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Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization for the diagnosis of hepatocellular carcinoma 认领 引用
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作者 Xue-Qin Xia Ruo-Fan Sheng +9 位作者 Ren-Cheng Zheng Yu-Xiang Dai Li Yang Ying-Hua Chu Hui Zhang Xin-Ran Wu Nan-Nan Shi Cheng-Yan Wang Meng-Su Zeng He Wang 《World Journal of Gastroenterology》 SCIE CAS 2026年第14期32-46,共15页
BACKGROUND The Liver Imaging Reporting and Data System(LI-RADS)is widely used for the diagnosis of hepatocellular carcinoma,but feature scoring by radiologists is subjective and time-consuming.An urgent need exists fo... BACKGROUND The Liver Imaging Reporting and Data System(LI-RADS)is widely used for the diagnosis of hepatocellular carcinoma,but feature scoring by radiologists is subjective and time-consuming.An urgent need exists for an objective and efficient radiologist-supervised automated LI-RADS categorization system.AIM To develop an evidence-based radiologist-supervised automated LI-RADS grade 3(LR-3),4(LR-4)and 5(LR-5)categorization system(Evi-LIRADS)through quantitative feature characterization,following LI-RADS v2018.METHODS This retrospective multicenter study(April 2012-November 2022)included untreated patients with suspected hepatocellular carcinoma undergoing gadoxetic acid-enhanced magnetic resonance imaging.Lesions from center 1 were partitioned into a development set(275 lesions used for five-fold cross-validation)and an internal testing set(62 lesions).Lesions from centers 2(85 lesions)and 3(104 lesions)constituted two external testing sets.Evi-LIRADS was designed by emulating the decision-making process of radiologists through a series of image processing algorithms,to recognize nonrim arterial phase hyper-enhancement,nonperipheral washout,and enhancing capsule,which provided detailed assessments of feature locations and patterns,improving the transparency of feature classification.Based on the three major image features and the automatically segmented lesion size,LIRADS categories were assigned using LI-RADS v2018 algorithm.Feature classification was evaluated using area under the receiver operating characteristic curve.LI-RADS categorization was assessed by accuracy.RESULTS The internal dataset included 337 patients from center 1,while external datasets comprised 76 patients from center 2 and 97 patients from center 3.For feature classification,areas under the receiver operating characteristic curves were 0.975,0.898,and 0.940 for arterial phase hyper-enhancement;0.803,0.824,and 0.850 for washout;0.759,0.800,and 0.784 for capsule across three datasets.Three-class LI-RADS categorization among LR-3,LR-4 and LR-5 achieved accuracies of 80.6%,74.1%,and 77.9%,respectively,surpassing comparison methods(58.6%-69.6%).LIRADS categorization between LR-3 and combined LR-4/LR-5 achieved 95.2%,88.2%,and 90.4%accuracies for the three datasets,respectively.The visualization provided detailed feature locations and patterns.Evi-LIRADS saved an average of 21.1 seconds per patient(58.8%of the time)compared with radiologists,excluding radiologists’quality control time.CONCLUSION Following LI-RADS guidelines and radiologists’decision-making process,Evi-LIRADS was developed through quantitative feature characterization,demonstrating good accuracy,robust generalization,improved efficiency,enhanced clinical relevance,and improved transparency. 展开更多
关键词 Liver Imaging Reporting and Data System Hepatocellular carcinoma Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization Quantitative feature characterization Dynamic contrastenhanced magnetic resonance imaging
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Proposing Incidental-Reporting and Data System:A classification system for incidental findings in radiology 认领 引用
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作者 Nikolaos-Achilleas Arkoudis Ornella Moschovaki-Zeiger +5 位作者 Christos Koutserimpas Niki Lama Georgios Velonakis Dimitrios Filippiadis Stavros Spiliopoulos Nikolaos Kelekis 《World Journal of Radiology》 2026年第3期1-7,共7页
Incidental findings are increasingly common in radiology yet reporting and follow-up remain inconsistent.We introduce Incidental-Reporting and Data System(I-RADS)as a classification system across imaging modalities an... Incidental findings are increasingly common in radiology yet reporting and follow-up remain inconsistent.We introduce Incidental-Reporting and Data System(I-RADS)as a classification system across imaging modalities and anatomical regions.I-RADS aims to improve communication among physicians,standardize recommendations,and promote research.Along with preexisting tools and guidelines,adoption of I-RADS could harmonize the management of incidental findings,improve patient outcomes,and support multicenter studies. 展开更多
关键词 Incidental findings Structured reporting Data system Classification system Standardization Communication Radiology Data harmonization Research Artificial intelligence in radiology
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Comparison of dagnostic performance between senior and junior radiologists using subjective assessment vs ovarian-adnexal reporting and data system 认领 引用
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作者 Hui-Ping Zhang Quan Zhu +4 位作者 Jing-Jing Wu An-Qiang Yang Tian-Tian Chen Juan Zhang Yu-Qing Zhou 《World Journal of Clinical Oncology》 2026年第5期108-114,共7页
BACKGROUND The diagnosis of ovarian-adnexal lesions is challenging due to the variability in radiologist experience,which may lead to inconsistent diagnostic outcomes.The ovarian-adnexal reporting and data system(O-RA... BACKGROUND The diagnosis of ovarian-adnexal lesions is challenging due to the variability in radiologist experience,which may lead to inconsistent diagnostic outcomes.The ovarian-adnexal reporting and data system(O-RADS)aims to standardize ultrasound-based diagnosis;however,optimization of the clinical utility of O-RADS remains unclear.AIM To compare the diagnostic performance of subjective assessment and O-RADS between senior and junior radiologists in ovarian adnexal lesions.METHODS This was a retrospective study and included 364 patients with 414 ovarian-adnexal lesions(30 malignant and 384 benign),all confirmed by pathological examination.A senior radiologist and a junior radiologist independently diagnosed all lesions using subjective assessment and O-RADS,respectively.Diagnostic indices including sensitivity,specificity,and accuracy were compared,and the consistency of O-RADS classification between the two radiologists was analyzed.RESULTS For the senior radiologist,the accuracy of subjective assessment(96.6%,400/414)was significantly higher than that of O-RADS(89.1%,369/414);compared with subjective assessment,O-RADS significantly decreased specificity(97.9%vs 90.1%,χ2=20.812,P<0.001)and accuracy(χ2=17.538,P<0.001),while sensitivity showed no significant change(80.0%vs 76.7%,χ2=0.098,P=0.754).For the junior radiologist,O-RADS significantly improved sensitivity compared with subjective assessment(76.7%vs 46.7%,χ2=5.711,P=0.017),with no significant decreases in specificity(95.3%vs 97.1%,χ2=1.756,P=0.185)or accuracy(94.0%vs 93.4%,χ2=0.082,P=0.775).The O-RADS classification consistency between the senior and junior radiologist was moderate(Kappa=0.475,P<0.001).CONCLUSION Senior radiologists should prioritize subjective assessment to maximize diagnostic accuracy,while junior radiologists can significantly benefit from O-RADS to improve sensitivity in diagnosing malignant lesions. 展开更多
关键词 Ovarian-adnexal reporting and data system Ultrasound Ovarian tumor Diagnostic accuracy Radiologist
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Development and validation of prostate-specific membrane antigen-adjusted Prostate Imaging Reporting and Data System:A new approach to enhancing the accuracy of diagnosing treatment-naïve primary prostate cancer 认领 引用
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作者 Xiaoyuan Li Jieping Song +15 位作者 Xiaochen Yao Zhenyu Zhao Qing Zhang Rushuai Li Pengjun Zhang Wenyu Wu Hongwei Sun Shuyue Ai Fengjiao Yang Hongqian Guo Kuangyu Shi Ali Afshar-Oromieh Longjiang Zhang Guangming Lu Ali Cahid Civelek Feng Wang 《Asian Journal of Urology》 CAS CSCD 2026年第2期154-162,共9页
Objective The diagnostic efficacy of hybrid positron emission tomography(PET)/MRI in detecting primary prostate cancer(PCa)is limited due to the lack of a quantitative integrated analysis.A new Prostate Imaging Report... Objective The diagnostic efficacy of hybrid positron emission tomography(PET)/MRI in detecting primary prostate cancer(PCa)is limited due to the lack of a quantitative integrated analysis.A new Prostate Imaging Reporting and Data System(PI-RADS)incorporating prostate-specific membrane antigen(PSMA)PET for PET/MRI has been introduced to improve primary detection of PCa.Methods One hundred and twenty consecutive patients with high clinical suspicion of PCa were enrolled in this prospective study to assess the diagnostic performance of PSMA-adjusted PI-RADS(PAPI-RADS)using 68Ga-PSMA-11 PET/MRI.Tumor PSMA uptake was assessed semi-quantitatively using the maximum and peak standardized uptake values.The PAPI-RADS was obtained by combining tumor PSMA uptake with PI-RADS.Patients were divided into two groups:a training group(90 patients)and a validation group(30 patients).The cutoff value of PSMA intensity was determined via receiver operating characteristic analysis.PAPI-RADS was then applied to the validation group.Histopathology was used as the gold standard to verify the diagnostic efficacy.Results In the training group,PAPI-RADS detected more cases of PCa than PI-RADS.PAPI-RADS had a sensitivity of 99%,specificity of 100%,negative predictive value of 92%,and overall accuracy of 99%.PI-RADS had a sensitivity of 94%,specificity of 75%,negative predictive value of 64%,and overall accuracy of 90%.PAPI-RADS was significantly better than PI-RADS in detecting PCa(χ2=6.57,p=0.010).The external validation of this study confirmed the diagnostic efficacy of PAPI-RADS in PCa patients.Conclusion PAPI-RADS is significantly better than PI-RADS in detecting PCa.PAPI-RADS can improve the diagnostic accuracy of PCa detection,especially in patients with a PI-RADS score<3 lesions.PAPI-RADS can improve the accuracy of PCa diagnosis and avoid unnecessary biopsies. 展开更多
关键词 Prostate-specific membrane antigen Prostate cancer Prostate Imaging Reporting and Data System Positron emission tomography/MRI Clinically significant prostate cancer
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Establishment and Application of Reimbursement Voucher Data System for Ticket Refund and Change in Railway Passenger Transport 认领 引用
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作者 WANG Hongai ZHANG Zhiqiang +1 位作者 LIU Wentao JIA Hongmei 《Chinese Railways》 2026年第1期32-40,共9页
This paper proposes a systematic solution to address issues with fixedquota paper reimbursement vouchers and handwritten reimbursement vouchers in railway passenger ticket refund and change services,such as the inabil... This paper proposes a systematic solution to address issues with fixedquota paper reimbursement vouchers and handwritten reimbursement vouchers in railway passenger ticket refund and change services,such as the inability to associate information and the inconvenient reimbursement.By categorizing service processes and voucher types,we designed standardized voucher layouts and clarified the data generation requirements.A voucher data system was established to unify data standards and achieve information integration across all channels.Additionally,measures such as transaction integrity assurance,continuous service handling,and convenient and flexible controls were implemented to ensure the reliability and flexibility of the data system.Practical applications have demonstrated that this solution enables the electronic management of ticket refund and change vouchers,significantly increasing service data volume.It provides data and technical support for the full implementation of electronic invoices,effectively enhancing the passenger service experience and improving the informatization level of railway passenger transport management. 展开更多
关键词 railway passenger transport ticket refund and change reimbursement voucher data system closed-loop management
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The Logic and Architecture of Future Data Systems 认领 引用 被引量：1
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作者 Jinghai Li Li Guo 《Engineering》 SCIE EI CSCD 2025年第4期14-15,共2页
This article presents views on the future development of data science,with a particular focus on its importance to artificial intel-ligence(AI).After discussing the challenges of data science,it elu-cidates a possible... This article presents views on the future development of data science,with a particular focus on its importance to artificial intel-ligence(AI).After discussing the challenges of data science,it elu-cidates a possible approach to tackle these challenges by clarifying the logic and principles of data related to the multi-level complex-ity of the world.Finally,urgently required actions are briefly outlined. 展开更多
关键词 data sciencewith data science artificial intelligence future data systems data scienceit challenges clarifying logic principles data architecture
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Evaluating the concordance between Vesical Imaging Reporting and Data System scores and bladder tumor histopathology 认领 引用
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作者 Hasan Gungor Ahmet Camtosun +1 位作者 Ibrahim Topcu Leyla Karaca 《Asian Journal of Urology》 CAS CSCD 2025年第1期87-92,共6页
Objective This study aimed to assess the local staging of bladder tumors in patients utilizing preoperative multiparametric MRI(mpMRI)and to demonstrate the clinical efficacy of this method through a comparative analy... Objective This study aimed to assess the local staging of bladder tumors in patients utilizing preoperative multiparametric MRI(mpMRI)and to demonstrate the clinical efficacy of this method through a comparative analysis with corresponding histopathological findings.Methods Between November 2020 and April 2022,63 patients with a planned cystoscopy and a preliminary or previous diagnosis of bladder tumor were included.All participants underwent mpMRI,and Vesical Imaging Reporting and Data System(VI-RADS)criteria were applied to assess the recorded images.Subsequently,obtained biopsies were histopathologically examined and compared with radiological findings.Results Of the 63 participants,60 were male,and three were female.Categorizing tumors with a VI-RADS score of>3 as muscle invasive,84%were radiologically classified as having an invasive bladder tumor.However,histopathological results indicated invasive bladder tumors in 52%of cases.Sensitivity of the VI-RADS score was 100%;specificity was 23%;the negative predictive value was 100%;and the positive predictive value was 62%.Conclusion The scoring system obtained through mpMRI,VI-RADS,proves to be a successful method,particularly in determining the absence of muscle invasion in bladder cancer.Its efficacy in detecting muscle invasion in bladder tumors could be further enhanced with additional studies,suggesting potential for increased diagnostic efficiency through ongoing research.The VI-RADS could enhance the selection of patients eligible for accurate diagnosis and treatment. 展开更多
关键词 Bladder tumor Vesical Imaging Reporting and Data System Muscle invasion Multiparametric
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Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions 认领 引用 被引量：3
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作者 Anum Aslam Richard Kinh Gian Do +7 位作者 Avinash Kambadakone Bradley Spieler Frank H Miller Ahmed M Gabr Resmi A Charalel Charles Y Kim David C Madoff Mishal Mendiratta-Lala 《World Journal of Hepatology》 2020年第10期738-753,共16页
Hepatocellular carcinoma(HCC)is a leading cause of morbidity and mortality worldwide,with rising clinical and economic burden as incidence increases.There are a multitude of evolving treatment options,including locore... Hepatocellular carcinoma(HCC)is a leading cause of morbidity and mortality worldwide,with rising clinical and economic burden as incidence increases.There are a multitude of evolving treatment options,including locoregional therapies which can be used alone,in combination with each other,or in combination with systemic therapy.These treatment options have shown to be effective in achieving remission,controlling tumor progression,improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients.Following locoregional therapy(LRT),it is crucial to provide treatment response assessment to guide management and liver transplant candidacy.Therefore,Liver Imaging Reporting and Data Systems(LI-RADS)Treatment Response Algorithm(TRA)was created to provide a standardized assessment of HCC following LRT.LIRADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment.In this review,we provide an overview of different locoregional therapies for HCC,describe the expected post treatment imaging appearance following treatment,and review the LI-RADS TRA with guidance for its application in clinical practice.Unique to other publications,we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT. 展开更多
关键词 Hepatocellular carcinoma Liver Imaging Reporting and Data Systems Treatment Response Algorithm Locoregional therapy Liver Imaging Reporting and Data Systems Treatment Response equivocal Arterial phase hyper enhancement Stereotactic body radiotherapy
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Contrast-enhanced ultrasound Liver Imaging Reporting and Data System:Lights and shadows in hepatocellular carcinoma and cholangiocellular carcinoma diagnosis 认领 引用 被引量：15
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作者 Gianpaolo Vidili Marco Arru +13 位作者 Giuliana Solinas Diego Francesco Calvisi Pierluigi Meloni Assunta Sauchella Davide Turilli Claudio Fabio Antonio Cossu Giordano Madeddu Sergio Babudieri Maria Assunta Zocco Giovanni Iannetti Enza Di Lembo Alessandro Palmerio Delitala Roberto Manetti 《World Journal of Gastroenterology》 SCIE CAS 2022年第27期3488-3502,共15页
BACKGROUND Contrast-enhanced ultrasound(CEUS)is considered a secondary examination compared to computed tomography(CT)and magnetic resonance imaging(MRI)in the diagnosis of hepatocellular carcinoma(HCC),due to the ris... BACKGROUND Contrast-enhanced ultrasound(CEUS)is considered a secondary examination compared to computed tomography(CT)and magnetic resonance imaging(MRI)in the diagnosis of hepatocellular carcinoma(HCC),due to the risk of misdiagnosing intrahepatic cholangiocarcinoma(ICC).The introduction of CEUS Liver Imaging Reporting and Data System(CEUS LI-RADS)might overcome this limitation.Even though data from the literature seems promising,its reliability in real-life context has not been well-established yet.AIM To test the accuracy of CEUS LI-RADS for correctly diagnosing HCC and ICC in cirrhosis.METHODS CEUS LI-RADS class was retrospectively assigned to 511 nodules identified in 269 patients suffering from liver cirrhosis.The diagnostic standard for all nodules was either biopsy(102 nodules)or CT/MRI(409 nodules).Common diagnostic accuracy indexes such as sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)were assessed for the following associations:CEUS LR-5 and HCC;CEUS LR-4 and 5 merged class and HCC;CEUS LR-M and ICC;and CEUS LR-3 and malignancy.The frequency of malignant lesions in CEUS LR-3 subgroups with different CEUS patterns was also determined.Inter-rater agreement for CEUS LI-RADS class assignment and for major CEUS pattern identification was evaluated.RESULTS CEUS LR-5 predicted HCC with a 67.6%sensitivity,97.7%specificity,and 99.3%PPV(P<0.001).The merging of LR-4 and 5 offered an improved 93.9%sensitivity in HCC diagnosis with a 94.3%specificity and 98.8%PPV(P<0.001).CEUS LR-M predicted ICC with a 91.3%sensitivity,96.7%specificity,and 99.6%NPV(P<0.001).CEUS LR-3 predominantly included benign lesions(only 28.8%of malignancies).In this class,the hypo-hypo pattern showed a much higher rate of malignant lesions(73.3%)than the iso-iso pattern(2.6%).Inter-rater agreement between internal raters for CEUS-LR class assignment was almost perfect(n=511,k=0.94,P<0.001),while the agreement among raters from separate centres was substantial(n=50,k=0.67,P<0.001).Agreement was stronger for arterial phase hyperenhancement(internal k=0.86,P<2.7×10-214;external k=0.8,P<0.001)than washout(internal k=0.79,P<1.6×10-202;external k=0.71,P<0.001).CONCLUSION CEUS LI-RADS is effective but can be improved by merging LR-4 and 5 to diagnose HCC and by splitting LR-3 into two subgroups to differentiate iso-iso nodules from other patterns. 展开更多
关键词 Contrast-enhanced ultrasound Liver Imaging Reporting and Data System Hepatocellular carcinoma Intrahepatic cholangiocarcinoma Cirrhosis Contrast-enhanced ultrasound Liver
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Using the Prostate Imaging Reporting and Data System version 2 (PI-RIDS v2) to detect prostate cancer can prevent unnecessary biopsies and invasive treatment 认领 引用 被引量：16
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作者 Chang Liu Shi-Liang Liu +5 位作者 Zhi-Xian Wang Kai Yu Chun-Xiang Feng Zan Ke Liang Wang Xiao-Yong Zeng 《Asian Journal of Andrology》 SCIE CAS CSCD 2018年第5期459-464,共6页
Prostate cancer （PCa） is one of the most common cancers among men globally. The authors aimed to evaluate the ability of the Prostate Imaging Reporting and Data System version 2 （PI-RADS v2） to classify men with P... Prostate cancer （PCa） is one of the most common cancers among men globally. The authors aimed to evaluate the ability of the Prostate Imaging Reporting and Data System version 2 （PI-RADS v2） to classify men with PCa, clinically significant PCa （CSPCa）, or no PCa, especially among those with serum total prostate-specific antigen （tPSA） levels in the ＂gray zone＂ （4-10 ng ml-1）. A total of 308 patients （355 lesions） were enrolled in this study. Diagnostic efficiency was determined. Univariate and multivariate analyses, receiver operating characteristic curve analysis, and decision curve analysis were performed to determine and compare the predictors of PCa and CSPCa. The results suggested that PI-RADS v2, tPSA, and prostate-specific antigen density （PSAD） were independent predictors of PCa and CSPCa. A PI-RADS v2 score L≥4 provided high negative predictive values （91.39% for PCa and 95.69% for CSPCa）. A model of PI-RADS combined with PSA and PSAD helped to define a high-risk group （PI-RADS score = 5 and PSAD L≥0 15 ng ml-1 cm-3, with tPSA in the gray zone, or PI-RADS score L≥4 with high tPSA level） with a detection rate of 96.1% for PCa and 93.0% for CSPCa while a low-risk group with a detection rate of 6.1% for PCa and 2.2% for CSPCa. It was concluded that the PI-RADS v2 could be used as a reliable and independent predictor of PCa and CSPCa. The combination of PI-RADS v2 score with PSA and PSAD could be helpful in the prediction and diagnosis of PCa and CSPCa and, thus, may help in preventing unnecessary invasive procedures. 展开更多
关键词 diagnosis multiparametric magnetic resonance imaging prostate cancer Prostate Imaging Reporting and Data Systemversion 2 prostate-specific antigen prostate-specific antigen density
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Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview 认领 引用 被引量：4
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作者 Christina Liava Emmanouil Sinakos +9 位作者 Elissavet Papadopoulou Lamprini Giannakopoulou Stamatia Potsi Anestis Moumtzouoglou Anthi Chatziioannou Loukas Stergioulas Lydia Kalogeropoulou Ioannis Dedes Evangelos Akriviadis Danai Chourmouzi 《World Journal of Gastroenterology》 SCIE CAS 2022年第32期4540-4556,共17页
Hepatocellular carcinoma(HCC)is the sixth most common cancer.The main risk factors associated with HCC development include hepatitis B virus,hepatitis C virus,alcohol consumption,aflatoxin B1,and nonalcoholic fatty li... Hepatocellular carcinoma(HCC)is the sixth most common cancer.The main risk factors associated with HCC development include hepatitis B virus,hepatitis C virus,alcohol consumption,aflatoxin B1,and nonalcoholic fatty liver disease.However,hepatocarcinogenesis is a complex multistep process.Various factors lead to hepatocyte malignant transformation and HCC development.Diagnosis and surveillance of HCC can be made with the use of liver ultrasound(US)every 6 mo.However,the sensitivity of this imaging method to detect HCC in a cirrhotic liver is limited,due to the abnormal liver parenchyma.Computed tomography(CT)and magnetic resonance imaging(MRI)are considered to be most useful tools for at-risk patients or patients with inadequate US.Liver biopsy is still used for diagnosis and prognosis of HCC in specific nodules that cannot be definitely characterized as HCC by imaging.Recently the American College of Radiology designed the Liver Imaging Reporting and Data System(LI-RADS),which is a comprehensive system for standardized interpretation of CT and MRI liver examinations that was first proposed in 2011.In 2018,it was integrated into the American Association for the Study of Liver Diseases guidance statement for HCC.LI-RADS is designed to ensure high sensitivity,precise categorization,and high positive predictive value for the diagnosis of HCC and is applied to“highrisk populations”according to specific criteria.Most importantly LI-RADS criteria achieved international collaboration and consensus among liver experts around the world on the best practices for caring for patients with or at risk for HCC. 展开更多
关键词 Hepatocellular carcinoma Hepatocarcinogenesis Computed tomography Magnetic resonance imaging Liver Imaging Reporting and Data System
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Interobserver agreement for contrast-enhanced ultrasound of liver imaging reporting and data system:A systematic review and metaanalysis 认领 引用 被引量：4
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作者 Jun Li Ming Chen +7 位作者 Zi-Jing Wang Shu-Gang Li Meng Jiang Long Shi Chun-Li Cao Tian Sang Xin-Wu Cui Christoph F Dietrich 《World Journal of Clinical Cases》 SCIE 2020年第22期5589-5602,共14页
BACKGROUND Hepatocellular carcinoma is the most common primary liver malignancy.From the results of previous studies,Liver Imaging Reporting and Data System(LIRADS)on contrast-enhanced ultrasound(CEUS)has shown satisf... BACKGROUND Hepatocellular carcinoma is the most common primary liver malignancy.From the results of previous studies,Liver Imaging Reporting and Data System(LIRADS)on contrast-enhanced ultrasound(CEUS)has shown satisfactory diagnostic value.However,a unified conclusion on the interobserver stability of this innovative ultrasound imaging has not been determined.The present metaanalysis examined the interobserver agreement of CEUS LI-RADS to provide some reference for subsequent related research.AIM To evaluate the interobserver agreement of LI-RADS on CEUS and analyze the sources of heterogeneity between studies.METHODS Relevant papers on the subject of interobserver agreement on CEUS LI-RADS published before March 1,2020 in China and other countries were analyzed.The studies were filtered,and the diagnostic criteria were evaluated.The selected references were analyzed using the“meta”and“metafor”packages of R software version 3.6.2.RESULTS Eight studies were ultimately included in the present analysis.Meta-analysis results revealed that the summary Kappa value of included studies was 0.76[95%confidence interval,0.67-0.83],which shows substantial agreement.Higgins I2 statistics also confirmed the substantial heterogeneity(I2=91.30%,95%confidence interval,85.3%-94.9%,P<0.01).Meta-regression identified the variables,including the method of patient enrollment,method of consistency testing,and patient race,which explained the substantial study heterogeneity.CONCLUSION CEUS LI-RADS demonstrated overall substantial interobserver agreement,but heterogeneous results between studies were also obvious.Further clinical investigations should consider a modified recommendation about the experimental design. 展开更多
关键词 Contrast-enhanced ultrasound Liver imaging reporting and data system Interobserver agreement Systematic review Diagnosis Meta-analysis
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Reliability of ultrasound ovarian-adnexal reporting and data system amongst less experienced readers before and after training 认领 引用 被引量：5
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作者 Prayash Katlariwala Mitchell P Wilson +5 位作者 Yeli Pi Baljot S Chahal Roger Croutze Deelan Patel Vimal Patel Gavin Low 《World Journal of Radiology》 2022年第9期319-328,共10页
BACKGROUND The 2018 ovarian-adnexal reporting and data system(O-RADS)guidelines are aimed at providing a system for consistent reports and risk stratification for ovarian lesions found on ultrasound.It provides key ch... BACKGROUND The 2018 ovarian-adnexal reporting and data system(O-RADS)guidelines are aimed at providing a system for consistent reports and risk stratification for ovarian lesions found on ultrasound.It provides key characteristics and findings for lesions,a lexicon of descriptors to communicate findings,and risk characterization and associated follow-up recommendation guidelines.However,the ORADS guidelines have not been validated in North American institutions or amongst less experienced readers.AIM To evaluate the diagnostic accuracy and inter-reader reliability of ultrasound ORADS risk stratification amongst less experienced readers in a North American institution with and without pre-test training.METHODS A single-center retrospective study was performed using 100 ovarian/adnexal lesions of varying O-RADS scores.Of these cases,50 were allotted to a training cohort and 50 to a testing cohort via a non-randomized group selection process in order to approximately equal distribution of O-RADS categories both within and between groups.Reference standard O-RADS scores were established through consensus of three fellowship-trained body imaging radiologists.Three PGY-4 residents were independently evaluated for diagnostic accuracy and inter-reader reliability with and without pre-test O-RADS training.Sensitivity,specificity,positive predictive value,negative predictive value(NPV),and area under the curve(AUC)were used to measure accuracy.Fleiss kappa and weighted quadratic(pairwise)kappa values were used to measure inter-reader reliability.Statistical significance was P<0.05.RESULTS Mean patient age was 40±16 years with lesions ranging from 1.2 to 22.5 cm.Readers demonstrated excellent specificities(85%-100%pre-training and 91%-100%post-training)and NPVs(89%-100%pre-training and 91-100%post-training)across the O-RADS categories.Sensitivities were variable(55%-100%pre-training and 64%-100%post-training)with malignant ORADS 4 and 5 Lesions pre-training and post-training AUC values of 0.87-0.95 and 0.94-098,respectively(P<0.001).Nineteen of 22(86%)misclassified cases in pre-training were related to mischaracterization of dermoid features or wall/septation morphology.Fifteen of 17(88%)of posttraining misclassified cases were related to one of these two errors.Fleiss kappa inter-reader reliability was‘good’and pairwise inter-reader reliability was‘very good’with pre-training and post-training assessment(k=0.76 and 0.77;and k=0.77-0.87 and 0.85-0.89,respectively).CONCLUSION Less experienced readers in North America achieved excellent specificities and AUC values with very good pairwise inter-reader reliability.They may be subject to misclassification of potentially malignant lesions,and specific training around dermoid features and smooth vs irregular inner wall/septation morphology may improve sensitivity. 展开更多
关键词 Ovarian-adnexal reporting and data system Ovary Malignancy Accuracy Reliability Ultrasound
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Reliable transmission of consultative committee for space data systems file delivery protocol in deep space communication 认领 引用 被引量：7
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作者 Hui Li Hao Luo +1 位作者 Faxin Yu Zheming Lu 《Journal of Systems Engineering and Electronics》 SCIE EI 2010年第3期349-354,共6页
In consultative committee for space data systems(CCSDS)file delivery protocol(CFDP)recommendation of reliable transmission,there are no detail transmission procedure and delay calculation of prompted negative acknowle... In consultative committee for space data systems(CCSDS)file delivery protocol(CFDP)recommendation of reliable transmission,there are no detail transmission procedure and delay calculation of prompted negative acknowledge and asynchronous negative acknowledge models.CFDP is designed to provide data and storage management,story and forward,custody transfer and reliable end-to-end delivery over deep space characterized by huge latency,intermittent link,asymmetric bandwidth and big bit error rate(BER).Four reliable transmission models are analyzed and an expected file-delivery time is calculated with different trans-mission rates,numbers and sizes of packet data units,BERs and frequencies of external events,etc.By comparison of four CFDP models,the requirement of BER for typical missions in deep space is obtained and rules of choosing CFDP models under different uplink state informations are given,which provides references for protocol models selection,utilization and modification. 展开更多
关键词 deep space communication consultative committee for space data systems(CCSDS) CCSDS file delivery protocol(CFDP) reliable delay.
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Validation of Vesical Imaging Reporting and Data System score for the diagnosis of muscle-invasive bladder cancer: A prospective cross-sectional study 认领 引用 被引量：4
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作者 Kumawat Ghanshyam Vyas Nachiket +4 位作者 Sharma Govind Priyadarshi Shivam Gupta Bhagwan Sahay Singla Mohit Kumar Ashok 《Asian Journal of Urology》 CSCD 2022年第4期467-472,共6页
Objective:Vesical Imaging Reporting and Data System(VIRADS)score was developed to standardize the reporting and staging of bladder tumors on pre-operative multiparametric magnetic resonance imaging.It helps in avoidin... Objective:Vesical Imaging Reporting and Data System(VIRADS)score was developed to standardize the reporting and staging of bladder tumors on pre-operative multiparametric magnetic resonance imaging.It helps in avoiding unnecessary repeat transurethral resection of bladder tumor in high-risk non-muscle-invasive bladder cancer patients.This study was done to determine the validity of VIRADS score prospectively for the diagnosis of muscleinvasive bladder cancer.Methods:This study was conducted from March 2019 to March 2020 at Sawai Man Singh Medical College and Hospital,Jaipur,Rajasthan,India.Patients admitted with the provisional diagnosis of bladder tumor were included as participants.All these patients underwent a 3 Tesla mpMRI to obtain a VIRADS score before they underwent transurethral resection of bladder tumor and these data were analyzed to evaluate the correlation of pre-operative VIRADS score with mus-cle invasiveness of the tumor in final biopsy report.Results:A cut-off of VIRADS≥4 for prediction of detrusor muscle invasion yielded a sensitivity of 79.4%,specificity of 94.2%,positive predictive value of 90.0%,negative predictive value of 87.5%,and diagnostic accuracy of 86.4%.A cut off of VIRADS≥3 for prediction of detrusor muscle invasion yielded a sensitivity of 91.2%,specificity of 78.8%,positive predictive value of 73.8%,negative predictive value of 93.2%,and accuracy of 83.7%.The receiver operating curve showed the area under the curve to be 0.922(95%confidence interval:0.862e0.983).Conclusion:VIRADS score appears to be an excellent and effective pre-operative radiological tool for the prediction of detrusor muscle invasion in bladder cancer. 展开更多
关键词 Vesical Imaging Reporting and Data System Bladder tumor Multiparametric magnetic resonance imaging Detrusor invasion
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Contrast-enhanced ultrasound improved performance of breast imaging reporting and data system evaluation of critical breast lesions 认领 引用 被引量：19
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作者 Jun Luo Ji-Dong Chen +6 位作者 Qing Chen Lin-Xian Yue Guo Zhou Cheng Lan Yi Li Chi-Hua Wu Jing-Qiao Lu 《World Journal of Radiology》 2016年第6期610-617,共8页
AIM: To determine whether contrast-enhanced ultrasound(CEUS) can improve the precision of breast imaging reporting and data system(BI-RADS) categorization. METHODS: A total of 230 patients with 235 solid breast lesion... AIM: To determine whether contrast-enhanced ultrasound(CEUS) can improve the precision of breast imaging reporting and data system(BI-RADS) categorization. METHODS: A total of 230 patients with 235 solid breast lesions classified as BI-RADS 4 on conventional ultrasound were evaluated. CEUS was performed within one week before core needle biopsy or surgical resection and a revised BI-RADS classification was assigned based on 10 CEUS imaging characteristics. Receiver operating characteristic curve analysis was then conducted to evaluate the diagnostic performance of CEUS-based BI-RADS assignment with pathological examination as reference criteria. RESULTS: The CEUS-based BI-RADS evaluation classified 116/235(49.36%) lesions into category 3, 20(8.51%), 13(5.53%) and 12(5.11%) lesions into categories 4A, 4B and 4C, respectively, and 74(31.49%) into category 5. Selecting CEUS-based BI-RADS category 4A as an appropriate cut-off gave sensitivity and specificity values of 85.4% and 87.8%, respectively, for the diagnosisof malignant disease. The cancer-to-biopsy yield was 73.11% with CEUS-based BI-RADS 4A selected as the biopsy threshold compared with 40.85% otherwise, while the biopsy rate was only 42.13% compared with 100% otherwise. Overall, only 4.68% of invasive cancers were misdiagnosed.CONCLUSION: This pilot study suggests that evaluation of BI-RADS 4 breast lesions with CEUS results in reduced biopsy rates and increased cancer-to-biopsy yields. 展开更多
关键词 Breast imaging reporting and data system Contrast-enhanced ultrasound Biopsy False positive Biopsy
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Predictive model for contrast-enhanced ultrasound of the breast: Is it feasible in malignant risk assessment of breast imaging reporting and data system 4 lesions? 认领 引用 被引量：10
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作者 Jun Luo Ji-Dong Chen +6 位作者 Qing Chen Lin-Xian Yue Guo Zhou Cheng Lan Yi Li Chi-Hua Wu Jing-Qiao Lu 《World Journal of Radiology》 2016年第6期600-609,共10页
AIM: To build and evaluate predictive models for contrast-enhanced ultrasound(CEUS) of the breast to distinguish between benign and malignant lesions. METHODS: A total of 235 breast imaging reporting and data system(B... AIM: To build and evaluate predictive models for contrast-enhanced ultrasound(CEUS) of the breast to distinguish between benign and malignant lesions. METHODS: A total of 235 breast imaging reporting and data system(BI-RADS) 4 solid breast lesions were imaged via CEUS before core needle biopsy or surgical resection. CEUS results were analyzed on 10 enhancing patterns to evaluate diagnostic performance of three benign and three malignant CEUS models, with pathological results used as the gold standard. A logistic regression model was developed basing on the CEUS results, and then evaluated with receiver operating curve(ROC). RESULTS: Except in cases of enhanced homogeneity, the rest of the 9 enhancement appearances were statistically significant(P < 0.05). These 9 enhancement patterns were selected in the final step of the logistic regression analysis, with diagnostic sensitivity and specificity of 84.4% and 82.7%, respectively, and the area under the ROC curve of 0.911. Diagnostic sensitivity, specificity, and accuracy of the malignant vs benign CEUS models were 84.38%, 87.77%, 86.38% and 86.46%, 81.29% and 83.40%, respectively. CONCLUSION: The breast CEUS models can predict risk of malignant breast lesions more accurately, decrease false-positive biopsy, and provide accurate BIRADS classification. 展开更多
关键词 Breast Contrast-enhanced ultrasound Qualitative analysis Breast imaging reporting and data system Predictive model
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TPTVer: A Trusted Third Party Based Trusted Verifier for Multi-Layered Outsourced Big Data System in Cloud Environment 认领 引用 被引量：3
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作者 Jing Zhan Xudong Fan +2 位作者 Lei Cai Yaqi Gao Junxi Zhuang 《China Communications》 SCIE CSCD 2018年第2期122-137,共16页
Cloud computing is very useful for big data owner who doesn't want to manage IT infrastructure and big data technique details. However, it is hard for big data owner to trust multi-layer outsourced big data system... Cloud computing is very useful for big data owner who doesn't want to manage IT infrastructure and big data technique details. However, it is hard for big data owner to trust multi-layer outsourced big data system in cloud environment and to verify which outsourced service leads to the problem. Similarly, the cloud service provider cannot simply trust the data computation applications. At last,the verification data itself may also leak the sensitive information from the cloud service provider and data owner. We propose a new three-level definition of the verification, threat model, corresponding trusted policies based on different roles for outsourced big data system in cloud. We also provide two policy enforcement methods for building trusted data computation environment by measuring both the Map Reduce application and its behaviors based on trusted computing and aspect-oriented programming. To prevent sensitive information leakage from verification process,we provide a privacy-preserved verification method. Finally, we implement the TPTVer, a Trusted third Party based Trusted Verifier as a proof of concept system. Our evaluation and analysis show that TPTVer can provide trusted verification for multi-layered outsourced big data system in the cloud with low overhead. 展开更多
关键词 big data security outsourced ser-vice security MapReduce behavior trustedverification trusted third party
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Carrier Frequency Offset Estimation for FM and Symbiotic FM Radio Data System Hybrid Signal 认领 引用
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作者 Fei Wang Xi Chen +2 位作者 Aidong Men Lei Zhang Sheng Wu 《China Communications》 SCIE CSCD 2020年第1期129-139,共11页
The symbiotic FM radio data system(SRDS)is a radio data system that a specially designed OFDM signal co-lives with FM signal,which enables a significantly higher data rate than existing radio data systems.The cyclic p... The symbiotic FM radio data system(SRDS)is a radio data system that a specially designed OFDM signal co-lives with FM signal,which enables a significantly higher data rate than existing radio data systems.The cyclic prefix of the OFDM symbol has the same length as the OFDM body,which enables the analytic separation of the co-channel OFDM and FM signal at receiver side,utilizing the fact that the OFDM body and prefix is equal.In this work,we show that the OFDM body and prefix cannot be viewed as equal when there is sufficient carrier frequency offset(CFO).Thus,we propose a two-step CFO estimation algorithm for FM and SRDS hybrid signal.The first step estimates the coarse CFO by exploring the characteristics of the FM signal.Once the coarse CFO is removed,the residual CFO is small enough for FM and OFDM separation.The second step fine estimates CFO from the OFDM-only signal using its repeated PN structure after the separation.Detailed mathematical equations are formulated and simulation results are given.The results show that the proposed algorithm works fine with the simulation setup and has a final residual CFO less than 3.9Hz. 展开更多
关键词 FM OFDM Symbiotic radio data system Carrier offset estimation
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Components and Development in Big Data System: A Survey 认领 引用 被引量：3
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作者 Jing-Huan Yu Zi-Meng Zhou 《Journal of Electronic Science and Technology》 EI CAS CSCD 2019年第1期51-72,共22页
With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big D... With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big Data platforms. In this paper, we discussed the design principles and research directions of modern Big Data platforms by presenting research in modern Big Data products. We provided a detailed review and comparison of several state-ofthe-art frameworks and concluded into a typical structure with five horizontal and one vertical. According to this structure, this paper presents the components and modern optimization technologies developed for Big Data, which helps to choose the most suitable components and architecture from various Big Data technologies based on requirements. 展开更多
关键词 Big Data cloud computing data analysis optimization system architecture
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