基于人工智能的超声心动图评估监测经甲状腺素型心脏淀粉样变性的疾病进展

IF 10.8 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

European Journal of Heart Failure Pub Date : 2025-10-16 DOI:10.1002/ejhf.70073

Lucia Venneri, Alberto Aimo, Aldostefano Porcari, Irem Sezer, Adam Ioannou, Awais Sheikh, Josephine Mansell, Yousuf Razvi, Surabhi Bhaskar Iyer, Ana Martinez-Naharro, Francesco Bandera, Sze Chi Lim, Matthew Frost, Justin Ezekowitz, Carolyn S.P. Lam, William Moody, Carol Whelan, Helen Lachmann, Ashutosh Wechelakar, Michele Emdin, Philip N. Hawkins, Scott David Solomon, Julian D. Gillmore, Marianna Fontana

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引用次数: 0

摘要

在转甲状腺素淀粉样心肌病（atr - cm）中，卒中体积（SV）减少预示着预后不良。人工智能（AI）能够快速、标准化地评估左心室流出道速度-时间积分（LVOT-VTI），这是SV的可靠替代指标。我们研究了人工智能衍生的LVOT-VTI的纵向变化作为atr - cm的预后预测因子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Artificial intelligence-based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis

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Artificial intelligence-based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis

In transthyretin amyloid cardiomyopathy (ATTR-CM), reduced stroke volume (SV) portends a poor prognosis. Artificial intelligence (AI) enables rapid, standardized assessment of left ventricular outflow tract velocity-time integral (LVOT-VTI), which is a reliable surrogate for SV. We investigated longitudinal changes in AI-derived LVOT-VTI as outcome predictors in ATTR-CM.

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来源期刊

European Journal of Heart Failure 医学-心血管系统

CiteScore

27.30

自引率

11.50%

发文量

365

审稿时长

1 months

期刊介绍： European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.