MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer

MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer

Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral resection vs. radical cystectomy vs. bladder preservation). However, currently, about one-third of patients are over-staged and one-third are under-staged. There is a pressing need for a more accurate st...

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Bibliographic Details
Main Authors: Touseef Ahmad Qureshi, Xingyu Chen, Yibin Xie, Kaoru Murakami, Toru Sakatani, Yuki Kita, Takashi Kobayashi, Makito Miyake, Simon R. V. Knott, Debiao Li, Charles J. Rosser, Hideki Furuya
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:International Journal of Molecular Sciences
Subjects:
bladder cancer
radiogenomics
artificial intelligence
MRI
RNA-seq
Online Access:https://www.mdpi.com/1422-0067/25/1/88

Internet

https://www.mdpi.com/1422-0067/25/1/88

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