Objective To analyze autologous free palatal mucosa transplantation combined with full-thickness flap pe-riorbital nursing and patient care after eyelid defects change the quality of life. Methods From January 2012 to January 2014, 180 routine eyelid malignant tumor free after autologous transplantation combined palatal mucosa flap periorbital defects in patients with full-thickness eyelid, using a random number table method were divided into observation group and control group with each 90 cases. Routine patient care administered to the control group, the observation group were given conventional care measures, based on the incision, oral care and dietary management psychology, as well as satisfaction with the quality of life of patients after nursing care and conduct analysis to explore. Results After treat-ment, SDS十SAS scores were significantly reduced between the two groups of patients, and a reduction in the observa-tion group were significantly higher in patients in the control group of patients overall satisfaction rate of 54.4%. Over-all satisfaction rate of the observation group were 94.4%, the quality of life of patients in the observation group care af-ter the scores were significantly better than the control group patients were compared statistically meaningful difference between (P<0.05). Conclusion The combination of routine care, enhance patient surgical incision, oral care and di-etary management psychology, can relieve anxiety, depression adverse psy chological, effective prevention of infection and tumor recurrence, improve the quality of life of patients.

This article provides demonstrations and calculations, using rough-set theory and method, of the math-morphological features (MMFs), such as form parameter, lobation and sphericity, etc. drawn from 28 species of insects of the Hemiptera, Lepidoptera and Coleoptera based on their images. The results are compared with statistical analysis made by Zhao Hanqing, and also with the traditional classifications through the pattern recognition of neural network on the basis of the rough-set disposal. The result of the experiments showed that when used in categorical taxonomy, the importance of MMF was ranked from high to low: (roundness-likelihood. eccentricity) > (hot-hole number, sphericity, circularity) > (lobation, form parameter). The results of pattern recognition by neural network were completely identical with those of traditional classifications. Accordingly, the conclusion was that this theory applied in insect taxonomy was more idealistic compared with statistical analysis method, and it had great significance when used with rough-set neural network.
Algorithms ; Animals ; Fuzzy Logic ; Insecta ; classification ; Neural Networks (Computer)

Objective To detect the expression of Beclin1 and Bcl2 in invasive pituitary adenomas and to explore the relationship of Beclin1 and Bci2 in invasive pituitary adenomas and the relativity between the 2 genes.Methods 61 specimens were classified into invasive group (32 cases) and non-invasive group (29 cases) according to the comprehensive evaluation of invasive pituitary adenomas.lmmunofluorescence analysis and RT-PCR were adopted respectively to detect the protein and mRNA expressions of Beclinl and Bcl2.The difference and relativity of Beclin1 and Bcl2 expression in invasive group and non-invasive group were analyzed.Results 32 specimens of pituitary adenoma were invasive and 29 were non-invasive.Beclin1 protein and mRNA expressions were lower in the invasive group than in the non-invasive group (P ＜0.01 ).Bcl2 protein and mRNA expressions were higher in the invasive group than in the non-invasive group (P ＜0.01 ).Pearson related analysis showed that Beclin1 mRNA expression was negtively correlated with Bcl2 mRNA expression in the invasive group ( r =-0.42,P =0.028 ).Conclusions Beclinl expression is decreased in invasive pituitary adenomas.The invasiveness of pituitary adenoma is closely related to the high expression of Bcl2 protein and mRNA,and the low expression of Beclin1 protein and mRNA.The inhibition of the autophagy may lead to the enhancement of the invasiveness of pituitary adenomas and that inhibition may come from the interaction of Beclin1 and Bcl2.

Objective To explore the value of dual-phase enhanced CT radiomics in predicting post-acute pancreatitis diabetes mellitus(PPDM-A).Methods A total of 145 patients with acute pancreatitis(AP)were retrospectively collected,including 62 patients in PPDM-A group and 83 patients in non-PPDM-A group.The patients were randomly divided into training set and test set at a ratio of 7︰3,the pancreatic parenchyma in arterial phase and venous phase was delineated and the radiomics features were extracted.Vari-ance threshold method,univariate selection method and least absolute shrinkage and selection operator(LASSO)were used to screen radiomics features.The prediction performance of the model was evaluated by the area under the curve(AUC).The DeLong test was used to compare the prediction efficiency between the models,and the calibration curve and decision curve were used to evaluate the prediction efficiency of the model.Results The AUC of arterial phase model,venous phase model,combined arterial venous phase model,clinical model and radiomics combined clinical model in the training set were 0.845,0.792,0.829,0.656 and 0.862,respec-tively.The DeLong test results showed that only the difference between the radiomics combined clinical model and the clinical model in the training set and the test set was statistically significant(P<0.05).The decision curve showed that the radiomics combined clinical model had high clinical practicability in a certain range,and the calibration curve showed that the radiomics combined clinical model had the best fitting degree with the actual observation value.Conclusion Based on the dual-phase enhanced CT radiomics combined clinical model,PPDM-A can be predicted more accurately,and it can provide a certain reference value for the clinical development of per-sonalized treatment programs.

Objective:To explore the method of repairing huge bone and soft tissue defects in clavicle area after en bloc resection of primary malignant tumor of clavicle and the effect of shoulder joint function.Methods:Data of 3 patients with primary malignant tumors of clavicle who underwent en bloc resection (total or subtotal clavicle resection) and individualized repair of bone and soft tissue defects in clavicular region from January 2018 to December 2021 were retrospectively analyzed. All patients were female aged 45, 57 and 14 years old, respectively. Tumor types were osteosarcoma, solitary plasmacytoma and pleomorphic undifferentiated sarcoma. Postoperative adjuvant chemotherapy, shoulder rehabilitation training were performed. Oncological assessment and shoulder joint activity assessment were regularly performed. Musculoskeletal Tumor Society score (MSTS), Constant-Murley scoring and University of California, Los Angeles (UCLA) scoring system were used for functional assessment of shoulder joint.Results:All 3 cases were followed up with follow-up period of 33, 23 and 8 months respectively. No tumor recurrence or metastasis was detected at the last follow up. After tumor resection, one patient with osteosarcoma and one patient with pleomorphic undifferentiated sarcoma underwent reconstruction with clavicular plate and ligament advanced reinforcement system (LARS) ligament. One patient with solitary plasmacytoma underwent LARS ligament reconstruction only after tumor resection. At the latest follow-up, MSTS scores were 28, 30 and 28, Constant-Murley scores were 80, 90 and 84, and UCLA scores were 29, 33 and 30, respectively. No complications occurred during perioperative and postoperative follow-up period.Conclusion:Reconstruction of clavicle and surrounding important ligaments after en bloc resection of primary clavicle malignant tumor is of great significance to the recovery of postoperative shoulder joint function. Satisfactory stability and good shoulder joint function could be obtained after reconstruction of clavicle and sternoclavicular joint.

Objective: To explore the value of quantitative CT radiomics features in predicting the anaplastic lymphoma kinase (ALK) mutation status in lung adenocarcinoma patients. Methods: This retrospective study reviewed one hundred and ninety-five lung adenocarcinoma patients (including 60 patients with ALK mutation) whose ALK genetic test results were available from Nov 2015 to May 2018 in PUMCH. VOIs were labeled by an automatic pulmonary nodule detection and segmentation algorithm and were later revised and confirmed by two senior radiologists. The PyRadiomics tools were used to resample the labeled regions, followed by image pre-processing (Wavelet filter or Laplacian of Gaussian (LoG) filter) and feature extraction. Normalized features were selected based on their representativeness on Dr. Wise research platform. Multivariate logistic regression was performed to develop prediction models of ALK mutation gene based on different image pre-processing techniques and different radiomics feature types. The results were validated by ten runs of five-fold cross validation. ROC curve analysis and Delong test were used to compare the predictive performance among models. Results: Fifteen radiomics features with the highest representativeness were selected from the original 1 232 features. The prediction model based on these radiomics features showed good performance (AUC=0.88 in the training set and 0.78 in the validation set) and was not significantly different from the prediction models based on radiomics features of different pre-processing images (AUC=0.76, P=0.1, original CT images; AUC=0.75, P=0.3, Wavelet-filtered images; AUC=0.76, P=0.2, LoG-filtered images). Among the models built with radiomics features of different types, the one based on GLCM feature (a subtype of texture feature) showed the best performance in predicting ALK genetic status (AUC=0.83, accuracy=0.74, sensitivity=0.85 and specificity=0.69). The model based on first-order statistic features had an AUC of 0.80. Conclusion Quantitative CT radiomics features have a good potential to anticipate the expression of ALK fused gene in patients with lung adenocarcinoma.