Literature DB >> 27322975

The Development of Expertise in Radiology: In Chest Radiograph Interpretation, "Expert" Search Pattern May Predate "Expert" Levels of Diagnostic Accuracy for Pneumothorax Identification.

Brendan S Kelly1, Louise A Rainford1, Sarah P Darcy1, Eoin C Kavanagh1, Rachel J Toomey1.   

Abstract

Purpose To investigate the development of chest radiograph interpretation skill through medical training by measuring both diagnostic accuracy and eye movements during visual search. Materials and Methods An institutional exemption from full ethical review was granted for the study. Five consultant radiologists were deemed the reference expert group, and four radiology registrars, five senior house officers (SHOs), and six interns formed four clinician groups. Participants were shown 30 chest radiographs, 14 of which had a pneumothorax, and were asked to give their level of confidence as to whether a pneumothorax was present. Receiver operating characteristic (ROC) curve analysis was carried out on diagnostic decisions. Eye movements were recorded with a Tobii TX300 (Tobii Technology, Stockholm, Sweden) eye tracker. Four eye-tracking metrics were analyzed. Variables were compared to identify any differences between groups. All data were compared by using the Friedman nonparametric method. Results The average area under the ROC curve for the groups increased with experience (0.947 for consultants, 0.792 for registrars, 0.693 for SHOs, and 0.659 for interns; P = .009). A significant difference in diagnostic accuracy was found between consultants and registrars (P = .046). All four eye-tracking metrics decreased with experience, and there were significant differences between registrars and SHOs. Total reading time decreased with experience; it was significantly lower for registrars compared with SHOs (P = .046) and for SHOs compared with interns (P = .025). Conclusion Chest radiograph interpretation skill increased with experience, both in terms of diagnostic accuracy and visual search. The observed level of experience at which there was a significant difference was higher for diagnostic accuracy than for eye-tracking metrics. (©) RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27322975     DOI: 10.1148/radiol.2016150409

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  21 in total

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Authors:  Katherine Clark; L Lam; N J Talley; G Watts; J L Phillips; N J Byfieldt; D C Currow
Journal:  Support Care Cancer       Date:  2018-05-07       Impact factor: 3.603

2.  The Radiologist's Gaze: Mapping Three-Dimensional Visual Search in Computed Tomography of the Abdomen and Pelvis.

Authors:  Linda C Kelahan; Allan Fong; Joseph Blumenthal; Swaminathan Kandaswamy; Raj M Ratwani; Ross W Filice
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

3.  Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma?

Authors:  Linda M Pak; Mithat Gonen; Kenneth Seier; Vinod P Balachandran; Michael I D'Angelica; William R Jarnagin; T Peter Kingham; Peter J Allen; Richard K G Do; Amber L Simpson
Journal:  Abdom Radiol (NY)       Date:  2018-08

4.  Eye-Tracking Technology to Determine Procedural Proficiency in Ultrasound-Guided Regional Anesthesia.

Authors:  G Andrew Wright; Rahool Patel; Koraly Perez-Edgar; Xiaoxue Fu; Kayla Brown; Sanjib Adhikary; Adrian Zurca
Journal:  J Educ Perioper Med       Date:  2022-01-01

5.  ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs.

Authors:  Manav Gakhar; Apeksha Aggarwal
Journal:  Phys Eng Sci Med       Date:  2022-05-30

6.  Cognitive load and processes during chest radiograph interpretation in the emergency department across the spectrum of expertise.

Authors:  Michael Morra; Heather Braund; Andrew K Hall; Adam Szulewski
Journal:  AEM Educ Train       Date:  2021-08-01

7.  Image interpretation: Learning analytics-informed education opportunities.

Authors:  Elana Thau; Manuela Perez; Martin V Pusic; Martin Pecaric; David Rizzuti; Kathy Boutis
Journal:  AEM Educ Train       Date:  2021-04-01

8.  Characteristics of expert search behavior in volumetric medical image interpretation.

Authors:  Lauren H Williams; Ann J Carrigan; Megan Mills; William F Auffermann; Anina N Rich; Trafton Drew
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-14

9.  Influence of radiology expertise on the perception of nonmedical images.

Authors:  Brendan Kelly; Louise A Rainford; Mark F McEntee; Eoin C Kavanagh
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-11

10.  Perceptual Learning of Appendicitis Diagnosis in Radiological Images.

Authors:  Ian Andrew Johnston; Mohan Ji; Aaron Cochrane; Zachary Demko; Jessica B Robbins; Jason W Stephenson; C Shawn Green
Journal:  J Vis       Date:  2020-08-03       Impact factor: 2.240

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