南方医科大学学报2018，Vol.38Issue(1)：55-61,7.
基于放射组学的胃肠道间质瘤分类模型
A radiomics-based model for differentiation between benign and malignant gastrointestinal stromal tumors
摘要
Abstract
Objective To establish a model for discrimination between benign and malignant gastrointestinal stromal tumors (GIST) by analyzing the texture features extracted from computed tomography (CT) images. Methods The CT datasets were collected from 110 patients with GIST (including 80 as the training cohort and 30 as the validation cohort). Feature set reduction was executed with the 0.632+ bootstrap method in the initial feature set followed by stepwise forward feature selection in the feature subset, and the classification model was generated by logistic regression. Results The 6-texture-feature-based classification model successfully discriminated between benign and malignant GIST in both the training and validation cohorts with AUCs of 0.93 and 0.91, sensitivity of 0.88 and 0.87, specificity of 0.85 and 0.86, and accuracy of 0.87 and 0.86 in the two cohorts, respectively. Conclusion This classification model established by radiomics analysis is capable of discrimination between benign and malignant GIST to provide assistance in preoperative diagnosis of GIST.关键词
胃肠道间质瘤/多变量分析/分类模型/放射组学Key words
gastrointestinal stromal tumors/multivariate analysis/classification model/radiomics引用本文复制引用
张文华,陈韬,张明慧,刘平平,卢振泰..基于放射组学的胃肠道间质瘤分类模型[J].南方医科大学学报,2018,38(1):55-61,7.基金项目
广东省自然科学基金(2014A030313316,2016A030313574) （2014A030313316,2016A030313574）
