Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Community general practitioners are the main force of primary health care, however, the lack of effective incentive mechanisms would affect their work enthusiasm. Therefore, to enhance incentive mechanisms,particularly from the perspective of the career development,will improve the work enthusiasm and post competeny of general practitioners in primary health care services. This article summarizes five major influencing factors of the incentives for community general practitioners, namely salary and benefits, performance evaluation, promotion and development, working conditions and interpersonal relationships, and proposes the operational strategies of incentive improvement, to provide reference for improving working conditions and strengthening incentive measures for community general practioners in primary community hospitals.

Community general practitioners are the main force of primary health care, however, the lack of effective incentive mechanisms would affect their work enthusiasm. Therefore, to enhance incentive mechanisms,particularly from the perspective of the career development,will improve the work enthusiasm and post competeny of general practitioners in primary health care services. This article summarizes five major influencing factors of the incentives for community general practitioners, namely salary and benefits, performance evaluation, promotion and development, working conditions and interpersonal relationships, and proposes the operational strategies of incentive improvement, to provide reference for improving working conditions and strengthening incentive measures for community general practioners in primary community hospitals.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To investigate the clinical efficacy and prognostic influencing factors of open abdomen technique for acute pancreatitis with abdominal compartment syndrome (ACS).Methods:The retrospective cohort study was conducted. The clinical data of 186 patients of acute pancreatitis with ACS who were admitted to 6 hospitals, including 65 cases in the 910th Hospital of Joint Logistics Support Force of Chinese People′s Liberation Army, 46 cases in the First Affiliated Hospital of Wenzhou Medical University, 33 cases in the Fujian Provincial Hospital, 31 cases in the Second Affiliated Hospital of Fujian Medical University, 7 cases in the People′s Hospital Affiliated to Quanzhou Medical College, 4 cases in the Shishi General Hospital, from January 2013 to December 2020 were collected. There were 142 males and 44 females, aged (43±8)years. Observation indica-tors: (1) patients conditions after being treatment with open abdomen technique; (2) analysis of clinical characteristics in patients with different treatment outcomes; (3) changing trend of the volume of urine output, levels of lactic acid, levels of enteral nutrient intake and the sequential organ failure score in patients with different treatment outcomes; (4) influencing factors for prognosis of patients. Measurement data with normal distribution were represented as Mean± SD, and compari-son between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test or the continuity correction chi-square test. Repeated measurement data were analyzed using the repeated ANOVA. Spearman correlation analysis was used for correlation analyses. The COX regression model was used for univariate analysis and COX regression model with forward regression was used for multivariate analysis. Results:(1) Patients conditions after being treatment with open abdomen technique. Intra-abdominal pressure, oxygena-tion index, levels of lactic acid and sequential organ failure score of the 186 patients were (23.3±1.9)mmHg (1 mmHg=0.133 kPa), (121±24)mmHg, (5.0±3.4)mmol/L and 10.4±3.6 before the treatment with open abdomen technique and (11.2±2.9)mmHg, (222±38)mmHg, (3.2±2.1)mmol/L and 4.4±2.3 at postoperative 168 hours, showing significant differences in time effects before and after the treatment ( Ftime=855.26,208.50, 174.91,208.47, P<0.05). (2) Analysis of clinical characteristics in patients with different treatment outcomes. Of the 186 patients, 166 cases survived and were discharged, and 20 cases died during hospitalization. Age, sequential organ failure score, duration of ACS and levels of lactic acid during hospitalization before the treatment with open abdomen technique were (41±7)years, 9.4±3.4, 13(10,21)hours and (4.2±0.6)mmol/L in surviving patients, versus (45±6)years, 11.5±2.4, 65(39,84)hours and (5.2±0.5)mmol/L in dead patients, respectively, showing significant differences between them ( t=-2.10, -2.71, Z=-5.36, t=-7.16, P<0.05). Duration of postoperative acute gastro-intestinal injury, duration of continuous renal replacement therapy, time to liberation from mech-anical ventilation, duration of vasoactive drugs therapy, cases undergoing early abdominal closure, cases without intestinal fistula or with postoperative high-order intestinal fistula and low-order intestinal fistula during hospitalization after the treatment with open abdomen technique were 4(2,6)days, 4(3,7)days, 34(21,41)days, 3(2,6)days, 126, 131, 23, 12 in surviving patients, versus 13(10,17)days, 10(8,18)days, 0(0,3)days, 8(6,12)days, 1, 2, 15, 3 in dead patients, respectively, showing significant differences between them ( Z=-5.60, -3.75, -3.64, -3.06, χ2=41.43, 45.86, P<0.05). (3) Changing trend of the volume of urine output, levels of lactic acid, levels of enteral nutrient intake and the sequential organ failure score in patients with different treatment outcomes. The volume of urine output, levels of lactic acid, levels of enteral nutrient intake and the sequential organ failure score in surviving patients during hospitalization were (0.29±0.10)mL/(kg·h), (4.2±0.6)mmol/L, 0.0 kcal/(kg·d) and 9.4±3.4 before the treatment with open abdomen technique and (2.22±0.15)mL/(kg·h), (1.9±0.7)mmol/L, (20.7±2.9)kcal/(kg·d) and 3.7±2.2 at postoperative 168 hours. The above indicators in dead patients during hospitalization were (0.28±0.08)mL/(kg·h), (5.2±0.5)mmol/L, 0.0kcal/(kg·d) and 11.5±2.4 before the treatment with open abdomen technique and (0.28±0.09)mL/(kg·h), (7.7±0.8)mmol/L, (4.6±1.8)kcal/(kg·d) and 12.4±2.1 at postoperative 168 hours. There were significant differences in time effects in the above indicators in surviving patients and dead patients before and after the treatment with open abdomen technique ( Ftime=425.57, 188.59, 394.84, 37.52, P<0.05). There were interactive effects between the above indicators and the treatment outcome at different time points ( Finteraction=383.14, 233.04, 169.83, 36.61, P<0.05). There were signifi-cant differences in the change trends of the above indicators between the surviving patients and the dead patients during hospitalization ( Fgouprs=2 739.56, 877.98, 542.05, 240.85, P<0.05). (4) Influen-cing factors for prognosis of patients. Results of univariate analysis showed that age, sequential organ failure score, duration of ACS before surgery, procalcitonin, lactic acid, postoperative high-order intestinal fistula, abdominal hemorrhage, duration of postoperative acute gastrointestinal injury, duration of continuous renal replacement therapy, duration of vasoactive drugs therapy, early abdominal closure were related factors influencing prognosis of patients under-going treatment with open abdomen technique ( hazard ratio=1.07, 1.18, 1.39, 1.16, 8.25, 12.26, 2.83, 1.29, 1.56, 1.41, 0.02, 95% confidence interval as 1.00-1.15, 1.45-2.27, 1.22-1.57, 1.02-1.32, 1.75-38.90, 7.37-41.23, 1.16-6.93, 1.22-1.37, 1.23-1.99, 1.08-1.84, 0.00-0.16, P<0.05). Results of multivariate analysis showed that extended duration of ACS before surgery, postoperative high-order intestinal fistula and extended duration of postoperative acute gastrointestinal injury were independent risk factors influencing prognosis of patients undergoing treatment with open abdomen technique ( hazard ratio=1.05, 7.95, 1.17, 95% confidence interval as 1.01-1.32, 2.05-30.87, 1.13-1.95, P<0.05) and early abdominal closure was an independent protective factor ( hazard ratio=0.10, 95% confidence interval as 0.01-0.89, P<0.05). Results of Spearman correlation analysis showed that duration of ACS was positively correlated with sequential organ failure score before surgery ( r=0.71, P<0.05). Conclusions:Open abdomen technique is effective for acute pancreatitis with ACS. Extended duration of ACS before surgery, postoperative high-order intestinal fistula and extended duration of postoperative acute gastrointestinal injury are independent risk factors for prognosis of patients during hospitalization and early abdominal closure is an independent protective factor.

Objective To observe the clinical characteristics of 2 patients with mucolipidosis type Ⅲ. Methods Two sibling patients (a sister and a brother) with mucolipidosis type Ⅲ symptoms and other family members were the research objects, and the changes of their features of hand bone imaging, blood indexes [blood glucose, cholesterol, triacylglycerol (TG), total protein (TP), albumin (Alb)] and body composition were analyzed. Results Except the 2 patients, the bone morphology, blood indexes and body compositions in other 7 family members were under normal conditions. The phalanx intervals of both hands in 2 patients with mucolipidosis type Ⅲwere widened significantly, among them the thumb manifestation was more obvious; the distal segments of phalanxes in both hands became pointed and curved presenting a "claw-like hand" deformity; the metacarpal and distal carpal metaphysis were obviously enlarged, and scaphoid, lunate, trianglar, orbicular, and trapezium and trapezoid bones were loosely arranged at the wrist; the distal ends of ulna and radius were markedly enlarged. Compared to healthy people, the triglyceride levels of serum in the 2 patients were obviously reduced (the percentage of reduction: 57.14% and 41.07% respectively); body mass indexes (BMI), total fat and visceral fat were significantly lowered (BMI reduction percentage:26.81% and 14.55%, total fat reduction percentage: 38.12% and 44.95%, visceral fat reduction percentage: 62.25% and 67.74%, respectively) in the two patients. Conclusion The purpose of studying the biochemistry indexes, imaging characteristics and body compositions is to more deeply understand the clinical symptoms and signs of the 2 sibling patients with mucolipidosis type Ⅲ in a family to provide a theoretical reference.

In order to adapting the course construction of anatomy to the needs of medical education in the new situation,we analyzed and summed up the effect of the course construction of anatomy,and put forward some measures such as working out the plan of course construction sci-entifically,perfecting teachers’training,upgrading content of course as well as the teaching methods and means,strengthening the teaching of experiment,reforming the means and contents of evalua-tion and paying attention to the cultivation of students’innovation and manipulative ability.