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Dataset Information

Ultrasonic Texture Analysis for Predicting Acute Myocardial Infarction.


ABSTRACT:

Background

Acute myocardial infarction (MI) alters cardiomyocyte geometry and architecture, leading to changes in the acoustic properties of the myocardium.

Objectives

This study examines ultrasomics-a novel cardiac ultrasound-based radiomics technique to extract high-throughput pixel-level information from images-for identifying ultrasonic texture and morphologic changes associated with infarcted myocardium.

Methods

The authors included 684 participants from multisource data: a) a retrospective single-center matched case-control dataset; b) a prospective multicenter matched clinical trial dataset; and c) an open-source international and multivendor dataset. Handcrafted and deep transfer learning-based ultrasomics features from 2- and 4-chamber echocardiographic views

SUBMITTER: Jamthikar AD 

PROVIDER: S-EPMC12550873 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature