Development and validation of an MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer
Motivation: There is no appropriate index to assess the prognosis of patients with endometrial cancer after surgery. Goal(s): Our goal was to explore the value of an MRI-based radiomics nomogram in predicting the progression-free survival (PFS) of patients with endometrial cancer. Approach: A nomogram was established using multivariable Cox regression by incorporating significant clinical-pathological predictors and radiomics signatures developed by another least absolute shrinkage and selection operator Cox regression. Results: The nomogram proved itself valuable in predicting PFS. Furthermore, the radiomics nomogram–defined risk stratification was associated with PFS. Impact: The novel nomogram may contribute to the precise stratification of patients with a high risk of progression. Therefore, more active follow-up and adjuvant therapy should be carried out after surgery to prolong and improve the patients' quality of life.
Authors
- Caihong Liang (ORCID: https://orcid.org/0000-0002-8882-1967)
- Xiaodong Ji (ORCID: https://orcid.org/0000-0001-5941-5989)
- Jinxia Zhu
- Wen Shen (ORCID: https://orcid.org/0000-0002-8466-2989)
- Ling Liu
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3597
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00