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Expert consensus on multidisciplinary management of laparoscopic-endoscopic cooperative surgery combined with sentinel lymph node navigation surgery for early gastric cancer(2026 edition) 认领 引用 被引量：4
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作者 Zhi Zheng Yu Zhao +15 位作者 Rui Xu Zimeng Wang Jie Yin Fandong Meng Kuiliang Liu Guangyong Chen Jun Zhang Peng Li Lin Chen Zhongtao Zhang Shutian Zhang National Clinical Research Center for Digestive Diseases National Key Laboratory of Digestive Health Digestive Endoscopy Branch of Chinese Medical Association Gastroenterologist and Hepatologist Branch of Chinese Medical Doctor Association Chinese Gastric Cancer Association of China Anti-Cancer Association 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第1期1-26,共26页
With the advancement of surgical techniques and enhanced management of early gastric cancer(EGC),minimally invasive function-preserving surgical approaches have emerged as a common goal for patients and clinicians.Lap... With the advancement of surgical techniques and enhanced management of early gastric cancer(EGC),minimally invasive function-preserving surgical approaches have emerged as a common goal for patients and clinicians.Laparoscopic-endoscopic cooperative surgery combined with sentinel lymph node navigation surgery(LECSSNNS)has drawn increasing interest because of its dual benefits of minimal invasiveness and organ function preservation.However,robust evidence-based support for guiding clinical implementation remains limited.To address this gap,we systematically evaluated available studies on the clinical application of LECS-SNNS in EGC and integrated expert insights to formulate 20 recommendations.These included preoperative assessment,surgical techniques,intraoperative endoscopic procedures,pathological evaluation,postoperative care,and follow-up.This consensus aimed to provide comprehensive guidance for the standardized application of LECS-SNNS,thereby advancing precise,minimally invasive,and function-preserving treatment for EGC. 展开更多
关键词 Sentinel lymph node laparoscopic-endoscopic cooperative surgery navigation surgery early gastric cancer multidisciplinary diagnosis and treatment consensus
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Identification of the lymph node metastasis atlas and optimal lymph node dissection strategy in patients with resectable lung invasive mucinous adenocarcinoma:a real-world multicenter study 认领 引用 被引量：3
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作者 Chao Zheng Guo-Chao Zhang +19 位作者 Long Zhang Yu-Zhuo Zhang Jia Jia Shun Xu Wen-Yue Zhao Yang Liu Meng Yue Yue-Ping Liu Shuang-Ping Zhang Yi Shen Qi-Yue Ge Yu-Ning Han Jing Li Hong-Jiang Yan Li-Yan Xue Yu-Shun Gao Feng-Wei Tan Shu-Geng Gao Qi Xue Jie He 《Military Medical Research》 SCIE CAS CSCD 2026年第5期689-705,共17页
Background:Lung invasive mucinous adenocarcinoma(LIMA)is a rare,unique,and heterogeneous subtype of lung cancer whose patterns of lymph node(LN)metastasis are unknown,and a consensus on LN dissection(LND)has not been ... Background:Lung invasive mucinous adenocarcinoma(LIMA)is a rare,unique,and heterogeneous subtype of lung cancer whose patterns of lymph node(LN)metastasis are unknown,and a consensus on LN dissection(LND)has not been reached.This study aimed to evaluate LN metastasis patterns in LIMAs and establish optimal LND strategies.Methods:Data about 19,596 LNs from 1474 LIMA patients collected between January 2010 and December 2021 at 8 lung cancer research centers and tertiary hospitals across China,and data from 5304 LIMA patients between 2004 and 2021 in the SEER database were analysed.Metastasis probabilities were calculated for each LN station to construct a metastasis atlas.Statistical methods,including LOWESS fitting,restricted cubic spline,Kaplan-Meier,and logistic regression analyses,were employed to identify optimal LND strategies.Results:Compared with non-mucinous adenocarcinoma patients,LIMA patients exhibited distinct clinicopathological features and a significantly lower probability of LN metastasis(4.20%vs.7.19%,P0.5)risk patients were 7,14,and 17,respectively.For those with uncertain metastatic risk,dissecting 18 LNs may be the most appropriate and robust strategy.Conclusions:This study systematically revealed the pattern of LIMA-specific LN metastasis and proposed a risk-stratified LND strategy.These recommendations balance the imperatives of accurate staging with the preservation of long-term patient prognosis,offering a practical guideline for surgical decision-making. 展开更多
关键词 Lung invasive mucinous adenocarcinoma(LIMA) Lymph node dissection(LND) Metastasis atlas N-staging Prognosis
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Predicting lymph node metastasis in colorectal cancer using caselevel multiple instance learning 认领 引用 被引量：1
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作者 Ling-Feng Zou Xuan-Bing Wang +4 位作者 Jing-Wen Li Xin Ouyang Yi-Ying Luo Yan Luo Cheng-Long Wang 《World Journal of Gastroenterology》 SCIE CAS 2026年第1期110-125,共16页
BACKGROUND The accurate prediction of lymph node metastasis(LNM)is crucial for managing locally advanced(T3/T4)colorectal cancer(CRC).However,both traditional histopathology and standard slide-level deep learning ofte... BACKGROUND The accurate prediction of lymph node metastasis(LNM)is crucial for managing locally advanced(T3/T4)colorectal cancer(CRC).However,both traditional histopathology and standard slide-level deep learning often fail to capture the sparse and diagnostically critical features of metastatic potential.AIM To develop and validate a case-level multiple-instance learning(MIL)framework mimicking a pathologist's comprehensive review and improve T3/T4 CRC LNM prediction.METHODS The whole-slide images of 130 patients with T3/T4 CRC were retrospectively collected.A case-level MIL framework utilising the CONCH v1.5 and UNI2-h deep learning models was trained on features from all haematoxylin and eosinstained primary tumour slides for each patient.These pathological features were subsequently integrated with clinical data,and model performance was evaluated using the area under the curve(AUC).RESULTS The case-level framework demonstrated superior LNM prediction over slide-level training,with the CONCH v1.5 model achieving a mean AUC(±SD)of 0.899±0.033 vs 0.814±0.083,respectively.Integrating pathology features with clinical data further enhanced performance,yielding a top model with a mean AUC of 0.904±0.047,in sharp contrast to a clinical-only model(mean AUC 0.584±0.084).Crucially,a pathologist’s review confirmed that the model-identified high-attention regions correspond to known high-risk histopathological features.CONCLUSION A case-level MIL framework provides a superior approach for predicting LNM in advanced CRC.This method shows promise for risk stratification and therapy decisions,requiring further validation. 展开更多
关键词 Colorectal cancer Lymph node metastasis Deep learning Multiple instance learning Histopathology
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Which lymph node dissection should be performed in advanced distal gastric cancer?A critical assessment of D2 lymphadenectomy 认领 引用
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作者 Giuseppe Brisinda Maria Michela Chiarello +6 位作者 Filomena Misuriello Maria Cariati Giuseppe Tropeano Edoardo Piras Gaia Altieri Giada Bracalente Valerio Papa 《World Journal of Gastrointestinal Surgery》 SCIE 2026年第3期9-23,共15页
Lymph node invasion stands out as the most critical prognostic factor in gastric cancer.The extent of lymph node dissection required during curative gastric cancer surgery has long been debated.Japanese Gastric Cancer... Lymph node invasion stands out as the most critical prognostic factor in gastric cancer.The extent of lymph node dissection required during curative gastric cancer surgery has long been debated.Japanese Gastric Cancer Association was the first to define a classification system for regional gastric lymph node stations,numbering them from No.1 to No.16.This classification was later used to differentiate between different types of lymph node dissection,such as D1,D2 and D3.However,these definitions were often considered too complex to be universally adopted,resulting in wide variations of recommendations from one country to another and making it difficult to compare published studies.Moreover,the optimal extent of lymph node dissection remains uncertain,as the extensive dissections that where initially recommended are associated with significant morbidity without a clear survival benefit.Though gastrectomy with extended D2 lymphadenectomy is classified as a non-standard gastrectomy,its clinical significance has been evaluated in many studies.D2 plus superior mesenteric vein lymph node(No.14v)dissection is recommended when metastasis to No.6 nodes is suspected in the lower stomach,and D2 plus posterior surface of the pancreatic head(No.13)lymph node dissection may be an option in potentially curative gastrectomy for cancer invading the duodenum.No.14v lymph node dissection has been shown to improve overall survival in patients with distal gastric cancer,primarily in patients with clinical stage Ⅲ/Ⅳ distal gastric cancer.Furthermore,D2 plus lymphadenectomy showed a significantly higher 5-year overall survival rate(55.3%vs 43.9%)and a lower recurrence rate(51.5%vs 69.5%)then D2 standard dissection.The quality of lymphadenectomy may influence prognosis in gastric cancer patients.Both hospital volume and surgeon volume were important factors for the quality of radical gastrectomy.The purpose of this review is to support the extension of lymph node dissection based on the existing literature,including a comprehensive review of current definitions of lymphadenectomy.An outcome analysis is performed to assess the need for lymphadenectomy with removal of lymph nodes not included in the standard D2 lymphadenectomy in patients with distal gastric cancer,especially if the tumor is advanced. 展开更多
关键词 Gastric cancer Lymph node dissection Lymph nodes metastases Guidelines Surgery
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A node importance prediction algorithm based on graph attention and contrastive learning 认领 引用
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作者 Jun Ai Yuming Zhang +2 位作者 Zhan Su Chenye Guo Mingsong Li 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期671-684,共14页
In complex network analysis,node ranking is vital for propagation prediction,structural optimization,and intervention strategy design,yet existing methods often fail to effectively integrate community information in d... In complex network analysis,node ranking is vital for propagation prediction,structural optimization,and intervention strategy design,yet existing methods often fail to effectively integrate community information in dynamic settings.To address this,this paper proposes a node ranking method that combines graph attention mechanisms with contrastive learning.Community detection is employed to extract node-level community features,and a joint embedding module is designed to fuse global and local structures,thereby incorporating community information into node representations.Based on this,a multi-layer graph attention network adaptively learns node and neighborhood features,while contrastive learning mitigates interference from dynamic evolution and strengthens the model's ability to capture multi-scale structural differences.Experiments on multiple dynamic network datasets show that the proposed method significantly outperforms existing approaches in ranking accuracy,particularly in networks with higher average degrees and clearer community structures.These results validate the effectiveness of the method in enhancing feature representation and modeling multi-scale dynamic node influence. 展开更多
关键词 node importance community features graph attention contrastive learning
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Fault Diagnosis of Wind Turbine Blades Based on Multi-Sensor Weighted Alignment Fusion in Noisy Environments 认领 引用
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作者 Lifu He Zhongchu Huang +4 位作者 Haidong Shao Zhangbo Hu Yuting Wang Jie Mei Xiaofei Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第3期1401-1422,共22页
Deep learning-based wind turbine blade fault diagnosis has been widely applied due to its advantages in end-to-end feature extraction.However,several challenges remain.First,signal noise collected during blade operati... Deep learning-based wind turbine blade fault diagnosis has been widely applied due to its advantages in end-to-end feature extraction.However,several challenges remain.First,signal noise collected during blade operation masks fault features,severely impairing the fault diagnosis performance of deep learning models.Second,current blade fault diagnosis often relies on single-sensor data,resulting in limited monitoring dimensions and ability to comprehensively capture complex fault states.To address these issues,a multi-sensor fusion-based wind turbine blade fault diagnosis method is proposed.Specifically,a CNN-Transformer Coupled Feature Learning Architecture is constructed to enhance the ability to learn complex features under noisy conditions,while a Weight-Aligned Data Fusion Module is designed to comprehensively and effectively utilize multi-sensor fault information.Experimental results of wind turbine blade fault diagnosis under different noise interferences show that higher accuracy is achieved by the proposed method compared to models with single-source data input,enabling comprehensive and effective fault diagnosis. 展开更多
关键词 Wind turbine blade multi-sensor fusion fault diagnosis CNN-transformer coupled architecture
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Active vibration isolation based on absolute-relative dynamic stiffness control via multi-sensor information fusion 认领 引用
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作者 Zhiwei Huang Jiulin Wu +4 位作者 Fuxiang Zhang Rui Zhou Hu Li Xuedong Chen Wei Jiang 《ENGINEERING Mechanical Engineering》 SCIE CAS CSCD 2026年第2期129-152,共24页
The requirements for isolating outer vibration and suppressing inner disturbances are increasingly stringent and even approaching extreme limits in integrated circuit manufacturing,precision measurement,scientific exp... The requirements for isolating outer vibration and suppressing inner disturbances are increasingly stringent and even approaching extreme limits in integrated circuit manufacturing,precision measurement,scientific experiments,etc.In comparison with passive isolation,active control methods can significantly enhance vibration isolation performance.However,different control strategies are mainly effective in different frequency domains,and performance may deteriorate in some frequency domains due to sensor noises.Active vibration isolation based on absolute-relative dynamic stiffness control via multi-sensor information fusion is proposed in this paper.This method can substantially improve vibration attenuation capability and position stability performances in broad bandwidth,with a particular focus on improving the resonance peak suppression capability in the ultra-low frequency domain.First,the effects of different control strategies on vibration isolation in different frequency domains are analyzed,and the hybrid control strategy is proposed by using both absolute relative signal feedback.Considering the noise characteristics of absolute velocity sensors and relative displacement sensors,different filters are accordingly adopted to improve vibration isolation performance.A one-dimensional experimental platform is established to conduct vibration control experiments under different configurations.The results demonstrate that vibration isolation performance across a wide frequency range can be significantly improved,and the proposed method further proves effective for micro-vibration systems.Typically,transmissibility can be reduced to as low as -30 dB at 1 Hz and -48 dB at 2 Hz,with guarantee of less than -50 dB within 10-50 Hz.Additionally,compliance results show 10-40 dB performance improvements across the broad frequency range(0.1-100 Hz)compared with the passive system. 展开更多
关键词 active vibration control dynamic stiffness multi-sensor information fusion absolute velocity feedback relative displacement feedback
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Rethinking false-negative rate of sentinel node navigation surgery after non-curative endoscopic submucosal dissection:Insights from SENORITA 2 trial 认领 引用
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作者 Zimeng Wang Zhi Zheng +5 位作者 Jie Yin Guangyong Chen Jun Zhang Peng Li Zhongtao Zhang Shutian Zhang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第3期343-346,共4页
We read with great interest the Commentary written by Prof.Eom and Prof.Ryu entitled:“Is sentinel node navigation surgery feasible after non-curative endoscopic resection in patients with early gastric cancer?”.The ... We read with great interest the Commentary written by Prof.Eom and Prof.Ryu entitled:“Is sentinel node navigation surgery feasible after non-curative endoscopic resection in patients with early gastric cancer?”.The authors acknowledge that the“Expert consensus on multidisciplinary management of laparoscopic-endoscopic cooperative surgery combined with sentinel lymph node navigation surgery for early gastric cancer(2026 edition)”represents a meaningful advance in clinical applicability and critically appraises consensus 4,which addresses the role of sentinel node navigation surgery(SNNS)following non-curative endoscopic submucosal dissection(ESD)(1). 展开更多
关键词 sentinel lymph node navigation surgery gastric cancer non curative endoscopic submucosal dissection false negative rate sentinel node navigation surgery Senorita trial early gastric cancer
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Is sentinel node navigation surgery feasible after non-curative endoscopic resection in patients with early gastric cancer? 认领 引用
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作者 Bang Wool Eom Woo Jun Ahn +2 位作者 Hong Man Yoon Young Woo Kim Keun Won Ryu 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第3期340-342,共3页
An interesting paper reporting the Chinese expert consensus for sentinel node navigation surgery(SNNS)was recently published in Chinese Journal of Cancer Research(CJCR)(1).Along with the increasing proportion of indiv... An interesting paper reporting the Chinese expert consensus for sentinel node navigation surgery(SNNS)was recently published in Chinese Journal of Cancer Research(CJCR)(1).Along with the increasing proportion of individuals with early gastric cancer(EGC),clinical interest in minimally invasive function-preserving surgeries such as SNNS,pylorus-preserving and proximal gastrectomy has gradually increased in East Asia(2).However SNNS remains controversial in clinical practice due to the limited evidence and ongoing debate regarding standardized protocols comparing pylorus-preserving and proximal gastrectomy(3).In this context,a Chinese expert consensus for SNNS is meaningful for the advancement of clinical applicability. 展开更多
关键词 Sentinel node navigation surgery Pylorus preserving gastrectomy Proximal gastrectomy sentinel node navigation surgery snns Early gastric cancer Minimally invasive surgery Chinese expert consensus
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High-fidelity numerical simulation of ocean-bottom node 4C seismic data using the acoustic-elastic coupling equation 认领 引用
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作者 Peng-Fei Yu Yong-Tian Zhao +2 位作者 Jia-Wei Zhang Xiao-Hui Yang Chao Zhang 《Petroleum Science》 SCIE EI CAS CSCD 2026年第6期3160-3179,共20页
The complex wavefields in ocean-bottom node(OBN)four-component(4C)seismic data,particularly interface waves like Scholte waves,pose significant challenges for processing and inversion.A key issue is how to achieve hig... The complex wavefields in ocean-bottom node(OBN)four-component(4C)seismic data,particularly interface waves like Scholte waves,pose significant challenges for processing and inversion.A key issue is how to achieve high-fidelity and accurate simulation of seismic wave propagation phenomena at the ocean bottom,thereby providing a theoretical foundation for fully leveraging ocean-bottom 4C data in imaging and inversion.To address this,we employ a three-dimensional acoustic-elastic coupling equation(AECE)for high-fidelity numerical simulation of OBN 4C data.This method inherently satisfies the fluid-solid interface conditions without manual enforcement,enabling physically consistent generation of all wave types,including Scholte waves.Numerical examples and field data from the East China Sea demonstrate that the AECE effectively replicates the waveform components and characteristics of field 4C data.This establishes the AECE as a robust foundation for OBN 4C data processing,elastic imaging,and full-waveform inversion. 展开更多
关键词 Numerical simulation Acoustic-elastic coupling equation Ocean-bottom node Four-component data Scholte wave
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Robot-assisted post-chemotherapy retroperitoneal lymph node dissection for metastatic non-seminomatous germ cell tumors using two distinct surgical approaches:A tertiary care experience 认领 引用
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作者 Xiangdong Li Wilhem M.S.Teixeira +5 位作者 Renjie Ding Shengjie Guo Hui Han Kai Yao Fangjian Zhou Zhuowei Liu 《Asian Journal of Urology》 CAS CSCD 2026年第1期107-115,共9页
Objective:Robot-assisted post-chemotherapy retroperitoneal lymph node dissection(R-PC-RPLND)is increasingly used as an alternative to open surgery for metastatic testicular cancer.This study aimed to summarize the exp... Objective:Robot-assisted post-chemotherapy retroperitoneal lymph node dissection(R-PC-RPLND)is increasingly used as an alternative to open surgery for metastatic testicular cancer.This study aimed to summarize the experience with lateral and supine approaches in R-PC-RPLND for metastatic non-seminomatous germ cell tumors,applied based on different clinical indications.Methods:We conducted a retrospective analysis of 42 consecutive patients who underwent R-PC-RPLND at our tertiary cancer center from May 2016 to July 2023.Patients were categorized based on the surgical approach used:lateral position(28 patients)or supine position(14 patients).Data on perioperative outcomes,complications,and oncological efficacy were assessed and reported using descriptive statistics.Results:The median patient age was 28.0(interquartile range[IQR]:23.5-30.5)years,and the median body mass index was 22.7(IQR:19.9-24.2)kg/m2.The median operative time was 167.5(IQR:135.0-216.0)min,and the median estimated blood loss was 100.0(IQR:50.0-200.0)mL.Vascular injuries occurred in 4.8% of the cases,with no conversions to open surgery required.Postoperative complications were observed in 14% of the patients,all classified as ClavieneDindo grades IeII.Histopathological examination revealed necrosis or fibrosis in 43% of the cases,teratoma in 31%,and viable germ cell tumor in 26%.During a median follow-up of 22.0(IQR:16.0-30.5)months,17% of the patients experienced relapse,with a median time to relapse of 5.0(IQR:4.0-7.0)months.Conclusion:Both lateral and supine approaches for R-PC-RPLND demonstrated favorable surgical and oncological outcomes,with acceptable operative times,minimal blood loss,low complication rates,and effective oncological control.The choice between these approaches should consider patient-specific factors and surgeon expertise,allowing for tailored treatment that optimizes outcomes. 展开更多
关键词 Testicular cancer Robotic surgery Post-chemotherapy retroperitoneal lymph node dissection Surgical approach
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Impact of resource allocation on information-disease coupled propagation considering node importance in multiplex networks 认领 引用
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作者 Liang’an Huo Jiaxue Cha Yue Yu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期901-913,共13页
During a large-scale epidemic outbreak,effective resource allocation is vital for controlling disease transmission.Prioritizing resource provision to communities experiencing severe infections can mitigate further spr... During a large-scale epidemic outbreak,effective resource allocation is vital for controlling disease transmission.Prioritizing resource provision to communities experiencing severe infections can mitigate further spread,while prioritizing information dissemination to influential individuals can expand the publicity effect.This paper proposes a novel two-layer information-disease transmission coupled model that optimizes the allocation of information and medical resources based on node importance analysis,aiming to explore the synergistic effects of resource allocation on disease dynamics.The study employs the microscopic Markov chain approach to construct dynamic equations and derive the epidemic threshold,with Monte Carlo simulations used to validate the theoretical results.Findings demonstrate that expanding the scope of preventive information dissemination through mass media improves public awareness of disease prevention and significantly curbs epidemic transmission.Moreover,reducing the resource deployment threshold in infected communities enables more precise resource allocation during the early stages of an outbreak,which is vital for increasing the epidemic threshold and reducing the final size of the epidemic.These findings provide robust theoretical foundations and actionable guidelines for optimizing resource allocation strategies in public health emergency management. 展开更多
关键词 information dissemination disease transmission resource allocation node importance multilayer network
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Virtual histology imaging of lymph nodes via dynamic full-field optical coherence tomography and deep learning to differentiate metastasis 认领 引用
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作者 Shuwei Zhang Houpu Yang +8 位作者 Yiyin Zhang Xiaoxian Li Jin Zhao Yuanyuan Zhang Ping Xue Hua Kang Hongchuan Jiang Wenhui Ren Shu Wang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2026年第3期418-429,共12页
Objective:The current pathological diagnosis of lymph node metastasis is time-consuming,labor-intensive,and dependent on sectioning of paraffin blocks.Herein,in a prospective cohort of patients with breast cancer,we v... Objective:The current pathological diagnosis of lymph node metastasis is time-consuming,labor-intensive,and dependent on sectioning of paraffin blocks.Herein,in a prospective cohort of patients with breast cancer,we validated dynamic full-field optical coherence tomography(D-FFOCT),a virtual pathology tool integrating deep learning for nodal metastasis detection,and offering rapid and label-free histologic approximations of fresh tissues.Methods:In a prospective dual-center cohort of 155 patients with breast cancer,747 freshly bisected lymph node slides were obtained via D-FFOCT.Surgeons interpreted each slide with histopathology as the gold standard.A deep learning model was trained on 28,911 patches(corresponding to 590 slides)and tested on 7,736 patches(corresponding to 157 slides).The results were mapped to the slide level for potential intraoperative evaluation.Results:D-FFOCT strongly correlated with hematoxylin and eosin(H&E)-stained histological images.Surgeons achieved 97.10%specificity in nodal diagnosis with D-FFOCT.The performance of the artificial intelligence(AI)model was not inferior to that of human experts and had a sensitivity/specificity of 87.88%/91.94%and an area under the receiver operating characteristic curve of 0.899 at the slide level.The human–AI collaborative system reduced labor requirements by 75%and increased the specificity by 6.5%,to 98.39%.Conclusions:D-FFOCT has excellent potential as a tool for assessing lymph node metastatic status without tissue preparation or consumption.The integration of D-FFOCT with deep learning decreases labor demands and maintains high accuracy,thereby enabling streamlined nodal prediction independent of routine pathology procedures. 展开更多
关键词 Breast cancer dynamic full field optical coherence tomography lymph nodes AI model metastatic status
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Lymph node regression grade as a prognostic marker in rectal cancer after neoadjuvant therapy and radical resection 认领 引用
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作者 Yun-Jie Shi Pan-Pan Duan +5 位作者 Qian-Qian Liu Hong-Yan Ru Ya-Jun Huang Wen Xia Ling Chen Xu Li 《World Journal of Gastroenterology》 SCIE CAS 2026年第15期61-72,共12页
BACKGROUND Neoadjuvant chemoradiotherapy(nCRT)followed by radical resection is the standard for locally advanced rectal cancer(LARC).The tumor regression grade(TRG)of the primary tumor is a known prognostic marker,but... BACKGROUND Neoadjuvant chemoradiotherapy(nCRT)followed by radical resection is the standard for locally advanced rectal cancer(LARC).The tumor regression grade(TRG)of the primary tumor is a known prognostic marker,but its value may be limited by lymph node(LN)status.Assessment of treatment response in LNs is not standardized.AIM To determine the prognostic significance of both primary TRG and a novel LN regression grade(LRG)in patients with LARC after nCRT and surgery.METHODS The study cohort included patients with LARC who received nCRT and subsequent radical resection from January 2022 to March 2025.The impacts of TRG and LRG scores were assessed.RESULTS During the study period,155 patients underwent long-course nCRT followed by radical rectal resection.Overall,51(32.9%)patients developed recurrence,and 34(21.9%)patients died over the follow-up period.The 5-year overall survival(OS)was 66.1%,and the 5-year disease-free survival(DFS)was 59.5%.With all patients taken into consideration,TRG had no significant correlation with OS(P=0.11)and DFS(P=0.18).Conversely,TRG was significantly associated with DFS(P=0.01)in the 92 patients with ypN0.After excluding patients without LN metastasis,LRG was significantly associated with OS(P=0.001)and DFS(P=0.04).Furthermore,LRG was an independent predictor for mortality(hazard ratio=1.533,P=0.0002)and recurrence(hazard ratio=1.278,P=0.01).CONCLUSION Among patients with advanced rectal cancer after nCRT,TRG emerged as a predictive factor solely limited to patients with ypN0.In patients with LN metastasis,LRG could have independent prognostic significance. 展开更多
关键词 Rectal cancer Lymph node regression grade Tumor regression grade Neoadjuvant chemoradiotherapy Prognostic marker
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Performance Evaluation of Malicious Node Detection and Mitigation of IoT-Based Trust Model for Wireless Sensor Network 认领 引用
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作者 Anil Kumar Abhay Bhatia +3 位作者 Amit Singh Preeti Rani Vincent Omollo Nyangaresi Mahendihasan S.Heera 《Computers, Materials & Continua》 SCIE EI 2026年第7期1921-1947,共27页
The Internet of Things(IoT)enables seamless real-time monitoring and data exchange across distributed and heterogeneous environments with wireless sensor networks(WSNs).The open architecture and resource constraints o... The Internet of Things(IoT)enables seamless real-time monitoring and data exchange across distributed and heterogeneous environments with wireless sensor networks(WSNs).The open architecture and resource constraints of wireless sensor networks(WSNs)make them highly vulnerable to internal security threats caused by malicious or compromised nodes,particularly in Internet of Things(IoT)environments.To address this issue,we proposed Dynamic Trust Evaluation Model(DTEM),designed to provide a secure,scalable,and efficient framework for IoT-based WSNs.The proposed model identifies the role of trust management in routing,data aggregation,and intrusion detection,including trust-based protocols.DTEM incorporates a lightweight elliptic curve cryptography(ECC)mechanism to ensure secure communication,protect trust information from manipulation,and enhance overall system reliability.In addition,machine learning techniques are employed to improve malicious node classification accuracy.Component-wise analysis demonstrates that the dynamic trust evaluation forms the core detection mechanism,while ECC enhances communication security and machine learning improves malicious node classification accuracy.A large-scale network simulation is conducted to evaluate DTEM’s performance under various attack scenarios.Results demonstrate improved malicious node detection accuracy,higher packet delivery ratios,reduced energy consumption,and lower communication overheads.The proposed DTEM framework proves to be a robust and scalable solution for securing IoT-based wireless sensor networks,making it suitable for real-world applications. 展开更多
关键词 Internet of Things node detection security threats security and protocols wireless sensor network
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Distance-based critical node detection and its application to network vulnerability assessment 认领 引用
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作者 Yangming ZHOU Di ZHAO +1 位作者 Gezi WANG Mengchu ZHOU 《ENGINEERING Management》 CSCD 2026年第2期490-514,共25页
A popular strategy for network vulnerability assessment is to identify critical nodes,whose deletion maximally degrades the connectivity of the original network.Decision makers usually have information about the netwo... A popular strategy for network vulnerability assessment is to identify critical nodes,whose deletion maximally degrades the connectivity of the original network.Decision makers usually have information about the network structure they intend to obtain,but do not know the number of nodes to target.In this context,we study a distance-based critical node problem with unknown budget,known as theβ-distance-based vertex disruptor problem.To solve it,we first derive three integer linear programming formulations,i.e.,recursive,triangular connectivity-based,and reduced path-based ones.They are then solved using the CPLEX solver.To approximately solve large instances that an exact solver fails to solve,we propose a simple and effective integrated strategic oscillation search that combines hill climbing and strategic oscillation.It examines a large neighborhood by alternating between a tabu-enhanced destruction procedure and a random order-based improving construction procedure.Extensive experiments on both real-world and synthetic benchmark instances demonstrate the advantages of the proposed formulations and heuristic.In particular,the reduced path-based formulation outperforms both recursive and triangular connectivity-based ones.The proposed heuristic is significantly faster than exact and state-of-theart algorithms.Finally,we perform a case study on air transportation networks to gain insights into the impacts of COVID-19. 展开更多
关键词 network vulnerability assessment critical node detection integer programming hill climbing strategic oscillation
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Deep learning for predicting lymph node metastasis in T1b gastric cancer using histopathology:a retrospective,multicenter study 认领 引用
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作者 Linbin Lu Jun Yu +18 位作者 Yan Zhang Ning Han Xinlin Wang Sitian Dai Ruirong Yao Abudurousuli Reyila Shibo Wang Junya Yan Yan Pan Yuanyuan Lu Mengbin Li Jipeng Li Qingchuan Zhao Kaichun Wu Qingzhi Lan Weiguo Dong Xiong Chen Xianchun Gao Yongzhan Nie 《Medicine Plus》 CAS 2026年第2期34-45,共12页
Background:T1b gastric cancer(T1b-GC)carries a high risk of lymph node metastasis(LNM),which is a key determinant of treatment choice and prognosis.However,assessing LNM risk in T1b-GC remains challenging.This study a... Background:T1b gastric cancer(T1b-GC)carries a high risk of lymph node metastasis(LNM),which is a key determinant of treatment choice and prognosis.However,assessing LNM risk in T1b-GC remains challenging.This study aimed to develop machine learning models that integrate clinical data and postoperative hematoxylin and eosin-stained whole-slide images(HE-WSIs)to predict LNM in T1b-GC.Methods:This retrospective,multicenter cohort study analyzed 1023 patients with T1b-GC who underwent radical gastrectomy with lymphadenectomy.Thirteen machine learning algorithms were evaluated to develop a baseline predictive model using clinical variables.A deep learning system(DL-T1b)was trained and validated to predict LNM from histopathological tumor sections.A nomogram combining the baseline model and DL-T1b score was developed and evaluated.Results:Linear discriminant analysis was the optimal baseline model,achieving an area under the curve(AUC)of 0.771(95%CI:0.747,0.813)based on six factors:sex,tumor size,differentiation grade,Laurén classification,tumor location,and lymphovascular invasion.The DL-T1b model demonstrated superior performance(AUC:0.910;95%CI:0.869,0.945).Incorporating the DL-T1b score with baseline clinical features into a nomogram enhanced its discriminatory performance(AUC:0.964;95%CI:0.949,0.978),achieving 93.2%sensitivity and 85.1%specificity.Spatial heatmaps of HE-WSIs revealed that the proportion of patches with a 100%predicted probability correlated positively with LNM risk.Conclusion:Derived from HE-WSI tumor regions,the DL-T1b score provides a robust and interpretable tool for individualized LNM risk stratification to guide clinical treatment. 展开更多
关键词 Gastric cancer Lymph node metastasis Machine learning Whole slide images Vision transformer
基于改进Node2Vec图神经网络的轴承故障诊断 认领 引用
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作者 谢七月 蒋朝洋 +3 位作者 宋蕾 周育才 付强 王晓丽 《噪声与振动控制》 CSCD 北大核心 2026年第3期90-96,169,共7页
针对传统滚动轴承故障诊断方法复杂、准确率不高且抗噪能力不足的问题,提出一种基于改进图嵌入的图神经网络轴承故障诊断方法。该方法通过对Node2Vec算法进行改进,在对节点邻居点进行随机游走时,加入基于邻居点在图中的权重信息的游走策... 针对传统滚动轴承故障诊断方法复杂、准确率不高且抗噪能力不足的问题,提出一种基于改进图嵌入的图神经网络轴承故障诊断方法。该方法通过对Node2Vec算法进行改进,在对节点邻居点进行随机游走时,加入基于邻居点在图中的权重信息的游走策略,使得模型能够更有针对性捕捉节点关系信息,有效避免传统的图嵌入没有充分考虑边缘交互信息的问题。同时引入对偶图的概念,通过对偶图的构建和数据嵌入,进一步挖掘数据中的信息。实验结果表明,所提出的方法对于凯斯西储大学轴承数据集在无噪声,以及噪声为-5、-10 dB的环境条件下均有较高的诊断准确率;并基于PT500 mini轴承故障试验台进行验证,实验准确率为97.5%,展现了该方法在不同工况下和不同工业环境中的实际应用潜力。 展开更多
关键词 故障诊断 滚动轴承故障 Node2Vec算法 对偶图 图神经网络
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Computed tomography with carcinoembryonic antigen and carbohydrate antigen 19-9 in diagnosing lymph node metastasis of early gastric cancer 认领 引用
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作者 Hong-Zhi Chen Ping Zhang Jun Ma 《World Journal of Gastrointestinal Oncology》 SCIE 2026年第2期112-121,共10页
BACKGROUND Gastric cancer(GC)is the fifth most prevalent and fourth most lethal malignancy globally.China bears a disproportionately high burden,accounting for 44.0%of new cases and 48.6%of deaths worldwide.In early G... BACKGROUND Gastric cancer(GC)is the fifth most prevalent and fourth most lethal malignancy globally.China bears a disproportionately high burden,accounting for 44.0%of new cases and 48.6%of deaths worldwide.In early GC(EGC),the presence of lymph node metastasis(LNM)is a critical prognostic determinant that directly guides therapeutic strategy.While multi-detector computed tomography(CT)and serum biomarkers carcinoembryonic antigen(CEA)/carbohydrate antigen 19-9(CA19-9)are established diagnostic tools,each demonstrates limited efficacy when used independently.This study therefore aims to verify whether a combined diagnostic approach integrating multi-detector CT(MDCT)with serum CEA/CA19-9 can significantly improve the accuracy of LNM detection in EGC patients.AIM To investigate the diagnostic value of CT combined with CEA or CA19-9 for detecting LNM in EGC.METHODS This retrospective study included 120 patients with EGC confirmed by gastroscopic biopsy at our institution(Huai’an Hospital of Huai’an City)between February 2024 and August 2024.Based on postoperative pathological findings,participants were categorized into a LNM group(n=60)and a non-metastasis group(n=60).All patients underwent MDCT scanning and serum CEA and CA19-9 level measurements.The diagnostic efficacy of CT,CEA,and CA19-9 alone and in combination was evaluated using receiver operating characteristic(ROC)curve and Kappa consistency analysis.RESULTS Serum analysis showed significantly elevated CEA and CA19-9 levels and higher positivity rates in the metastasis group(P<0.0001).ROC analysis yielded area under the curves of 0.9443(CEA)and 0.9292(CA19-9),with Kappa values of 0.683 and 0.650,respectively.CT revealed significantly greater short-axis diameter,CT attenuation,blood volume,and permeability in metastatic nodes(P<0.05),whereas blood flow and mean transit time showed no significant differences.CT alone demonstrated 85.00%sensitivity and 95.00%specificity(Kappa=0.800).Combined diagnosis improved sensitivity to 91.67%(CT+CEA)and 90.00%(CT+CA19-9),with specificities of 90.00%and 88.33%,respectively.CONCLUSION The combination of CT with CEA or CA19-9 improves sensitivity for detecting LNM in EGC,supporting personalized treatment planning and demonstrating clinical value. 展开更多
关键词 Computed tomography Carcinoembryonic antigen Carbohydrate antigen 19-9 Gastric cancer Lymph node metastasis
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Pulmonary sclerosing pneumocytoma with lymph node metastasis and high 18FDG uptake in PET/CT:a rare case report and literature review 认领 引用
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作者 Jingfeng XU Yilei ZHAO +1 位作者 Qiuli WU Feng CHEN 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第2期202-206,共5页
Pulmonary sclerosing pneumocytoma(PSP)was first reported by Liebow and Hubbell(1956).It was initially called pulmonary sclerosing hemangioma(PSH)because it was thought to be derived from endothelial cells with rich va... Pulmonary sclerosing pneumocytoma(PSP)was first reported by Liebow and Hubbell(1956).It was initially called pulmonary sclerosing hemangioma(PSH)because it was thought to be derived from endothelial cells with rich vascularity.However,the 2015 World Health Organization Classification of Lung Tumors removed the term"sclerosing hemangioma,1 since these tumors lack vascular origin(Travis et al.2015),and the renamed tumor was considered a rare and benign lung tumor.However,several reports have described PSP with lymph node metastasis(Soo et al.,2017).Thus,PSP is not always benign and has the potential to metastasize. 展开更多
关键词 literature review endothelial cells pulmonary sclerosing pneumocytoma psp lymph node metastasis pulmonary sclerosing pneumocytoma pulmonary sclerosing hemangioma psh F DG uptake PET CT
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