Magnetic resonance imaging-based fat infiltration grading improves reparability prediction in massive rotator cuff tears

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Publication Details

Journal
Journal of Orthopaedics and Traumatology
Published
2026-02-03
DOI
https://doi.org/10.1186/s10195-026-00900-2
Primary Topic
Shoulder Injury and Treatment
Type
article
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article

Magnetic resonance imaging-based fat infiltration grading improves reparability prediction in massive rotator cuff tears

Tao-Hsin Tung, Jianrong Ding, Xiaobo Zhou, Danxiu Wang et al.
Journal of Orthopaedics and Traumatology
Shoulder Injury and Treatment
article

Magnetic resonance imaging-based fat infiltration grading improves reparability prediction in massive rotator cuff tears

Tao-Hsin Tung, Jianrong Ding, Xiaobo Zhou, Danxiu Wang, Guoyin Zhang, Qi Hu
article en

Abstract

No abstract available for this paper.
Journal of Orthopaedics and TraumatologyVol. 27(1)
Wenzhou Medical University (CN), Zhejiang Taizhou Hospital (CN)
Climate action
Openalex Percentile: Top 68%
Shoulder Injury and Treatment
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Magnetic resonance imaging-based fat infiltration grading improves reparability prediction in massive rotator cuff tears — Tao-Hsin Tung, Jianrong Ding, et al. · Journal of Orthopaedics and Traumatology (2026) | TGRS Research Map | TGRS