Computer assisted coronary artery stent interventions Summary When treating highly calcified coronary artery lesions with stents, interventional cardiologists, with limited information, make stressful treatment decisions, which can lead to inadequate stent deployment and poor outcomes, or even rare calamitous events. When calcification is present, a cardiologist must choose to use a normal sized angioplasty balloon; a larger angioplasty balloon with increasingly high, prolonged pressures to fracture the calcification; a scoring or cutting balloon; any one of a number of atherectomy devices; and/or stent post-dilation balloon pressures up to 30 atm. The cardiologist must choose stent diameter and length, taking into account distal artery size, vessel taper, and extent (arc length and thickness) of calcification. Some potential negative consequences are that a stent can under deploy and/or have malapposed struts; a balloon can rupture; a vessel can dissect; or an atherectomy device can perforate the wall. Intravascular optical coherence tomography (IVOCT) evaluations of stent deployment show that large eccentric calcifications often lead to under deployment with malapposition of struts and small vessel dissections. To address these challenges, specific aims are: 1) Develop methods for imaging/quantifying calcifications in pre-stent images. 2) Perform ex vivo experiments to obtain detailed biomechanical data and demonstrate key issues in stent deployment. 3) Develop well-validated, lesion specific FEM models. 4) Use in silico experiments and physical measurements to elucidate issues in stent deployment and establish guidelines for treatment. With success, the project will lead to future decision-support software for live-time treatment planning from IVOCT or other imaging modalities. The project team will build on expertise in interventions, quantitative image analysis of IVOCT, and finite element modeling.

Public Health Relevance

It is difficult for a cardiologist to optimally treat a coronary artery stenosis when there are large calcifications in the artery wall. We will develop imaging and systematic biomechanical analyses to create guidelines for the myriad of treatment strategies (e.g., atherectomy and very high balloon pressures) open to cardiologists. With success, our work could lead to live time decision support software for treatment planning to improve long-term stent outcomes.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL143484-03
Application #
9939645
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Fenton, Kathleen Nelle
Project Start
2018-07-01
Project End
2022-05-31
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Case Western Reserve University
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Dong, Pengfei; Prabhu, David; Wilson, David L et al. (2017) OCT-BASED THREE DIMENSIONAL MODELING OF STENT DEPLOYMENT. Int Mech Eng Congress Expo 3: