Literature DB >> 28398873

Predictors of Knowledge and Image Interpretation Skill Development in Radiology Residents.

Cécile J Ravesloot1, Marieke F van der Schaaf1, Cas L J J Kruitwagen1, Anouk van der Gijp1, Dirk R Rutgers1, Cees Haaring1, Olle Ten Cate1, Jan P J van Schaik1.   

Abstract

Purpose To investigate knowledge and image interpretation skill development in residency by studying scores on knowledge and image questions on radiology tests, mediated by the training environment. Materials and Methods Ethical approval for the study was obtained from the ethical review board of the Netherlands Association for Medical Education. Longitudinal test data of 577 of 2884 radiology residents who took semiannual progress tests during 5 years were retrospectively analyzed by using a nonlinear mixed-effects model taking training length as input variable. Tests included nonimage and image questions that assessed knowledge and image interpretation skill. Hypothesized predictors were hospital type (academic or nonacademic), training hospital, enrollment age, sex, and test date. Results Scores showed a curvilinear growth during residency. Image scores increased faster during the first 3 years of residency and reached a higher maximum than knowledge scores (55.8% vs 45.1%). The slope of image score development versus knowledge question scores of 1st-year residents was 16.8% versus 12.4%, respectively. Training hospital environment appeared to be an important predictor in both knowledge and image interpretation skill development (maximum score difference between training hospitals was 23.2%; P < .001). Conclusion Expertise developed rapidly in the initial years of radiology residency and leveled off in the 3rd and 4th training year. The shape of the curve was mainly influenced by the specific training hospital. © RSNA, 2017 Online supplemental material is available for this article.

Mesh:

Year:  2017        PMID: 28398873     DOI: 10.1148/radiol.2017152648

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


  6 in total

1.  Diagnosis in a snap: a pilot study using Snapchat in radiologic didactics.

Authors:  Bradley Spieler; Catherine Batte; Dane Mackey; Caitlin Henry; Raman Danrad; Carl Sabottke; Claude Pirtle; Jason Mussell; Eric Wallace
Journal:  Emerg Radiol       Date:  2020-07-30

2.  Resident and Faculty Attitudes Toward the Dutch Radiology Progress Test as It Transitions from a Formative to a Summative Measure of Licensure Eligibility.

Authors:  D R Rutgers; J P J van Schaik; W van Lankeren; F van Raamt; Th J Ten Cate
Journal:  Med Sci Educ       Date:  2018-08-17

3.  Evaluation of a new e-learning framework for teaching nuclear medicine and radiology to undergraduate medical students.

Authors:  Ankush Gulati; Thomas Schwarzlmüller; Elsa du Plessis; Eirik Søfteland; Robert Gray; Martin Biermann
Journal:  Acta Radiol Open       Date:  2019-07-18

4.  Medical knowledge and clinical productivity: independently correlated metrics during radiology residency.

Authors:  Zahraa S A Alkhalaf; Derya Yakar; Jan Cees de Groot; Rudi A J O Dierckx; Thomas C Kwee
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

Review 5.  The augmented radiologist: artificial intelligence in the practice of radiology.

Authors:  Erich Sorantin; Michael G Grasser; Ariane Hemmelmayr; Sebastian Tschauner; Franko Hrzic; Veronika Weiss; Jana Lacekova; Andreas Holzinger
Journal:  Pediatr Radiol       Date:  2021-10-19

6.  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

  6 in total

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