Literature DB >> 29397268

Common Resident Errors When Interpreting Computed Tomography of the Abdomen and Pelvis: A Review of Types, Pitfalls, and Strategies for Improvement.

Benjamin Wildman-Tobriner1, Brian C Allen2, Charles M Maxfield2.   

Abstract

OBJECTIVE: The purpose of this study was to identify common errors that radiology residents make when interpreting abdominopelvic (AP) computed tomography (CT) while on call, to review the typical imaging findings of these cases, and to discuss strategies for improvement.
MATERIALS AND METHODS: AP (or chest, abdomen, pelvis) CTs from 518 weekend senior call shifts (R3 or R4) were retrospectively reviewed. Discrepancies between preliminary and final reports were identified and then rated by whether the miss could impact short-term management. The imaging findings from the cases were reviewed.
RESULTS: A total of 4695 CTs were reviewed, revealing a total of 145 discrepancies that could affect short-term clinical management (miss rate 3.1%). The most common misses were related to blood clots (13.8%), colitis (8.3%), misplaced lines or tubes (6.9%), or pyelonephritis (5.5%). Common pitfalls and strategies from improved detection are discussed using image examples.
CONCLUSIONS: Through increased attention to the vasculature, colon, devices, and kidneys, trainees may improve their discrepancy rates and improve on-call reporting.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29397268     DOI: 10.1067/j.cpradiol.2017.12.010

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  7 in total

1.  Evaluation of neuroradiology emergency MRI interpretations: low discrepancy rates between on-call radiology residents' preliminary interpretations and neuroradiologists' final reports.

Authors:  Diana Salca; François Lersy; Thibault Willaume; Marie Stoessel; Agnieszka Lefèvre; François-Daniel Ardellier; Caroline Nicolaï; Abtine Nouri; Seyyid Baloglu; Guillaume Bierry; Agathe Chammas; Stéphane Kremer
Journal:  Eur Radiol       Date:  2022-04-18       Impact factor: 7.034

2.  Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers.

Authors:  Yu Li; Hongfei Cao; Carla M Allen; Xin Wang; Sanda Erdelez; Chi-Ren Shyu
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

3.  The integration of radiology curriculum in undergraduate medical education.

Authors:  Leen Abu Serhan; Muhammad Junaid Tahir; Sara Irshaidat; Hashem Abu Serhan; Irfan Ullah; Hassan Mumtaz; Zohaib Yousaf; Osamah Alwalid
Journal:  Ann Med Surg (Lond)       Date:  2022-07-31

4.  Results of the 2019 Survey of the American Alliance of Academic Chief Residents in Radiology.

Authors:  David H Ballard; Danielle Summers; Mark J Hoegger; Amber Salter; Jennifer E Gould
Journal:  Acad Radiol       Date:  2020-06-14       Impact factor: 5.482

5.  Discrepancies in interpretation of night-time emergency computed tomography scans by radiology residents.

Authors:  Elias Vaattovaara; Marko Nikki; Mika Nevalainen; Mervi Ilmarinen; Osmo Tervonen
Journal:  Acta Radiol Open       Date:  2018-10-22

6.  Validation of an informatics tool to assess resident's progress in developing reporting skills.

Authors:  Facundo N Diaz; Marina Ulla
Journal:  Insights Imaging       Date:  2019-09-23

7.  The Back Alleys and Dark Corners of Abdomen and Pelvis Computed Tomography: The Most Frequent Sites of Missed Findings in the Multiplanar Era.

Authors:  Mark A Kliewer; Mikala R Brinkman; J Louis Hinshaw
Journal:  J Clin Imaging Sci       Date:  2020-11-02
  7 in total

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