| Title: | Left ventricular wall thickness heterogeneity improves cardiovascular disease diagnosis and prognosis: a UK Biobank cardiovascular magnetic resonance cohort study |
| Journal: | European Heart Journal - Imaging Methods and Practice |
| Published: | 2 Jul 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40740418/ |
| DOI: | https://doi.org/10.1093/ehjimp/qyaf092 |
Publication 16351
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Abstract
Aims: Left ventricular hypertrophy (LVH) regionality carries diagnostic and prognostic importance. Mean absolute deviation of maximum segmental wall thickness (MadWT) is a novel left ventricular wall thickness (LVWT) heterogeneity biomarker from cardiovascular magnetic resonance imaging (CMR).</p>
Objectives: To compare MadWT to indexed LV mass (LVMi), maximum (MaxWT) and mean (MeanWT) wall thickness to predict incident cardiovascular disease (CVD) and differentiate physiological from pathological LVH in highly physically active individuals.</p>
Methods and results: Deep learning-assisted analysis of 44 930 UK Biobank CMR scans produced WT indices. Cox regression modelled major adverse cardiovascular events (MACE), heart failure (HF), arrhythmia, and all-cause death against LVWT indices. In the top 1% most physically active biomarker differences between propensity score matched hypertensive and non-hypertensive groups were compared. Over median (Q1, Q3) follow-up of 5.7 (4.9, 7.1) years, MadWT, MaxWT, MeanWT, and LVMi were associated with greater risk of MACE, HF, arrhythmia (P < 0.05), but not all-cause death (P > 0.05). After adjusting for CMR biomarkers, including LVMi, MadWT remained independently prognostic of the greatest number of endpoints, including MACE, HF, and arrhythmia [HR 1.13 (1.04-1.23); HR 1.15 (1.01-1.32); and HR 1.26 (1.18-1.35) respectively]. In the top 1% most physically active by three metrics, MadWT was the only significantly different biomarker between hypertensive and non-hypertensive participants (P < 0.05).</p>
Conclusion: MadWT is important prognostically beyond LV mass and may be useful when differentiating physiological from hypertensive LVH. Although findings require confirmation in athletic and diseased cohorts, MadWT is readily translatable to deep learning-assisted clinical CMR reporting, especially in early unexplained LVH.</p>
5 Authors
- Kerrick Hesse
- Mohammed Y Khanji
- C Anwar A Chahal
- Steffen E Petersen
- Nay Aung
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
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