A study on predicting recurrence of non-muscle-invasive bladder cancer within 2 years using mp-MRI radiomics

Abstract Non-muscle invasive bladder cancer (NMIBC) has a high rate of postoperative recurrence and the efficacy of existing clinical prediction models is limited. This study aimed to combine multiparametric magnetic resonance imaging (mp-MRI) radiomic features with clinical characteristics to const...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Bo Chen, Yueting Zhou, Zhaojiao Li, Junhao Chen, Jieming Zuo, Haifeng Wang, Zhenhui Li, Shi Fu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-10-01
Edice:	BMC Cancer
Témata:	Non-muscle invasive bladder cancer (NMIBC) Multiparametric magnetic resonance Machine learning (ML) Support vector machine (SVM) Recurrence risk
On-line přístup:	https://doi.org/10.1186/s12885-025-14753-1
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!