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Objective:To evaluate the feasibility of a predictire model composed of non-specific test indexes in early diagnosis of gastric cancer.Methods:From the database of electronic medical record system of Shanghai Changhai Hospital, a total of 24 615 case records were included from January 1, 2010 to April 30, 2019, including 10 497 cases of gastric cancer, 5 198 cases of precancerous diseases, and 8 920 cases of health examination. Through stratified random sampling, the study population was divided into validation set, training set and test set. After data processing and quality control for all laboratory variables, the optimal machine learning algorithm and diagnostic efficiency grouping were selected through four machine learning algorithms, induding the gradient boosting decision tree, random forest, support vector machine, and artificial neural network, and the data were trained by backward stepwise regression method to build the best feature model.Result:In this study, a diagnostic model V22 consisting of 22 routine testing parameters was established. V22 could distinguish early gastric cancer from control group composed of healthy group and precancerous disease, AUC was 0.808, the sensitivity was 85.7%, and the specificity was 91.9%. For CEA negative gastric cancer, V22 also showed high diagnostic accuracy, AUC was 0.801.Conclusion:V22 was a valuable model for the diagnosis of gastric cancer. V22 was an auxiliary diagnostic model of gastric cancer with clinical application value, which could well distinguish early gastric cancer from the control group composed of healthy group and precancerous disease, and the detection rate of early gastric cancer was better than the traditional tumor marker CEA.
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The Hedgehog (HH) signaling pathway plays important roles in gastrointestinal carcinogenesis and the gastrointestinal tumor microenvironment (TME). Aberrant HH signaling activation may accelerate the growth of gastrointestinal tumors and lead to tumor immune tolerance and drug resistance. The interaction between HH signaling and the TME is intimately involved in these processes, for example, tumor growth, tumor immune tolerance, inflammation, and drug resistance. Evidence indicates that inflammatory factors in the TME, such as interleukin 6 (IL-6) and interferon-
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Objective To explorer the safety of D2 lymphadenectomy in open distal gastrectomy for distal gastric cancer with the surgical approach from bottom to top,from left to right and from surrounding to middle.Methods 100 advanced distal gastric cancer patients selected from General Surgery Department of Chang Hai Hospital from December 2012 to November 2013 were analyzed retrospectively.All the patients were performed D2 lymphadenectomy in open distal gastrectomy with surgical approach from bottom to top,from left to right and from surrounding to middle.The operation time,amount of bleeding,the number of lymph nodes,postoperative complications and follow-up observation were recorded.Ruselts All patients had successful operation.The operation time was 90 to 190 mins,the average (125.00 ± 21.43) mins;intraoperative blood was 90 to 400 ml,the average (178.00 ± 73.74) ml;number of lymph node dissection was 17 to 41,the average (26.00 ± 6.72).One patient suffered from abdominal hemorrhage,recoverd and discharged after conservative treatment.Conclusions Surgical approach from bottom to top,from left to right and from surrounding to middle can improve the safety of D2 lymphadenectomy for distal gastric cancer.
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One of the core tasks assigned to clinical teachers is to enable students to accurately assign a diagnostic label.The strengths and weaknesses of different approaches to clinical reasoning will be examined using one of the core divides between various models of analytic versus non-analytic as an orienting framework.Clinical teachers should stress the importance of both forms of reasoning,thereby enabling students to marshal reasoning processes in a flexible and context-specific manner.
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0.05).There was significant difference in lymph node metastatic rate between poorly-differentiated and undifferentiated adenocarcinoma(17.83%) compared with well-differentiated and middle-differentiated adenocarcinoma(1.58%)(P