# International Consortium for Multimodality Phenotyping in Adults with Non-compaction

> **NIH NIH R01** · STANFORD UNIVERSITY · 2021 · $733,266

## Abstract

Summary
Non-compaction cardiomyopathy (NCCM) is a heterogeneous, poorly understood disorder characterized by a
prominent inner layer of loose myocardial tissue. Patients with NCCM are at increased risk of heart failure, stroke,
severe rhythm irregularities and death. Current imaging techniques cannot differentiate pathological from benign
hypertrabeculation. In addition, current echo/MRI-based criteria of NCCM lead to over-diagnosis of NCCM,
provide no prognostic value, and lead to implantation of defibrillators (ICD) and the use of anticoagulation without
a positive benefit in many otherwise healthy individuals with non-compacted myocardium. For a growing
population diagnosed with NCCM there is an urgent need for better risk stratification to appropriately allocate (or
safely withhold) these impactful preventive measures. Our international consortium combines expertise in
myocardial disease, cardiac imaging and advanced computer analytics from 5 centers dedicated to the care of
patients with cardiomyopathies, and has the ultimate goal to improve care of patients with non-compaction
cardiomyopathy. We hypothesize that comprehensive analysis of clinical, genetic, structural and functional
information will improve risk stratification. In addition, we hypothesize that detailed structural analysis will allow
for differentiation of pathological and benign patterns of non-compaction. In a large cohort of adult patients with
suspected NCCM we will perform in-depth phenotyping, including clinical information, pedigree data, genetics,
echocardiography and MRI, and follow patients for up to 3 years. We will apply machine-learning based analytics
to develop predictive models and compare their performance to currently used models and treatment criteria.
Secondly, in a subset of patients we will perform high-resolution cardiac CT for detailed structural
characterization of the myocardial wall. Novel analytical methods will be developed to characterize the 3D
architectural complexity based on pathophysiological hypothesis, but also using hypothesis-free analyses of raw
images using deep learning techniques. In addition, we will investigate associations between myocardial
structure and regional contractile function, as assessed by echo and MRI. The aim of this proposal is to identify
a structural signature associated with pathological non-compaction and improve developed risk prediction
models. This international consortium dedicated to NCCM will be the first to collect genetic and multi-modality
imaging data. Discovery of pathological structural signatures through innovative imaging techniques, in relation
to myocardial contractility, will advance our understanding of NCCM. There is an urgent clinical need for
diagnostic techniques that detect pathological non-compaction and identify patients at risk of devastating
complications. This study is clinically relevant because the developed predictive models may permit more
effective, personalized preventive care in...

## Key facts

- **NIH application ID:** 10218265
- **Project number:** 5R01HL146754-02
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Koen Nieman
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $733,266
- **Award type:** 5
- **Project period:** 2020-07-16 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10218265

## Citation

> US National Institutes of Health, RePORTER application 10218265, International Consortium for Multimodality Phenotyping in Adults with Non-compaction (5R01HL146754-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10218265. Licensed CC0.

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