Objective:To explore the method of constructing automatic delineation model for clinical target volume (CTV) and partially organs at risk (OAR) of postoperative radiotherapy for prostate cancer based on convolutional neural network, aiming to improve the clinical work efficiency and the unity of target area delineation.Methods:Postoperative CT data of 117 prostate cancer patients manually delineated by one experienced clinician were retrospectively analyzed. A multi-class auto-delineation model was designed based on 3D UNet. Dice similarity coefficient (DSC), 95% Hausdorf distance (95%HD), and average surface distance (ASD) were used to evaluate the segmentation ability of the model. In addition, the segmentation results in the test set were evaluated by two senior physicians. And the CT data of 78 patients treated by other physicians were also collected for external validation of the model. The automatic segmentation of these 78 patients by CTV-UNet model was also evaluated by two physicians.Results:The mean DSC for tumor bed area (CTV1), pelvic lymph node drainage area (CTV2), bladder and rectum of CVT-UNet auto-segmentation model in the test set were 0.74, 0.82, 0.94 and 0.79, respectively. Both physicians' scoring results of the test set and the external validation showed more consensus on the delineation of CTV2 and OAR. However, the consensus of CTV1 delineation was less.Conclusions:The automatic delineation model based on convolutional neural network is feasible for CTV and related OAR of postoperative radiotherapy for prostate cancer. The automatic segmentation ability of tumor bed area still needs to be improved.

OBJECTIVETo evaluate the role of germline mutations of TP53 gene among a Chinese population with high risk for breast cancer.

METHODSA total of 81 BRCA-negative breast cancer probands from cancer families were analyzed using targeted capture and next-generation sequencing. Candidate mutations were verified with Sanger sequencing. Co-segregation analyses were carried out to explore the likely pathogenicity of the mutation.

RESULTSOf the 81 BRCA-negative patients, 3 exonic mutations in the TP53 gene were identified in 3 breast cancer patients. Of these, 2 mutations were previously reported and 1 was novel. One family with TP53 mutation has met the criteria for Li-Fraumeni syndrome (LFS) and accounted for 9.1% of all families who fulfilled the diagnostic criteria for LFS. Two of the carriers were diagnosed with breast cancer under the age of 30, and have accounted for 11.8% (2/17) of all very young (≤30 years) breast cancer patients in our study.

CONCLUSIONThe TP53 germline mutation is more common in Chinese population with a high risk for breast cancer than previously thought. TP53 gene mutation screening should be considered particularly for patients with a family history of LFS and very young age of onset.

Adult ; Asian Continental Ancestry Group ; genetics ; Base Sequence ; Breast Neoplasms ; ethnology ; genetics ; China ; DNA Mutational Analysis ; Exons ; Family Health ; Female ; Genetic Predisposition to Disease ; ethnology ; genetics ; Germ-Line Mutation ; Heterozygote ; Humans ; Li-Fraumeni Syndrome ; ethnology ; genetics ; Male ; Middle Aged ; Pedigree ; Risk Factors ; Tumor Suppressor Protein p53 ; genetics ; Young Adult

OBJECTIVETo investigate the prevalence and risk factors of diabetic nephropathy in Ningbo Yinzhou district.

METHODSNephropathy screening was conducted among patients with type 2 diabetes mellitus (T2DM) registered in Ningbo Yinzhou district. Demographic information, clinical examination information, diabetes complications and behavioral risk factors of enrolled patients were collected. Logistic regression model was used to identify possible risk factors for the occurrence of diabetic nephropathy.

RESULTSAmong 10 604 T2DM patients included in this study, there were 3744 cases of diabetic nephropathy(35.31%). Univariate analysis showed that gender, age, education level, diabetes duration, glycemic control, hypertension, stroke, smoking and waist circumference were associated with diabetic nephropathy (<0.05 or <0.01). Multivariate logistic regression analysis showed that male, elders, long diabetes duration, hypertension and smoking were independent risk factors of diabetic nephropathy (<0.05 or <0.01).

CONCLUSIONSsDiabetic nephropathy is of high prevalence in T2DM patients. Male patients, elders, and those with long diabetes duration, hypertension and smoking habits are more likely to have diabetic nephropathy.

China ; Diabetes Mellitus, Type 2 ; Diabetic Nephropathies ; Humans ; Hypertension ; Logistic Models ; Male ; Prevalence ; Risk Factors ; Surveys and Questionnaires

Objective: To explore the difference of personality characteristics of physicians, nurses, medical skills and administrative personnel in a general hospital and its influence on job burnout. Methods: Employee entered the hospital before 2018 were enrolled in the current study and the position was classified as physicians, nurses, medical technician and administrative staff. Minnesota Multiphasic Personality Inventory (MMPI) was completed by the employee at the time of entering the hospital. Status of job burnout was assessed in 2018 using the Maslach Burnout Inventory-General Survey (MBI-GS) . Results: Physicians have a higher rate of paranoia than others (P<0.05) , and administrative staff and medical technician have a slightly higher score than the other two categories of people (P<0.05) , and administrators lie at a higher rate than others (P<0.05) . Further analysis found that personality traits did not have a significant association with job burnout at the time of entry. Conclusion The administrative and medical staff is slightly more irritable, the administrative staff lying slightly higher score, the staff after the entry of job burnout is not affected by the personality characteristics of the onboarding.

【Objective】 To explore the timing of surgical drainage for ureteral calculi with upper urinary tract infection. 【Methods】 Clinical data of 117 cases of ureteral calculi with upper urinary tract infection treated in our hospital during Jan.2018 and Jan.2020 were retrospectively analyzed. According to different treatment methods, the patients were divided into surgical drainage group and non-surgical drainage group. The patients’ age, gender, side of calculi, peak body temperature, time of onset, white blood cell (WBC) count, C-reactive protein (CRP) and other clinical indicators were compared between the two groups. The cutoff value of surgical drainage was determined with receiver operator characteristic (ROC) curve. 【Results】 The patients’ age, peak body temperature, WBC count and CRP level were the influencing factors of surgical drainage (P<0.05). Regression analysis showed that CRP (P<0.001), age (P=0.003) and WBC count (P=0.014) were independent risk factors for surgical drainage. The area under the ROC curve (AUC) of CRP, age, and WBC count were 0.923, 0.601, and 0.796, respectively. The cutoff value of CRP was 29.87 mg/L (sensitivity 79.4%, specificity 90.0%). Logistic regression model showed CRP was a significant clinical predictor. 【Conclusion】 Ureteral calculi with upper urinary tract infection need to be diagnosed and treated in time. Positive anti-infection should be performed during emergency treatment, and surgical drainage could be selected according to the value of CRP.