Effects of MRI radiomics combined with clinical data in evaluating lymph node metastasis in mrT1-3a staging rectal cancer

Frontiers in Oncology

Oncology

Yaqiong Ge¹  Shaofeng Duan¹  Huifang Yong²  Qiufeng Yin³  Gang Ren³  Shijun Yuan³  Xue Dong³  Zhongyang Zhang³  Dengbin Wang³  Huanhuan Liu³  Yanhong Chen³  Tingting Zhang³ 

[1] Department of Medicine, GE Healthcare China, Shanghai, China;Department of Radiology, Integrated Traditional Chinese and Western Medicine Hospital, Shanghai, China;Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;

关键词: rectal cancer;    magnetic resonance imaging;    radiomics;    lymph node;    metastasis;   

DOI  :  10.3389/fonc.2023.1194120

 received in 2023-03-26, accepted in 2023-09-22,  发布年份 2023

来源: Frontiers

【 摘 要 】

ObjectiveTo investigate the value of a clinical-MRI radiomics model based on clinical characteristics and T2-weighted imaging (T2WI) for preoperatively evaluating lymph node (LN) metastasis in patients with MRI-predicted low tumor (T) staging rectal cancer (mrT1, mrT2, and mrT3a with extramural spread ≤ 5 mm).MethodsThis retrospective study enrolled 303 patients with low T-staging rectal cancer (training cohort, n = 213, testing cohort n = 90). A total of 960 radiomics features were extracted from T2WI. Minimum redundancy and maximum relevance (mRMR) and support vector machine were performed to select the best performed radiomics features for predicting LN metastasis. Multivariate logistic regression analysis was then used to construct the clinical and clinical-radiomics combined models. The model performance for predicting LN metastasis was assessed by receiver operator characteristic curve (ROC) and clinical utility implementing a nomogram and decision curve analysis (DCA). The predictive performance for LN metastasis was also compared between the combined model and human readers (2 seniors).ResultsFourteen radiomics features and 2 clinical characteristics were selected for predicting LN metastasis. In the testing cohort, a higher positive predictive value of 75.9% for the combined model was achieved than those of the clinical model (44.8%) and two readers (reader 1: 54.9%, reader 2: 56.3%) in identifying LN metastasis. The interobserver agreement between 2 readers was moderate with a kappa value of 0.416. A clinical-radiomics nomogram and decision curve analysis demonstrated that the combined model was clinically useful.ConclusionT2WI-based radiomics combined with clinical data could improve the efficacy in noninvasively evaluating LN metastasis for the low T-staging rectal cancer and aid in tailoring treatment strategies.

【 授权许可】

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Copyright © 2023 Dong, Ren, Chen, Yong, Zhang, Yin, Zhang, Yuan, Ge, Duan, Liu and Wang