4D flow MRI to predict outcomes in Type B aortic dissection

Who could benefit from this research

What this research studies

This project uses 4D flow MRI to measure heart and blood flow dynamics in people with Type B aortic dissection to identify which patients are at higher risk of adverse outcomes after treatment. We will compare flow patterns, energic metrics, and blood movement between true and false lumens, and see how these relate to outcomes after TEVAR. The goal is to develop clearer imaging biomarkers that clinicians can use to tailor treatment timing and strategies. The study builds on prior findings that 4D flow MRI can quantify flow and hemodynamics in TBAD, and will address barriers like measurement accuracy and reproducibility to enable clinical use.

Why it matters

Where this research is happening

• Northwestern University
  Chicago, United States Active

Researchers

• Principal investigator: Allen, Bradley David — Northwestern University
• Study coordinator: Allen, Bradley David

Related research

Other NIH-funded projects on the same topics.

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  This study is looking at how a special type of MRI can help doctors understand blood flow in patients with Type B aortic dissection, so they can better predict risks and improve treatment plans for those affected.

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• Improving Outcomes in Vascular Disease for Aortic Dissection: Upfront TEVAR vs Surveillance

  A large US study will compare starting treatment with a repair procedure plus medicine to medicine alone with careful follow-up in people with uncomplicated type B aortic dissection.

  NIH research Duke University · Durham, United States · NIH-11605968

• Improving Outcomes in Aortic Dissection: Upfront TEVAR vs Surveillance (IMPROVE-AD) for Uncomplicated Type B Dissection

  A large, patient-friendly study will compare starting with medicine plus an upfront TEVAR procedure versus medicine with careful monitoring for people with uncomplicated type B aortic dissection.

  NIH research Duke University · Durham, United States · NIH-11605967

• Platelet markers and blood flow to predict recurrent stroke in intracranial artery disease

  Researchers will look at how a platelet protein (FcγRIIa) and blood flow patterns from CT angiography predict who might have another stroke after a minor stroke or TIA caused by intracranial artery disease.

  NIH research University of Southern California · Los Angeles, UNITED STATES · NIH-11504575

• Statistical methods to link high-dimensional heart-surgery data with outcomes

  This grant tests advanced data methods to find links between detailed intraoperative heart-surgery measurements and patient outcomes after procedures like CABG.

  NIH research Johns Hopkins University · Baltimore, United States · NIH-11448221

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.