Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram.
Haiming LiRui ZhangRuimin LiWei XiaXiaojun ChenJiayi ZhangSongqi CaiYong'ai LiShuhui ZhaoJinwei QiangWeijun PengYajia GuXin GaoPublished in: European radiology (2021)
• MRI-based radiomic-clinical nomogram is feasible to noninvasively predict residual disease in patients with advanced HGSOC. • The radiomic signature based on MF showed significantly better prediction performance than that based on MV. • The radiomic-clinical nomogram showed a favorable prediction ability with an AUC of 0.803.