AI Assisted Screening for VHD Using Routine Chest CT Scans (ARTEMIS)
Artificial-Intelligence Assisted Opportunistic Screening for Valvular Heart Disease Using Non-contrast Chest CT Scans: A Prospective, Multicenter Study
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.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
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 from individuals in physical examination and outpatient clinics within a hospital alliance.
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.
Participants from the target populations will undergo a routine non-contrast chest CT scan. The deep learning model will analyze these images in real-time. For those identified by the model as having moderate-to-severe heart valve disease, a confirmatory echocardiogram will be performed immediately. The echocardiogram results will serve as the reference standard for diagnosis. Statistical analyses will be performed to assess the model's performance against this reference, including calculating the 95% confidence interval for the AUC.
As this study only involves standard, low-radiation diagnostic imaging procedures (non-contrast CT and echocardiography) that are part of routine clinical care, it is considered to pose no additional relevant safety risks to participants. The total study duration is estimated to be 12 months.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Jian'an Wang, MD
- Phone Number: +86-571-8778-4808
- Email: wangjianan111@zju.edu.cn
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China
- Recruiting
- Renmin Hospital of Wuhan University
-
Contact:
- Jing Chen, MD
- Phone Number: +86-13659840327
- Email: 364580342@qq.com
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-
Xinjiang
-
Ürümqi, Xinjiang, China
- Recruiting
- Xinjiang Uygur Autonomous Region People's Hospital
-
Contact:
- Yining Yang, MD
- Phone Number: +86-13199860611
- Email: yangyn5126@163.com
-
-
Zhejiang
-
Hangzhou, Zhejiang, China
- Recruiting
- The Second Affiliated Hospital of Zhejiang University School of Medicine
-
Contact:
- Xianbao Liu, MD
- Phone Number: +86-13857173887
- Email: liuxb@zju.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥ 18 years.
- Complete electronic health record.
- Non-contrast chest CT performed between Nov 1, 2025 - Nov 1, 2026 in any medical context (including physical exam, outpatient, inpatient, or emergency).
- AI-predicted moderate or severe valvular heart disease, or deemed to require clinical intervention, or selected negative cases from sampling verification.
Exclusion Criteria:
- Poor-quality non-contrast chest CT images.
- Incomplete clinical records, involving severe deficiencies in critical diagnostic results, treatment records, imaging data, surgical records, medical history summaries, laboratory test results, or other essential medical information.
- Presence of prosthetic valve implants, including aortic valves (mechanical valves, bioprosthetic valves), mitral valves (transcatheter edge-to-edge repair, bioprosthetic valves, mechanical valves, annuloplasty rings), tricuspid valves (TEER clipping, bioprosthetic valves, mechanical valves, annuloplasty rings), pulmonary valves (bioprosthetic valves), etc.
- Abnormalities or conditions deemed by the investigator to warrant exclusion from the study enrollment.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity
Time Frame: 1 year
|
Sensitivity: Measures the proportion of patients with moderate-to-severe disease that the model correctly identifies.
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Area Under the Receiver Operating Characteristic Curve (AUC)
Time Frame: 1 year
|
AUC for a model distinguishing valvular disease severity.
The AUC value for this model would indicate how well it can correctly identify patients with moderate-to-severe disease from those with normal-to-mild disease.
|
1 year
|
|
Accuracy
Time Frame: 1 year
|
Accuracy: Measures the overall proportion of all patients that the model correctly classifies into either group.
|
1 year
|
|
Specificity
Time Frame: 1 year
|
Specificity: Measures the proportion of patients with normal-to-mild disease that the model correctly identifies.
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2025-1250
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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