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A pictorial review of signature patterns living in musculoskeletal ultrasonography
- Source :
- The Korean Journal of Pain
- Publication Year :
- 2016
- Publisher :
- Korean Pain Society, 2016.
-
Abstract
- The musculoskeletal system is mainly composed of the bones, muscles, tendons, and ligaments, in addition to nerves and blood vessels. The greatest difficulty in an ultrasonographic freeze-frame created by the examiner is recognition of the targeted structures without indicators, since an elephant's trunk may not be easily distinguished from its leg. It is not difficult to find descriptive ultrasonographic terms used for educational purposes, which help in distinguishing features of these structures either in a normal or abnormal anatomic condition. However, the terms sometimes create confusion when describing common objects, for example, in Western countries, pears have a triangular shape, but in Asia they are round. Skilled experts in musculoskeletal ultrasound have tried to express certain distinguishing features of anatomic landmarks using terms taken from everyday objects which may be reminiscent of that particular feature. This pictorial review introduces known signature patterns of distinguishing features in musculoskeletal ultrasound in a normal or abnormal condition, and may stir the beginners' interest to play a treasure-hunt game among unfamiliar images within a boundless ocean.
- Subjects :
- Anatomic landmarks
Review Article
Musculoskeletal ultrasound
Interventional ultrasonography
Education
Terminology
Tendons
03 medical and health sciences
0302 clinical medicine
030202 anesthesiology
Musculoskeletal ultrasonography
medicine
Peripheral nerves
Confusion
Musculoskeletal system
Ultrasonic imaging
business.industry
Anatomy
Trunk
Anesthesiology and Pain Medicine
Feature (computer vision)
Anisotropy
medicine.symptom
business
030217 neurology & neurosurgery
Cognitive psychology
Subjects
Details
- ISSN :
- 20930569 and 20059159
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- The Korean Journal of Pain
- Accession number :
- edsair.doi.dedup.....00a8066c165458b080bb73779414547a