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A Deep Learning Framework Predicts Rectal Cancer Treatment Response via Pretreatment 3D Transrectal Ultrasound: A Multicenter Study.

Min Liu, Yiwen Yu, Xuebin Zou, Ying Liao, Lichao Mou, Xing Zhao, Juan Fu, Lina Tang, Xiaomao Luo, Guangjian Liu, Fang Li, Jingliang Hu, Anhua Li, Jianwei Wang, Ruohan Guo, Jianhua Zhou

MedCommSep 1, 2026PMID 42719695doi:10.1002/mco2.70982 PMC13555799Journal ArticlepubmedProvenance
Source
PubMed
Retrieved
Sep 19, 2026
Layer
normalized (units and labels harmonized; values unchanged)
Run
ING-PUBMED-20260919-000001
Published

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Accurate prediction of pathological complete response (pCR) following neoadjuvant therapy is crucial for personalized treatment planning in patients with locally advanced rectal cancer (LARC). This study aimed to explore the application of 3D transrectal ultrasound (TRUS) for this purpose. In this…

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