Quantification of Intermuscular Adipose Tissue and Skeletal Muscle Tissue Across Axial Spinal Levels Using an AI-Based Method

Introduction: Intermuscular adipose tissue (IMAT), a fat depot located between muscle fibers, has emerged as a clinically relevant biomarker in oncology [ref:1]. IMAT area can be quantified using computed tomography (CT) imaging. Most previous studies have relied on a single axial CT slice [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds182
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Quantification of Intermuscular Adipose Tissue and Skeletal Muscle Tissue Across Axial Spinal Levels Using an AI-Based Method

German Medical Science (German Research Foundation)
Radiomics and Machine Learning in Medical Imaging
article

Quantification of Intermuscular Adipose Tissue and Skeletal Muscle Tissue Across Axial Spinal Levels Using an AI-Based Method

article en

Abstract

Introduction: Intermuscular adipose tissue (IMAT), a fat depot located between muscle fibers, has emerged as a clinically relevant biomarker in oncology [ref:1]. IMAT area can be quantified using computed tomography (CT) imaging. Most previous studies have relied on a single axial CT slice [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Memorial University of Newfoundland (CA), Hochschule Hannover (DE), Simon Fraser University (CA), University of Utah (US), Huntsman Cancer Institute (US)
Openalex Percentile: Top 35%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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