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Radiology resident competency in detecting basilar artery occlusion: a simulation-based assessment
Abheek G Raviprasad1, Kevin Pierre2, Scott A McGaugh3
1Department of Radiology, University of Florida College of Medicine, PO Box 100374, Gainesville, FL, 32610, USA. raviprasada@ufl.edu.
Radiology residents struggle to identify basilar artery occlusion on CT scans, with only 14% correctly diagnosing this critical condition. This highlights a potential gap in training for emergent stroke detection.
Area of Science:
- Neurology
- Radiology
- Medical Education
Background:
- Basilar artery strokes are uncommon but present distinct imaging characteristics.
- These findings can be easily missed, impacting patient outcomes.
- Early detection is crucial for timely intervention.
Purpose of the Study:
- To evaluate radiology residents' proficiency in detecting basilar artery occlusion on CT.
- To assess diagnostic accuracy in a simulated emergency radiology call setting.
Main Methods:
- Utilized the Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM).
- Assessed 454 residents using a single case of basilar artery occlusion over two testing years.
- Residents reviewed non-contrast CT images and provided free-text responses, manually scored by faculty.
Main Results:
- Basilar artery occlusion was significantly underdiagnosed across all training levels.
- An average of only 14% of residents correctly identified the condition.
- Diagnostic accuracy remained low irrespective of the residents' year of training.
Conclusions:
- A notable deficiency exists in radiology residency training regarding basilar artery occlusion detection.
- Increased educational focus on recognizing emergent CT findings of stroke is warranted.
- Improving resident performance in identifying critical vascular events is essential.
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