagnostic disagreement spanning the period from 2017 to 2025.Cases were stratified into two groups:Pre-implementation(2017-2022)and postimplementation(2023-2025).The primary metric was time to resolution in days.Both means and medians were compared using an independent samples t-test and a Mann-Whitney U test,respectively.RESULTS The average time to resolution significantly decreased from 100.58 days(2017-2022)to 33.05 days(2023-2025)(t=10.02,P<0.0001).Additionally,the median time to resolution dropped from 20.90 days to 5.02 days,a statistically significant reduction confirmed by the Mann-Whitney U test(U=241577,P<0.0001).CONCLUSION The introduction of a dedicated consult shift,supported by real-time dashboard tracking,led to a significant improvement in both average and median resolution times for diagnostic disagreements.This intervention optimized the workflow and reinforced quality assurance processes in a clinical trial imaging setting.展开更多
Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regula...Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regulation of oxidative stress-related genes could enhance the diagnosis and treatment of spinal cord injury.In this study,we analyzed the sequencing data of human blood samples and injured mouse spinal cord tissue that were sourced from GEO databases and identified diagnostic biomarkers associated with the severity of spinal cord injury.We also explored the expression patterns of oxidative stress-related genes,potential regulatory mechanisms,and therapeutic drugs.To validate our findings,we performed immunofluorescence and quantitative polymerase chain reaction to assess gene expression in the injured spinal cord.Our results revealed biomarkers associated with oxidative stress and immune responses across different levels of spinal cord injury in humans.We identified differentially expressed oxidative stress-related genes and key hub genes in injured mouse spinal cord tissue and revealed their temporal expression patterns at both the tissue and single-cell levels.We also clarified the signaling pathways associated with oxidative stress and identified ligand-receptor pairs among various cell types at different time points after injury.Furthermore,we discovered microRNAs,long non-coding RNAs,and transcription factors that regulate these hub genes and revealed their roles in modulating gene expression at various stages after spinal cord injury.We also identified drugs targeting these hub genes.The findings from this study not only aid in identifying diagnostic biomarkers that reflect the severity of spinal cord injury,but also provide insights into the expression dynamics of oxidative stress-related genes.In addition,the study reveals potential regulatory mechanisms and identifies potential drugs to treat patients with spinal cord injury.展开更多
MicroRNAs(miRNAs),small non-coding RNAs ranging from 19 to 25 nucleotides in length,are key regulators of gene expression that function primarily by inhibiting the translation of target mRNAs.Recent studies have sugge...MicroRNAs(miRNAs),small non-coding RNAs ranging from 19 to 25 nucleotides in length,are key regulators of gene expression that function primarily by inhibiting the translation of target mRNAs.Recent studies have suggested that miRNAs play important roles in regulating key aspects in the pathology of Alzheimer's disease,including the modulation and accumulation of amyloid-beta and tau proteins.Moreover,miRNAs have been implicated in the regulation of neuroinflammation thro ugh various inflammatory pathways,notably the nuclear factor kappa B signaling cascade.Additional emerging evidence has shown that miRNAs regulate synaptic growth and maturation,and they perform promising roles in regulating neuronal death and development.miRNAs also offer a novel avenue for direct reprogramming of neurons,representing a promising strategy for Alzheimer's disease treatment.The regulation of miRNA biogenesis and the post-transcriptional modifications of miRNAs are critical factors in Alzheimer's disease pathology,influencing miRNA activity and disease progression.In this review,we comprehensively explore the role of different miRNAs in regulating various pathological processes associated with Alzheimer's disease,focusing primarily on four representative miRNAs:miR-9,miR-29,miR-126,and miR-146a for further exploration.We also discuss the influence of miRNA biogenesis on Alzheimer's disease,emphasizing how dysregulation of miRNA processing may contribute to the disease.Additionally,we highlight the potential of miRNAs as both diagnostic biomarke rs and therapeutic targets in Alzheimer's disease,along with promising vector delive ry strategies aimed at improving clinical outcomes.Finally,we discuss the challenges and limitations associated with the use of miRNAs in the diagnosis and treatment of Alzheimer's disease.By reviewing the current clinical applications of miRNAs as biomarkers and therapeutic agents,we aim to provide insights that will inform future research and development in this promising field.展开更多
BACKGROUND:Although the Confusion Assessment Methods for the Intensive Care Unit(CAMICU) is a recommended tool for diagnosing sepsis-associated encephalopathy(SAE),it has several limitations.Mismatch-negativity(MMN) a...BACKGROUND:Although the Confusion Assessment Methods for the Intensive Care Unit(CAMICU) is a recommended tool for diagnosing sepsis-associated encephalopathy(SAE),it has several limitations.Mismatch-negativity(MMN) and P3a are components of event-related potentials(ERPs) used with electroencephalography(EEG) and are associated with cerebral function changes in critically ill patients.This study aimed to provide a quantitative,non-invasive method to guide SAE diagnosis in nonsedated patients.METHODS:From January 2022 to March 2023,sepsis patients without sedation were enrolled and assessed via the CAM-ICU,Glasgow Coma Scale(GCS),and ERP under standard procedures.Both MMN and P3a data were collected.The diagnostic value of MMN and P3a was assessed with processed ERP data.RESULTS:Thirty-six patients were included in this study,comprising 19 patients with SAE and 17 patients without SAE(NSAE).MMN and P3a amplitudes decreased,and only FzMMN amplitude significantly decreased in SAE patients(2.03 [1.08,2.93] mV vs.3.21 [1.92,4.34] mV,P=0.040).After median dichotomization,low F3P3a and FzP3a amplitudes were associated with higher CAM-ICU positivity rates and APACHE II scores.Both amplitude in F3P3a(AUC=0.710,95%CI:0.527–0.893,P=0.034) and FzP3a(AUC=0.700,95%CI:0.519–0.881,P=0.041) exhibited moderate diagnostic efficacy for SAE,while FzMMN amplitude lacks effective diagnostic value.CONCLUSION:In this pilot study,ERP components F3P3a and FzP3a amplitudes demonstrated moderate diagnostic value for SAE.These exploratory findings require confirmation in larger and powered cohorts.展开更多
Biomineralization is a highly regulated,multi-scale biological process that is well-characterized in physiologic contexts but remains poorly understood in pathologic settings.Tumor-associated calcification frequently ...Biomineralization is a highly regulated,multi-scale biological process that is well-characterized in physiologic contexts but remains poorly understood in pathologic settings.Tumor-associated calcification frequently occurs in clinical practice but is often regarded as an imaging feature rather than an active biological phenomenon.Existing evidence has indicated that tumor calcification is closely linked to cancer progression,prognosis,and underlying biological behavior.This review synthesizes current knowledge on tumor-associated biomineralization from a multidisciplinary perspective,integrating insights from oncology,cell biology,pathology,materials science,and systems biology.The major types and microstructural features of calcium deposition that occur in tumors are summarized and the clinical correlations are discussed.The proposed molecular and cellular mechanisms,including organelle-mediated mineral nucleation,metabolic regulation,differentiation-driven processes,and cell fate-dependent pathways,were further examined.Advances in multi-omics technologies,biomimetic models,and analytical characterization methods are highlighted as critical enablers for mechanistic investigation across biological scales.Finally,emerging strategies that exploit induced tumor calcification using engineered materials as a potential drug free therapeutic and diagnostic approach are discussed.By framing tumor calcification as an active,regulated phenotype,this review aims to provide a unified conceptual framework,identify current knowledge gaps,and encourage future research toward translational applications in cancer diagnosis and treatment.展开更多
BACKGROUND Pyrrolizidine-alkaloid induced hepatic sinusoidal obstruction syndrome(PAHSOS)is a rare and severe drug-induced liver injury with nonspecific manifestations.Its diagnosis currently relies on exclusive strat...BACKGROUND Pyrrolizidine-alkaloid induced hepatic sinusoidal obstruction syndrome(PAHSOS)is a rare and severe drug-induced liver injury with nonspecific manifestations.Its diagnosis currently relies on exclusive strategies and often necessitates invasive examinations,posing significant clinical challenges.The potential role of artificial intelligence algorithms in diagnosing PA-HSOS remains to be established.AIM To develop and validate a deep-learning-based diagnostic model for PA-HSOS using computed tomography images.METHODS This multicenter case-control study compared PA-HSOS patients with Budd-Chiari syndrome and hepatitis B cirrhosis patients as controls.Patients from Zhongshan Hospital,Fudan University were retrospectively assigned to training or internal test cohorts,while those from the First Affiliated Hospital of Zhengzhou University formed an external cohort.We constructed the diagnostic models using multiscale convolutional modules.Model performance was compared with gastroenterologists and radiologists of varying expertise levels.Additionally,diagnostic outcomes and interpretation time with and without model assistance were evaluated.RESULTS Diagnostic models with deep learning methods using computed tomography images for PA-HSOS were developed.In the internal test cohort,models with different input sizes achieved area under the curve ranging from 0.853 to 0.944.Model 96(96-mm input)demonstrated significantly higher accuracy and specificity than resident physicians(both internal medicine and radiology;P<0.05)and comparable performance to attending specialists.The area under the curve of model 96 in the external test cohort was 0.873.When assisting clinicians,model 96 significantly improved diagnostic accuracy for internal medicine residents(0.541 to 0.757)and attending gastroenterologists(0.730 to 0.892),while reducing interpretation time across all expertise levels(all P<0.05).CONCLUSION The deep learning model demonstrates promising diagnostic performance for PA-HSOS and can effectively assist clinicians in improving diagnostic accuracy and efficiency.展开更多
To the Editor:Tuberculosis remains a major global health concern and ranks among the leading causes of death from infectious diseases.Extrapulmonary forms are estimated to account for 10%-50%of all cases.Abdominal tub...To the Editor:Tuberculosis remains a major global health concern and ranks among the leading causes of death from infectious diseases.Extrapulmonary forms are estimated to account for 10%-50%of all cases.Abdominal tuberculosis is more frequently observed in middle-aged individuals and is often associated with lower socioeconomic status,with the peritoneum and small bowel—particularly the ileocecal region—being the most commonly affected sites[1].Pancreatic tuberculosis,however,remains extremely rare,even in countries with a high disease burden.It most commonly occurs in the context of military tuberculosis in immunocompromised individuals,although an increasing number of cases have recently been reported in immunocompetent patients[2].展开更多
BACKGROUND Accurate T-staging of early gastric cancer(EGC)is critical for selecting the most appropriate treatment strategy.Although the reported diagnostic performance of endoscopic ultrasound(EUS)in determining T st...BACKGROUND Accurate T-staging of early gastric cancer(EGC)is critical for selecting the most appropriate treatment strategy.Although the reported diagnostic performance of endoscopic ultrasound(EUS)in determining T stage varies among studies,it continues to serve as an important tool in the pretreatment assessment of EGC.AIM To identify clinicopathological factors that affect the diagnostic accuracy of EUS in EGC,with particular emphasis on mucosal lesions(Tis/T1a).METHODS We included EGC patients who underwent endoscopic resection or gastrectomy.The diagnostic accuracy of EUS was assessed by comparing its T-stage evaluation with the histopathological results of the resected specimens.Additionally,potential risk factors associated with the over staging of Tis/T1a lesions by EUS were investigated.RESULTS A total of 209 patients were included in this study.The overall diagnostic accuracy of EUS for T staging was 74.64%.However,the sensitivity of EUS in identifying Tis/T1a gastric cancers was relatively low at 41.25%.Risk factor analysis showed that younger age(P=0.035)and the presence of ulceration(P<0.001)were significantly associated with over staging of Tis/T1a lesions.In multivariate analysis,ulceration remained the only independent predictor of over staging,with an odds ratio of 15.25(95% confidence interval:3.23-71.98;P<0.001).CONCLUSION The accuracy of EUS for staging Tis/T1a early gastric cancer is markedly reduced when gastric ulceration is present.Therefore,EUS-based staging should be interpreted cautiously in patients with ulcer-related lesions.展开更多
Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,i...Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,in which a mechanism model,a light gradient boosting machine(LightGBM)-based residual learning module,and a physics-constrained distillation mechanism are integrated.By combining physical consistency with nonlinear fitting capability,an accurate mapping between process variables and width spread is achieved.Experimental results show that the proposed framework outperforms the mechanism model and seven representative data-driven models in terms of mean absolute error,root-mean-square error,and coefficient of determination.Moreover,Shapley additive explanations(SHAP)method is employed for interpretable diagnostics of PI-MLRL predictions,clarifying the effects of key variables on width spread under different operating conditions.Finally,the proposed framework was deployed on a 2160-mm HSR production line,and application results showed that the width spread prediction error was maintained within±3 mm,thereby confirming its engineering applicability.展开更多
BACKGROUND Febrile seizures(FS)are common pediatric neurological disorders typically triggered by fever,affecting children aged 6 months to 5 years.Although usually benign,early and accurate diagnosis is crucial for e...BACKGROUND Febrile seizures(FS)are common pediatric neurological disorders typically triggered by fever,affecting children aged 6 months to 5 years.Although usually benign,early and accurate diagnosis is crucial for effective management.AIM To investigate the diagnostic potential of interleukin-1 beta(IL-1β)and micro-RNA-146a(miR-146a)in distinguishing FS from healthy subjects(HS),fever-only(FO),and seizure-only(SO)cases.METHODS Pediatric patients were grouped into FS(n=68),HS(n=52),FO(n=52),and SO(n=32).Blood samples were collected within 30 minutes of seizure onset or fever presentation.Plasma samples were analyzed for IL-1β(enzyme-linked immuno-sorbent assay)and miR-146a(real-time polymerase chain reaction).Group comparisons were conducted using analysis of variance or the non-parametric alternative(Kruskal-Wallis test),while diagnostic performance was evaluated through receiver operating characteristic curve analysis.RESULTS IL-1βlevels showed the highest level in FS,followed by FO and SO,with HS showing the lowest levels.IL-1βdistinguished FS from HS with an area under the curve(AUC)of 0.9983(sensitivity:100%,specificity:96.15%).miR-146a was lowest in FS and highest in HS,achieving an AUC of 1.000(sensitivity:100%,specificity:98.08%).IL-1βand miR-146a also effectively differentiated FS from FO and SO,with respective AUCs of 0.8862 and 0.8173 for FS vs FO.CONCLUSION IL-1βand miR-146a could be promising diagnostic biomarkers for FS,distinguishing FS from HS,FO,and SO with high sensitivity and specificity.These markers possess the potential to enhance early FS diagnosis.展开更多
Artificial intelligence in ophthalmology encounters a continual challenge:Systems proficient in picture classification seldom yield quantifiable enhancements in patient outcomes.The primary concern is the disparity be...Artificial intelligence in ophthalmology encounters a continual challenge:Systems proficient in picture classification seldom yield quantifiable enhancements in patient outcomes.The primary concern is the disparity between pixel-level performance metrics and their clinical significance.Primary obstacles encompass data bias,domain shift,and label noise,exacerbated by the lack of prospective,randomized deployment trials.The frequent disregard for patient-centered objectives,cost-effectiveness,and equity evaluations is significant.Rectifying these deficiencies necessitates stringent external validation,established decision criteria,and ongoing surveillance within actual clinical practices.Transparent reporting criteria and the deliberate incorporation of human-factors engineering are essential.Only by bridging this gap can algorithmic accuracy be converted into significant diagnostic precision for glaucoma,diabetic retinopathy,and macular conditions(specifically diabetic macular edema and agerelated macular degeneration).This paper aims to assess the limits of using high-performing artificial intelligence systems in ocular image processing,which seldom lead to enhanced patient outcomes,and to delineate the scientific,clinical,and practical techniques required to close this gap.展开更多
Timely resolution of diagnostic disagreements is a cornerstone of effective radiology quality assurance,particularly within imaging-intensive clinical trial environments.In a recent quality improvement study published...Timely resolution of diagnostic disagreements is a cornerstone of effective radiology quality assurance,particularly within imaging-intensive clinical trial environments.In a recent quality improvement study published in the World Journal of Clinical Cases,Virarkar et al evaluated the operational impact of implementing a dedicated consult shift supported by real-time dashboard monitoring within a quantitative imaging analysis core.By comparing disagreement resolution times across pre-and post-implementation periods spanning 2017-2025,the authors demonstrated a marked and statistically significant reduction in both mean and median time to resolution.This editorial contextualizes these findings within the broader literature on radiology workflow optimization,diagnostic error mitigation,and quality assurance frameworks.The study underscores how structured process redesign,combined with digital infrastructure and defined accountability,can meaningfully enhance operational efficiency and reliability.Beyond local impact,the intervention provides a scalable model for radiology departments seeking to reduce diagnostic delays while preserving accuracy and collaborative oversight.展开更多
Colonic diverticular hemorrhage is a major cause of acute lower gastrointestinal bleeding,particularly in aging populations with increasing prevalence of diverticulosis.Its pathogenesis is multifactorial,involving vas...Colonic diverticular hemorrhage is a major cause of acute lower gastrointestinal bleeding,particularly in aging populations with increasing prevalence of diverticulosis.Its pathogenesis is multifactorial,involving vascular fragility of the vasa recta,mechanical stress,and patient-related factors such as comorbidities and use of antithrombotic agents.Diagnosis remains challenging due to the intermittent nature of bleeding,with colonoscopy serving as the primary tool and computed tomography angiography providing complementary value for source localization.Endoscopic therapy,especially band ligation,has demonstrated superiority over clipping in reducing rebleeding,while transcatheter arterial embolization has emerged as an effective salvage approach when endoscopic treatment fails.Surgical intervention is reserved for refractory or complicated cases.Recent advances include risk stratification models to guide management and early feeding strategies to accelerate recovery.Despite these improvements,challenges remain in recurrence prevention and individualized treatment selection.This editorial synthesizes current evidence on the etiology,diagnostic modalities,and evolving therapeutic strategies of colonic diverticular hemorrhage,aiming to support clinical decision-making and optimize patient outcomes.展开更多
This review elucidates the diagnostic classification of stroke in Traditional Mongolian Medicine(TMM).Rooted in the balance of"Three Roots"(Khii,Shar,Badgan),TMM classifies stroke into two primary types:&quo...This review elucidates the diagnostic classification of stroke in Traditional Mongolian Medicine(TMM).Rooted in the balance of"Three Roots"(Khii,Shar,Badgan),TMM classifies stroke into two primary types:"Gal"(hot)and"Wusu"(cold),corresponding to hemorrhagic and ischemic stroke in modern medicine,respectively.Furthermore,modern clinical practice within TMM refines this into five distinct syndromes(Khii,Shar,Badgan,Qisu,Shar Wusu)based on detailed analysis of symptoms,pulse,tongue,and urine.This systematic and holistic framework addresses the heterogeneity of stroke presentations and enables personalized therapeutic adjustments.By integrating TMM diagnostic principles with neuroimaging techniques,this review provides a valuable reference for clinicians and researchers,aiming to incorporate evidence-based TMM into contemporary stroke care,and facilitating more precise and patient-centric treatment strategies.展开更多
BACKGROUND Fecal calprotectin(FC)has demonstrated good efficacy in assessing disease activity in inflammatory bowel disease;however,its value in detecting colorectal cancer(CRC)remains unclear.Although most symptomati...BACKGROUND Fecal calprotectin(FC)has demonstrated good efficacy in assessing disease activity in inflammatory bowel disease;however,its value in detecting colorectal cancer(CRC)remains unclear.Although most symptomatic patients actually present with normal or minor pathological findings,they often still undergo colonoscopy in many clinical scenarios,resulting in unnecessary utilization of healthcare resources.AIM To investigate the diagnostic value of FC in colorectal tumors,and to determine whether the combination of FC with high-sensitivity quantitative fecal immunochemical test(hs-qFIT)can improve diagnostic efficacy for colorectal tumors compared to either test alone.METHODS We enrolled medium-and high-risk individuals for CRC who underwent colonoscopy in the Department of Gastroenterology and Hepatology or received surgical treatment in the Department of General Surgery at the First Medical Center of Chinese People’s Liberation Army General Hospital between March 2024 and January 2026.FC and hs-qFIT were performed prior to colonoscopy or gastrointestinal surgery.The diagnostic performance of FC,hs-qFIT,and their combination for CRC and adenomas was evaluated by calculating sensitivity,specificity,and the area under the receiver operating characteristic curve(AUC).RESULTS A total of 120 subjects were included in this study.The sensitivity of FC for diagnosing CRC was 77.5%[95%confidence interval(CI):61.7%-88.6%],the specificity was 65%(95%CI:48.5%-78.8%),the positive predictive value(PPV)was 68.9%(95%CI:53.5%-81.2%),the negative predictive value was 74.3%(95%CI:57.1%-86.8%),and the AUC was 0.797(95%CI:0.697-0.897).The combination of FC and hs-qFIT increased the sensitivity for diagnosing CRC to 87.5%(95%CI:73%-95.8%),increased the negative predictive value to 82.8%(95%CI:64.7%-93.2%),and achieved an AUC of 0.866(0.784-0.949),indicating that the combined strategy improves diagnostic performance for CRC.However,the combined test missed 12.5%of CRC cases.This strategy may help determine the urgency of further evaluation,but double-negative results cannot yet completely rule out a diagnosis of CRC.The combination of FC and hs-qFIT increased the sensitivity for diagnosing any colorectal lesion to 76.3%(95%CI:65.5%-84.7%)and the PPV to 79.2%(95%CI:68.5%-87.2%).Although the performance was poorer than that for CRC,the combined test may provide some guidance for referral of patients with colorectal lesions.CONCLUSION FC serves as a reliable biomarker for diagnosing CRC,and its combination with hs-qFIT further enhances both the sensitivity and negative predictive value for CRC detection,thereby improving the overall diagnostic efficacy for colorectal tumors.展开更多
While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput...While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.展开更多
基金funding from Grant No. HIDSS-0002 DASHH (Data Science in Hamburg-Helmholtz Graduate School for the Structure of Matter)partially supported by the Helmholtz Imaging platform through the project “Smart Phase.”
摘要Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.
基金supported by the National Key Laboratory of Plasma Physics,Laser Fusion Research Center,China Academy of Engineering Physics under the National Natural Science Foundation of China(Grant Nos.12127810 and 12475242).
摘要Laser-driven inertial confinement fusion(ICF)is an important experimental platform for high-energy-density physics research under extreme conditions.In ICF research,high-quality shock waves are key to fusion energy release.The velocity interferometer system for any reflector(VISAR)is the most important diagnostic technique for measuring quantities such as shock wave and particle velocities with high precision and high spatiotemporal resolution.This paper provides a detailed introduction to the various configurations of VISAR on 10 and 100 kJ-level laser facilities in China,including Line VISAR,Dual-Axis VISAR,Wide-Angle VISAR,and Compressed Ultrafast Photography-VISAR.Recent advances and applications of VISAR diagnostics at these laser facilities are presented,and the future trend of development of high-spatiotemporal-resolution velocity diagnostic technology is described.
基金supported by Military Key Clinical Speciality(No.51561Z23612)Chongqing Talents Project(No.cstc2022ycjh-bgzxm0091)。
摘要Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we evaluated the diagnostic efficacy of multigene testing in non-diagnostic thyroid nodules and developed a predictive model integrating molecular and clinical data.Methods:In this prospective cohort study,1,175 patients with thyroid nodules were evaluated for inclusion,of which 218 patients with Bethesda I nodules met our inclusion criteria.The primary outcome was diagnostic accuracy of molecular testing,and the secondary outcome was the performance of a predictive model integrating molecular and clinical data.Results:Final histopathology identified 165 benign and 53 malignant nodules.Molecular testing detected 10distinct point mutations and seven gene fusions.Among benign nodules,147 tested negative and 18 tested positive,whereas 44 malignant nodules tested positive and nine tested negative.In nodules with ultrasound grades 4-5 and fine-needle aspiration cytology(FNAC)results categorized as non-diagnostic,molecular testing achieved sensitivity of 83.00%,specificity of 89.00%,positive predictive value(PPV)of 71.00%,negative predictive value(NPV)of94.20%,and overall accuracy of 87.60%.The predictive model incorporated 18 clinical and 19 molecular features.Eleven non-zero predictors were selected via least absolute shrinkage and selection operator(LASSO),and the model achieved area under curve(AUC)of 0.95 in the training set and 0.96 in the testing set.Decision curve analysis indicated greater net benefit compared with conventional diagnostic approaches.Conclusions:Molecular testing significantly improved diagnostic accuracy for Bethesda I thyroid nodules.Integrating molecular and clinical data enabled the development of a robust predictive model,facilitating precise,individualized patient management and reducing the need for repeat FNAC and unnecessary surgeries.
摘要Kawasaki disease(KD)is a systemic vasculitis of unknown etiology in children with coronary artery lesions(CALs)being its most concerning complication.Untimely diagnosis may lead to long-term cardiac damage and adult-onset cardiovascular disease.Researchers have long sought to identify risk factors for predicting high-risk CALs development in patients with KD.Domestic and international scholars have established scoring systems and predictive models to assess CAL risk based on these factors.This review summarized recent advances in four key areas:(1)Diagnostic prediction scoring systems;(2)Biomarker indicators;(3)Analytical methods;and(4)Predictive models for KD-associated cardiovascular complications,aiming to provide references for CAL prediction in KD.
摘要BACKGROUND Delays in resolving diagnostic disagreements within the quantitative imaging analysis core can impede clinical workflow and compromise patient care.To address this,a dedicated consult shift was initiated in 2023.This intervention included real-time monitoring through a dashboard overseen by an imaging specialist who alerted the designated consultant for immediate evaluation and resolution.AIM To evaluate the impact of a dedicated consult shift on diagnostic disagreement resolution times and operational efficiency.METHODS This retrospective quality improvement study analyzed timestamp data from 1245 cases of diagnostic disagreement spanning the period from 2017 to 2025.Cases were stratified into two groups:Pre-implementation(2017-2022)and postimplementation(2023-2025).The primary metric was time to resolution in days.Both means and medians were compared using an independent samples t-test and a Mann-Whitney U test,respectively.RESULTS The average time to resolution significantly decreased from 100.58 days(2017-2022)to 33.05 days(2023-2025)(t=10.02,P<0.0001).Additionally,the median time to resolution dropped from 20.90 days to 5.02 days,a statistically significant reduction confirmed by the Mann-Whitney U test(U=241577,P<0.0001).CONCLUSION The introduction of a dedicated consult shift,supported by real-time dashboard tracking,led to a significant improvement in both average and median resolution times for diagnostic disagreements.This intervention optimized the workflow and reinforced quality assurance processes in a clinical trial imaging setting.
基金supported by Shenzhen Science and Technology Program, No. JCYJ20230807110259002 (to JL)The Seventh Affiliated Hospital of Sun Yat-sen University, No. ZSQYRSFPD0050 (to JL)The Postdoctoral Fellowship Program of CPSF, No. GZC20242074 (to KT)
摘要Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regulation of oxidative stress-related genes could enhance the diagnosis and treatment of spinal cord injury.In this study,we analyzed the sequencing data of human blood samples and injured mouse spinal cord tissue that were sourced from GEO databases and identified diagnostic biomarkers associated with the severity of spinal cord injury.We also explored the expression patterns of oxidative stress-related genes,potential regulatory mechanisms,and therapeutic drugs.To validate our findings,we performed immunofluorescence and quantitative polymerase chain reaction to assess gene expression in the injured spinal cord.Our results revealed biomarkers associated with oxidative stress and immune responses across different levels of spinal cord injury in humans.We identified differentially expressed oxidative stress-related genes and key hub genes in injured mouse spinal cord tissue and revealed their temporal expression patterns at both the tissue and single-cell levels.We also clarified the signaling pathways associated with oxidative stress and identified ligand-receptor pairs among various cell types at different time points after injury.Furthermore,we discovered microRNAs,long non-coding RNAs,and transcription factors that regulate these hub genes and revealed their roles in modulating gene expression at various stages after spinal cord injury.We also identified drugs targeting these hub genes.The findings from this study not only aid in identifying diagnostic biomarkers that reflect the severity of spinal cord injury,but also provide insights into the expression dynamics of oxidative stress-related genes.In addition,the study reveals potential regulatory mechanisms and identifies potential drugs to treat patients with spinal cord injury.
基金National Natural Science Foundation of China,No.82405067(to YW)。
摘要MicroRNAs(miRNAs),small non-coding RNAs ranging from 19 to 25 nucleotides in length,are key regulators of gene expression that function primarily by inhibiting the translation of target mRNAs.Recent studies have suggested that miRNAs play important roles in regulating key aspects in the pathology of Alzheimer's disease,including the modulation and accumulation of amyloid-beta and tau proteins.Moreover,miRNAs have been implicated in the regulation of neuroinflammation thro ugh various inflammatory pathways,notably the nuclear factor kappa B signaling cascade.Additional emerging evidence has shown that miRNAs regulate synaptic growth and maturation,and they perform promising roles in regulating neuronal death and development.miRNAs also offer a novel avenue for direct reprogramming of neurons,representing a promising strategy for Alzheimer's disease treatment.The regulation of miRNA biogenesis and the post-transcriptional modifications of miRNAs are critical factors in Alzheimer's disease pathology,influencing miRNA activity and disease progression.In this review,we comprehensively explore the role of different miRNAs in regulating various pathological processes associated with Alzheimer's disease,focusing primarily on four representative miRNAs:miR-9,miR-29,miR-126,and miR-146a for further exploration.We also discuss the influence of miRNA biogenesis on Alzheimer's disease,emphasizing how dysregulation of miRNA processing may contribute to the disease.Additionally,we highlight the potential of miRNAs as both diagnostic biomarke rs and therapeutic targets in Alzheimer's disease,along with promising vector delive ry strategies aimed at improving clinical outcomes.Finally,we discuss the challenges and limitations associated with the use of miRNAs in the diagnosis and treatment of Alzheimer's disease.By reviewing the current clinical applications of miRNAs as biomarkers and therapeutic agents,we aim to provide insights that will inform future research and development in this promising field.
基金supported by the CAMS Innovation Fund for Medical Sciences (CIFMS)(No.2021-1-I2M-020)National High Level Hospital Clinical Research Funding (No.2022-PUMCH-B-109)National Natural Science Foundation of China (82402543)。
摘要BACKGROUND:Although the Confusion Assessment Methods for the Intensive Care Unit(CAMICU) is a recommended tool for diagnosing sepsis-associated encephalopathy(SAE),it has several limitations.Mismatch-negativity(MMN) and P3a are components of event-related potentials(ERPs) used with electroencephalography(EEG) and are associated with cerebral function changes in critically ill patients.This study aimed to provide a quantitative,non-invasive method to guide SAE diagnosis in nonsedated patients.METHODS:From January 2022 to March 2023,sepsis patients without sedation were enrolled and assessed via the CAM-ICU,Glasgow Coma Scale(GCS),and ERP under standard procedures.Both MMN and P3a data were collected.The diagnostic value of MMN and P3a was assessed with processed ERP data.RESULTS:Thirty-six patients were included in this study,comprising 19 patients with SAE and 17 patients without SAE(NSAE).MMN and P3a amplitudes decreased,and only FzMMN amplitude significantly decreased in SAE patients(2.03 [1.08,2.93] mV vs.3.21 [1.92,4.34] mV,P=0.040).After median dichotomization,low F3P3a and FzP3a amplitudes were associated with higher CAM-ICU positivity rates and APACHE II scores.Both amplitude in F3P3a(AUC=0.710,95%CI:0.527–0.893,P=0.034) and FzP3a(AUC=0.700,95%CI:0.519–0.881,P=0.041) exhibited moderate diagnostic efficacy for SAE,while FzMMN amplitude lacks effective diagnostic value.CONCLUSION:In this pilot study,ERP components F3P3a and FzP3a amplitudes demonstrated moderate diagnostic value for SAE.These exploratory findings require confirmation in larger and powered cohorts.
基金supported by the National Natural Science Foundation of China(Grant Nos.52125304 and 32330060)the National Key R&D Program of China(Grant No.2022YFA1206000)+3 种基金the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD),the Key R&D Plan of Jiangsu Province(Grant No.BE2022724)the Project of State Key Laboratory of Radiation Medicine and Protection Soochow University(Grant No.GZN1202301)the Interdisciplinary Basic Frontier Innovation Program of Suzhou Medical College of Soochow University(Grant No.YXY2304078)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.23KJB350007).
摘要Biomineralization is a highly regulated,multi-scale biological process that is well-characterized in physiologic contexts but remains poorly understood in pathologic settings.Tumor-associated calcification frequently occurs in clinical practice but is often regarded as an imaging feature rather than an active biological phenomenon.Existing evidence has indicated that tumor calcification is closely linked to cancer progression,prognosis,and underlying biological behavior.This review synthesizes current knowledge on tumor-associated biomineralization from a multidisciplinary perspective,integrating insights from oncology,cell biology,pathology,materials science,and systems biology.The major types and microstructural features of calcium deposition that occur in tumors are summarized and the clinical correlations are discussed.The proposed molecular and cellular mechanisms,including organelle-mediated mineral nucleation,metabolic regulation,differentiation-driven processes,and cell fate-dependent pathways,were further examined.Advances in multi-omics technologies,biomimetic models,and analytical characterization methods are highlighted as critical enablers for mechanistic investigation across biological scales.Finally,emerging strategies that exploit induced tumor calcification using engineered materials as a potential drug free therapeutic and diagnostic approach are discussed.By framing tumor calcification as an active,regulated phenotype,this review aims to provide a unified conceptual framework,identify current knowledge gaps,and encourage future research toward translational applications in cancer diagnosis and treatment.
基金Supported by Science and Technique Commission of Shanghai Municipality,No.21Y11921800Shanghai Municipal Health Commission,No.202540163.
摘要BACKGROUND Pyrrolizidine-alkaloid induced hepatic sinusoidal obstruction syndrome(PAHSOS)is a rare and severe drug-induced liver injury with nonspecific manifestations.Its diagnosis currently relies on exclusive strategies and often necessitates invasive examinations,posing significant clinical challenges.The potential role of artificial intelligence algorithms in diagnosing PA-HSOS remains to be established.AIM To develop and validate a deep-learning-based diagnostic model for PA-HSOS using computed tomography images.METHODS This multicenter case-control study compared PA-HSOS patients with Budd-Chiari syndrome and hepatitis B cirrhosis patients as controls.Patients from Zhongshan Hospital,Fudan University were retrospectively assigned to training or internal test cohorts,while those from the First Affiliated Hospital of Zhengzhou University formed an external cohort.We constructed the diagnostic models using multiscale convolutional modules.Model performance was compared with gastroenterologists and radiologists of varying expertise levels.Additionally,diagnostic outcomes and interpretation time with and without model assistance were evaluated.RESULTS Diagnostic models with deep learning methods using computed tomography images for PA-HSOS were developed.In the internal test cohort,models with different input sizes achieved area under the curve ranging from 0.853 to 0.944.Model 96(96-mm input)demonstrated significantly higher accuracy and specificity than resident physicians(both internal medicine and radiology;P<0.05)and comparable performance to attending specialists.The area under the curve of model 96 in the external test cohort was 0.873.When assisting clinicians,model 96 significantly improved diagnostic accuracy for internal medicine residents(0.541 to 0.757)and attending gastroenterologists(0.730 to 0.892),while reducing interpretation time across all expertise levels(all P<0.05).CONCLUSION The deep learning model demonstrates promising diagnostic performance for PA-HSOS and can effectively assist clinicians in improving diagnostic accuracy and efficiency.
摘要To the Editor:Tuberculosis remains a major global health concern and ranks among the leading causes of death from infectious diseases.Extrapulmonary forms are estimated to account for 10%-50%of all cases.Abdominal tuberculosis is more frequently observed in middle-aged individuals and is often associated with lower socioeconomic status,with the peritoneum and small bowel—particularly the ileocecal region—being the most commonly affected sites[1].Pancreatic tuberculosis,however,remains extremely rare,even in countries with a high disease burden.It most commonly occurs in the context of military tuberculosis in immunocompromised individuals,although an increasing number of cases have recently been reported in immunocompetent patients[2].
基金Supported by the National Natural Science Foundation of China,No.82572175 and No.82172012.
摘要BACKGROUND Accurate T-staging of early gastric cancer(EGC)is critical for selecting the most appropriate treatment strategy.Although the reported diagnostic performance of endoscopic ultrasound(EUS)in determining T stage varies among studies,it continues to serve as an important tool in the pretreatment assessment of EGC.AIM To identify clinicopathological factors that affect the diagnostic accuracy of EUS in EGC,with particular emphasis on mucosal lesions(Tis/T1a).METHODS We included EGC patients who underwent endoscopic resection or gastrectomy.The diagnostic accuracy of EUS was assessed by comparing its T-stage evaluation with the histopathological results of the resected specimens.Additionally,potential risk factors associated with the over staging of Tis/T1a lesions by EUS were investigated.RESULTS A total of 209 patients were included in this study.The overall diagnostic accuracy of EUS for T staging was 74.64%.However,the sensitivity of EUS in identifying Tis/T1a gastric cancers was relatively low at 41.25%.Risk factor analysis showed that younger age(P=0.035)and the presence of ulceration(P<0.001)were significantly associated with over staging of Tis/T1a lesions.In multivariate analysis,ulceration remained the only independent predictor of over staging,with an odds ratio of 15.25(95% confidence interval:3.23-71.98;P<0.001).CONCLUSION The accuracy of EUS for staging Tis/T1a early gastric cancer is markedly reduced when gastric ulceration is present.Therefore,EUS-based staging should be interpreted cautiously in patients with ulcer-related lesions.
基金supported by the National Key Research and Development Plan(Grant No.2023YFB3712400).
摘要Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,in which a mechanism model,a light gradient boosting machine(LightGBM)-based residual learning module,and a physics-constrained distillation mechanism are integrated.By combining physical consistency with nonlinear fitting capability,an accurate mapping between process variables and width spread is achieved.Experimental results show that the proposed framework outperforms the mechanism model and seven representative data-driven models in terms of mean absolute error,root-mean-square error,and coefficient of determination.Moreover,Shapley additive explanations(SHAP)method is employed for interpretable diagnostics of PI-MLRL predictions,clarifying the effects of key variables on width spread under different operating conditions.Finally,the proposed framework was deployed on a 2160-mm HSR production line,and application results showed that the width spread prediction error was maintained within±3 mm,thereby confirming its engineering applicability.
基金Supported by the Department of Research and Technology,Golestan University of Medical Sciences,Iran,No.113610the Oman Ministry of Higher Education,Research,and Innovation,No.BFP/RGP/HSS/24/015.
摘要BACKGROUND Febrile seizures(FS)are common pediatric neurological disorders typically triggered by fever,affecting children aged 6 months to 5 years.Although usually benign,early and accurate diagnosis is crucial for effective management.AIM To investigate the diagnostic potential of interleukin-1 beta(IL-1β)and micro-RNA-146a(miR-146a)in distinguishing FS from healthy subjects(HS),fever-only(FO),and seizure-only(SO)cases.METHODS Pediatric patients were grouped into FS(n=68),HS(n=52),FO(n=52),and SO(n=32).Blood samples were collected within 30 minutes of seizure onset or fever presentation.Plasma samples were analyzed for IL-1β(enzyme-linked immuno-sorbent assay)and miR-146a(real-time polymerase chain reaction).Group comparisons were conducted using analysis of variance or the non-parametric alternative(Kruskal-Wallis test),while diagnostic performance was evaluated through receiver operating characteristic curve analysis.RESULTS IL-1βlevels showed the highest level in FS,followed by FO and SO,with HS showing the lowest levels.IL-1βdistinguished FS from HS with an area under the curve(AUC)of 0.9983(sensitivity:100%,specificity:96.15%).miR-146a was lowest in FS and highest in HS,achieving an AUC of 1.000(sensitivity:100%,specificity:98.08%).IL-1βand miR-146a also effectively differentiated FS from FO and SO,with respective AUCs of 0.8862 and 0.8173 for FS vs FO.CONCLUSION IL-1βand miR-146a could be promising diagnostic biomarkers for FS,distinguishing FS from HS,FO,and SO with high sensitivity and specificity.These markers possess the potential to enhance early FS diagnosis.
摘要Artificial intelligence in ophthalmology encounters a continual challenge:Systems proficient in picture classification seldom yield quantifiable enhancements in patient outcomes.The primary concern is the disparity between pixel-level performance metrics and their clinical significance.Primary obstacles encompass data bias,domain shift,and label noise,exacerbated by the lack of prospective,randomized deployment trials.The frequent disregard for patient-centered objectives,cost-effectiveness,and equity evaluations is significant.Rectifying these deficiencies necessitates stringent external validation,established decision criteria,and ongoing surveillance within actual clinical practices.Transparent reporting criteria and the deliberate incorporation of human-factors engineering are essential.Only by bridging this gap can algorithmic accuracy be converted into significant diagnostic precision for glaucoma,diabetic retinopathy,and macular conditions(specifically diabetic macular edema and agerelated macular degeneration).This paper aims to assess the limits of using high-performing artificial intelligence systems in ocular image processing,which seldom lead to enhanced patient outcomes,and to delineate the scientific,clinical,and practical techniques required to close this gap.
基金Supported by National Natural Science Foundation of China,No.82170406 and No.81970238.
摘要Timely resolution of diagnostic disagreements is a cornerstone of effective radiology quality assurance,particularly within imaging-intensive clinical trial environments.In a recent quality improvement study published in the World Journal of Clinical Cases,Virarkar et al evaluated the operational impact of implementing a dedicated consult shift supported by real-time dashboard monitoring within a quantitative imaging analysis core.By comparing disagreement resolution times across pre-and post-implementation periods spanning 2017-2025,the authors demonstrated a marked and statistically significant reduction in both mean and median time to resolution.This editorial contextualizes these findings within the broader literature on radiology workflow optimization,diagnostic error mitigation,and quality assurance frameworks.The study underscores how structured process redesign,combined with digital infrastructure and defined accountability,can meaningfully enhance operational efficiency and reliability.Beyond local impact,the intervention provides a scalable model for radiology departments seeking to reduce diagnostic delays while preserving accuracy and collaborative oversight.
摘要Colonic diverticular hemorrhage is a major cause of acute lower gastrointestinal bleeding,particularly in aging populations with increasing prevalence of diverticulosis.Its pathogenesis is multifactorial,involving vascular fragility of the vasa recta,mechanical stress,and patient-related factors such as comorbidities and use of antithrombotic agents.Diagnosis remains challenging due to the intermittent nature of bleeding,with colonoscopy serving as the primary tool and computed tomography angiography providing complementary value for source localization.Endoscopic therapy,especially band ligation,has demonstrated superiority over clipping in reducing rebleeding,while transcatheter arterial embolization has emerged as an effective salvage approach when endoscopic treatment fails.Surgical intervention is reserved for refractory or complicated cases.Recent advances include risk stratification models to guide management and early feeding strategies to accelerate recovery.Despite these improvements,challenges remain in recurrence prevention and individualized treatment selection.This editorial synthesizes current evidence on the etiology,diagnostic modalities,and evolving therapeutic strategies of colonic diverticular hemorrhage,aiming to support clinical decision-making and optimize patient outcomes.
基金Supported by the National Key Research and Development Program,Key Special Project of"Modernization of Traditional Chinese Medicine"in 2023(2023YFC3503100)the Research on the Improvement of Diagnostic and Treatment Theory of Mongolian Medicine in Treating Coronary Heart Disease and Integrated Evaluation Technology(2023YFC3503104)the Second Batch of National Excellent Talents Training Program for Ethnic Minority Medicine(Mongolian Medicine).
摘要This review elucidates the diagnostic classification of stroke in Traditional Mongolian Medicine(TMM).Rooted in the balance of"Three Roots"(Khii,Shar,Badgan),TMM classifies stroke into two primary types:"Gal"(hot)and"Wusu"(cold),corresponding to hemorrhagic and ischemic stroke in modern medicine,respectively.Furthermore,modern clinical practice within TMM refines this into five distinct syndromes(Khii,Shar,Badgan,Qisu,Shar Wusu)based on detailed analysis of symptoms,pulse,tongue,and urine.This systematic and holistic framework addresses the heterogeneity of stroke presentations and enables personalized therapeutic adjustments.By integrating TMM diagnostic principles with neuroimaging techniques,this review provides a valuable reference for clinicians and researchers,aiming to incorporate evidence-based TMM into contemporary stroke care,and facilitating more precise and patient-centric treatment strategies.
摘要BACKGROUND Fecal calprotectin(FC)has demonstrated good efficacy in assessing disease activity in inflammatory bowel disease;however,its value in detecting colorectal cancer(CRC)remains unclear.Although most symptomatic patients actually present with normal or minor pathological findings,they often still undergo colonoscopy in many clinical scenarios,resulting in unnecessary utilization of healthcare resources.AIM To investigate the diagnostic value of FC in colorectal tumors,and to determine whether the combination of FC with high-sensitivity quantitative fecal immunochemical test(hs-qFIT)can improve diagnostic efficacy for colorectal tumors compared to either test alone.METHODS We enrolled medium-and high-risk individuals for CRC who underwent colonoscopy in the Department of Gastroenterology and Hepatology or received surgical treatment in the Department of General Surgery at the First Medical Center of Chinese People’s Liberation Army General Hospital between March 2024 and January 2026.FC and hs-qFIT were performed prior to colonoscopy or gastrointestinal surgery.The diagnostic performance of FC,hs-qFIT,and their combination for CRC and adenomas was evaluated by calculating sensitivity,specificity,and the area under the receiver operating characteristic curve(AUC).RESULTS A total of 120 subjects were included in this study.The sensitivity of FC for diagnosing CRC was 77.5%[95%confidence interval(CI):61.7%-88.6%],the specificity was 65%(95%CI:48.5%-78.8%),the positive predictive value(PPV)was 68.9%(95%CI:53.5%-81.2%),the negative predictive value was 74.3%(95%CI:57.1%-86.8%),and the AUC was 0.797(95%CI:0.697-0.897).The combination of FC and hs-qFIT increased the sensitivity for diagnosing CRC to 87.5%(95%CI:73%-95.8%),increased the negative predictive value to 82.8%(95%CI:64.7%-93.2%),and achieved an AUC of 0.866(0.784-0.949),indicating that the combined strategy improves diagnostic performance for CRC.However,the combined test missed 12.5%of CRC cases.This strategy may help determine the urgency of further evaluation,but double-negative results cannot yet completely rule out a diagnosis of CRC.The combination of FC and hs-qFIT increased the sensitivity for diagnosing any colorectal lesion to 76.3%(95%CI:65.5%-84.7%)and the PPV to 79.2%(95%CI:68.5%-87.2%).Although the performance was poorer than that for CRC,the combined test may provide some guidance for referral of patients with colorectal lesions.CONCLUSION FC serves as a reliable biomarker for diagnosing CRC,and its combination with hs-qFIT further enhances both the sensitivity and negative predictive value for CRC detection,thereby improving the overall diagnostic efficacy for colorectal tumors.
基金supported by the National Natural Science Foundation of China(32171022,32221005,and 32401246).
摘要While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.