CT radiomics based on the peritumoral adipose region of gastric adenocarcinoma for preoperative prediction of lymph node metastasis

作者全名：Ding, Xue-mei; Zhou, Hai-ying; Wang, Yue-su; Cao, Jin-ming; Ou, Jing; Zhang, Xiao-ming; Chen, Tian-wu

作者地址：[Ding, Xue-mei; Zhang, Xiao-ming] Jinan Univ, Clin Coll 1, Guangzhou 510630, Peoples R China; [Ding, Xue-mei; Cao, Jin-ming] Nanchong Cent Hosp, North Sichuan Med Coll, Clin Med Sch 2, Dept Radiol, Nanchong 637000, Sichuan, Peoples R China; [Zhou, Hai-ying; Wang, Yue-su; Ou, Jing; Zhang, Xiao-ming] North Sichuan Med Coll, Affiliated Hosp, Dept Radiol, Med Imaging Key Lab Sichuan Prov, Nanchong 637000, Sichuan, Peoples R China; [Chen, Tian-wu] Chongqing Med Univ, Affiliated Hosp 2, Dept Radiol, 74 Linjiang Rd, Chongqing 400010, Peoples R China; [Zhang, Xiao-ming] North Sichuan Med Coll, Affiliated Hosp, Med Imaging Key Lab Sichuan Prov, 1 Maoyuan South Rd, Nanchong 637000, Sichuan, Peoples R China; [Zhang, Xiao-ming] North Sichuan Med Coll, Affiliated Hosp, Dept Radiol, 1 Maoyuan South Rd, Nanchong 637000, Sichuan, Peoples R China

通信作者：Chen, TW (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Radiol, 74 Linjiang Rd, Chongqing 400010, Peoples R China.; Zhang, XM (通讯作者)，North Sichuan Med Coll, Affiliated Hosp, Med Imaging Key Lab Sichuan Prov, 1 Maoyuan South Rd, Nanchong 637000, Sichuan, Peoples R China.; Zhang, XM (通讯作者)，North Sichuan Med Coll, Affiliated Hosp, Dept Radiol, 1 Maoyuan South Rd, Nanchong 637000, Sichuan, Peoples R China.

来源：EUROPEAN JOURNAL OF RADIOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001220963600001

JCR分区：Q1

影响因子：3.2

年份：2024

卷号：175

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Radiomics; Gastric adenocarcinoma; Lymph node metastasis; Peritumoral analysis

摘要：Purpose: To construct and validate CT radiomics model based on the peritumoral adipose region of gastric adenocarcinoma to preoperatively predict lymph node metastasis (LNM). Methods and Methods: 293 consecutive gastric adenocarcinoma patients receiving radical gastrectomy with lymph node dissection in two medical institutions were stratified into a development set (from Institution A, n = 237), and an external validation set (from Institution B, n = 56). Volume of interest of peritumoral adipose region was segmented on preoperative portal -phase CT images. The least absolute shrinkage and selection operator method and stepwise logistic regression were used to select features and build radiomics models. Manual classification was performed according to routine CT characteristics. A classifier incorporating the radiomics score and CT characteristics was developed for predicting LNM. Area under the receiver operating characteristic curve (AUC) was used to show discrimination between tumors with and without LNM, and the calibration curves and Brier score were used to evaluate the predictive accuracy. Violin plots were used to show the distribution of radiomics score. Results: AUC values of radiomics model to predict LNM were 0.938, 0.905, and 0.872 in the training, internal test, and external validation sets, respectively, higher than that of manual classification (0.674, all P values < 0.01). The radiomics score of the positive LNM group were higher than that of the negative group in all sets (both Pvalues < 0.001). The classifier showed no improved predictive power compared with the radiomics signature alone with AUC values of 0.916 and 0.872 in the development and external validation sets, respectively. Multivariate analysis showed that radiomics score was an independent predictor. Conclusions: Radiomics model based on peritumoral adipose region could be a useful approach for preoperative LNM prediction in gastric adenocarcinoma.

基金机构：Key Project of National Natural Science Foundation of China [82271959]

基金资助正文：<BOLD>Acknowledgements</BOLD> This study was supported by the Key Project of National Natural Science Foundation of China (Grant No. 82271959) .