1. Endometrial cancer risk stratification using MRI radiomics: corroborating with choline metabolism
- Author
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Yenpo Lin, Ren-Chin Wu, Yu-Chun Lin, Yen-Ling Huang, Chiao-Yun Lin, Chi-Jen Lo, Hsin-Ying Lu, Kuan-Ying Lu, Shang-Yueh Tsai, Ching-Yi Hsieh, Lan-Yan Yang, Mei-Ling Cheng, Angel Chao, Chyong-Huey Lai, and Gigin Lin
- Subjects
Endometrial carcinoma ,Diffusion-weighted imaging ,Diagnostic accuracy ,Magnetic resonance imaging ,Magnetic resonance spectroscopy ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background and purpose Radiomics offers little explainability. This study aims to develop a radiomics model (Rad-Score) using diffusion-weighted imaging (DWI) to predict high-risk patients for nodal metastasis or recurrence in endometrial cancer (EC) and corroborate with choline metabolism. Materials and methods From August 2015 to July 2018, 356 EC patients were enrolled. Rad-Score was developed using LASSO regression in a training cohort (n = 287) and validated in an independent test cohort (n = 69). MR spectroscopy (MRS) was also used in 230 patients. Nuclear MRS measured choline metabolites in 70 tissue samples. The performance was compared against European Society for Medical Oncology (ESMO) risk groups. A P
- Published
- 2024
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