Running a Radiology Residency Program: Strategies for Success

Sarkany, David; Shenoy-Bhangle, Anuradha S.; Catanzano, Tara; Fineberg, Tabitha; Eisenberg, Ronald L.; Slanetz, Priscilla J.

doi:10.1148/rg.2018180016

Cited by 17 publications

(8 citation statements)

References 33 publications

(28 reference statements)

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“…Moreover, applicants get a chance to familiarize themselves with the overall culture of the residency and judge whether their sensibilities fall in line with the existing social and academic environment (read: assess their “fit”) ( 4 ). This is important because “fit” is often regarded as the critical intangible factor that applicants must seek out to find the residency program where they will be most likely to thrive ( 5 , 6 ).…”

Section: Introductionmentioning

confidence: 99%

Incorporation of a Social Virtual Reality Platform into the Residency Recruitment Season

Guichet¹,

Huang²,

Zhan³

et al. 2022

Academic Radiology

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Section: Introductionmentioning

confidence: 99%

Incorporation of a Social Virtual Reality Platform into the Residency Recruitment Season

Guichet¹,

Huang²,

Zhan³

et al. 2022

Academic Radiology

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“…This includes the well-established concept of supervision, which means that the reports of residents in training are checked and discussed by subspecialized radiologists. 4,5 However, a remaining question is what specific impact a supervision has on reports which are already prepared based on predefined terms and classifiers according to NI-RADS.…”

Section: Introductionmentioning

confidence: 99%

Impact of double reading on NI-RADS diagnostic accuracy in reporting oral squamous cell carcinoma surveillance imaging – a single-center study

Elsholtz

Shnayien

et al. 2022

Dentomaxillofacial Radiology

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Objectives: The Neck Imaging Reporting and Data System (NI-RADS) is an increasingly utilized risk stratification tool for imaging surveillance after treatment for head and neck cancer. This study aims to measure the impact of supervision by subspecialized radiologists on diagnostic accuracy of NI-RADS when initial reading is performed by residents. Methods: 150 CT and MRI datasets were initially read by two trained residents, and then supervised by two subspecialized radiologists. Recurrence rates by NI-RADS category were calculated, and receiver operating characteristic (ROC) curves were plotted. After dichotomization of the NI-RADS system (category 1 vs categories 2 + 3+4 and categories 1 + 2 vs 3 + 4), sensitivity, specificity, positive and negative predictive value were calculated. Results: 26% of the reports were modified by the supervising radiologists. Area under the curve of ROC plots values of the supervision session were higher than those of the initial reading session for both the primary site (0.89 vs 0.86) and the neck (0.94 vs 0.91), but the difference was not statistically significant. For dichotomized NI-RADS category assignments, differences between the initial reading and the supervision session were statistically significant regarding specificity and PPV for the primary site (1 + 2 vs 3 + 4 and 1 vs 2 + 3+4) or even for both sites combined (1 vs 2 + 3+4). Conclusion: NI-RADS enables trained resident radiologists to report surveillance imaging in patients with treated oral squamous cell carcinoma with high discriminatory power. Additional supervision by a subspecialized head and neck radiologist particularly improves specificity of radiological reports.

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“…The primary goal of a residency program is to graduate prepared and professional radiologists who are able to add value to the health care team and radiology departments must invest time and money to provide innovative educational opportunities [1].…”

Section: Introductionmentioning

confidence: 99%

Electronic Platform-based Education for Radiology Residents: Results of a Two-Year Survey

Quaia

2022

Preprint

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Background Electronic platform-based resident education is increasing. The aim of this study was to identify the most reliable predictor variables related to the usage of electronic platform-based educational material for radiology residents which can predict a successful final year multiple choice test. Methods A two year survey was conducted based on the records of an electronic platform-based educational material for radiology residents. Radiology resident education was based on the educational content of two educational electronic platform databases. A pool of questions were addressed by each resident after reading the content of each electronic section related to a specific topic. A per-resident analysis was performed between the number of per-topic addressed questions and number of electronic platform content access, in terms of login access number, during the academic year (predictor variables) and final percentage of correct answers on final year electronic test (outcome variable). Statistical significance (p < 0.05) was determined using correlation analysis. Results Total login times (OR, 3; 95% CI, 2.2 -4), login frequency per month (OR, 4; 95% CI, 3.1–5.3), the number of per-topic addressed questions (OR, 3; 95% CI, 2.2 -4), and the number of topic-verified correct answers to multiple choice test (OR, 30.5; 95% CI, 12.8–80.9) all showed a statistically significant correlation with final percentage of correct answers on final year electronic test. Conclusion The number of correct answers to multiple choice test was related to the number and frequency of login access number, the number of per-topic addressed questions and the number of topic-verified correct answers to multiple choice test. The electronic-based educational material contributes significantly to a successful radiology residency program.

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Running a Radiology Residency Program: Strategies for Success

Cited by 17 publications

References 33 publications

Incorporation of a Social Virtual Reality Platform into the Residency Recruitment Season

Incorporation of a Social Virtual Reality Platform into the Residency Recruitment Season

Impact of double reading on NI-RADS diagnostic accuracy in reporting oral squamous cell carcinoma surveillance imaging – a single-center study

Electronic Platform-based Education for Radiology Residents: Results of a Two-Year Survey

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