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

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
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article

Development and validation of an MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer

Caihong Liang, Xiaodong Ji, Jinxia Zhu, Wen Shen et al.
1 links
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
Radiomics and Machine Learning in Medical Imaging
article

Development and validation of an MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer

Caihong Liang, Xiaodong Ji, Jinxia Zhu, Wen Shen, Ling Liu
article en

Abstract

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.

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
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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