The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography

<b>Objectives:</b> Peripheral arterial disease (PAD) is a common vascular condition with amputation as a major complication. While muscle volume and vascular severity is often considered in risk prediction, the prognostic value of muscle density remains underexplored. <b>Methods<...

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Main Authors: Yueh-Hung Lin, Pei-Shan Tsai, Chung-Lieh Hung, Mirza Faisal Beg, Hung-I Yeh, Chun-Ho Yun, Ming-Ting Wu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
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Online Access:https://www.mdpi.com/2075-4418/15/11/1439
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author Yueh-Hung Lin
Pei-Shan Tsai
Chung-Lieh Hung
Mirza Faisal Beg
Hung-I Yeh
Chun-Ho Yun
Ming-Ting Wu
author_facet Yueh-Hung Lin
Pei-Shan Tsai
Chung-Lieh Hung
Mirza Faisal Beg
Hung-I Yeh
Chun-Ho Yun
Ming-Ting Wu
author_sort Yueh-Hung Lin
collection DOAJ
description <b>Objectives:</b> Peripheral arterial disease (PAD) is a common vascular condition with amputation as a major complication. While muscle volume and vascular severity is often considered in risk prediction, the prognostic value of muscle density remains underexplored. <b>Methods</b>: In this exploratory study, we retrospectively analyzed 134 patients undergoing lower-limb computed tomography angiography between January 2018 and December 2023. Muscle density (MD), muscle volume, intermuscular adipose tissue (IMAT), and vascular severity scores were quantified using deep learning software. Patients were stratified into non-PAD, mild PAD, and critical limb ischemia (CLI) groups. Multivariate Cox regression assessed associations with amputation risk. <b>Results</b>: PAD patients, especially those with CLI, had lower muscle volumes (e.g., total leg: 7945.3 ± 2012.5 cm<sup>3</sup> in CLI vs. 11,161.6 ± 4670.4 cm<sup>3</sup> in non-PAD), lower muscle densities (e.g., lower leg: 34.0 ± 10.5 HU in CLI vs. 44.1 ± 6.9 HU in non-PAD), higher intermuscular adipose tissue volume percentage (e.g., total leg: 15.6 ± 5.4% in CLI vs. 10.5 ± 3.6% in non-PAD), and higher vascular severity scores (e.g., total leg: 12.6 ± 5.0 in CLI vs. 0.1 ± 0.3 in non-PAD), compared to non-PAD individuals. Only muscle density (MD) including that of abdominal muscle, thigh muscle, and lower leg muscle remained significant predictors of amputation risk after adjusting for confounders. Multivariate Cox regression models, adjusted for demographics and comorbidities, revealed that lower MD of abdomen (<18.7 HU; HR, 6.50, 95% CI, 1.95–21.77), thigh (<27.8 HU; HR, 5.00, 95% CI, 1.60–15.66), and lower leg (<32.4 HU; HR, 6.89, 95% CI, 2.17–21.93) muscles were independently associated with increased amputation risk. <b>Conclusions</b>: Muscle density, reflecting muscle quality rather than quantity, was an independent predictor of amputation risk in PAD. These findings highlight the prognostic value of muscle quality and support the integration of advanced imaging techniques, such as automated CTA-based body composition analysis, for risk stratification in PAD patients.
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spelling doaj-art-617a36fe6a5a4f5d9b2eb39a7651a2ea2025-08-20T03:11:18ZengMDPI AGDiagnostics2075-44182025-06-011511143910.3390/diagnostics15111439The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT AngiographyYueh-Hung Lin0Pei-Shan Tsai1Chung-Lieh Hung2Mirza Faisal Beg3Hung-I Yeh4Chun-Ho Yun5Ming-Ting Wu6Division of Cardiology, Departments of Internal Medicine, Mackay Memorial Hospital, Taipei 104217, TaiwanDepartment of Medicine, Mackay Medical College, New Taipei City 252005, TaiwanDivision of Cardiology, Departments of Internal Medicine, Mackay Memorial Hospital, Taipei 104217, TaiwanSchool of Engineering Science, Simon Fraser University, Burnaby, BC V5A 1S6, CanadaDivision of Cardiology, Departments of Internal Medicine, Mackay Memorial Hospital, Taipei 104217, TaiwanDepartment of Medicine, Mackay Medical College, New Taipei City 252005, TaiwanDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan<b>Objectives:</b> Peripheral arterial disease (PAD) is a common vascular condition with amputation as a major complication. While muscle volume and vascular severity is often considered in risk prediction, the prognostic value of muscle density remains underexplored. <b>Methods</b>: In this exploratory study, we retrospectively analyzed 134 patients undergoing lower-limb computed tomography angiography between January 2018 and December 2023. Muscle density (MD), muscle volume, intermuscular adipose tissue (IMAT), and vascular severity scores were quantified using deep learning software. Patients were stratified into non-PAD, mild PAD, and critical limb ischemia (CLI) groups. Multivariate Cox regression assessed associations with amputation risk. <b>Results</b>: PAD patients, especially those with CLI, had lower muscle volumes (e.g., total leg: 7945.3 ± 2012.5 cm<sup>3</sup> in CLI vs. 11,161.6 ± 4670.4 cm<sup>3</sup> in non-PAD), lower muscle densities (e.g., lower leg: 34.0 ± 10.5 HU in CLI vs. 44.1 ± 6.9 HU in non-PAD), higher intermuscular adipose tissue volume percentage (e.g., total leg: 15.6 ± 5.4% in CLI vs. 10.5 ± 3.6% in non-PAD), and higher vascular severity scores (e.g., total leg: 12.6 ± 5.0 in CLI vs. 0.1 ± 0.3 in non-PAD), compared to non-PAD individuals. Only muscle density (MD) including that of abdominal muscle, thigh muscle, and lower leg muscle remained significant predictors of amputation risk after adjusting for confounders. Multivariate Cox regression models, adjusted for demographics and comorbidities, revealed that lower MD of abdomen (<18.7 HU; HR, 6.50, 95% CI, 1.95–21.77), thigh (<27.8 HU; HR, 5.00, 95% CI, 1.60–15.66), and lower leg (<32.4 HU; HR, 6.89, 95% CI, 2.17–21.93) muscles were independently associated with increased amputation risk. <b>Conclusions</b>: Muscle density, reflecting muscle quality rather than quantity, was an independent predictor of amputation risk in PAD. These findings highlight the prognostic value of muscle quality and support the integration of advanced imaging techniques, such as automated CTA-based body composition analysis, for risk stratification in PAD patients.https://www.mdpi.com/2075-4418/15/11/1439peripheral arterial diseasescomputed tomographyartificial intelligence
spellingShingle Yueh-Hung Lin
Pei-Shan Tsai
Chung-Lieh Hung
Mirza Faisal Beg
Hung-I Yeh
Chun-Ho Yun
Ming-Ting Wu
The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
Diagnostics
peripheral arterial diseases
computed tomography
artificial intelligence
title The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
title_full The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
title_fullStr The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
title_full_unstemmed The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
title_short The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography
title_sort role of muscle density in predicting the amputation risk in peripheral arterial disease a tissue composition study using lower extremity ct angiography
topic peripheral arterial diseases
computed tomography
artificial intelligence
url https://www.mdpi.com/2075-4418/15/11/1439
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