Publication
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
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- PubMed
- Retrieved
- Sep 19, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260919-000001
Abstract
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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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- cancerMalignant Rectal Neoplasmdictionary0.60
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