Condition: Heart Valve Diseases · Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
This is a prospective, multicenter study designed to validate a deep learning model for screening valvular heart diseases using routine, non-contrast chest computed tomography (CT) scans. The primary objective is to evaluate the model's diagnostic performance, with the sensitivity serving as the primary efficacy endpoint. Secondary endpoints will include other performance metrics such as area under the receiver operating characteristic curve (AUC), specificity, and accuracy, etc.
This description comes directly from the study's public registry record.
Jian'an Wang, MD · +86-571-8778-4808 · wangjianan111@zju.edu.cn
Always discuss trial participation with your own doctor first.
| Renmin Hospital of Wuhan University | Wuhan, Hubei, China | Recruiting |
| Xinjiang Uygur Autonomous Region People's Hospital | Ürümqi, Xinjiang, China | Recruiting |
| The Second Affiliated Hospital of Zhejiang University School of Medicine | Hangzhou, Zhejiang, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07449130