QR код

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...

Повний опис

Збережено в:
Автори: 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
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2025-03-01
Серія:Diagnostics
Предмети:
chemoradiotherapy
contrast media
machine learning
magnetic resonance imaging
urinary bladder neoplasms
Онлайн доступ:https://www.mdpi.com/2075-4418/15/7/801
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!

Схожі ресурси