Decision tree models combining Bi-parametric vesical imaging reporting and data system and apparent diffusion coefficient metrics for predicting muscle-invasive bladder cancer

The 25th percentile and the minimum mean ADC showed similar diagnostic performance for predicting muscle invasion. A decision tree combining bp VI-RADS with ADC measurements may provide an interpretable and clinically applicable approach, particularly for bp VI-RADS 4 lesions.

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Publication Details

Journal
Abdominal Radiology
Published
2026-01-23
DOI
https://doi.org/10.1007/s00261-026-05389-1
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Decision tree models combining Bi-parametric vesical imaging reporting and data system and apparent diffusion coefficient metrics for predicting muscle-invasive bladder cancer

Emika Murasawa, Toshiki Murata, H Nanjo, S. Narita et al.
Abdominal Radiology
Bladder and Urothelial Cancer Treatments
article

Decision tree models combining Bi-parametric vesical imaging reporting and data system and apparent diffusion coefficient metrics for predicting muscle-invasive bladder cancer

Emika Murasawa, Toshiki Murata, H Nanjo, S. Narita, Kento Hatakeyama, Motoko Konno, T. Habuchi, Naoko Mori, T. Sato, Daichi Sugawara, Tomoki Tozawa
article en

Abstract

The 25th percentile and the minimum mean ADC showed similar diagnostic performance for predicting muscle invasion. A decision tree combining bp VI-RADS with ADC measurements may provide an interpretable and clinically applicable approach, particularly for bp VI-RADS 4 lesions.

Abdominal Radiology
Akita University (JP), Akita University Hospital (JP)
Openalex Percentile: Top 80%
Bladder and Urothelial Cancer Treatments
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