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25 results on '"Ravesloot, Cécile J."'

5. Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements

Author

Stuijfzand, Bobby G., Van Der Schaaf, Marieke F., Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, Vincken, Koen L., Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, Education and Learning: Development in Interaction, Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, and Education and Learning: Development in Interaction

Subjects
Medical education, Cognitive load, media_common.quotation_subject, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Structural equation modeling, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Arts and Humanities (miscellaneous), Volumetric image interpretation, Perception, Computer vision, Psychology(all), General Psychology, media_common, Eye tracking, business.industry, Interpretation (philosophy), 05 social sciences, Multilevel model, 050301 education, Eye movement, Cognition, Human-Computer Interaction, Artificial intelligence, business, Psychology, 0503 education, Cognitive psychology
Abstract

Medical image interpretation is moving from using 2D- to volumetric images, thereby changing the cognitive and perceptual processes involved. This is expected to affect medical students' experienced cognitive load, while learning image interpretation skills. With two studies this explorative research investigated whether measures inherent to image interpretation, i.e. human-computer interaction and eye tracking, relate to cognitive load. Subsequently, it investigated effects of volumetric image interpretation on second-year medical students' cognitive load. Study 1 measured human-computer interactions of participants during two volumetric image interpretation tasks. Using structural equation modelling, the latent variable 'volumetric image information' was identified from the data, which significantly predicted self-reported mental effort as a measure of cognitive load. Study 2 measured participants' eye movements during multiple 2D and volumetric image interpretation tasks. Multilevel analysis showed that time to locate a relevant structure in an image was significantly related to pupil dilation, as a proxy for cognitive load. It is discussed how combining human-computer interaction and eye tracking allows for comprehensive measurement of cognitive load. Combining such measures in a single model would allow for disentangling unique sources of cognitive load, leading to recommendations for implementation of volumetric image interpretation in the medical education curriculum. Display Omitted Image interpretation in medicine moved from 2D- to volumetric images.Cognitive load of students interpreting medical images affected.Human computer interaction and time to locate relevant area predict cognitive load.Insights useful for avoiding cognitive overload in medical curriculum.

Published
2016
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8. Predictors of Knowledge and Image Interpretation Skill Development in Radiology Residents

Author

Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, van Schaik, Jan P J, Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, and van Schaik, Jan P J

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.

Published
2017

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

Author

Leerstoel van Gog, Education and Learning: Development in Interaction, Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, van Schaik, Jan P J, Leerstoel van Gog, Education and Learning: Development in Interaction, Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, and van Schaik, Jan P J

Published
2017

10. Increasing Authenticity of Simulation-Based Assessment in Diagnostic Radiology

Author

MS Radiologie, Other research (not in main researchprogram), Arts-assistenten Radiologie, Circulatory Health, Beeldverwerking ISI, Brain, Cancer, Onderwijscentrum, Expertisecentrum Alg., Arts-Assistenten Onderwijs Radiologie, van der Gijp, Anouk, Ravesloot, Cécile J, Tipker, Corinne A, de Crom, Kim, Rutgers, DR, van der Schaaf, Marieke F, van der Schaaf, Irene C, Mol, Christian P, Vincken, Koen L, Ten Cate, Olle Th J, Maas, Mario, van Schaik, Jan P J, MS Radiologie, Other research (not in main researchprogram), Arts-assistenten Radiologie, Circulatory Health, Beeldverwerking ISI, Brain, Cancer, Onderwijscentrum, Expertisecentrum Alg., Arts-Assistenten Onderwijs Radiologie, van der Gijp, Anouk, Ravesloot, Cécile J, Tipker, Corinne A, de Crom, Kim, Rutgers, DR, van der Schaaf, Marieke F, van der Schaaf, Irene C, Mol, Christian P, Vincken, Koen L, Ten Cate, Olle Th J, Maas, Mario, and van Schaik, Jan P J

Published
2017

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

Author

Arts-assistenten Radiologie, Onderzoek Beeld, Other research (not in main researchprogram), Biostatistiek Onderwijs, JC onderzoeksprogramma Methodologie, MS Radiologie, Expertisecentrum Alg., Arts-Assistenten Onderwijs Radiologie, Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, van Schaik, Jan P J, Arts-assistenten Radiologie, Onderzoek Beeld, Other research (not in main researchprogram), Biostatistiek Onderwijs, JC onderzoeksprogramma Methodologie, MS Radiologie, Expertisecentrum Alg., Arts-Assistenten Onderwijs Radiologie, Ravesloot, Cécile J, van der Schaaf, Marieke F, Kruitwagen, Cas L J J, van der Gijp, Anouk, Rutgers, Dirk R, Haaring, Cees, Ten Cate, Olle, and van Schaik, Jan P J

Published
2017

13. Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements

Author

Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, Education and Learning: Development in Interaction, Stuijfzand, Bobby G., Van Der Schaaf, Marieke F., Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, Vincken, Koen L., Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, Education and Learning: Development in Interaction, Stuijfzand, Bobby G., Van Der Schaaf, Marieke F., Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, and Vincken, Koen L.

Published
2016

14. Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements

Author

UMC Utrecht, Other research (not in main researchprogram), MS Radiologie, Strategische Impuls RvB ISI, Brain, Cancer, Stuijfzand, Bobby G., van der Schaaf, Marieke F, Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, Vincken, Koen L., UMC Utrecht, Other research (not in main researchprogram), MS Radiologie, Strategische Impuls RvB ISI, Brain, Cancer, Stuijfzand, Bobby G., van der Schaaf, Marieke F, Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, and Vincken, Koen L.

Published
2016

15. The Importance of Human-Computer Interaction in Radiology E-learning

Author

Onderzoek Beeld, Circulatory Health, Arts-assistenten Radiologie, den Harder, Annemarie M, Frijlingh, Marissa, Ravesloot, Cécile J, Oosterbaan, Anne E, van der Gijp, Anouk, Onderzoek Beeld, Circulatory Health, Arts-assistenten Radiologie, den Harder, Annemarie M, Frijlingh, Marissa, Ravesloot, Cécile J, Oosterbaan, Anne E, and van der Gijp, Anouk

Published
2016

17. Volumetric CT-images improve testing of radiological image interpretation skills

Author

Ravesloot, Cécile J., Van Der Schaaf, Marieke F., Van Schaik, Jan P J, Ten Cate, Olle Th J, Van Der Gijp, Anouk, Mol, Christian P., Vincken, Koen L., Ravesloot, Cécile J., Van Der Schaaf, Marieke F., Van Schaik, Jan P J, Ten Cate, Olle Th J, Van Der Gijp, Anouk, Mol, Christian P., and Vincken, Koen L.

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.

Published
2015

18. Volumetric CT-images improve testing of radiological image interpretation skills

Author

Leerstoel van Gog, Education and Learning: Development in Interaction, Ravesloot, Cécile J., Van Der Schaaf, Marieke F., Van Schaik, Jan P J, Ten Cate, Olle Th J, Van Der Gijp, Anouk, Mol, Christian P., Vincken, Koen L., Leerstoel van Gog, Education and Learning: Development in Interaction, Ravesloot, Cécile J., Van Der Schaaf, Marieke F., Van Schaik, Jan P J, Ten Cate, Olle Th J, Van Der Gijp, Anouk, Mol, Christian P., and Vincken, Koen L.

Published
2015

19. Support for external validity of radiological anatomy tests using volumetric images

Author

Leerstoel Brekelmans, Education and Learning: Development in Interaction, Ravesloot, Cécile J., van der Gijp, Anouk, van der Schaaf, Marieke F., Huige, Josephine C B M, Vincken, Koen L., Mol, Christian P., Bleys, Ronald L A W, ten Cate, Olle T., van Schaik, Jan P J, Leerstoel Brekelmans, Education and Learning: Development in Interaction, Ravesloot, Cécile J., van der Gijp, Anouk, van der Schaaf, Marieke F., Huige, Josephine C B M, Vincken, Koen L., Mol, Christian P., Bleys, Ronald L A W, ten Cate, Olle T., and van Schaik, Jan P J

Published
2015

20. Volumetric and two-dimensional image interpretation show different cognitive processes in learners

Author

Leerstoel Brekelmans, Education and Learning: Development in Interaction, van der Gijp, Anouk, Ravesloot, Cécile J., van der Schaaf, Marieke F., van der Schaaf, Irene C., Huige, Josephine C B M, Vincken, Koen L., Ten Cate, Olle Th J, van Schaik, Jan P J, Leerstoel Brekelmans, Education and Learning: Development in Interaction, van der Gijp, Anouk, Ravesloot, Cécile J., van der Schaaf, Marieke F., van der Schaaf, Irene C., Huige, Josephine C B M, Vincken, Koen L., Ten Cate, Olle Th J, and van Schaik, Jan P J

Published
2015

23. Computed Tomography Pulmonary Angiography in Acute Pulmonary Embolism

Author

Wittenberg, Rianne, primary, Peters, Joost F., additional, van den Berk, Inge A.H., additional, Freling, Nicole J.M., additional, Lely, Rutger, additional, de Hoop, Bartjan, additional, Horsthuis, Karin, additional, Ravesloot, Cécile J., additional, Weber, Michael, additional, Prokop, W. Mathias, additional, and Schaefer-Prokop, Cornelia M., additional

Published
2013
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24. Increasing Authenticity of Simulation-Based Assessment in Diagnostic Radiology.

Author

van der Gijp A, Ravesloot CJ, Tipker CA, de Crom K, Rutgers DR, van der Schaaf MF, van der Schaaf IC, Mol CP, Vincken KL, Ten Cate OTJ, Maas M, and van Schaik JPJ

Subjects
Humans, Pilot Projects, Program Development, Program Evaluation, Clinical Decision-Making, Educational Measurement methods, Internship and Residency organization & administration, Radiology education, Simulation Training organization & administration
Abstract

Introduction: Clinical reasoning in diagnostic imaging professions is a complex skill that requires processing of visual information and image manipulation skills. We developed a digital simulation-based test method to increase authenticity of image interpretation skill assessment., Methods: A digital application, allowing volumetric image viewing and manipulation, was used for three test administrations of the national Dutch Radiology Progress Test for residents. This study describes the development and implementation process in three phases. To assess authenticity of the digital tests, perceived image quality and correspondence to clinical practice were evaluated and compared with previous paper-based tests (PTs). Quantitative and qualitative evaluation results were used to improve subsequent tests., Results: Authenticity of the first digital test was not rated higher than the PTs. Test characteristics and environmental conditions, such as image manipulation options and ambient lighting, were optimized based on participants' comments. After adjustments in the third digital test, participants favored the image quality and clinical correspondence of the digital image questions over paper-based image questions., Conclusions: Digital simulations can increase authenticity of diagnostic radiology assessments compared with paper-based testing. However, authenticity does not necessarily increase with higher fidelity. It can be challenging to simulate the image interpretation task of clinical practice in a large-scale assessment setting, because of technological limitations. Optimizing image manipulation options, the level of ambient light, time limits, and question types can help improve authenticity of simulation-based radiology assessments.

Published
2017
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25. Tests, Quizzes, and Self-Assessments: How to Construct a High-Quality Examination.

Author

van der Gijp A, Ravesloot CJ, Ten Cate OT, van Schaik JP, Webb EM, and Naeger DM

Subjects
Education, Medical, Continuing, Guidelines as Topic, Humans, Educational Measurement methods, Radiology education, Self-Assessment
Abstract

Objective: The purposes of this article are to highlight aspects of tests that increase or decrease their effectiveness and to provide guidelines for constructing high-quality tests in radiology., Conclusion: Many radiologists help construct tests for a variety of purposes. Only well-constructed tests can provide reliable and valuable information about the test taker.

Published
2016
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