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Published in: BMC Musculoskeletal Disorders 1/2017

Open Access 01-12-2017 | Research article

Skin marker placement by technologist prior to knee MRI helps identify clinically relevant pathologies

Authors: Vibhor Wadhwa, Eric Weissman, Daichi Hayashi, Yin Xi, Avneesh Chhabra

Published in: BMC Musculoskeletal Disorders | Issue 1/2017

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Abstract

Background

Majority of musculoskeletal cross-sectional imaging requests have a non-revealing and non-specific clinical history of pain. However, the location of pain is very relevant towards arriving at a specific orthopedic diagnosis. The purpose of this research was to study the impact of skin marker placement and training of technologists prior to knee MRI in detection of clinically important findings.

Methods

Total 200 consecutive left knee MRIs were evaluated before and after technologist training with regards to marker placement at the site of clinical symptoms or palpable finding. Marker location in relation to the knee was recorded and important findings were classified as correlated important finding, non-correlated important finding, other compartment important finding in non-correlated cases, and diffuse abnormality, i.e. tri-compartmental cartilage defects in both correlated and non-correlated cases. Differences among scans before and after technologist training were analyzed.

Results

The marker placement was observed in higher proportion of patients in post-training scans (78% vs 60%, p = 0.00). The most common location of the marker was in anterior or anterolateral knee (32% and 34% cases, respectively). The marker-important finding correlation was also higher post training, but not statistically significant (53% versus 38%, p = 0.57). Important findings correlated with the marker in more than 50% of the scans in the post-training set.

Conclusion

Marker placement can aid in detection of clinically important imaging finding and technologist training aids in increased rates of marker placement and improved correlation.
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Metadata
Title
Skin marker placement by technologist prior to knee MRI helps identify clinically relevant pathologies
Authors
Vibhor Wadhwa
Eric Weissman
Daichi Hayashi
Yin Xi
Avneesh Chhabra
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2017
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-017-1876-7

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