Gastric cancer is a high-incidence malignancy that poses a serious threat to public health in China, ranking among the top three cancers in both incidence and mortality. The majority of patients are diagnosed at an advanced stage, resulting in limited treatment options and poor prognosis. To address key challenges in gastric cancer diagnosis and treatment, a research team led by Professor Jiafu Ji at Peking University Cancer Hospital has focused on the project "Development and Dissemination of Precision Medicine Approaches in Gastric Cancer Management". Through a series of high-quality multicenter clinical studies, the team established a set of new international standards in perioperative treatment, individua-lized drug selection, intelligent noninvasive diagnostics, and novel immunotherapy strategies. These advances have significantly improved treatment efficacy and reduced surgical trauma, achieving key technological breakthroughs in diagnosis, therapy, and mechanistic understanding, and systematically enhancing outcomes for gastric cancer patients. The project ' s findings had a broad international impact, including hosting China ' s first International Gastric Cancer Congress. Through nationwide dissemination, they have promoted the development of precision diagnosis and treatment of gastric cancer as a discipline, and led the formulation of the National Health Commission's guidelines for gastric cancer diagnosis and treatment. In recognition of its achievements, the project was awarded the First Prize of the 2024 Chinese Medical Science and Technology Award.
Stomach Neoplasms/genetics* ; Humans ; Precision Medicine/methods* ; China ; Immunotherapy/methods*

The establishment of a high-quality gastric cancer database significantly improves the efficiency and standardization of diagnosis and treatment of this disease. Our center has developed a specialized, single-center gastric cancer database and initiated the China Gastrointestinal Cancer Surgery Union, catalyzing the exploration of multi-center databases. This article encapsulates multi-level experience and provides a detailed overview of the quality control methods we implement in both constructing and managing the gastric cancer database. Utilizing an electronic medical record system and a multi-disciplinary treatment (MDT) approach, we have designed the database in a modular and multi-nodal manner. A synthesis of automatic retrieval of structured data and manual entry, coupled with a rigorous MDT system and real-time supervision at various nodes, bolster our real-time quality control efforts. Ensuring data security and digitized management plans alongside real-time review protocol and a multi-level review system, we maintain the highest standards in the initiation and management of the database. Through the establishment of the China Gastrointestinal Cancer Surgery Union platform, we endorse the concept that multi-center database construction should be driven by research objectives, consider data accessibility, while placing an emphasis on building inter-center consensus on data quality control. Moving forward, it is crucial that the development of multi-center databases promotes uniformity in medical standards across centers, cultivates stable public data sharing platforms, ensures robust data security protocols, routinely conducts data quality assessments, and bolsters multi-center cooperation and exchanges to promote the homogeneity of medical standards.

Objective:To investigate the diagnostic performance of a new artificial intelligence (AI) model incorporating SAM-YOLOV 5 deep learning network and image processing techniques for Breast Imaging Reporting and Data System (BI-RADS) 4 category breast masses in dynamic ultrasound classification.Methods:A total of 530 pathologically proven breast lesions of BI-RADS category 4 in 458 patients were retrospectively collected from May 2019 to June 2023 at the First Affiliated Hospital of Shantou University Medical College. The model was trained and tested at ratio of 7∶3, the area under the ROC curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value of the model were determined. Firstly, the test results of the model were compared with a single static image, then, compared with the three conventional deep learning networks as well as senior and junior radiologists. The diagnostic efficiency of the new model in BI-RADS categories 4a, 4b, and 4c masses were analyzed.Results:The AUC, sensitivity, specificity, positive predictive value and negative predictive value of the new model based on dynamic ultrasound video were higher than those using a single ultrasound static imaging (all P<0.05). Based on dynamic ultrasound video, the AUC, sensitivity, specificity, positive predictive value and negative predictive value of the new model were significantly higher than those of YOLOV 5, VGG 16, Resnet 50 and the junior group (all P<0.05), lower than the senior group (just specificity and negative predictive value, P<0.05). The diagnostic efficiency of new model for BI-RADS category 4b masses was the lowest. Conclusions:Based on the SAM-YOLOV 5 deep learning network and image processing techniques, the new model has a high diagnostic value for breast mass dynamic ultrasound classification and is expected to be used in assisting clinical diagnosis.

The establishment of a high-quality gastric cancer database significantly improves the efficiency and standardization of diagnosis and treatment of this disease. Our center has developed a specialized, single-center gastric cancer database and initiated the China Gastrointestinal Cancer Surgery Union, catalyzing the exploration of multi-center databases. This article encapsulates multi-level experience and provides a detailed overview of the quality control methods we implement in both constructing and managing the gastric cancer database. Utilizing an electronic medical record system and a multi-disciplinary treatment (MDT) approach, we have designed the database in a modular and multi-nodal manner. A synthesis of automatic retrieval of structured data and manual entry, coupled with a rigorous MDT system and real-time supervision at various nodes, bolster our real-time quality control efforts. Ensuring data security and digitized management plans alongside real-time review protocol and a multi-level review system, we maintain the highest standards in the initiation and management of the database. Through the establishment of the China Gastrointestinal Cancer Surgery Union platform, we endorse the concept that multi-center database construction should be driven by research objectives, consider data accessibility, while placing an emphasis on building inter-center consensus on data quality control. Moving forward, it is crucial that the development of multi-center databases promotes uniformity in medical standards across centers, cultivates stable public data sharing platforms, ensures robust data security protocols, routinely conducts data quality assessments, and bolsters multi-center cooperation and exchanges to promote the homogeneity of medical standards.

Objective To analyze the effect of arthroscopic acromioplasty on subacromial impingement syndrome.Methods 100 SIS patients admitted to our joint surgery department from August 2018 to August 2022 were selected as the observation group,all of whom underwent shoulder arthroscopic acromioplasty.Additionally,100 patients who underwent conservative treatment during the same period were selected as the control group.Compare the University of California Shoulder Score(UCLA),American Association of Shoulder and Elbow Surgeons Score(ASES),Fudan University Shoulder Function Score(FUSS),incidence of complications,and short-term efficacy between the control and observation groups at different times before and after surgery in the observation group.Results All patients will undergo a follow-up period of 12 months.The incidence of postoperative complications in the observation group was relatively low;The short-term efficacy of the observation group was significantly higher than that of the control group(P＜0.05);At 1 month,6 months,and 12 months after surgery,the UCLA,ASES,and FUSS scores of the observation group patients were significantly higher than the preoperative scores of the above indicators(P＜0.05).Conclusion Arthroscopic acromioplasty in the treatment of subacromial impingement syndrome has a good short-term effect.

Objective:To investigate the treatment methods for patients with gastric cancer liver metastasis and prognostic factors.Methods:The retrospective cohort study was conducted. The clinicopathological data of 282 patients with gastric cancer liver metastasis who were admitted to Peking University Cancer Hospital from January 1st,2010 to January 1st,2020 were collected. There were 237 males and 45 females, aged (66±10)years. Of the 282 patients, there were 94 cases with liver oligometastasis and 188 cases with liver multiple metastases. Patients underwent surgical treatment, systemic treatment or local treatment based on the individual condition. Observation indicators: (1) treatment methods for patients with gastric cancer liver metastasis; (2) follow-up and prognosis of patients with gastric cancer liver metastasis; (3) prognostic factors analysis in patients with gastric cancer liver metastasis. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the nonparameter rank sum test. The univariate analysis was conducted using the log-rank test. The multivariate analysis was conducted using the Cox proportional hazards regression model, and relevant variables were screened through stepwise regression forward method. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the log-rank test was used for survival analysis.Results:(1) Treat-ment methods for patients with gastric cancer liver metastasis. There were significant differences in surgical treatment methods, hepatic artery infusion chemotherapy, and radiofrequency ablation between the 94 patients with gastric cancer liver oligometastasis and the 188 patients with gastric cancer liver multiple metastases ( χ2=21.97, 6.04, 8.78, P<0.05). (2) Follow-up and prognosis of patients with gastric cancer liver metastasis. All 282 patients with gastric cancer liver metastasis were followed up for 781(range, 3-4 100)days, and the 1-, 3-, 5-year overall survival rates were 61.0%, 19.5%, 11.0%, respectively. The overall survival time and 1-, 3-, 5-year overall survival rates were 659(range, 549-769)days and 69.1%, 30.9%, 18.1% in patients with gastric cancer liver oligometastasis, versus 519(range, 451-587)days and 56.9%, 13.8%, 7.4% in patients with gastric cancer liver multiple metastases, showing a significant difference in survival situations between them ( χ2=8.45, P<0.05).(3) Prognostic factors analysis in patients with gastric cancer liver metastasis. Results of multi-variate analysis showed that Eastern Cooperative Oncology Group (ECOG) score, surgical treatment methods, chemotherapy, targeted therapy, radiofrequency ablation were all independent factors affecting prognosis of patients with gastric cancer liver metastasis ( odds ratio=3.68, 0.82, 0.58, 0.64, 0.52, 95% confidence interval as 1.85-7.33, 0.67-1.00, 0.40-0.86, 0.44-0.92, 0.30-0.90, P<0.05). Conclusions:The treatment methods for patients with gastric cancer liver oligometastasis and multiple liver metastases are different, with the former mostly using surgical treatment and the latter mostly using non-surgical treatment. Patients with gastric cancer liver oligometastasis have better prognosis than patients with multiple liver metastases. ECOG score, surgical treatment methods, chemo-therapy, targeted therapy, radiofrequency ablation are independent factors affecting prognosis of patients with gastric cancer liver metastasis.

Objective To analyze the effect of arthroscopic acromioplasty on subacromial impingement syndrome.Methods 100 SIS patients admitted to our joint surgery department from August 2018 to August 2022 were selected as the observation group,all of whom underwent shoulder arthroscopic acromioplasty.Additionally,100 patients who underwent conservative treatment during the same period were selected as the control group.Compare the University of California Shoulder Score(UCLA),American Association of Shoulder and Elbow Surgeons Score(ASES),Fudan University Shoulder Function Score(FUSS),incidence of complications,and short-term efficacy between the control and observation groups at different times before and after surgery in the observation group.Results All patients will undergo a follow-up period of 12 months.The incidence of postoperative complications in the observation group was relatively low;The short-term efficacy of the observation group was significantly higher than that of the control group(P＜0.05);At 1 month,6 months,and 12 months after surgery,the UCLA,ASES,and FUSS scores of the observation group patients were significantly higher than the preoperative scores of the above indicators(P＜0.05).Conclusion Arthroscopic acromioplasty in the treatment of subacromial impingement syndrome has a good short-term effect.

Objective:To investigate the treatment methods for patients with gastric cancer liver metastasis and prognostic factors.Methods:The retrospective cohort study was conducted. The clinicopathological data of 282 patients with gastric cancer liver metastasis who were admitted to Peking University Cancer Hospital from January 1st,2010 to January 1st,2020 were collected. There were 237 males and 45 females, aged (66±10)years. Of the 282 patients, there were 94 cases with liver oligometastasis and 188 cases with liver multiple metastases. Patients underwent surgical treatment, systemic treatment or local treatment based on the individual condition. Observation indicators: (1) treatment methods for patients with gastric cancer liver metastasis; (2) follow-up and prognosis of patients with gastric cancer liver metastasis; (3) prognostic factors analysis in patients with gastric cancer liver metastasis. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the nonparameter rank sum test. The univariate analysis was conducted using the log-rank test. The multivariate analysis was conducted using the Cox proportional hazards regression model, and relevant variables were screened through stepwise regression forward method. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the log-rank test was used for survival analysis.Results:(1) Treat-ment methods for patients with gastric cancer liver metastasis. There were significant differences in surgical treatment methods, hepatic artery infusion chemotherapy, and radiofrequency ablation between the 94 patients with gastric cancer liver oligometastasis and the 188 patients with gastric cancer liver multiple metastases ( χ2=21.97, 6.04, 8.78, P<0.05). (2) Follow-up and prognosis of patients with gastric cancer liver metastasis. All 282 patients with gastric cancer liver metastasis were followed up for 781(range, 3-4 100)days, and the 1-, 3-, 5-year overall survival rates were 61.0%, 19.5%, 11.0%, respectively. The overall survival time and 1-, 3-, 5-year overall survival rates were 659(range, 549-769)days and 69.1%, 30.9%, 18.1% in patients with gastric cancer liver oligometastasis, versus 519(range, 451-587)days and 56.9%, 13.8%, 7.4% in patients with gastric cancer liver multiple metastases, showing a significant difference in survival situations between them ( χ2=8.45, P<0.05).(3) Prognostic factors analysis in patients with gastric cancer liver metastasis. Results of multi-variate analysis showed that Eastern Cooperative Oncology Group (ECOG) score, surgical treatment methods, chemotherapy, targeted therapy, radiofrequency ablation were all independent factors affecting prognosis of patients with gastric cancer liver metastasis ( odds ratio=3.68, 0.82, 0.58, 0.64, 0.52, 95% confidence interval as 1.85-7.33, 0.67-1.00, 0.40-0.86, 0.44-0.92, 0.30-0.90, P<0.05). Conclusions:The treatment methods for patients with gastric cancer liver oligometastasis and multiple liver metastases are different, with the former mostly using surgical treatment and the latter mostly using non-surgical treatment. Patients with gastric cancer liver oligometastasis have better prognosis than patients with multiple liver metastases. ECOG score, surgical treatment methods, chemo-therapy, targeted therapy, radiofrequency ablation are independent factors affecting prognosis of patients with gastric cancer liver metastasis.

Objective:To establish standard spatial brain template and ROIs template of 11C-methyl- N-2β-carbomethoxy-3β-(4-fluorophenyl)tropane (CFT) PET images for automated quantitative analysis of dopamine transporter (DAT) distribution. Methods:From May 2014 to December 2015, 11C-CFT PET and MRI T 1 brain images of 16 healthy volunteers (3 males, 13 females; age (63.3±6.9) years) from Huashan Hospital, Fudan University were co-registered and smoothed using statistical parametric mapping(SPM)5 software based on MATLAB to create a standard spatial brain template. The ROIs template was established by ScAnVp procedures. These templates were clinically verified by using 11C-CFT PET images of 37 healthy volunteers (23 males, 14 females; age (61.7±7.1) years), 32 Parkinson′s disease (PD) patients (20 males, 12 females; age (61.1±5.4) years), 10 multiple system atrophy with predominant parkinsonism (MSA-P) patients (7 males, 3 females; age (60.8±7.1) years) and 10 progressive supranuclear palsy (PSP) patients (5 males, 5 females; age (58.4±6.1) years) from Huashan Hospital, Fudan University between January 2014 and March 2019. One-way analysis of variance was used to analyze data. Results:Based on the 11C-CFT PET images and MRI T 1 images of healthy volunteers, a standard spatial brain template for normalization of 11C-CFT PET images was created. The ROIs template was established including seven regions: bilateral caudate, anterior putamen, posterior putamen (along the long axis) and the occipital cortex. The ROIs template was accurately aligned in each verification group. The normal reference values of semi-quantitative DAT distribution in caudate, anterior putamen and posterior putamen were obtained (1.84±0.13, 2.18±0.16, 1.77±0.11). The semi-quantitative values of 11C-CFT uptake in each ROI in patients were significantly lower than those in healthy volunteers ( F values: 49.79-283.83, all P<0.05). Conclusion:The established brain templates with accurate spatial alignment for 11C-CFT image analysis can provide foundational tools for the application of 11C-CFT PET imaging in clinical practice and scientific research.

Gastrointestinal tumors(GT)are characterized by both high malignancy and high mortality and have become the major diseases for prevention in the elderly.GT often present detectable changes, including bleeding and abnormal mucosal morphology.However, many technical difficulties remain in accurately monitoring the tumor itself and related abnormal lesions mentioned above, which are the key factors affecting the early detection rate of gastrointestinal tumors.In recent years, with progresses in artificial intelligence(AI)applications for digestive endoscopy image analysis, biosensors, new biomarkers and other areas, AI holds promise for the detection of bleeding, morphological and structural abnormalities of the mucosa, tumors and other major disorders.Here we review the progress of AI applications in geriatric digestive diseases affecting digestive organs and the mucosa in light of morphology and function, to provide a reference for reducing the incidence of both geriatric emergencies and GT.