Literature DB >> 19093902

Effect of specialty and experience on the interpretation of knee MRI scans.

Allis Kim1, Lisa Khoury, Mark Schweitzer, Laith Jazrawi, Charbel Ishak, Robert Meislin, Fred Kummer, Orrin H Sherman.   

Abstract

The purpose of this study was to evaluate any differences in the accuracy of knee MRI interpretation between radiology and orthopaedic surgery residents as well as to evaluate differences in quality of interpretation relative to resident training level. In this study, 20 MRI scans demonstrating specific pathology of the knee were identified. From one institution, two radiology residents and two orthopaedic surgery residents of each postgraduate year (PGY) of training (2 to 5) were recruited. Each resident was asked to interpret all the studies and choose up to 16 diagnoses for each scan from the list provided. Orthopaedic surgery residents showed improvement in overall accuracy and specificity with each year of additional training. Level of training did not correspond with increased sensitivity in the orthopaedic residents tested. Radiology residents did not demonstrate a consistent trend toward improved accuracy, sensitivity, or specificity with additional years of training. The only statistically significant differences in specificity observed between the two groups were seen in the readings of ACL tears, lateral femoral condyle chondromalacia, and chondromalacia patella. This study found that the accuracy of knee MRI interpretations between radiology and orthopaedic surgery residents did not demonstrate any differences. Level of training had no effect on the interpretation of the MRIs by radiology residents. Orthopaedic surgery residents did show an improvement with each year of additional training.

Entities:  

Mesh:

Year:  2008        PMID: 19093902

Source DB:  PubMed          Journal:  Bull NYU Hosp Jt Dis        ISSN: 1936-9719


  6 in total

1.  MRI appearance of the distal insertion of the anterior cruciate ligament of the knee: an additional criterion for ligament ruptures.

Authors:  G Oldrini; P Gondim Teixeira; A Chanson; M L Erpelding; B Osemont; M Louis; A Blum
Journal:  Skeletal Radiol       Date:  2012-09       Impact factor: 2.199

2.  Automated detection of anterior cruciate ligament tears using a deep convolutional neural network.

Authors:  Yusuke Minamoto; Ryuichiro Akagi; Satoshi Maki; Yuki Shiko; Ryosuke Tozawa; Seiji Kimura; Satoshi Yamaguchi; Yohei Kawasaki; Seiji Ohtori; Takahisa Sasho
Journal:  BMC Musculoskelet Disord       Date:  2022-06-15       Impact factor: 2.562

3.  Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF.

Authors:  Sefa Key; Mehmet Baygin; Sukru Demir; Sengul Dogan; Turker Tuncer
Journal:  J Digit Imaging       Date:  2022-01-19       Impact factor: 4.056

4.  Recommendations for additional imaging of abdominal imaging examinations: frequency, benefit, and cost.

Authors:  Sabine A Heinz; Thomas C Kwee; Derya Yakar
Journal:  Eur Radiol       Date:  2019-08-26       Impact factor: 5.315

5.  Sensitivity and Specificity of MRI in Diagnosing Concomitant Meniscal Injuries With Pediatric and Adolescent Acute ACL Tears.

Authors:  Brody J Dawkins; David A Kolin; Joshua Park; Peter D Fabricant; Allison Gilmore; Mark Seeley; R Justin Mistovich
Journal:  Orthop J Sports Med       Date:  2022-03-09

6.  Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Authors:  Nicholas Bien; Pranav Rajpurkar; Robyn L Ball; Jeremy Irvin; Allison Park; Erik Jones; Michael Bereket; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Safwan Halabi; Evan Zucker; Gary Fanton; Derek F Amanatullah; Christopher F Beaulieu; Geoffrey M Riley; Russell J Stewart; Francis G Blankenberg; David B Larson; Ricky H Jones; Curtis P Langlotz; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-27       Impact factor: 11.069

  6 in total

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