With wide application of medical consumables, inventory management of medical consumables has important significance. The principle and two specific methods for keeping inventory level are introduced to give specific requirements of stock materials keeping and quality management. How to set up scientific management processes is more discussed in order to protect the work development of clinical medical care in health and safety in related crow, such as patient and user, and improve the efficiency and reduce labor intensity of care, so that the quality of medical care can reach to a new level.

Objective:To establish an automatic segmentation network based on different receptive fields for gross target volume (GTV) and organs at risk in patients with nasopharyngeal carcinoma.Methods:Radiotherapy data of 100 cases of nasopharyngeal carcinoma including CT images and GTV and organs at risk delineated by the physicians were collected. Ninety plans were randomly selected as the training dataset, and the other 10 plans as the validation dataset. Firstly, the images were subject to three data augmentation methods including center cropping, vertical flipping and rotation (-30°to 30°), and then input into MA_net networks proposed in this study for training. The model performance of networks was assessed by the number of network parameters (NP), floating-point number (FPN), the running memory (RM) and Dice index (DI), and eventually compared with DeeplabV3+ , PSP_net, UNet+ + and U_Net networks.Results:When the input image was in the size of 240×240, MA_net had a NP of 23.20%, 20.10%, 25.55% and 27.11% of these 4 networks, 50.02%, 19.86%, 6.37% and 13.44% for the FPN, 40.63%, 23.60%, 11.58% and 14.99% for the RM, respectively. For the DI of GTV, MA_net was 1.16%, 2.28%, 1.27% and 3.59% higher than these 4 networks. For the average DI of GTV and OAR, MA_net was 0.16%, 1.37%, 0.30% and 0.97% higher than these 4 networks.Conclusion:Compared with those four networks, the proposed MA_net network has slightly higher Dice index with fewer parameters, lower FPN and smaller RM.

The cultivation of medical students' scientific research and innovation ability is the need of our country to accelerate the construction of an innovative country. This paper starts from the significance of strengthening the cultivation of medical students' scientific research and innovation ability, emphasizes participation in teacher's scientific research in colleges and universities to strengthen the feasibility of the medical students' scientific research and innovation ability cultivation, and summarizes the practical experience of cultivating medical students' scientific research ability based on scientific research projects of teachers in colleges and universities, which can provide reference for peers.

Glucose metabolic disorder is a common issue in sepsis and it leads to an increase in mortality. However, the therapeutic methods of the glucose metabolic disorders in sepsis patients need to be improved. Studying the mechanism of glucose metabolism disorder, and adjusting the existing treatment measures are especially significant in curing the sepsis. This review summarizes recent animal experiments and clinical studies about glucose change after septic complications, focusing on the treatment of three disorders including hyperglycemia, hypoglycemia, and blood glucose variability. They definitely provide new ideas for the control of blood glucose in sepsis patients.

Sepsis is a critical complication of severe trauma, large area burns, infection, and major surgery etc., which can induce septic shock and multiple organ dysfunction syndrome (MODS), and its incidence and mortality are always high. Nuclear factor-E2 related factor 2 (Nrf 2) is an important transcription factor of antioxidant stress response. It plays a key role in the treatment of sepsis by regulating the expression of antioxidant enzyme and phase Ⅱ detoxification enzyme mediated by antioxidant response element (ARE). In this article we review the changes, related regulation mechanism and reversing measures of Nrf 2 in sepsis, aiming to provide a reference for the effective intervention measures of sepsis.

Objective:To compare the effectivity and safety of ureteral stenting and percutaneous nephrostomy for patients with upper urinary calculi and sepsis.Methods:From June 2013 to June 2019, 429 patients with upper urinary calculi and urosepsis were accepted in the second hospital of Tianjin Medical University. According to surgical decompression, patients were divided into two groups, ureteral stenting (US, n=304) and percutaneous nephrostomy (PCN, n=125).121 patients were accompanied with septic shock in US group, 56 in PCN group. The effectivity of decompression was analyzed separately in patients with or without shock. For decompression, data included the success rate of decompression, the time of infection related parameters (temperature, blood WBC and CRP) returning to normal and the complications (progress of infection within 30min after decompression, perforation of ureter or pelvis). When urosepsis was cured, ureteroscopic lithotripsy was followed for all patients. The operation time, the stone free rate, the rate of using RIRS and the complications were compared.Results:For patients without septic shock, the success rate of decompression in PCN was higher (68/69)than that of US(165/183)( P =0.025); there was no significant difference in hospital stay for infection control and the time of infection related parameters (temperature, blood WBC and CRP) returning to normal ( P>0.05). The rate of infection progress within 30min in US(25/183) was higher than PCN(3/69)( P=0.036). When ureteroscopic lithotripsy was mentioned, the operation time in US(38.5±6.8 min) was longer than PCN(32.8±4.5 min)( P=0.000), the stone free rate and the rate of using RIRS were lower in PCN( P=0.044, P=0.0002). For patients with septic shock, the success rate of decompression in PCN was higher (55/56)than that of US(106/121)( P=0.022). The rate of infection progress within 30min after decompression was still higher in US ( P=0.048), the time of infection related parameters (temperature, blood WBC and CRP) returning to normal was shorter in PCN ( P=0.000, P=0.003, P=0.000). For lithotripsy, the operation time was longer in US ( P=0.017), the stone free rate and the rate of using RIRS were lower in PCN ( P=0.024, P=0.005). Conclusions:For patients with upper urinary calculi and urosepsis, both ureteral stenting and percutaneous nephrostomy can drainage the pelvis effectively. PCN provides quick recovery, especially when septic shock is involved. For the following ureteroscopic lithotripsy, PCN contributes to less operation time and higher stone free rate, reduces the use of flexible ureteroscope.

Infectious and inflammatory diseases are important diseases threatening human health. Without timely control, a series of complications will occur in patients, such as sepsis, inflammatory factor storm, and even lead to death. It has been found that cytochrome P4501A1 (CYP1A1) plays a key role in the development of infectious and inflammatory diseases through aromatic hydrocarbon receptor (AhR) dependent and non-dependent pathways in different cells and organs induced by different substances. The non AhR dependent regulatory mechanism of CYP1A1 and the different roles of CYP1A1 in infection and inflammation is reviewed in order to provide reference for further research on the relationship between CYP1A1 and infection and inflammation.

Apoptosis ; Calcineurin ; metabolism ; Chymotrypsin ; metabolism ; Humans ; Lysosomes ; enzymology ; Mitochondria ; metabolism ; pathology ; Mitochondrial Dynamics ; Neuroblastoma ; metabolism ; pathology

Objective:To compare the accuracy and generalized robustness of three predictive models of knowledge-based treatment strategies for radiotherapy for optimized model selection.Methods:The clinical radiotherapy plans of 45 prostate cancer (PC) cases and 25 nasopharyngeal cancer (NPC) cases were collected, and analyzed using three models (Z, L and S model), proposed by Zhu et al, Appenzoller et al and Shiraishi et al, respectively, to predict the dose-volume histogram (DVH) of bladder and rectum on PC cases and that of left and right parotid on NPC cases. The prediction error was measured by the difference of area under the predicted DVH and the clinical DVH curves (|V (pre_DVH)-V (clin_DVH)|), where a smaller prediction error implies a greater prediction accuracy. The accuracies of these three models were compared on the single organ at risk (OAR), and the generalized robustness of models was evaluated and compared by calculating the standard deviation of the prediction accuracy on different OAR. Results:For bladder and rectum, the prediction error of L model (0.114 and 0.163, respectively) was significantly higher than those values of Z and S models (≤0.071, P<0.05); for left parotid gland, the predicted error of S model (0.033) did not present significant difference from those values of Z and L models (≤0.025, P>0.05); for right parotid gland, S model (0.033) demonstrated significantly higher prediction error than those of Z and L models (≤0.028, P<0.05). Regarding different OAR, S model showed a lower standard deviation of prediction accuracy when comparing to Z and L models (0.016, 0.018 and 0.060, respectively). Conclusions:In the prediction of DVH in bladder and rectum of PC, Z and S models were more accurate than L model. In contrast, Z and L models demonstrated higher accuracy than S model in the prediction of left and right parotid glands of NPC. In respect to different OAR, the generalized robustness of S model was superior than the other two models.

Objective:To investigate the role of three-dimensional dose distribution-based deep learning model in predicting distant metastasis of head and neck cancer.Methods:Radiotherapy and clinical follow-up data of 237 patients with head and neck cancer undergoing intensity-modulated radiotherapy (IMRT) from 4 different institutions were collected. Among them, 131 patients from HGJ and CHUS institutions were used as the training set, 65 patients from CHUM institution as the validation set, and 41 patients from HMR institution as the test set. Three-dimensional dose distribution and GTV contours of 131 patients in the training set were input into the DM-DOSE model for training and then validated with validation set data. Finally, the independent test set data were used for evaluation. The evaluation content included the area under receiver operating characteristic curve (AUC), balanced accuracy, sensitivity, specificity, concordance index and Kaplan-Meier survival curve analysis.Results:In terms of prognostic prediction of distant metastasis of head and neck cancer, the DM-DOSE model based on three-dimensional dose distribution and GTV contours achieved the optimal prognostic prediction performance, with an AUC of 0.924, and could significantly distinguish patients with high and low risk of distant metastasis (log-rank test, P<0.001). Conclusion:Three-dimensional dose distribution has good predictive value for distant metastasis in head and neck cancer patients treated with IMRT, and the constructed prediction model can effectively predict distant metastasis.