Identification of sarcopenia and exploration of the “bone-muscle” association using multiparametric quantitative MRI: a cross-section study

Motivation: The histological association between osteoporosis and sarcopenia has not been fully clarified. Exploring new imaging markers can help improve the efficiency of sarcopenia screening. Goal(s): We hypothesized that these functional MRI techniques could quantify multiple structural and functional changes associated with aging in bone and muscle at the microscopic level and could be used as a tool for noninvasive assessment of spinal and paravertebral muscles in postmenopausal osteoporosis. Approach: This study demonstrated that paravertebral muscle-specific MRI parameters can potentially detect sarcopenia in osteoporosis patients. Results: Quantitative MRI parameters reveal associations between paravertebral muscle and bone marrow components and predict poor clinical outcomes. Impact: This study showed that functional MRI parameters of the paravertebral muscles have the potential to predict sarcopenia. Furthermore, the occurrence of osteoporosis and sarcopenia are not independent. There were associations between specific paravertebral muscle components and vertebral bone marrow.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2223
Primary Topic
Bone health and osteoporosis research
Type
article
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article

Identification of sarcopenia and exploration of the “bone-muscle” association using multiparametric quantitative MRI: a cross-section study

Haiying Tao, Qing Li, Shuang Chen, Xiangwen Li
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Bone health and osteoporosis research
article

Identification of sarcopenia and exploration of the “bone-muscle” association using multiparametric quantitative MRI: a cross-section study

Haiying Tao, Qing Li, Shuang Chen, Xiangwen Li
article en

Abstract

Motivation: The histological association between osteoporosis and sarcopenia has not been fully clarified. Exploring new imaging markers can help improve the efficiency of sarcopenia screening. Goal(s): We hypothesized that these functional MRI techniques could quantify multiple structural and functional changes associated with aging in bone and muscle at the microscopic level and could be used as a tool for noninvasive assessment of spinal and paravertebral muscles in postmenopausal osteoporosis. Approach: This study demonstrated that paravertebral muscle-specific MRI parameters can potentially detect sarcopenia in osteoporosis patients. Results: Quantitative MRI parameters reveal associations between paravertebral muscle and bone marrow components and predict poor clinical outcomes. Impact: This study showed that functional MRI parameters of the paravertebral muscles have the potential to predict sarcopenia. Furthermore, the occurrence of osteoporosis and sarcopenia are not independent. There were associations between specific paravertebral muscle components and vertebral bone marrow.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 68%
Bone health and osteoporosis research
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Identification of sarcopenia and exploration of the “bone-muscle” association using multiparametric quantitative MRI: a cross-section study — Haiying Tao, Qing Li, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS