Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning,European Heart Journal - Cardiovascular Imaging

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Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning
European Heart Journal - Cardiovascular Imaging ( IF 6.7 ) Pub Date : 2019-07-05 , DOI: 10.1093/ehjci/jez166
Anish N Bhuva _{1,

2} , Thomas A Treibel _{1,

2} , Antonio De Marvao ₃ , Carlo Biffi _{3,

4} , Timothy J W Dawes _{3,

5} , Georgia Doumou ₃ , Wenjia Bai ₄ , Kush Patel _{1,

2} , Redha Boubertakh ₂ , Daniel Rueckert ₄ , Declan P O'Regan ₃ , Alun D Hughes ₁ , James C Moon _{1,

2} , Charlotte H Manisty _{1,

2}

Affiliation

Left ventricular hypertrophy (LVH) in aortic stenosis (AS) varies widely before and after aortic valve replacement (AVR), and deeper phenotyping beyond traditional global measures may improve risk stratification. We hypothesized that machine learning derived 3D LV models may provide a more sensitive assessment of remodelling and sex-related differences in AS than conventional measurements.

中文翻译：

3D 模型机器学习揭示主动脉瓣狭窄心肌可塑性的性别和区域差异

主动脉瓣狭窄 (AS) 患者的左心室肥厚 (LVH) 在主动脉瓣置换术 (AVR) 前后差异很大，超越传统整体测量的更深入的表型分析可能会改善风险分层。我们假设机器学习衍生的 3D LV 模型可能比传统测量更敏感地评估 AS 的重塑和性别相关差异。

更新日期：2020-04-17

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