This study aims to predict expression of Ki67 molecular marker in pancreatic cystic neoplasm using radiomics. We firstly manually segmented tumor area in multi-detector computed tomography (MDCT) images. Then 409 high-throughput features were automatically extracted and the least absolute shrinkage selection operator (LASSO) regression model was used for feature selection. After 200 bootstrapping repetitions of LASSO, 20 most frequently selected features made up the optimal feature set. Then 200 bootstrapping repetitions of support vector machine (SVM) classifier with 10-fold cross-validation were used to avoid overfitting and accurately predict the Ki67 expression. The highest prediction accuracy could achieve 85.29% and the highest area under the receiver operating characteristic curve (AUC) was 91.54% with a sensitivity (SENS) of 81.88% and a specificity (SPEC) of 86.75%. According to the results of experiment, the feasibility of predicting expression of Ki67 in pancreatic cystic neoplasm based on radiomics was verified.
Objective To review the research status of gelatin (Gel) composite material in promoting peripheral nerve regeneration (PNR), and point out the current shortcomings and future research directions. Methods Domestic and foreign literature related to Gel composites used in PNR was extensively reviewed, and the material characteristics, mechanism, and experimental effects were systematically analyzed from the structure types of nerve guide conduit (NGC), hydrogel, scaffold, film, and nanofiber bundle. Results Gel composites can improve the biocompatibility, mechanical properties, slow release, and conductivity of NGC, hydrogel, and scaffolds, promote the survival and proliferation of Schwann cells and adipose-derived stem cells, and facilitate the repair of long-distance peripheral nerve injury. The membrane made of Gel composites can reduce the scar formation at the nerve anastomosis, and the nanofiber bundle can help to restore the direct connection of the nerve stump. However, there are also challenges such as insufficient clinical transformation and determination of the best Gel composite scheme. Conclusion Gel composites show good application potential in PNR, but the optimal material ratio, clinical transformation scheme, and long-term effectiveness still need further study.