Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective To investigate the effect of T2-fluid attenuated inversion recovery(T2-FLAIR)sequence on the appearance of ivy sign in patients with moyamoya disease under different imaging conditions.Methods Coronal T2-FLAIR scans were performed in 51 consecutive adult patients with moyamoya disease who had not undergone surgery and had their first visit to this hospital between March and July of 2024.According to the scanning conditions,the patients were divided into 19 and 14 of the echo train length in two groups,and 103,144,and 195 ms of the time of echo(TE)in three groups,respectively.The left and right cerebral hemispheres and whole brains were scored according to the cerebral vascular anatomy,and scores of the ivy sign of left and right cerebral hemispheres and whole brain were compared.Results There was no statistical significance in the ivy sign scores of right and left cerebral hemispheres and whole brain between the two groups with 19 and 14 of the echo train length(P＞0.05).Comparison of ivy sign scores in right and left cerebral hemispheres and whole brain was statistically significant among the three groups of TE at 144,103 and 195 ms(P＜0.05).Conclusion The best appearance of ivy sign in patients with moyamoya disease is seen under the condition of TE at 195 ms,so appropriately extending the TE time is helpful for ivy sign display.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective:To observe any effect of percutaneous tibial nerve stimulation (PTNS) combined with electro-acupuncture on detrusor overactivity after a spinal cord injury.Methods:Forty spinal cord injury survivors with neurogenic detrusor overactivity were randomly assigned to a control group or an observation group, each of 20. Both groups received routine bladder training and electro-acupuncture modulating 3 sacral spinal nerves. The observation group also received 20 minutes of bilateral PTNS five times a week for 8 weeks. The frequency was 10Hz with a pulse width of 200μs. Before and after the treatment, both groups′ urination frequency, incontinence and average daily urine volume were assessed using a urodynamics analyzer, bladder diaries and an incontinence quality of life questionnaire (I-QOL).Results:After treatment, the average involuntary detrusor contraction volume (IDCV), maximum detrusor pressure at filling time (P det·max), bladder compliance (BC), residual volume and the TL value of the electromyogram of the urethral sphincter (LgTLR) had all improved significantly in both groups. The 1st IDCV, BC and LgTLR of the observation group were then significantly better than in the control group, on average, with the average P det·max and residual volume significantly lower than in the control group. The average daily single urine output and I-QOL score of both groups had increased significantly, while the average daily urination frequency and frequency of urinary incontinence had decreased significantly. Both were again significantly better in the observation group. Conclusion:Combining percutaneous electrical stimulation of the tibial nerves with electro-acupuncture can effectively inhibit detrusor overactivity after a spinal cord injury, reducing urinary incontinence.

Objective: To investigate the spatio-temporal clustering characteristics of influenza in Yinzhou District, Ningbo City, Zhejiang Province from 2017 to 2021, so as to provide insights into prevention and control of influenza. Methods Data of influenza in Yinzhou District from 2017 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The software ArcGIS 10.8 was employed for spatial autocorrelation analysis, and SaTScan 10.1 was employed for spatio-temporal scanning to analyze the temporal and spatial clustering characteristics of influenza incidence in Yinzhou District. Methods: Data of influenza in Yinzhou District from 2017 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The software ArcGIS 10.8 was employed for spatial autocorrelation analysis, and SaTScan 10.1 was employed for spatio-temporal scanning to analyze the temporal and spatial clustering characteristics of influenza incidence in Yinzhou District. Results: Totally 60 543 influenza cases were reported in Yinzhou District from 2017 to 2021, with an incidence of 0.76%. The incidence of influenza peaked in December 2019 (9.35%) and January 2020 (9.28%) during the period between 2017 and 2021. Spatial autocorrelation analysis showed that there was a positive spatial correlation of influenza incidence in Yinzhou District from 2018 to 2021 (all P<0.05), and a high clustering in 2019 and 2021. Zhonghe Street showed a low-high clustering from 2017 to 2020; Jiangshan Town showed a low-high clustering in 2017 and 2020, and a high-high clustering in 2019 and 2021; Shounan Street showed a high-high clustering from 2018 to 2020; Yunlong Street showed a high-high clustering in 2021. Spatio-temporal scanning analysis showed that the class Ⅰ clusters were located in the central region which centered in Dongqianhu Town, with aggregation time in August 2017, in the northwest region with aggregation time in December and January from 2018 to 2020, and in the west region with aggregation time in August 2021. Conclusion The incidence of influenza in Yinzhou District from 2017 to 2021 showed a spatio-temporal clustering in the northwestern region in winter and summer.

Objective:To observe any effects of contralateral repeated transcranial magnetic stimulation (rTMS) of the swallowing motor cortex on the swallowing and brainstem auditory evoked potentials (BAEPs) of stroke survivors with dysphagia.Methods:A total of 83 stroke survivors with dysphagia were randomly divided into an ipsilesional stimulation group ( n=22), a contralesional stimulation group ( n=21), a bilateral stimulation group ( n=20), and a control group ( n=20). In addition to their conventional dysphagia training, those in the three stimulation groups received 3Hz rTMS while the control group was given fake stimulation. The treatment was administered daily for 20 minutes, 6 days a week, for 5 consecutive weeks. Before and after the treatment, swallowing function was assessed videofluoroscopically and using the Dysphagia Outcome and Severity Scale (DOSS). The oral and pharyngeal stages of swallowing were evaluated using the videofluoroscopic dysphagia scale (VDS). Brain stem conduction was assessed using BAEPs. Results:After treatment the average DOSS scores of all 4 groups were significantly better than before the treatment. The average DOSS scores of the contralesional and bilateral sti-mulation groups were then significantly better than those of the other two groups. The sub-item and total VDS scores of all 4 groups had decreased significantly, but the average score of the bilateral stimulation group was significantly lower than the control group′s average. Ipsilesional stimulation significantly improved the VDS sub-item scores for the triggering of pharyngeal swallowing, laryngeal elevation, and pharyngeal transit time compared with the control group. In the contralesional stimulation group the average total score and the VDS sub-item scores for apraxia, premature bolus loss, oral transit times, the triggering of pharyngeal swallowing, vallecular residue, laryngeal elevation, coating on the pharyngeal wall, and pharyngeal transit time were significantly lower than those of the control group, on average. After the treatment the latencies of BAEP waves I, III and V and the I-III, III-V and I-V interpeak intervals had decreased significantly in all four groups, but the average latencies and intervals of the bilateral and contralesional groups were significantly shorter than those of the control group. The latencies and intervals of the bilateral stimulation group were then significantly shorter than those in the ipsilesional stimulation group on average. The average latency of wave V in the bilateral stimulation group (6.53±0.73ms) was significantly shorter than that in the contralesional stimulation group after the treatment.Conclusion:Bilateral rTMS over the swallowing motor cortex combined with conventional dysphagia training can significantly improve the swallowing of dysphagic stroke survivors.

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

Enterotoxigenic Escherichia coli（ETEC）infection can induce watery diarrhea，leading to dehydration，electrolyte disturbance，and even death in severe cases. Recombinant B subunit/inactivated whole-cell cholera（rBS/WC）vaccine is effective in preventing ETEC infectious diarrhea. On the basis of the latest evidence on etiology and epidemiology of ETEC，as well as the effectiveness，safety，and health economics of rBS/WC vaccine，National Clinical Research Center for Child Health（The Children’s Hospital，Zhejiang University School of Medicine）and Zhejiang Provincial Center for Disease Control and Prevention invited experts to develop expert consensus on rBS/WC vaccine in prevention of ETEC infectious diarrhea. It aims to provide the clinicians and vaccination professionals with guidelines on using rBS/WC vaccine to reduce the incidence of ETEC infectious diarrhea.

Objective:To evaluate the safety and efficacy of Delorme procedure for adults with full-thickness rectal prolapse.Methods:Clinical data of 17 adult patients suffering from full-thickness rectal prolapse undergoing Delorme procedure from June 2014 to May 2018 in Hangzhou Third Hospital were retrospectively analyzed. Patient characteristics, operative data, postoperative complications, recurrence of rectal prolapse, continence state and constipation state were evaluated.Results:Eleven patients were female, 6 patients were male with a mean age of (68 ± 9) years. Operations were successfully performed in these 17 cases. The operation time was (88 ± 16) minutes. The estimated blood loss during operation was (23 ± 9) ml. The postoperative time of hospital stay was (8 ± 1) d. Two complications in two patients were observed. There was no treatment related death. One recurrent case was observed during (16 ± 2) months follow-up. The preoperative and postoperative mean constipation score of five patients with fecal constipation were (23 ± 2) and (11 ± 3) respectively ( t = 9.51, P<0.01). The mean fecal incontinence score of six patients with fecal incontinence, before and after Delorme procedure, were (14 ± 2) and (6 ± 2) respectively ( t = 9.09, P<0.01). Conclusions:The Delorme procedure for adults with full-thickness rectal prolapse is a safe and effective surgery with less complications and low recurrence rate. The Delorme procedure may be one of the preferred option of perineal approach for adults with full-thickness rectal prolapse, but the long-term outcome of Delormer procedure and its effect on postoperative anal function need to be further studied.

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Chinese Pancreatic Surgery Association, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.