Improving diagnosis of anomalous coronary arteries
Official title: SMART: Speed-up the Diagnosis and Evaluation of anoMalous Coronary ARTery From the Aorta.
Run by IRCCS Policlinico S. Donato · NCT06705751 · Data updated 2026-11-12
This study is testing a new online tool that uses advanced technology to help doctors better diagnose and understand the risks for patients with unusual heart artery conditions.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 6 Years and up |
| Sex | All |
| Enrollment | 38 (estimated) |
| Sponsor | IRCCS Policlinico S. Donato Academic / other |
| Locations | 1 site (San Donato Milanese, Italia) |
| Status | Recruiting |
| Started | September 12, 2024 |
| Main results expected | February 2027 |
| Study ends | February 2027 |
| Registry record updated | October 13, 2026 |
| Trial ID | NCT06705751 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults and pediatric patients over 6 years old with a confirmed diagnosis of anomalous coronary origin from the aorta.
✕Probably not a fit
Patients with acute inflammatory conditions, arrhythmias, or contraindications to autonomic testing may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project aims to enhance the diagnosis and evaluation of anomalous aortic origin of the coronary arteries (AAOCA) using advanced technologies such as machine learning and artificial intelligence. A web-based platform will be developed to process anonymized Computed Tomography Angiography (CTA) images, allowing for automatic segmentation and identification of anomalous coronary origins. The platform will integrate anatomical measurements with clinical data to assess the risk of sudden cardiac death and major ischemic events. This innovative approach seeks to provide a more accurate and personalized risk stratification for patients with AAOCA.
Why it matters
Potential benefit: If successful, this could lead to earlier and more accurate diagnosis of AAOCA, potentially reducing the risk of sudden cardiac events in affected patients.
How similar studies have gone: Other studies utilizing advanced imaging and AI for cardiac conditions have shown promising results, indicating potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult and pediatric patients (age \> 6 years) with anomalous coronary origin from the aorta (AAOCA). * Patients in spontaneous sinus rhythm. * Signed informed consent. Exclusion Criteria: * Patients with acute and chronic inflammatory conditions such as chronic liver disease, chronic kidney failure (creatinine \> 1.5 mg/dl), and thyroid disorders. * Patients with arrhythmias, absence of sinus rhythm. * Contraindications to autonomic testing. * Patients with a known allergy to materials in recording devices. * Female patients who are pregnant.
Where it's running
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IRCCS Policlinico San Donato
San Donato Milanese, Italia, Italy Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.