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.

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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
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article

Radiomic analysis of quantitative T2-mapping and conventional MRI in predicting histologic grade of bladder cancer

Lei Ye, Yuntian Chen, Jin Yao, Bin Song et al.
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

Radiomic analysis of quantitative T2-mapping and conventional MRI in predicting histologic grade of bladder cancer

Lei Ye, Yuntian Chen, Jin Yao, Bin Song, Wanxin Xiang, Xiaoxiao Zhang
article en

Abstract

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.

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
Good health and well-being
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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