Objective:To evaluate the diagnostic efficacy of prostate imaging recurrence reporting (PI-RR) system for detecting local recurrence after radical prostatectomy (RP) in prostate cancer (PCa) and to assess the consistency of the PI-RR scores assigned by different seniority radiologists.Methods:This study was a cross-sectional study. A total of 176 PCa patients who underwent multi-parametric MRI (mpMRI) for biochemical recurrence (BCR) after RP from July 2015 to October 2021 at the First Affiliated Hospital of Soochow University were retrospectively collected. The mpMRI images were reviewed and the PI-RR scores of the main lesions were assigned independently by six different seniority radiologists (2 junior, 2 senior and 2 expert radiologists). Following the reference standard determined by biopsy pathologic results, follow-up imaging, or prostate specific antigen levels, the patients were divided into two groups: 54 patients with local recurrence and 122 patients without local recurrence. The intraclass correlation coefficient ( ICC) and Kappa test were used to evaluate the consistency of the PI-RR scores by different seniority radiologists. The receiver operating characteristic (ROC) curve analysis was employed to evaluate the diagnostic efficacy of the PI-RR scores assessed by different seniority radiologists for detecting local recurrence of PCa after RP. The DeLong test was utilized to compare the areas under the ROC curve (AUC) of different seniority radiologist PI-RR scores and a false discovery rate (FDR) was applied to correct results using the Benjamini and Hochberg method. Sensitivity and specificity were calculated according to the cutoff value of PI-RR score≥3 or 4. Results:The ICC (95% CI) of all different seniority radiologists was 0.70 (0.64-0.76). The Kappa value was 0.528, 0.325 and 0.370 respectively between expert and senior radiologists, expert and junior radiologists, senior and junior radiologists. The AUC (95% CI) of junior, senior, and expert radiologists were separately 0.73 (0.65-0.81), 0.81 (0.74-0.88), and 0.86 (0.80-0.93). The AUC of the expert radiologist PI-RR score was higher than those of senior and junior radiologist PI-RR scores ( Z=2.22, 3.21, FDR P=0.039, 0.003). The PI-RR score of senior radiologist had higher AUC than that of junior radiologist ( Z=2.22, FDR P=0.026). With the PI-RR score of 3 or greater as a cutoff value, the sensitivity of junior, senior and expert radiologists were respectively 0.59, 0.65, and 0.78 and the specificity were 0.82, 0.93, and 0.95. With the PI-RR score of 4 or greater as a cutoff value, the sensitivity of junior, senior and expert radiologists were respectively 0.50, 0.54, and 0.69 and the specificity were 0.88, 0.96 and 0.97. Conclusion:PI-RR score can accurately diagnose local recurrence of PCa after RP. PI-RR score has a moderate inter-reader consistency across different seniority radiologists. And the diagnostic performance is influenced by the experience of radiologists.

Objective To explore the value of radiomics in stratifying the Gleason score (GS) of prostate cancer based on vast image features from biparametric MRI. Methods Three hundred and sixteen patients were enrolled in this study from October, 2015 to December, 2018 and their results of surgical pathology were obtained. The lesions were manually depicted by 3D?Slicer. Then, 106?dimensional features extracted by radiomics were used to conduct Spearman non?parametric correlation test with the high and low risk stratification of GS. The constructed Neural Network was trained with the features after dimension reduction by principal component analysis as the input. Then, the testing set was fed in to get the predictive capability of the model. In the end, 10?fold cross?validation and shuffle of 100 times were used to test the accuracy of the prediction and the generalization ability of the model. Results Seventy seven?dimensional features with significant correlation were found at the level of P valued=0.05 (two?tailed). After dimensional features were reduced, 21 dimensional new feature spaces with 99% original feature information were obtained. The results on the testing data after the 10?fold validation and shuffle were AUC=0.712 with T2WI, AUC=0.689 with DWI(b=1 000 s/mm2), AUC=0.689 with DWI (b=2 000 s/mm2) and AUC=0.691 with DWI (b=3 000 s/mm2). Conclusion The neural network after extracting features from biparametric MRI images can accurately and automatically distinguish the high risk and low risk groups of Gleason grade of prostatic cancer.

Objective To explore the value of a clinical-radiomics-deep learning(CRDL)fusion model based on biparametric mag-netic resonance imaging(bpMRI)in predicting biochemical recurrence(BCR)after radical prostatectomy(RP).Methods A retrospective analysis was conducted on 363 patients with prostate cancer(PCa)confirmed by RP pathology who underwent preoperative MRI,inclu-ding 84 cases experienced BCR(23.1％)and 279 cases did not experience BCR(76.9％).The patients were randomly divided into a training set(n=254)and a test set(n=109)in a ratio of 7∶3.Univariate Cox regression analysis was employed to select clinical variables related to BCR and the clinical model was constructed using backward stepwise multivariate Cox regression analysis.The radiomics features and deep learning(DL)features based on the DenseNet network were extracted.Radiomics and DL signatures were separately developed using least absolute shrinkage and selection operator(LASSO)-Cox regression algorithm.A CRDL fusion model was constructed by combining significant clinical features,DL signature and radiomics signature.The models'predictive performance for BCR was evaluated and compared using the concordance index(C-index).K-M survival curve and Log-rank test were used to assess the performance of CRDL fusion model in risk stratifica-tion of biochemical recurrence free survival(bRFS).Results In the test set,there was no statistically significant difference among C-index of radiomics signature,DL signature and clinical model(P＞0.05).The CRDL fusion model achieved a C-index of 0.83,higher than the clinical model,radiomics signature,and DL signature(P=0.03,0.01,and 0.03).K-M survival curve showed a significant difference in bRFS between low-risk and high-risk patients stratified by the CRDL fusion model[P＜0.000 1,hazard ratio(HR)=30.56,95％confidence interval(CI)10.64-87.75].Conclusion Radiomics signature and DL signature have comparable predictive per-formance for BCR after RP.The CRDL fusion model exhibits the best predictive efficacy for BCR,which is valuable for guiding postoperative treatment strategies in clinical practice.

Objective:To investigate the clinical outcome and influencing factor of one-anastomosis duodenal switch (OADS) for obesity.Methods:The retrospective cohort study was conducted. The clinical data of 104 obesity patients who underwent OADS in the China-Japan Union Hospital of Jilin University from October 2018 to June 2021 were collected. There were 42 males and 62 females, aged 33(range, 18?66)years. The clinical outcome of each patient was evaluated using Textbook Outcome (TO). Observation indicators: (1) treatment situations for patients; (2) TO situa-tions; (3) analysis of factors affecting postoperative TO. Follow-up was conducted using outpatient examination or telephone interview to detect postoperative complication of patients up to November 2021. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M (range), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using chi-square test. Multivariate analysis was conducted using the binary Logistic regression model. Results:(1) Treatment situations for patients. All 104 patients under-went OADS without conversion to laparotomy or death of patient. The operation time and duration of postoperative hospital stay of the 104 patients were (187±39)minutes and 6(range, 4?55)days, respectively. Two of the 104 patients were readmitted. The experiences of surgeons on OADS was (53±30)cases. There were 82 patients underwent OADS using the Da Vinci robotic surgical system, while there were 22 patients underwent OADS using laparoscopic surgery system. The complication rate of 104 patients was 7.69%(8/104). Cases with stage Ⅱ, stage Ⅲb and stage Ⅳ complications of the Clavien Dindo classification were 5, 2 and 1, respectively. (2) TO situation. Of the 104 patients, 62 cases achieved TO, while 42 cases did not achieve TO. The operation time, retention time of abdominal drainage tube, duration of postoperative hospital stay, experiences of surgeons on OADS, number of OADS for surgeons using Da Vinci robotic surgical system were (166±26)minutes, 0(range, 0?7)days, 6(range, 4?7)days, 62±28, 54 in patients achieved TO, versus (218±34)minutes, 3 (range, 0?11)days, 8(range, 5?55)days, 38±27, 28 in patients not achieved TO, showing significant differences in the above indicators between them ( t=?8.81, Z=?3.63, ?5.33, t=4.27, χ2=6.27, P<0.05). Cases with complications were 0 in patients achieved TO, versus 8 in patients not achieved TO, showing a significant difference between them ( P<0.05). (3) Analysis of factors affecting postoperative TO. Results of multivariate analysis showed that the experiences of surgeons on OADS was an independent influencing factor for postoperative TO in patients undergoing OADS ( odds ratio=1.04, 95% confidence interval as 1.01?1.06, P<0.05). Conclusions:OADS is safe and feasible for obesity patients with low postoperative complication incidence and satisfactory clinical outcome. The experiences of surgeons on OADS is an independent influencing factor for postoperative TO in patients undergoing OADS.

Objective:To investigate the application value of artificial neural network in laparoscopic surgery training.Methods:The prospective cohort study was conducted. A total of 158 trainees from the First Hospital Affiliated to Army Medical University between Semptember and November, 2019 who had no experience in laparoscopic technology were selected for laparoscopic surgery training, including 52 graduate students of surgery from grade 2019, 2018 and 2017, 58 surgeons receiving standardized residency training, 12 interns and 36 refresher physicians. The 158 trainees were divided into two groups using the random number table. Trainees trained by artificial neural network laparoscopic simulator were allocated into artificial neural network group, and trainees trained by box laparoscopic simulator were allocated into general laparoscopic simulator group. Trainees in both groups were trained using the laparoscopic simulator for 10 hours (5-day continuous training, 2 hours per day) on fundamentals of laparoscopic surgery. Observation indicators: (1) comparison of operation grades on laparoscopic simulator before and after training in the two groups; (2) comparison of improvement of the operation grades on laparoscopic simulator after training between the two groups. Measurement data with normal distribution were represented as Mean± SD, comparison within groups was analyzed using the paired t test and comparison between groups was analyzed using the independent sample t test. Measurement data with skewed distribution were represented as M (range). Results:A total of 158 trainees were selected for eligibility, including 140 males and 18 females, aged from 23 to 34 years, with a median age of 27 years. Of the 158 trainees, 79 were in the artificial neural network group and 79 were in the general laparoscopic simulator group. (1) Comparison of operation grades on laparoscopic simulator before and after training in the two groups: operation grades of the nails transferring, pattern cutting, ligation, sewing knots in vivo and sewing knots in vitro for the artificial neural network group before training were 51.2±4.9, 45.6±3.7, 43.0±3.6, 42.1±3.1, and 39.6±3.1, respectively. The above indicators for the artificial neural network group after training were 78.6±3.0, 76.4±3.9, 79.9±2.5, 78.3±3.5, and 84.1±3.8, respectively. There were significant differences in the above indicators for the artificial neural network group before and after training ( t=-42.490, -56.256, -80.373, -70.802, -79.742, P<0.05). The above indicators for the general laparoscopic simulator group before training were 50.1±2.9, 45.4±3.9, 42.7±3.0, 42.3±3.4, and 39.2±4.7, respectively. The above indicators for the general laparoscopic simulator group after training were 70.4±5.0, 69.8±4.0, 72.3±3.3, 72.3±3.5, and 72.8±3.2, respectively. There were significant differences in the above indicators for the general laparoscopic simulator group before and after training ( t=-28.942, -42.436, -58.357, -52.322, -53.098, P<0.05). (2) Comparison of improvement of the operation grades on laparoscopic simulator after training between the two groups: improvement of the operation grades in the nails transferring, pattern cutting, ligation, sewing knots in vivo and sewing knots in vitro for the artificial neural network group after training were 27.4±5.7, 30.8±5.0, 36.9±4.1, 36.2±4.5 and 39.5±5.4, respectively. The above indicators for the general laparoscopic simulator group after training were 20.3±6.2, 24.4±5.1, 29.6±4.5, 29.9±5.1 and 33.5±5.6, respectively. There were significant differences in the above indicators between the two groups ( t=7.597, 7.946, 10.638, 8.200, 6.969, P<0.05). Conclusion:The introduction of artificial neural network in laparoscopic surgery training can improve the training effects.

Objective:To investigate the effect of prospective intervention on emergence agitation and postoperative recovery in patients with chronic sinusitis during preoperative visits.Methods:A total of 80 patients with chronic sinusitis who underwent general anesthesia in Dayi County People′s Hospital of Chengdu City from December 2019 to October 2020 were selected and randomly divided into group D and group G, with 40 patients in each group. Group D received preoperative visit with conventional methods and group G received preoperative visit with prospective intervention methods. The hemodynamic changes of patients in the two groups at 30 min before the operation (T 1) and 1 (T 2), 5 (T 3), 10 (T 4) and 30 min (T 5) after tracheal tube extraction were recorded. The anxiety and depression scores of patients before the intervention and 1 d after the operation were compared between the two groups. The incidence of emergence agitation after the operation and complications during anesthesia awakening period were observed in the two groups, sino-nasal outcome test-20 (SNOT-20) was used to assess the postoperative recovery. Results:The incidence of emergence agitation in group G was lower than that in group D: 7.5%(3/40) vs. 25.0%(10/40), the difference was statistically significant ( χ2 = 4.50, P<0.05). There was no significant difference in systolic blood pressure, diastolic blood pressure and heart rate between the two groups at T 1 and T 5 ( P>0.05), but the level of above indicators in group G at T 2, T 3 and T 4 were significantly higher than those in group D ( P<0.05). The scores of State-Trait Anxiety Inventory(S-AI) and Self-Rating Depression Scale (SDS) in group G at the first day after the operation were significantly lower than those in group D: (35.45 ± 5.32) scores vs. (39.35 ± 4.91) scores, (35.42 ± 7.82) scores vs. (38.76 ± 5.21) scores, the differences were statistically significant ( P<0.05). The incidence of complications during anesthesia awakening period in group G was slightly lower than that in group D ( P>0.05). After the operation, the scores of sinusitis symptoms and nasal symptoms in the two groups were significantly decreased compared with those before the operation, and the scores of group G were significantly lower than those in group D ( P<0.05). Conclusions:Prospective intervention before anesthesia in patients with chronic sinusitis surgery can reduce stress response, improve bad mood, reduce the incidence of emergence agitation, and promote the postoperative recovery.

Purpose To investigate the clinical and patho-logical characteristics,molecular characteristics,treatments and prognosis of adenoid cystic carcinoma(AdCC)of the breast.Methods A retrospective analysis was conducted on the clini-cal pathology of 14 breast AdCC patients,and HE,immunohis-tochemistry,FISH testing,and follow-up were performed.Re-sults All cases were female,aged 43～70 years.10 cases of classic AdCC and 4 cases of solid-basal cell AdCC(SB-AdCC)were included.The tumor was composed of epithelial,myoepi-thelial and basal-like cells arranged in sieve,tubular and solid pattern with fibrous mucinous or glassy changes in the stroma.The tumor cells of SB-AdCC were moderately to severely atypical with frequent mitosis and necrosis,accompanied by ductal carci-noma in situ(DCIS).Expression of ER(1/14),PR(1/14),HER2(0/14),CK7(14/14),p63(12/14),CK5/6(14/14),CD117(13/14),MYB(9/14)was detected;Ki67 index was 13.2％and 46.1％in classic AdCC and SB-AdCC,respec-tively.The MYB rearrangement rates in classic AdCC and SB-AdCC were 55.6％(5/9)and 25％(1/4),respectively.All patients were underwent surgical resection and/or radiotherapy and chemotherapy.During the follow-up period(2-62 months),1 SB-AdCC patient died due to lung and liver metasta-sis,while the other 10 patients survived without tumors.Con-clusion SB-AdCC is more invasive than classical AdCC with lower frequency of MYB gene rearrangement,and immunohisto-chemical detection of MYB protein has potential value in assis-ting the diagnosis of SB-AdCC.

Objective To explore the clinical application of our self-designed controllable and portable double-pin traction device on calf in the treatment of tibiofibular fractures.Methods Our controllable and portable double-pin traction device on calf was designed to fulfill the purpose of traction and address current problems in traction for tibiofibular fractures.This device is composed of double-hole connectors,nuts of various specifications,traction pin sleeves,2 transfixion pins and 2 threaded rods for traction.The transfixion pins are fixed at conventional traction positions.The threaded rods for traction are paralleled to the long axis of lower limb and located on both sides of the calf.Bone ends can be distracted by adjusting the nut of M8 width and the speed of pulling can be controlled.This device can be used not only for rapid traction during surgery but also for slow traction preoperatively.It was applied in the 30 patients with tibiofibular fracture who had been treated at Department of Orthopaedic Surgery,920th Hospital of Joint Logistic Support Force from January to December 2017.Their radiographs were taken before traction and at 3 and 6 days after traction to observe the changes in overlapped fracture ends and fracture gap.The lengths of distraction were measured.After limited open reduction,fracture gaps and tensions of surrounding soft-tissues were observed.Results Their radiographs before and after traction demonstrated that their overlapped and displaced fracture ends were distracted more or less.The length of distraction ranged from 7.2 mm to 45.8 mm (mean,23.1 mm);it was ＜ 15 mm in 6 cases,between 15 mm and 30 mm in 18,between 31 mm and 45 mm in 5,and ＞ 45 mm in one.Their radiographs showed that regular traction for 6 days was more obvious than that for 3 days.The limited open reduction revealed that the gap between fracture ends was expanded,the soft-tissue tension effectively relaxed,the overlapping of fracture ends diminished,and the dissection of surrounding soft-tissue and periosteum decreased,leading to less difficulty in reduction.In fractures near the joint or involving the articular surface,the joint space was expanded.The 30 patients were followed up for one to 16 months (mean,5.8 months).No such complications as pin site infection,traction fracture or osteomyelitis was observed.Conclusion Our self-designed controllable and portable double-pin traction device on calf is effective and advantageous,because it is simple,easy,light in weight,and controllable for traction speed.

Multidrug resistance （MDR） has been a main culprit behind the failure of chemotherapy in patients with malignant tumors and a major obstacle to improving the life quality and prolonging the survival of patients. Hepatocellular carcinoma cells， the innate drug-resistant cells， are generally insensitive to radiotherapy and chemotherapy. Moreover， as the early symptoms of hepatocellular carcinoma are atypical， most patients are diagnosed at the advanced stage， with short survival period and high recurrence rate. Thus， the sensitivity to chemotherapy drugs is decreased. This explains how MDR becomes one of the important reasons for the failure of primary hepatocellular carcinoma （PHC） treatment. Therefore， it is an urgent task to search for safe and effective chemosensitizers with little adverse effect in the research on the drug resistance of hepatocellular carcinoma. As Chinese medicine has been widely applied in the treatment of tumors， the mechanisms of compound Chinese medicine prescriptions， Chinese medicine injections， and single Chinese medicinal in reversing chemotherapy resistance in liver cancer have attracted the interest of scholars. According to previous reports， the mechanisms can be summarized as increasing intracellular drug concentration， influencing changes in enzyme activity， inducing apoptosis， reversing abnormalities in cellular signaling pathways， and regulating the tumor microenvironment. Traditional Chinese medicine reduces the chemotherapy resistance of hepatocellular carcinoma cells through multiple targets and multiple pathways， thereby improving the chemotherapy sensitivity of the cancer cells and enhancing the toxicity of chemotherapeutic drugs to hepatocellular carcinoma cells. Therefore， exploring the mechanism of MDR of hepatocellular carcinoma from the perspective of traditional Chinese medicine is important for reversing the MDR and is of great reference value for clinical treatment of hepatocellular carcinoma. However， there are few experimental types and adverse effects available. Thus， the multi-mechanism and multi-target experiments and clinical research should be carried out in the future.

Objective:To study the glypican 3 (GPC3) fluorescent probe imagings in hepatocellular carcinoma (HCC) tissues and to determine its prognostic value in HCC patients.Methods:The data of 87 patients who were treated at the Affiliated Hospital of Southwest Medical University from January 2019 to August 2020 were retrospectively analyzed. There were 75 males and 12 females, with the age of (56.1±11.9) years. The expressions of GPC3 were measured by immunohistochemistry and by the fluorescent probe. The results obtained by these two tests were compared. Patients were followed up for recurrence after hepatectomy. Univariate and multivariate Cox regression analyses were used to analyze factors influencing recurrence-free survival.Results:Detection of the GPC3 expression by GPC3 fluorescence probe was consistent with the results obtained by immunohistochemical studies ( Kappa=0.84, P<0.001). The positive rates of GPC3 fluorescent probe was 79.3%(69/87), compared with 80.4%(70/87) by immunohistochemistry studies, with no significant difference between the two groups ( P>0.05). The patients were then divided into the low differentiation group ( n=30) and the middle high differentiation group ( n=57) by the degrees of tumor differentiation. The fluorescence intensity in the low differentiation group was 134.4(128.0, 144.7) a. u. which was significantly different from the middle high differentiation group of 84.8(0, 108.5)a.u. ( Z=-7.52, P<0.001). The median fluorescence intensity of 87 patients with HCC was 108.6 a. u.. Multivariate Cox regression analysis showed that patients with a GPC3 fluorescence intensity ≥108.6 a. u. ( HR=2.07, 95% CI: 1.21-3.53, P=0.008) had a significant increased risk of recurrence after hepatectomy. Conclusion:The expressions of GPC3 in HCC were consistent between the studies by using either a GPC3 specific fluorescent probe or immunohistochemistry studies. A GPC3 fluorescence intensity ≥108.6 a. u. was a risk factor of recurrence after hepatectomy in patients with HCC.