# Patient-Specific Coronary Hemodynamics by 3D Printing

> **NIH NIH R01** · WEILL MEDICAL COLL OF CORNELL UNIV · 2022 · $640,399

## Abstract

ABSTRACT. Despite improvements in therapies targeted at reducing disease burden, CAD continues to afflict
>16 million US adults, accounting for more than 1/3 of all deaths and responsible for ~1.2 million
hospitalizations annually. Coronary revascularization remains a mainstay of treatment for CAD, with >1.2
million percutaneous interventions performed annually in the US. Prior multicenter trials have demonstrated
propitious outcomes for individuals with who undergo ischemia-guided revascularization by fractional flow
reserve (FFR)—an invasive “gold” standard that determines the physiologic significance of coronary stenoses.
More recently we have studied the accuracy of a non-invasive CT-based alternative to FFR, termed FFRCT.
While this new method is moderately accurate, it possesses several limitations such as assuming the walls of
the coronaries are rigid and flow is non-pulsatile. Therefore, we have determined an alternative approach to
assessing coronary hemodynamics via 3D printing, which allows physical measurements of coronary flow
using realistic tissue mechanics and pulsatile flow. In this application, we will optimize the hardware, software,
workflows, and analysis to build and evaluate coronary hemodynamics based on patient CT images.
Extensive clinical imaging data, including 15O-H2O labeled PET imaging will be used to validate the accuracy of
these models for predicting coronary hemodynamics. Finally, these 3D printed models will be used to develop
clinically useful reports that can provide diagnostic determination of a patient's level of ischemia using only
non-invasive CT imaging.

## Key facts

- **NIH application ID:** 10386845
- **Project number:** 5R01HL118019-09
- **Recipient organization:** WEILL MEDICAL COLL OF CORNELL UNIV
- **Principal Investigator:** Simon Dunham
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $640,399
- **Award type:** 5
- **Project period:** 2013-09-01 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10386845

## Citation

> US National Institutes of Health, RePORTER application 10386845, Patient-Specific Coronary Hemodynamics by 3D Printing (5R01HL118019-09). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10386845. Licensed CC0.

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