Musculoskeletal Imaging 2025, 2nd Edition

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 770

Special Issue Editor


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Guest Editor
Division of Musculoskeletal Radiology, Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, USA
Interests: imaging of arthritis; spondyloarthritis; bone and soft tissue tumors; neurography
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Special Issue Information

Dear Colleagues,

The development of new and improved imaging technologies has revolutionized our ability to diagnose pathologies more accurately and at an earlier stage, enabling clinicians to provide better care for their patients. In the past decade, musculoskeletal imaging has particularly benefited from advancements in more sophisticated imaging tools and scanners, which have allowed radiologists to narrow their differential diagnoses and play a crucial role in patient management.

Exciting ongoing research on incorporating artificial intelligence into diagnostic imaging presents a promising future for improving patient care. In this Special Issue, we are pleased to present perspectives on selected topics in musculoskeletal imaging.

Dr. Parham Pezeshk
Guest Editor

Manuscript Submission Information

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Keywords

  • imaging
  • radiology
  • diagnostic
  • musculoskeletal
  • artificial intelligence

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Published Papers (1 paper)

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12 pages, 3573 KiB  
Case Report
The Impact of Persevering Home Full-Body In-Bed Gym Exercise on Body Muscles in Aging: A Case Report by Quantitative Radio-Densitometric Study Using 3D and 2D Color CT
by Riccardo Forni, Paolo Gargiulo, Gabriele Boretti, Marco Quadrelli, Tommaso Baccaglini, Aldo Morra, Barbara Ravara, Sandra Zampieri, Amber Pond, Ugo Carraro, Maria Chiara Maccarone and Stefano Masiero
Diagnostics 2024, 14(24), 2808; https://doi.org/10.3390/diagnostics14242808 - 13 Dec 2024
Viewed by 603
Abstract
Background and Clinical Significance: Sarcopenia, characterized by muscle loss and fat infiltration, poses a significant health burden for aging populations. Quantitative Color 2D and 3D radiodensitometry provides a powerful tool to monitor muscle quality and quantity through CT imaging. This study assessed the [...] Read more.
Background and Clinical Significance: Sarcopenia, characterized by muscle loss and fat infiltration, poses a significant health burden for aging populations. Quantitative Color 2D and 3D radiodensitometry provides a powerful tool to monitor muscle quality and quantity through CT imaging. This study assessed the impact of a ten-year-long home-bed gym exercise intervention on muscle quality in an elderly subject using CT-derived radiodensitometric analysis. The study involved two comparative analyses: Study A, which compared knee-to-ankle CT scans of the subject between 2013 and 2023; and Study B, which compared the subject’s 2023 thigh CT scan with a cohort of 2500 elderly Icelandic individuals from the AGES-Reykjavik study. Case Presentation: A 70-year-old male began a home-based Full-Body In-Bed Gym exercise program in 2013. Quantitative muscle volume and radiodensity measurements were performed using CT at baseline and after ten years. Results: Study A shows significant improvements in muscle volume observed in the knee-to-ankle region, while a slower decline in radiodensity was noted, indicating substantial preservation of muscle quality despite the expected decay of ten-year aging. For instance, muscle volume increased by 15% in the left Soleus muscle and by 6% in the right Soleus muscle, while the average radiodensity decreased by 12–17 HU. The subject’s thigh muscle quality at 80-years-old is above the AGES-Reykjavik’s cohort average, with reduced fat infiltration. Conclusions: Long-term home Full-Body In-Bed Gym, a low-impact exercise, can mitigate aging sarcopenia, as evidenced by improved tissue radiodensity and muscle mass substantial preservation. This suggests potential applications in personalized healthcare strategies to enhance muscle preservation among aging populations. Full article
(This article belongs to the Special Issue Musculoskeletal Imaging 2025, 2nd Edition)
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