# Advanced CMR Tissue-Based Prediction of Right Ventricular Dysfunction and Revascularization Response

> **NIH NIH K23** · WEILL MEDICAL COLL OF CORNELL UNIV · 2021 · $169,288

## Abstract

PROJECT SUMMARY / ABSTRACT
This K23 application for Dr. Jiwon Kim will enable her to develop as an independent clinical investigator focused
on the use of novel imaging strategies to improve risk stratification among patients with heart failure and coronary
artery disease (CAD). A K23 award will allow Dr. Kim to attain expertise in 3 areas: (1) new cardiac MRI (CMR)
approaches for improved tissue characterization of the right ventricle (RV), (2) advanced echocardiography
techniques to be applied for the RV in population based studies, (3) principles of clinical investigation needed to
initiate independent design and execution of sophisticated research protocols. To pursue these goals, Dr. Kim
has assembled a multidisciplinary mentoring team. Her primary mentor, Dr. Weinsaft, is the principal investigator
of the R01 to which this K23 is paired and has extensive research experience in CMR assessment of myocardial
tissue properties. Dr. Wang is a co-mentor with an established track record in high-resolution CMR pulse
sequence development. Dr. Devereux is a secondary co-mentor with expertise in cardiac ultrasound and
epidemiology. The goal of Dr. Kim's K23 research is to identify myocardial tissue-based markers of RV
dysfunction among CAD patients. RV dysfunction occurs in up to 40% of patients with CAD and has been shown
to independently increase risk of death. Altered myocardial tissue properties is a potential causative substrate
for RV dysfunction but has not yet been studied in this context due to limited ability to visualize infarction in the
thin RV wall. New high-resolution techniques (3D navigator CMR) including those that have the possibility to be
tailored for the RV (RV epicardial fat navigator) may improve RV tissue characterization. To test these concepts,
150 patients with CAD undergoing stress CMR pre- and post- revascularization will be studied. Stress CMR will
be used to determine relationships between left and right ventricular tissue properties (ischemia and infarction)
and RV function (Aim 1). To optimize RV myocardial infarction (RV-MI) detection, the RV will be assessed using
standard 2D CMR and new 3D CMR technologies (RV epicardial fat navigator) (Aim 2). To test the concept that
revascularization may improve RV function, RV-MI will be studied as a marker for irreversible RV dysfunction:
RV-MI will be used to predict RV functional improvement following coronary revascularization (Aim 3A). Lastly,
to study the impact of RV-MI on functional consequences, RV-MI will be studied in relation to effort tolerance on
cardiopulmonary exercise testing (Aim 3B). This training and research plan will leverage existing
multidisciplinary collaborations and institutional resources including Dr. Weinsaft's R01 from which imaging data
will be drawn and the Cornell Clinical Translational Science Center through which a Master's degree will be
obtained in Clinical Investigation. Finally, this research will inform future R01 applications, which wil...

## Key facts

- **NIH application ID:** 10074150
- **Project number:** 5K23HL140092-04
- **Recipient organization:** WEILL MEDICAL COLL OF CORNELL UNIV
- **Principal Investigator:** Jiwon Kim
- **Activity code:** K23 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $169,288
- **Award type:** 5
- **Project period:** 2017-12-15 → 2022-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10074150

## Citation

> US National Institutes of Health, RePORTER application 10074150, Advanced CMR Tissue-Based Prediction of Right Ventricular Dysfunction and Revascularization Response (5K23HL140092-04). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10074150. Licensed CC0.

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