Cécile J Ravesloot1, Marieke F van der Schaaf2, Jan P J van Schaik3, Olle Th J ten Cate4, Anouk van der Gijp5, Christian P Mol6, Koen L Vincken7. 1. Radiology Department at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, Room E01.132, The Netherlands. Electronic address: C.J.Ravesloot@umcutrecht.nl. 2. Department of Pedagogical and Educational Sciences at Utrecht University, Heidelberglaan 1, 3584 CS Utrecht, The Netherlands. Electronic address: M.F.vanderSchaaf@uu.nl. 3. Radiology Department at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, Room E01.132, The Netherlands. Electronic address: J.P.J.vanSchaik@umcutrecht.nl. 4. Center for Research and Development of Education at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands. Electronic address: T.J.tenCate@umcutrecht.nl. 5. Radiology Department at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, Room E01.132, The Netherlands. Electronic address: A.vanderGijp-2@umcutrecht.nl. 6. Image Sciences Institute at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands. Electronic address: C.Mol@umcutrecht.nl. 7. Image Sciences Institute at University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands. Electronic address: K.Vincken@umcutrecht.nl.
Abstract
RATIONALE AND OBJECTIVES: Current radiology practice increasingly involves interpretation of volumetric data sets. In contrast, most radiology tests still contain only 2D images. We introduced a new testing tool that allows for stack viewing of volumetric images in our undergraduate radiology program. We hypothesized that tests with volumetric CT-images enhance test quality, in comparison with traditional completely 2D image-based tests, because they might better reflect required skills for clinical practice. MATERIALS AND METHODS: Two groups of medical students (n=139; n=143), trained with 2D and volumetric CT-images, took a digital radiology test in two versions (A and B), each containing both 2D and volumetric CT-image questions. In a questionnaire, they were asked to comment on the representativeness for clinical practice, difficulty and user-friendliness of the test questions and testing program. Students' test scores and reliabilities, measured with Cronbach's alpha, of 2D and volumetric CT-image tests were compared. RESULTS: Estimated reliabilities (Cronbach's alphas) were higher for volumetric CT-image scores (version A: .51 and version B: .54), than for 2D CT-image scores (version A: .24 and version B: .37). Participants found volumetric CT-image tests more representative of clinical practice, and considered them to be less difficult than volumetric CT-image questions. However, in one version (A), volumetric CT-image scores (M 80.9, SD 14.8) were significantly lower than 2D CT-image scores (M 88.4, SD 10.4) (p<.001). The volumetric CT-image testing program was considered user-friendly. CONCLUSION: This study shows that volumetric image questions can be successfully integrated in students' radiology testing. Results suggests that the inclusion of volumetric CT-images might improve the quality of radiology tests by positively impacting perceived representativeness for clinical practice and increasing reliability of the test.
RATIONALE AND OBJECTIVES: Current radiology practice increasingly involves interpretation of volumetric data sets. In contrast, most radiology tests still contain only 2D images. We introduced a new testing tool that allows for stack viewing of volumetric images in our undergraduate radiology program. We hypothesized that tests with volumetric CT-images enhance test quality, in comparison with traditional completely 2D image-based tests, because they might better reflect required skills for clinical practice. MATERIALS AND METHODS: Two groups of medical students (n=139; n=143), trained with 2D and volumetric CT-images, took a digital radiology test in two versions (A and B), each containing both 2D and volumetric CT-image questions. In a questionnaire, they were asked to comment on the representativeness for clinical practice, difficulty and user-friendliness of the test questions and testing program. Students' test scores and reliabilities, measured with Cronbach's alpha, of 2D and volumetric CT-image tests were compared. RESULTS: Estimated reliabilities (Cronbach's alphas) were higher for volumetric CT-image scores (version A: .51 and version B: .54), than for 2D CT-image scores (version A: .24 and version B: .37). Participants found volumetric CT-image tests more representative of clinical practice, and considered them to be less difficult than volumetric CT-image questions. However, in one version (A), volumetric CT-image scores (M 80.9, SD 14.8) were significantly lower than 2D CT-image scores (M 88.4, SD 10.4) (p<.001). The volumetric CT-image testing program was considered user-friendly. CONCLUSION: This study shows that volumetric image questions can be successfully integrated in students' radiology testing. Results suggests that the inclusion of volumetric CT-images might improve the quality of radiology tests by positively impacting perceived representativeness for clinical practice and increasing reliability of the test.
Authors: D R Rutgers; J P J van Schaik; C L J J Kruitwagen; C Haaring; W van Lankeren; A F van Raamt; O Ten Cate Journal: Med Sci Educ Date: 2020-05-13
Authors: Annemarie M den Harder; Marissa Frijlingh; Cécile J Ravesloot; Anne E Oosterbaan; Anouk van der Gijp Journal: J Digit Imaging Date: 2016-04 Impact factor: 4.056
Authors: D R Rutgers; F van Raamt; W van Lankeren; C J Ravesloot; A van der Gijp; Th J Ten Cate; J P J van Schaik Journal: Eur Radiol Date: 2017-12-01 Impact factor: 5.315
Authors: Larissa den Boer; Marieke F van der Schaaf; Koen L Vincken; Chris P Mol; Bobby G Stuijfzand; Anouk van der Gijp Journal: Adv Health Sci Educ Theory Pract Date: 2018-05-16 Impact factor: 3.853