NIH-funded research R01 grant

How aorta shape affects dissection risk and stability

Official title: A Geometric and Morphoelastic Study of Aortic Dissection Evolution

Funded at University of Chicago · NIH-11118801 · Data updated 2026-11-12

This project uses routine CT angiograms and new math to find patterns in aortic shape that help predict which type B aortic dissections are stable or likely to worsen.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Chicago
NIH-funded
Lab location1 site (Chicago, United States)
Project startJuly 1, 2021
Project endJune 30, 2027
Funding year2025
Award (this year)$502,193
NIH project number5R01HL159205-05
Project IDNIH-11118801 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are people with type B aortic dissection who have CT angiography images available or are willing to share their past CTA scans for analysis.

Less likely to help

Patients without CT imaging of the aorta, those with other aortic conditions not related to type B dissection, or individuals whose care does not involve CTA are unlikely to benefit directly from this project.

What this research studies

Researchers will analyze CT angiography scans from people with type B aortic dissection and apply tools from geometry, mechanics, and computer vision to find hidden shape features linked to fragility. They will build image-based algorithms that learn from existing patient scans to classify aortic stability and forecast risk of progression. Models will be trained and tested on clinical imaging data with the goal of producing methods that can work on routine CTAs. The team aims to create a clinically usable tool to help personalize timing of interventions based on a person’s aortic geometry.

Why it matters

Potential benefit: If successful, this work could help predict which type B dissections need earlier intervention and which can be safely monitored, improving personalized care.

How similar studies have gone: Some small studies using biomechanics and imaging have shown promise, but combining advanced differential geometry and computer-vision analysis on large CTA datasets is a relatively new and not-yet-established approach.

Where this research is happening

  • University of Chicago
    Chicago, United States
    Active

Researchers

  • Principal investigator: Pocivavsek, Luka — University of Chicago
  • Study coordinator: Pocivavsek, Luka

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.