Using AI to measure aortic size from CT scans

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study compares automated aortic diameter measurements from an AI software (Aorta AIM) with manual measurements made by experienced radiologists or cardiologists using existing CT scans. Researchers will use retrospective CT images collected between January 1, 2016 and August 31, 2025 from multiple hospitals in the United States and Brazil, including whole, thoracic, or abdominal aorta exams with slice thickness ≤ 3 mm. No new scans or procedures are required; the AI and expert measurements will be compared region-by-region, excluding only areas with truncation or poor image quality that prevent reliable measurement. Approximately 250 adult participants (age ≥ 22 at imaging) will be included to test the AI’s consistency and agreement with human readers.

Why it matters

Who can join: the full rules

* Adults ≥22 years at time of imaging
* Studies performed 1 Jan 2016 - 31 August 2025
* CT imaging of the whole, thoracic, or abdominal aorta, with or without contrast enhancement, acquired with any gating protocol (including non-gated)
* Slice thickness ≤ 3mm
* CT imaging in which truncation creates discontinuity within a targeted aortic region, preventing reliable diameter measurement (e.g., cardiac-focused CT acquisitions where an incomplete or absent aortic arch creates discontinuity between the aortic root and the descending thoracic aorta)

  o Partial aortic coverage is not grounds for exclusion. Where truncation affects individual regions, only those specific regions will be excluded from analysis; remaining fully captured regions will be retained for measurement.
* Metal implants \<5cm from aorta (e.g. thoracic stent)
* Prior aortic surgery
* Severe motion artifacts (e.g. \>3mm vessel blurring)
* Congenital aortic anomalies (e.g. coarctation, vascular rings)
* Post-traumatic aortic repairs
* The patient opted out of having their data used for medical research before the date of cross-referencing by the site team

Where it's running

• Innovation Health Services
  Norfolk, Virginia, United States Recruiting
• University of North Carolina at Chapel Hill
  Chapel Hill, North Carolina, United States Not yet recruiting
• Hospital Israelita Albert Einstein
  São Paulo, São Paulo, Brazil Not yet recruiting

Study contacts

• Principal investigator: Scott Flamm — SimonMed Imaging
• Study coordinator: Jack Parker
• Email: jack@aiatella.com
• Phone: 4578313729

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.