ArticleMedComm2026
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 and 6 more
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In one paragraphArticle in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 · Who and what moneyAuthors and funding
16 authors.
Min LiuDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Yiwen YuDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Xuebin ZouDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Ying LiaoDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Lichao MouMedAI Technology (Wuxi) Co., Ltd Wuxi China.
Xing ZhaoMedAI Technology (Wuxi) Co., Ltd Wuxi China.
Juan FuDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Lina TangDepartment of Diagnostic Ultrasound Fujian Cancer Hospital and Fujian Medical University Cancer Hospital Fuzhou China.
Xiaomao LuoDepartment of Medical Ultrasound Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University Kunming China.
Guangjian LiuDepartment of Ultrasound The Sixth Affiliated Hospital Sun Yat-Sen University Guangzhou China.
Fang LiDepartment of Ultrasound School of Medicine Chongqing University Cancer Hospital Chongqing University Chongqing China.
Jingliang HuMedAI Technology (Wuxi) Co., Ltd Wuxi China.
Anhua LiDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Jianwei WangDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Ruohan GuoDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.
Jianhua ZhouDepartment of Ultrasound State Key Laboratory of Oncology in South China Sun Yat-Sen University Cancer Center Guangdong Provincial Clinical Research Center for Cancer Guangzhou China.ORCID https://orcid.org/0000-0003-2096-8126 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
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 study, 538 LARC patients from five hospitals were enrolled and divided into training (
Indexed as
3D transrectal ultrasoundautomatic segmentationdeep learningneoadjuvant therapypathological complete responserectal cancer
Identifiers
PMID42719695
PMCPMC13555799
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