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

Abdullah Ben Awadh1, Jill Clark2, Gavin Clowry1

  • 1Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

Anatomical Sciences Education
|December 28, 2020
PubMed
Summary
This summary is machine-generated.

A new multimodal approach combining digital and physical models significantly improved medical students' ability to interpret thoracic cross-sectional anatomy. This method made complex anatomical imaging less challenging for novices.

Keywords:
Gross anatomy educationclinical imagingdigital anatomymedical educationradiologic anatomyradiology educationsectional anatomythree-dimensional imaging techniquestopographic anatomy

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Area of Science:

  • Medical Education
  • Anatomical Imaging
  • Radiology

Background:

  • Interpreting complex 3D spatial relationships in cross-sectional and radiological images presents challenges for novice medical students.
  • Integrated anatomy and radiology education can support undergraduate learning, but novel strategies are needed to enhance understanding.
  • Technology-enhanced and multimodal learning approaches are valuable for anatomical education.

Purpose of the Study:

  • To investigate if simultaneous digital and physical learning enhances student understanding of cross-sectional anatomy.
  • To compare a multimodal intervention with a 2D cross-section control group in medical education.
  • To assess student perceptions of challenging anatomical areas in undergraduate medical training.

Main Methods:

  • A mixed-method approach combining experimental and survey designs was employed.
  • A novel multimodal intervention utilized visualization tables, digital models, and 3D printed hearts for thoracic anatomy.
  • Student perceptions and performance were compared between the multimodal intervention and a 2D cross-section control group.

Main Results:

  • Clinical imaging was perceived as significantly more challenging than surface and gross anatomy by medical students (P < 0.001).
  • The multimodal intervention group showed significant improvements in thoracic cross-sectional anatomy interpretation performance (P < 0.001).
  • Students found interpreting thoracic cross-sectional images less challenging after the multimodal intervention compared to abdominal images.

Conclusions:

  • Multimodal learning strategies, integrating digital and physical resources, can effectively enhance the interpretation of cross-sectional anatomy for medical students.
  • This approach may reduce the perceived difficulty of complex anatomical imaging, particularly for thoracic structures.
  • Findings suggest implications for optimizing cross-sectional anatomy learning within medical curricula through innovative pedagogical methods.