# Low burden transthyretin cardiac amyloidosis on cardiac magnetic resonance: comprehensive phenotyping and distinction from hypertrophic phenocopies

**Authors:** Bethlehem Mengesha, Suman Prabhakar, Gary R Small, Sharon Chih, Rebecca Thornhill, D Ian Paterson

PMC · DOI: 10.1093/ehjimp/qyag038 · European Heart Journal. Imaging Methods and Practice · 2026-02-28

## TL;DR

This study identifies how low-level heart amyloidosis appears on MRI scans and shows how to tell it apart from similar heart conditions.

## Contribution

The study introduces new MRI-based methods to detect and differentiate low-burden ATTR cardiac amyloidosis from similar heart diseases.

## Key findings

- Low-burden ATTR CA primarily affects basal left ventricular segments on MRI.
- ECV and LGE MRI metrics outperform strain-based measures in distinguishing low-burden ATTR CA from HHD and HCM.
- Low-burden ATTR CA has lower event rates compared to higher-burden disease.

## Abstract

Transthyretin cardiac amyloidosis (ATTR CA) is a progressive disease arising from the deposition of amyloid fibrils in the myocardium. Cardiac magnetic resonance (CMR) tissue characterization imaging, including myocardial extracellular volume (ECV) fraction, is used to detect amyloid infiltration, but the identification of early-stage disease is challenging. We sought to describe the phenotype of low burden ATTR CA on CMR and identify imaging features that allow differentiation from potential disease mimickers.

Eighty-three patients with ATTR CA and prior contrast-enhanced CMR were stratified by quartiles of ECV into low (ECV ≤43%) or higher (ECV >43%) burden groups. Global and regional function and myocardial tissue characterization were used to phenotype disease. Receiver operating characteristic analysis was performed to assess the diagnostic performance of CMR for distinguishing low burden ATTR CA from hypertensive heart disease (HHD) and mild hypertrophic cardiomyopathy (HCM). Among 22 patients with low ECV burden, CMR measures of amyloid infiltration predominantly affected the basal left ventricular (LV) segments with progressive involvement of the mid and apical regions at higher ECV. Global myocardial late gadolinium enhancement (LGE) and ECV showed high accuracy for differentiating low burden ATTR CA from HHD and mild HCM, area under the curve (AUC) of 0.99 and 0.97, respectively, compared to strain-based measures, AUC 0.47–0.82.

Tissue characterization imaging (myocardial ECV and LV LGE) can be used to distinguish low burden ATTR from potential disease mimickers and appears to outperform traditional strain-based measures.

Graphical AbstractThe figure summarizes key study findings, including cardiac magnetic resonance imaging characteristics of patients with low burden ATTR CA (left panel). The lower event rates in patients with low burden ATTR cardiac amyloidosis compared to higher burden disease (right upper panel). Receiver operator characteristics curve of CMR parameters differentiating low burden ATTR cardiac amyloidosis from potential mimickers (right lower panel).For image description, please refer to the figure legend and surrounding text.

The figure summarizes key study findings, including cardiac magnetic resonance imaging characteristics of patients with low burden ATTR CA (left panel). The lower event rates in patients with low burden ATTR cardiac amyloidosis compared to higher burden disease (right upper panel). Receiver operator characteristics curve of CMR parameters differentiating low burden ATTR cardiac amyloidosis from potential mimickers (right lower panel).

## Linked entities

- **Diseases:** hypertrophic cardiomyopathy (MONDO:0005045)

## Full-text entities

- **Diseases:** HHD (MESH:D006973), amyloid (MESH:C000718787), HCM (MESH:D002312), ATTR CA (MESH:C567782)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12993924/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12993924/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12993924/full.md

---
Source: https://tomesphere.com/paper/PMC12993924