Expertise development in volumetric image interpretation of radiology residents: what do longitudinal scroll data reveal?

Abstract The current study used theories on expertise development (the holistic model of image perception and the information reduction hypothesis) as a starting point to identify and explore potentially relevant process measures to monitor and evaluate expertise development in radiology residency training. It is the first to examine expertise development in volumetric image interpretation (i.e., CT scans) within radiology residents using scroll data collected longitudinally over five years of residency training. Consistent with the holistic model of image perception, the percentage of time spent on full runs, i.e. scrolling through more than 50% of the CT-scan slices (global search), decreased within residents over residency training years. Furthermore, the percentage of time spent on question-relevant areas in the CT scans increased within residents over residency training years, consistent with the information reduction hypothesis. Second, we examined if scroll patterns can predict diagnostic accuracy. The percentage of time spent on full runs and the percentage of time spent on question-relevant areas did not predict diagnostic accuracy. Thus, although scroll patterns over training years are consistent with visual expertise theories, they could not be used as predictors of diagnostic accuracy in the current study. Therefore, the relation between scroll patterns and performance needs to be further examined, before process measures can be used to monitor and evaluate expertise development in radiology residency training.

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Artificial Intelligence in Radiology Residency Training

Seminars in Musculoskeletal Radiology ◽

10.1055/s-0039-3400270 ◽

2020 ◽

Vol 24 (01) ◽

pp. 74-80 ◽

Cited By ~ 1

Author(s):

Michael C. Forney ◽

Aaron F. McBride

Keyword(s):

Artificial Intelligence ◽

Residency Training ◽

Training Programs ◽

Emerging Technology ◽

Radiology Training ◽

Radiology Residency ◽

Radiology Residents

AbstractArtificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the field of radiology. AI will certainly have an impact on the day-to-day work of radiologists in the coming decades, thus training programs must prepare radiology residents adequately for their future careers. Radiology training programs should aim to give residents an understanding of the fundamentals and types of AI in radiology, the broad areas AI can be applied in radiology, how to assess AI applications in radiology, and resources available to build their knowledge in IA applications in radiology.

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Radiology residency training in diagnostic sonography.

Journal of Ultrasound in Medicine ◽

10.7863/jum.1989.8.9.475 ◽

1989 ◽

Vol 8 (9) ◽

pp. 475-475 ◽

Cited By ~ 6

Author(s):

R A Filly

Keyword(s):

Residency Training ◽

Radiology Residency

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Section Editor's Notebook: Using Self-Assessment Modules to Document Milestone Achievement in Radiology Residency Training

American Journal of Roentgenology ◽

10.2214/ajr.13.11452 ◽

2013 ◽

Vol 201 (6) ◽

pp. 1184-1185 ◽

Cited By ~ 2

Author(s):

Annemarie Relyea-Chew ◽

Felix S. Chew

Keyword(s):

Residency Training ◽

Self Assessment ◽

Radiology Residency

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Expanded Scope of Practice Fellowships for Radiologists: a Survey of Interest Amongst Current Canadian Radiology Residents

10.1101/626770 ◽

2019 ◽

Author(s):

Joseph J Barfett ◽

Errol Colak ◽

Christopher U Smith ◽

Paraskevi Vlachou ◽

Aren Mnatzakanian ◽

...

Keyword(s):

Emergency Medicine ◽

Interventional Radiology ◽

Sports Medicine ◽

Patient Management ◽

Fellowship Training ◽

Scope Of Practice ◽

Vascular Medicine ◽

Radiology Residency ◽

Radiology Residents ◽

Direct Management

AbstractRationale and ObjectivesRadiology residents acquire a diverse educational experience and skill set, including a general internship year, which may enable the direct management of patients. In order for radiology residents to define new scopes of practice, however, additional fellowship training may in certain instances be warranted.Materials and MethodsUsing the Canadian family medicine Enhanced Skills Program as a model, we conducted a Canada-wide survey of radiology residents to assess interest in additional fellowship training to expand their scope of practice.ResultsOur results indicate that a majority of residents (69.2%) would like to routinely see patients in clinic and more than half (52%) are willing to undergo an additional year of fellowship to enhance their skill set. The most popular choices for such fellowships were sports medicine (22.8%), emergency medicine (19.6%) and vascular medicine (18.5%). In addition, a majority (52.9%) of residents felt capable of offering incidentaloma clinics without additional training beyond their core radiology residency.ConclusionTraditional diagnostic and interventional radiology fellowships must be reconsidered to reflect the interests and capabilities of modern radiology trainees. Expansion of training options into the domain of direct patient management will likely prove popular among current residents.

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Effectiveness of a 12-Month Emergency Radiology Curriculum for Improving Self-Confidence and Competence of Postgraduate Year 1 Radiology Residents—A Canadian Study

Canadian Association of Radiologists Journal ◽

10.1177/0846537120941382 ◽

2020 ◽

pp. 084653712094138

Author(s):

Hilary Strong ◽

Mary Beth Bissell ◽

Jennifer Collins ◽

Angus Hartery

Keyword(s):

Emergency Radiology ◽

Statistical Significance ◽

Online Curriculum ◽

Learning Modules ◽

Self Confidence ◽

The Face ◽

General Competence ◽

Radiology Residency ◽

Competency Based ◽

Radiology Residents

Purpose: Limited radiology curriculum during postgraduate year 1 of radiology residency combined with increasing workloads during emergency radiology call have contributed to heightened anxiety and responsibilities for junior residents. This study aimed to evaluate the effectiveness of a 12-month emergency radiology curriculum on self-rated confidence and general competence of Canadian postgraduate year 1 radiology residents. Methods: A cohort of Canadian postgraduate year 1 Diagnostic Radiology residents voluntarily enrolled in a 12-month self-directed online emergency radiology curriculum (9 modules). Participants completed pretest and posttest surveys and examinations to gauge their self-rated competence on module material and knowledge acquisition, respectively. Average pretest and posttest scores were compared using Student 2-tailed unpaired t test, and Likert data from self-reported confidence were compared using a Mann Whitney U test. Statistical significance was defined as P < .05. Results: Sixty-six trainees completed at least 1 module, and 15 trainees completed all 9 modules. Both self-rated confidence and posttest scores were statistically higher after module completion ( P < .001) for all 9 learning modules. The greatest improvement in test scores was seen in the female genitourinary module (28.12 ± 3.018; difference between pretest and posttest means ± SEM). Conclusions: Our study demonstrates learning benefits for junior radiology trainees who participated in a self-directed online emergency radiology curriculum during postgraduate year 1. In the face of ever-increasing demands for imaging in on-call settings across Canada, inclusion of a self-directed online curriculum may become more important for upcoming competency-based medical education as it encourages a learner-driven and non-time-based method of education.

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Development of competence in volumetric image interpretation in radiology residents

BMC Medical Education ◽

10.1186/s12909-019-1549-3 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

D. R. Rutgers ◽

F. van Raamt ◽

Th. J. ten Cate

Keyword(s):

Image Interpretation ◽

Radiology Residents

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Burnout in Canadian Radiology Residency: A National Assessment of Prevalence and Underlying Contributory Factors

Canadian Association of Radiologists Journal ◽

10.1177/0846537119885672 ◽

2020 ◽

Vol 71 (1) ◽

pp. 40-47 ◽

Cited By ~ 3

Author(s):

Craig Ferguson ◽

Gavin Low ◽

Gillian Shiau

Keyword(s):

Categorical Data ◽

Response Rate ◽

Maslach Burnout Inventory ◽

Spearman Correlation ◽

Contributing Factors ◽

National Assessment ◽

Variance Test ◽

Contributory Factors ◽

Radiology Residency ◽

Radiology Residents

Objective: To determine burnout prevalence in Canadian radiology residency and identify contributing factors. Materials and Methods: A prospective 57-item survey, including the 22-item Maslach Burnout Inventory-Health Sciences Survey, was sent to all Canadian radiology residents, with a total resident population of 359. The association between emotional exhaustion (EE), depersonalization (DP), and personal achievement (PA) scores with items in the survey was performed. Continuous data were evaluated using the Student t test for comparing the means between the 2 groups or the analysis of variance test for comparing the means between at least 3 groups. Spearman correlation coefficient was performed when evaluating ordinal categorical data. Results: Response rate is 40.1% (n = 144); 50.7% of residents demonstrate high EE, 48.6% demonstrate high DP, and 35.9% demonstrate low PA. Being unhappy with residency and with radiology as a career is associated with burnout ( P < .001). Age, sex, marital status, and children have no impact on burnout. More hours worked is associated with higher EE ( P = .025) and DP ( P = .004). In all, 47.2% residents experienced intimidation or harassment. Feeling unsupported by staff radiologists is associated with higher EE ( P < .001), higher DP ( P = .001), and lower PA ( P = .008). In all, 45.1% of residents have poor work–life balance, and those residents demonstrate higher EE ( P < .001), higher DP ( P = .006), and lower PA ( P = .01). In all, 25% of residents identify poor education-service balance in their residency, and those residents have higher EE ( P < .001), higher DP ( P = .042), and lower PA ( P = .005). Conclusion: This study demonstrates significant burnout in Canadian radiology residents with major contributory factors identified.

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