| Autor: |
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, Gigin Lin |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Cancer Imaging, Vol 24, Iss 1, Pp 1-11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1470-7330 |
| DOI: |
10.1186/s40644-024-00756-x |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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