Radiomics analysis of intratumoral and different peritumoral regions from multiparametric MRI for evaluating HER2 status of breast cancer: A comparative study

作者：Jing Zhou, Xuan Yu, Qingxia Wu, Yaping Wu, Cong Fu, Yunxia Wang, Menglu Hai, Hongna Tan, Meiyun Wang · 发表于：Heliyon · 年份：2024 · DOI：10.1016/j.heliyon.2024.e28722 · 被引用次数：22 · 研究领域：Radiomics and Machine Learning in Medical Imaging、MRI in cancer diagnosis、Breast Cancer Treatment Studies

Purpose To investigate the potential of radiomics signatures (RSs) from intratumoral and peritumoral regions on multiparametric magnetic resonance imaging (MRI) to noninvasively evaluate HER2 status in breast cancer. Method In this retrospective study, 992 patients with pathologically confirmed breast cancers who underwent preoperative MRI were enrolled. The breast cancer lesions were segmented manually, and the intratumor region of interest (ROI Intra ) was dilated by 2, 4, 6 and 8 mm (ROI Peri2mm , ROI Peri4mm , ROI Peri6mm , and ROI Peri8mm , respectively). Quantitative radiomics features were extracted from dynamic contrast-enhanced T1-weighted imaging (DCE-T1), fat‐saturated T2‐weighted imaging (T2) and diffusion-weighted imaging (DWI). A three-step procedure was performed for feature selection, and RSs were constructed using a support vector machine (SVM) to predict HER2 status. Result The best single-area RSs for predicting HER2 status were DCE_Peri4mm-RS, T2_Peri4mm-RS, and DWI_Peri4mm-RS, yielding areas under the curve (AUCs) of 0.716 (95% confidence interval (CI), 0.648–0.778), 0.706 (95% CI, 0.637–0.768), and 0.719 (95% CI, 0.651–0.780), respectively, in the test set. The optimal RSs combining intratumoral and peritumoral regions for evaluating HER2 status were DCE-T1_Intra + DCE_Peri4mm-RS, T2_Intra + T2_Peri6mm-RS and DWI_Intra + DWI_Peri4mm-RS, with AUCs of 0.752 (95% CI, 0.686–0.810), 0.754 (95% CI, 0.688–0.812) and 0.725 (95% CI, 0.657–0.786), respectively, in...