Predictive Potential of Contrast-Enhanced MRI-Based Delta-Radiomics for Chemoradiation Responsiveness in Muscle-Invasive Bladder Cancer

<b>Background/Objectives</b>: Delta-radiomics involves analyzing feature variations at different acquisition time-points. This study aimed to assess the utility of delta-radiomics feature analysis applied to contrast-enhanced (CE) and non-contrast-enhanced (NE) T1-weighted images (WI) in predicting...

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Autori principali:	Kohei Isemoto, Yuma Waseda, Motohiro Fujiwara, Koichiro Kimura, Daisuke Hirahara, Tatsunori Saho, Eichi Takaya, Yuki Arita, Thomas C. Kwee, Shohei Fukuda, Hajime Tanaka, Soichiro Yoshida, Yasuhisa Fujii
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-03-01
Serie:	Diagnostics
Soggetti:	chemoradiotherapy contrast media machine learning magnetic resonance imaging urinary bladder neoplasms
Accesso online:	https://www.mdpi.com/2075-4418/15/7/801
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