Literature DB >> 16039542

Predicting radiology resident errors in diagnosis of cervical spine fractures.

Dhawal Goradia1, C Craige Blackmore, Lee B Talner, Mark Bittles, Emily Meshberg.   

Abstract

RATIONALE AND
OBJECTIVES: Our objective was to identify factors associated with resident errors of cervical spine fractures to enable targeted education.
MATERIALS AND METHODS: We performed a retrospective cohort study of consecutive cases of after-hours resident interpreted cervical spine fractures over 27 months at a single level 1 academic trauma center. The outcome measure was appropriate identification of all fractures by the resident. Potential predictors of resident error or discrepancy were identified from chart review and included: age, gender; fracture location/pattern (upper/lower cervical spine, occipital condyle, C1 ring, dens, C2 pars, vertebral body, posterior column, lateral mass, transverse process); consecutive and nonconsecutive additional fractures; radiologist distracting factors (number of noncervical spine injuries); number of noncervical spine studies performed. Risk ratios with confidence intervals were calculated for categorical variables using epidemiological 2 x 2 tables, and for continuous variables using difference of means.
RESULTS: There were 59 errors among 492 cervical spine fractures in a total of 327 patients. Fifty-seven of the errors were on computed tomography and 2 errors were on radiographs. Upper cervical fractures were significantly more likely to have been errors than lower cervical fractures: risk ratio (RR) of 2.2 (confidence intervals (CI) 1.3, 3.5; P = .001). Occipital condyle fractures were more likely to have been discrepant: RR = 2.2 (CI 1.3, 3.9; P = .006). Dens fractures were also significantly more likely to have been discrepant: RR = 2.0 (CI 1.0, 3.8; P = .05). Other potential predictors were not associated with significantly increased risk.
CONCLUSION: Upper cervical spine fractures, in particular occipital condyle and dens fractures were significantly associated with an increased relative risk of resident missing or misinterpreting the fracture. These findings suggest that resident education should focus in particular on upper cervical spine injuries, occipital condyle, and dens fractures. The methods used in this study could also be applied to other imaging modalities and anatomic regions in the future to target resident education to more challenging areas.

Entities:  

Mesh:

Year:  2005        PMID: 16039542     DOI: 10.1016/j.acra.2005.04.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  First year radiology residents not taking call: will there be a difference?

Authors:  William M Strub; James L Leach; Jun Ying; Achala Vagal
Journal:  Emerg Radiol       Date:  2007-01-25

2.  Risk Factors for Perceptual-versus-Interpretative Errors in Diagnostic Neuroradiology.

Authors:  S H Patel; C L Stanton; S G Miller; J T Patrie; J N Itri; T M Shepherd
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-11       Impact factor: 3.825

3.  A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

Authors:  Lee-Ren Yeh; Yang Zhang; Jeon-Hor Chen; Yan-Lin Liu; An-Chi Wang; Jie-Yu Yang; Wei-Cheng Yeh; Chiu-Shih Cheng; Li-Kuang Chen; Min-Ying Su
Journal:  Eur Spine J       Date:  2022-01-28       Impact factor: 2.721

4.  Clinical relevance of occipital condyle fractures.

Authors:  Stijn J van der Burg; Martin H Pouw; Monique Brink; Helena Dekker; Henricus P M Kunst; Allard J F Hosman
Journal:  J Craniovertebr Junction Spine       Date:  2020-08-14

5.  Overnight preliminary head CT interpretations provided by residents: locations of misidentified intracranial hemorrhage.

Authors:  W M Strub; J L Leach; T Tomsick; A Vagal
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-20       Impact factor: 3.825

  5 in total

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