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Diagnostics
Special Issues
Musculoskeletal Imaging in Clinical Practice: From Detection to Decision-Making
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Musculoskeletal Imaging in Clinical Practice: From Detection to Decision-Making

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 1002

Special Issue Editor

Dr. Seul Ki Lee

E-Mail Website
Guest Editor
Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea
Interests: musculoskeletal radiology; musculoskeletal tumor imaging; radiomics; quantitative imaging analysis; orthopedic oncology

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the essential role of musculoskeletal imaging in diagnosing and managing a wide spectrum of orthopedic conditions. From trauma and arthritis to tumors and postoperative evaluations, advanced imaging modalities, such as MRI, CT, and ultrasound, aid in the accurate detection, characterization of disease, and treatment planning. Emphasizing collaboration between radiologists and orthopedic surgeons, this issue invites contributions that highlight how imaging guides clinical decisions and improves patient outcomes. 

Dr. Seul Ki Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • musculoskeletal imaging
  • dual-energy CT
  • quantitative MRI
  • musculoskeletal tumors
  • degenerative diseases
  • fractures
  • sport injuries
  • spine
  • preoperative planning
  • postoperative imaging

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Published Papers (2 papers)

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Research

15 pages, 8072 KB  
Article
Subscapularis Partial Thickness Tears by Yoo and Rhee Classification: Identifying MRI Predictors for Type IIB, Requiring Surgical Repair
by Yoonsang Lee, Seul Ki Lee and Jee-Young Kim
Diagnostics 2025, 15(21), 2670; https://doi.org/10.3390/diagnostics15212670 - 22 Oct 2025
Viewed by 262
Abstract
Objectives: This study aimed to assess the significance of a novel subclassification for partial thickness tears of the subscapularis tendon (SSC) by Yoo and Rhee and to identify key MRI findings predictive of the newly adopted surgical indicator (Yoo type IIB). Methods [...] Read more.
Objectives: This study aimed to assess the significance of a novel subclassification for partial thickness tears of the subscapularis tendon (SSC) by Yoo and Rhee and to identify key MRI findings predictive of the newly adopted surgical indicator (Yoo type IIB). Methods: Between June 2021 and January 2024, 190 patients undergoing preoperative MRI and arthroscopic rotator cuff repair were enrolled. Patients with arthroscopically confirmed Lafosse type 1 tears (n = 148) who underwent debridement were included. Preoperative MRIs were retrospectively evaluated for SSC tear according to Yoo and Rhee classification, muscle atrophy, fatty infiltration, lesser tuberosity cyst, and long head of the biceps (LHBT) pathologies. Patients were divided into the control (Yoo type I + IIA) and study (Yoo type IIB) groups, and significant associations of MRI findings between the groups were investigated. Results: Among Lafosse type 1 patients, the control group (Yoo type I [n = 70] and Yoo type IIA [n = 41]; n = 111; mean age, 61.8 years ± 9.6, 48 men), and the study group (Yoo type IIB, n = 32; mean age, 66.2 years ± 7.8, 16 men) showed significant differences in age (p = 0.017), but not in gender (p = 0.634). Preoperative MRI findings, including muscle atrophy (p < 0.001), fatty infiltration (p < 0.001), lesser tuberosity cyst (p = 0.033), and LHBT pathologies (full thickness tear, p = 0.040; partial thickness tear, p < 0.001; tendinosis, p = 0.003; subluxation, p < 0.001), differed significantly between the groups. Multivariate analysis identified muscle atrophy (odds ratio [OR] = 33.83, p = 0.008) and LHBT subluxation (OR = 22.83, p < 0.001) as independent predictors for Yoo type IIB. Conclusions: In partial thickness tears of SSC, significant MRI differences were found between the Yoo and Rhee classifications. Notably, muscle atrophy and LHBT subluxation were valuable indicators for predicting Yoo type IIB as a surgical indication. Full article
(This article belongs to the Special Issue Musculoskeletal Imaging in Clinical Practice: From Detection to Decision-Making)
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10 pages, 734 KB  
Article
From Detection to Decision: T-Score-Guided Use of STIR MRI After CT in Vertebral Fractures
by Lior Yehuda Fitoussi, Árpád Viola, Siran Aslan, Réka Viola, Viktor Foglar and Mohammad Walid Al-Smadi
Diagnostics 2025, 15(18), 2370; https://doi.org/10.3390/diagnostics15182370 - 18 Sep 2025
Viewed by 488
Abstract
Background/Objectives: Vertebral fractures are frequently underdiagnosed after minor trauma in patients with normal or mildly reduced bone mineral density (BMD). CT, the standard first-line imaging, may miss subtle fractures, while STIR MRI is more sensitive but not routinely applied. We evaluated whether DEXA-derived [...] Read more.
Background/Objectives: Vertebral fractures are frequently underdiagnosed after minor trauma in patients with normal or mildly reduced bone mineral density (BMD). CT, the standard first-line imaging, may miss subtle fractures, while STIR MRI is more sensitive but not routinely applied. We evaluated whether DEXA-derived T-scores can guide selective use of STIR MRI in patients > 50 years. Methods: We retrospectively analyzed 214 patients who underwent CT, sagittal whole-spine STIR MRI, and DEXA within 48 h after minor trauma. Fracture counts were compared using the Wilcoxon signed-rank test. Spearman’s correlation examined associations between T-score and fracture counts. Subgroups were defined as normal (≥−1), osteopenia (−2.5 < T-score < −1), osteoporosis (−3.5 < T-score ≤ −2.5), and high-risk osteoporosis (≤−3.5). Results: STIR MRI identified more fractures than CT in 87 patients (40.7%), while CT detected more in 19 (8.9%) (p < 0.0001). MRI outperformed CT across all T-score categories. The osteopenia group had the highest number of additional fractures (n = 53), and even patients with normal BMD showed a notable yield (n = 36). Correlations between T-score and fracture counts were weak and not statistically significant. Conclusions: T-score can support imaging triage but should not be used as a strict threshold. STIR MRI is justified in patients with T-scores < −2.5 when clinical suspicion exists and should be considered in those with higher T-scores if CT is negative but symptoms persist. Integrating T-score into imaging protocols may reduce missed fractures and improve outcomes. Full article
(This article belongs to the Special Issue Musculoskeletal Imaging in Clinical Practice: From Detection to Decision-Making)
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