Musculoskeletal ultrasound is an imaging modality that can be used to evaluate nerve, tendon, muscle, ligament, and joint disorders and to guide therapeutic procedures. A growing proportion of physiatrists are interested in musculoskeletal ultrasound as demonstrated by the increasing number of musculoskeletal ultrasound articles published in physical medicine and rehabilitation journals and quantity of musculoskeletal ultrasound courses and workshops at physical medicine and rehabilitation conferences. The Mayo Clinic (Rochester, MN) Physical Medicine and Rehabilitation residency program developed a musculoskeletal ultrasound course for their physical medicine and rehabilitation residents, which was implemented in 2008. A detailed description of the course is provided in this article. In addition, results from a premusculoskeletal ultrasound course and postmusculoskeletal ultrasound course practical and written test are presented, and the results of a postmusculoskeletal ultrasound course resident survey are discussed. This information can be used by other physical medicine and rehabilitation residency programs to assist in the creation of their own musculoskeletal ultrasound course.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/PHM.0b013e3181c1ee69 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.
Physiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
View Article and Find Full Text PDFUse of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports.
AJR Am J Roentgenol
January 2025
Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Boston, MA 02120 Phone: 617-525-9702.
Automated extraction of actionable details of recommendations for additional imaging (RAIs) from radiology reports could facilitate tracking and timely completion of clinically necessary RAIs and thereby potentially reduce diagnostic delays. To assess the performance of large-language models (LLMs) in extracting actionable details of RAIs from radiology reports. This retrospective single-center study evaluated reports of diagnostic radiology examinations performed across modalities and care settings within five subspecialties (abdominal imaging, musculoskeletal imaging, neuroradiology, nuclear medicine, thoracic imaging) in August 2023.
View Article and Find Full Text PDFLumbar intervertebral disc calcification with massive herniation: a case report.
J Int Med Res
January 2025
Department of Orthopaedics, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine; Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, China.
An 18-year-old female patient presented with a 1-month history of low back pain, which had worsened and was accompanied by radiating pain in the right lower limb for half a month. She was admitted to our hospital with computed tomography and magnetic resonance imaging findings suggesting calcification of the L3/4 disc and a large intraspinal mass at the L2-4 level. The patient's symptoms did not improve with conservative treatment, and her muscle strength rapidly declined.
View Article and Find Full Text PDFTriangular Margin: Reliable Imaging Feature of Fibrous Dysplasia in Long Bones?
J Comput Assist Tomogr
January 2025
Department of Radiology, Division of Musculoskeletal Imaging and Intervention, Massachusetts General Hospital, Boston, MA.
Objective: To determine the utility of a triangular margin as an imaging diagnostic feature for fibrous dysplasia.
Materials And Methods: We retrospectively reviewed all surgically biopsied or managed benign and malignant bone tumors by a single orthopedic oncologist over 19 years (2003 to 2022). A musculoskeletal radiologist and an orthopedic oncologist, both with >10 years of experience, retrospectively evaluated all imaging in consensus.
Characterization of LIPUS Parameters Suitable for Hip Bone Fracture.
Ultrasound Med Biol
January 2025
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China; Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China. Electronic address:
Objective: To investigate the effects of ultrasound treatment on the healing of hip bone fractures using frequencies of 0.5 MHz and 1.5 MHz with constant intensity (30 mW/cm) at the fractured site.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!