Evaluating discrepancy rates of radiology resident provisional reports for cross-sectional body imaging studies at a tertiary hospital

PROCEEDINGS OF SINGAPORE HEALTHCARE(2022)

引用 0|浏览2
暂无评分
摘要
Introduction: Urgent radiological studies obtained during on-call hours are often preliminarily read by on-call residents before consultant radiologists finalise the reports at a later time. Such provisional radiology reports provide important information to guide initial patient management. This study aims to determine discrepancy rates between provisional reports and final interpretations, and to assess the clinical significance of such discrepancies. Methods: This retrospective quality assurance project reviewed a total of 1218 cross-sectional imaging studies of the body (thorax, abdomen and pelvis) done between July 2015 and May 2016 during on-call hours. The studies included 1201 Computed tomography (CT) scans and 17 Magnetic Resonance Imaging (MRI) scans. Studies with incomplete or unavailable reports were excluded. Conclusions of both the provisional and final reports of each study were reviewed for concordance, with reference to the full report if needed. Discrepancies were graded according to the ACR 2016 RADPEER scoring system. Results: There were 1210 studies with complete reports. Discrepant reports were noted in 183 (15.1%) studies. Of these, 89 (7.3%) were assessed to be clinically significant and the majority of these (55) were due to interpretations which should be made most of the time. CT of the abdomen and pelvis were the most prone to discrepant reports, accounting for 148 cases (80.9%). Conclusion: The majority of preliminary reports for on-call body scans were concordant with final interpretations. The discrepancy rates for provisional body scan reports provided by residents while on call were comparable to those previously reported in literature.
更多
查看译文
关键词
Diagnostic radiology, body imaging, cross-sectional imaging, discrepancy rates, residency training
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要