Analyzing risk factors and constructing a predictive model for superficial esophageal carcinoma with submucosal infiltration exceeding 200 micrometers

Autor:	Yutong Cui, Zichen Luo, Xiaobo Wang, Shiqi Liang, Guangbing Hu, Xinrui Chen, Ji Zuo, Lu Zhou, Haiyang Guo, Xianfei Wang
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Endoscopic submucosal dissection Machine learning Prediction model Shapley additive exPlanations Risk factors Diseases of the digestive system. Gastroenterology RC799-869
Zdroj:	BMC Gastroenterology, Vol 24, Iss 1, Pp 1-14 (2024)
Druh dokumentu:	article
ISSN:	1471-230X
DOI:	10.1186/s12876-024-03442-1
Popis:	Abstract Objective Submucosal infiltration of less than 200 μm is considered an indication for endoscopic surgery in cases of superficial esophageal cancer and precancerous lesions. This study aims to identify the risk factors associated with submucosal infiltration exceeding 200 micrometers in early esophageal cancer and precancerous lesions, as well as to establish and validate an accompanying predictive model. Methods Risk factors were identified through least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. Various machine learning (ML) classification models were tested to develop and evaluate the most effective predictive model, with Shapley Additive Explanations (SHAP) employed for model visualization. Results Predictive factors for early esophageal invasion into the submucosa included endoscopic ultrasonography or magnifying endoscopy> SM1(P
Databáze:	Directory of Open Access Journals
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