Advances in Musculoskeletal Imaging: From Diagnosis to Treatment

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

Deadline for manuscript submissions: 31 October 2025 | Viewed by 260

Special Issue Editors


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Guest Editor
Department of Radiology, Parma University Hospital, Via Gramsci 14, 43125 Parma, Italy
Interests: cardiac imaging; pulmonary imaging; cardiac computed tomography; cardiac magnetic resonance; post-processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Medicine and Surgery, Section of Radiology, University of Parma, Maggiore Hospital, Via Gramsci 14, 43126 Parma, Italy
Interests: multiparametric MRI; diagnostic imaging; cardiology; diagnostic & therapeutic ultrasound; lung cancer

Special Issue Information

Dear Colleagues,

Musculoskeletal imaging plays a crucial role in the diagnosis and management of a wide range of conditions, from acute injuries to chronic degenerative diseases. The field has witnessed significant advancements in recent years, with the development and refinement of various imaging modalities. Magnetic resonance imaging (MRI), computed tomography (CT), ultrasonography, and emerging functional and molecular imaging techniques have transformed the way clinicians approach musculoskeletal disorders. These advanced imaging methods provide unprecedented detail and insight into the structure and function of bones, joints, muscles, and surrounding tissues, enabling more accurate diagnoses and tailored treatment plans.

The continuous evolution of musculoskeletal imaging has opened new avenues for research and clinical practice. Artificial intelligence (AI) and machine learning algorithms are being integrated into image analysis, enhancing the speed and accuracy of diagnoses. Additionally, image-guided therapeutic interventions have become increasingly sophisticated, allowing for minimally invasive procedures with improved precision and outcomes. This Special Issue seeks to highlight these cutting-edge developments in musculoskeletal imaging, focusing on novel diagnostic approaches, AI-driven analysis techniques, and innovative image-guided therapies. By showcasing original research and comprehensive reviews in these areas, this Special Issue aims to contribute to the advancement of patient care through the application of state-of-the-art imaging solutions in musculoskeletal medicine.

Dr. Chiara Martini
Prof. Dr. Massimo De Filippo
Guest Editors

Manuscript Submission Information

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Keywords

  • musculoskeletal imaging
  • artificial intelligence
  • bone imaging
  • musculoskeletal ultrasound
  • diagnosis
  • machine learning algorithms

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Published Papers (1 paper)

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Research

12 pages, 2632 KiB  
Article
Comparison of a New Radiographic Technique with MRI Measurements for Tibial Tunnel Evaluation in ACL Reconstruction
by Mücahid Osman Yücel, Raşit Emin Dalaslan, Sönmez Sağlam, Zekeriya Okan Karaduman, Mehmet Arıcan, Bedrettin Akar and Volkan Tural
Diagnostics 2025, 15(10), 1237; https://doi.org/10.3390/diagnostics15101237 - 14 May 2025
Viewed by 170
Abstract
Background/Objectives: The correct angular placement of the tibial tunnel is crucial to ensure graft tension, maintain knee stability, and ensure optimal clinical outcomes after anterior cruciate ligament (ACL) reconstruction. While 3D imaging methods such as MRI and CT are the gold standard [...] Read more.
Background/Objectives: The correct angular placement of the tibial tunnel is crucial to ensure graft tension, maintain knee stability, and ensure optimal clinical outcomes after anterior cruciate ligament (ACL) reconstruction. While 3D imaging methods such as MRI and CT are the gold standard for evaluating tunnel positioning, their routine use is limited by cost, availability, and time constraints. In clinical practice, 2D radiographs are more accessible but lack established reliability in accurately estimating tunnel angles. The aim of this study was to convert 2D radiographic angular measurements used in the evaluation of patients undergoing anterior cruciate ligament reconstruction into 3D values with a simple method and to compare these measurements with three-dimensional angles calculated using conventional MRI and CT. Methods: This retrospective study included 38 patients who underwent anatomic anterior cruciate ligament reconstruction. Postoperative radiographs and MR images were analyzed to determine the tibial tunnel angles. The angles calculated from 2D radiographs were statistically analyzed for their correlation with the actual 3D angles measured by MRI. Results: The analysis showed a strong correlation between tibial tunnel angles from radiographs and MRI, with minimal, non-significant differences. This suggests that radiographs can provide a reliable estimate of tibial tunnel angles. Conclusions: These findings suggest that radiographs can predict tibial tunnel angles in ACL reconstruction as accurately as MRI. This method can guide the correct tunnel angle and facilitate postoperative evaluation. Further studies are needed to confirm these results across various populations and techniques. Full article
(This article belongs to the Special Issue Advances in Musculoskeletal Imaging: From Diagnosis to Treatment)
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