Left ventricular ejection fraction assessment: artificial intelligence compared with echocardiography expert and cardiac magnetic resonance measurements.

IF 4.7 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Patrycja Mołek-Dziadosz, Aleksandra Woźniak, Anna Furman-Niedziejko, Konrad Pieszko, Joanna Szachowicz-Jaworska, Tomasz Miszalski-Jamka, Maciej Krupiński, Marc R Dweck, Jadwiga Nessler, Andrzej Gackowski
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引用次数: 0

Abstract

Introduction:  Cardiac magnetic resonance (CMR) is the gold standard for assessing left ventricular ejection fraction (LVEF). Artificial intelligence (AI)-based echocardiographic analysis is increasingly utilized in clinical practice.

Objectives:  This study aimed to compare the results of LVEF echocardiography (ECHO) assessed by experts and automated AI, with CMR as the reference standard.

Patients and methods:  We retrospectively analyzed 118 patients who underwent both CMR and ECHO within 7 days. LVEF measured on CMR was compared with the results obtained from an AI‑ based software, which automatically analyzed all stored digital imaging and communications in medicine loops (multiloop AI analysis) on ECHO. Additionally, AI results were repeated using only 1 best‑ quality loop for 2-chamber view and 1 for 4‑ chamber view (single loop AI analysis) on ECHO. These results were further compared with standard ECHO analysis performed by 2 independent experts. Agreement was investigated using the Pearson correlation and Bland-Altman analysis as well as the Cohen κ and concordance for categorization of LVEF into subgroups (≤30%, 31%-40%, 41%-50%, 51%-70%, and >70%).

Results:  Both experts demonstrated strong inter‑ reader agreement (R = 0.88; κ = 0.77), and their assessment correlated well with CMR‑ assessed LVEF (expert 1, R = 0.86; κ = 0.74; expert 2, R = 0.85; κ = 0.68). The results of the multiloop AI analysis correlated strongly with those of CMR (R = 0.87; κ = 0.68) and the experts (R = 0.88-0.9; κ = 0.77). The single‑ loop AI analysis demonstrated numerically higher concordance with CMR‑ assessed LVEF (R = 0.89; κ = 0.75) than the multiloop AI analysis and expert analysis.

Conclusions:  AI‑ based analysis showed similar LVEF assessment results as human expert analysis in comparison with CMR. AI‑ based ECHO analysis is a promising approach, but its results should be interpreted with caution.

左心室射血分数评估:人工智能与超声心动图专家和心脏磁共振测量的比较。
心脏磁共振(CMR)是评估左心室射血分数(LVEF)的金标准。基于人工智能(AI)的超声心动图分析越来越多地应用于临床实践。目的:本研究比较专家评估的超声心动图(ECHO)和自动人工智能(AI)测量的LVEF,并与CMR作为参考标准进行比较。患者和方法:我们回顾性分析了118例在7天内接受CMR和ECHO检查的患者。将CMR测量的LVEF与基于AI的软件获得的结果进行比较,该软件自动分析超声心动图(ECHO)中存储的所有DICOM环(Multi loop AI analysis)。此外,在ECHO中,仅使用一个最佳质量环路对2个腔室视图和一个最佳质量环路对4个腔室视图(one loop AI Analysis)重复人工智能结果。这些结果进一步与两位独立专家进行的标准ECHO分析进行比较。采用Pearson’s correlation和Bland-Altman分析,以及Cohen’s Kappa和一致性对LVEF的亚组分类(≤30%、31-40%、41-50%、51-70%和>70%)进行一致性调查。结果:两种专家均表现出较强的读者间一致性(R = 0.88, κ = 0.77),且与CMR LVEF具有良好的相关性(Expert 1: R = 0.86, κ = 0.74; Expert 2: R = 0.85, κ = 0.68)。多环AI分析与CMR (R = 0.87, κ = 0.68)和Experts (R = 0.88-0.90)呈显著相关。与Multi - Loop AI Analysis和Experts相比,One Loop AI Analysis与CMR LVEF的数值一致性更高(R = 0.89, κ = 0.75)。结论:与CMR结果相比,基于人工智能的分析显示了与人类专家相似的LVEF评估。基于人工智能的ECHO分析是有希望的,但获得的结果应谨慎解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
176
审稿时长
6-12 weeks
期刊介绍: Polish Archives of Internal Medicine is an international, peer-reviewed periodical issued monthly in English as an official journal of the Polish Society of Internal Medicine. The journal is designed to publish articles related to all aspects of internal medicine, both clinical and basic science, provided they have practical implications. Polish Archives of Internal Medicine appears monthly in both print and online versions.
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