ORIGINAL RESEARCH article

Front. Surg.

Sec. Orthopedic Surgery

Volume 12 - 2025 | doi: 10.3389/fsurg.2025.1627901

This article is part of the Research TopicDiagnosis and Treatment in Age-related musculoskeletal disordersView all 11 articles

Clinical Application Research on the Quantitative Measurement of Supraspinatus Muscle Fatty Degeneration Based on PACS System to Improve Preoperative Assessment

Provisionally accepted
Sitong  ZhangSitong Zhang1Yan  HuangYan Huang1Jian  HuJian Hu1Shiao  LiShiao Li1Beijie  QiBeijie Qi1Wu  WangWu Wang2*Menghong  CaoMenghong Cao3*Qian  WangQian Wang1*
  • 1Department of Orthopedics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
  • 2Department of Rehabilitation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201301, China, Shanghai, China
  • 3Department of Medical Imaging, Shanghai Pudong Hospital (Fudan University Pudong Medical Center), 201399, China, Shanghai, China

The final, formatted version of the article will be published soon.

Objective: To evaluate the clinical efficacy of a novel quantitative method using the Picture Archiving and Communication System (PACS) for multiplane assessment of supraspinatus muscle fatty infiltration (FI) and compare its reliability and accuracy with traditional single-plane visual evaluations (Under Direct Vision-FF) in preoperative planning for rotator cuff tear (RCT) patients.A retrospective analysis was conducted on patients undergoing arthroscopic rotator cuff repair (ARCR) between January and June 2023. Preoperative 3.0T MRI scans were analyzed using PACS to measure FI in three sagittal planes (medial, Y-plane, lateral). Four orthopedic surgeons performed Goutallier classification and manual FI assessments under direct vision and via PACS. Intra-and interobserver reliability were evaluated using intraclass correlation coefficients (ICCs), while Bland-Altman analysis and paired t-tests compared measurement consistency and differences.Results: PACS-based measurements (PACS-FF) demonstrated superior reliability (intraobserver ICC: 0.973-0.996; interobserver ICC: 0.940-0.978) compared to direct vision assessments (intraobserver ICC: 0.538-0.967; interobserver ICC: 0.864-0.940). Significant discrepancies were observed between methods, with direct vision underestimating FI (p < 0.05-0.0001). Multiplane analysis revealed heterogeneous FI distribution, with lateral-plane FI significantly higher than medial and Y-plane values (p < 0.001). Bland-Altman analysis showed 60-85% of direct vision measurements exceeded clinically acceptable limits of agreement (±10%).Conclusions: Quantitative multiplane PACS-based FI assessment improves accuracy and reliability over traditional single-plane visual evaluation, better reflecting heterogeneous fat distribution in the supraspinatus muscle. This method enhances preoperative risk stratification and surgical outcome prediction for RCT patients.Future integration of automated tools may further optimize clinical efficiency.

Keywords: Fatty infiltration, PACS (Picture Archiving and Communication System), preoperative assessment, rotator cuff tear (RCT), supraspinatus (SSP)

Received: 13 May 2025; Accepted: 20 Jun 2025.

Copyright: © 2025 Zhang, Huang, Hu, Li, Qi, Wang, Cao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Wu Wang, Department of Rehabilitation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201301, China, Shanghai, China
Menghong Cao, Department of Medical Imaging, Shanghai Pudong Hospital (Fudan University Pudong Medical Center), 201399, China, Shanghai, China
Qian Wang, Department of Orthopedics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China

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