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Multimodal Three‐Dimensional Visualization Enhances Novice Learner Interpretation of Basic Cross‐Sectional Anatomy

Abdullah ben Awadh, Jill Clark, Gavin J. Clowry, Iain D. Keenan

2020Anatomical Sciences Education51 citationsDOI

Abstract

While integrated delivery of anatomy and radiology can support undergraduate anatomical education, the interpretation of complex three-dimensional spatial relationships in cross-sectional and radiological images is likely to be demanding for novices. Due to the value of technology-enhanced and multimodal strategies, it was hypothesized that simultaneous digital and physical learning could enhance student understanding of cross-sectional anatomy. A novel learning approach introduced at a United Kingdom university medical school combined visualization table-based thoracic cross-sections and digital models with a three-dimensional printed heart. A mixed-method experimental and survey approach investigated student perceptions of challenging anatomical areas and compared the multimodal intervention to a two-dimensional cross-section control. Analysis of seven-point Likert-type responses of new medical students (n = 319) found that clinical imaging (mean 5.64 SD ± 1.20) was significantly more challenging (P < 0.001) than surface anatomy (4.19 ± 1.31) and gross anatomy (4.92 ± 1.22). Pre-post testing of students who used the intervention during their first anatomy class at medical school (n = 229), identified significant increases (P < 0.001) in thoracic cross-sectional anatomy interpretation performance (mean 31.4% ± 15.3) when compared to the subsequent abdominal control activity (24.1% ± 17.6). Student test scores were independent of mental-rotation ability. As depicted on a seven-point Likert-type scale, the intervention may have contributed to students considering cross-sectional interpretation of thoracic images (4.2 ± 1.23) as significantly less challenging (P < 0.001) than comparable abdominal images (5.59 ± 1.14). These findings could have implications for how multimodal cross-sectional anatomy learning approaches are implemented within medical curricula.

Topics & Concepts

Gross anatomyLikert scaleCross-sectional studySurface anatomyMedicineVisualizationAnatomyPsychologyMedical physicsPathologyComputer scienceArtificial intelligenceDevelopmental psychologyAnatomy and Medical TechnologySurgical Simulation and TrainingInnovations in Medical Education