Radiomic analysis of quantitative T2-mapping and conventional MRI in predicting histologic grade of bladder cancer
Motivation: MpMRI has been extensively used for the local staging of bladder cancer (BCa), it is worth using mpMRI for the preoperative evaluation of the pathological grade.Goal(s): We explored the added value of a radiomics based on quantitativeT2-mapping and conventional MRI to evaluate the histologic grade of BCa pre-operatively. Approach: Pelvic MRI including T2-mapping and diffusion-weighted imaging before any treatment were analyzed. We constructed different prediction models using mean signal values and radiomic features from both T2-mapping and apparent diffusion coefficient (ADC) maps. Results: Radiomics could provide more information than direct evaluation of T2 and ADC values in differentiating histological grades of BCa. Impact: Our observation of significantly improved performance using the radiomics model suggests that it incorporates tumor appearance, margin, and texture features, making it more representative of tumor characteristics. The incorporation of this model provides valuable additional information for BCa management.
Authors
- Lei Ye (ORCID: https://orcid.org/0000-0002-2780-9374)
- Yuntian Chen (ORCID: https://orcid.org/0000-0002-3816-1518)
- Jin Yao (ORCID: https://orcid.org/0000-0003-3028-9370)
- Bin Song
- Wanxin Xiang
- Xiaoxiao Zhang (ORCID: https://orcid.org/0000-0002-0093-2612)
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/10.58530/2024/4400
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00