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Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 1, 2025
Date Accepted: Apr 29, 2026

The final, peer-reviewed published version of this preprint can be found here:

Virtual Reality–Based Training in Radiologic Technology for Contrast-Enhanced Computed Tomography Brain Imaging: Randomized Controlled Trial

Cheewakul J, Ina N, Kanpanluek P, Khamruang Marshall S, Chaichulee S

Virtual Reality–Based Training in Radiologic Technology for Contrast-Enhanced Computed Tomography Brain Imaging: Randomized Controlled Trial

JMIR Form Res 2026;10:e88735

DOI: 10.2196/88735

PMID: 42190262

Virtual Reality–Based Training in Radiologic Technology for Contrast-Enhanced CT Brain Imaging: Randomized Controlled Trial

  • Jongwat Cheewakul; 
  • Natee Ina; 
  • Pichapat Kanpanluek; 
  • Suphalak Khamruang Marshall; 
  • Sitthichok Chaichulee

ABSTRACT

Background:

Radiologic Technology (RT) education faces challenges in bridging theory and practice due to limited clinical opportunities. While Virtual Reality (VR) enables safe and repeatable practice, a systematic instructional design framework is needed to develop scalable, procedure-focused modules.

Objective:

This study evaluates the Radiologic Technology Virtual Reality (RTVR) framework that integrates 360-degree video capture, instructional overlays, interactive assets, and an immersive content authoring platform to deliver a contrast-enhanced CT (CECT) brain scan module.

Methods:

Thirty-six RT students were randomized to VR or conventional instruction groups in a randomized-controlled pretest–posttest study. Evaluation measures included expert validation, knowledge assessments, physiological measures, and surveys of technology acceptance and satisfaction.

Results:

Experts validated the module as suitable and highly appropriate. Students reported high technology acceptance and satisfaction. Both VR and conventional methods produced substantial gains in declarative knowledge, and the VR module achieved knowledge outcomes comparable to traditional instruction. Year 2 students showed greater improvement than Year 3 students. Physiological monitoring showed a reduction in heart rate across the learning session while blood pressure remained stable, and an exploratory analysis identified a moderate negative correlation between increases in systolic blood pressure during VR immersion and learning gains. While VR cannot fully replicate tactile skills or patient communication, the RTVR framework reduces logistical barriers by using real 360-degree video capture rather than custom computer-generated models.

Conclusions:

These findings support integrating immersive technologies as complementary tools within blended RT curricula, providing safe, repeatable practice and helping bridge the theory–practice gap.


 Citation

Please cite as:

Cheewakul J, Ina N, Kanpanluek P, Khamruang Marshall S, Chaichulee S

Virtual Reality–Based Training in Radiologic Technology for Contrast-Enhanced Computed Tomography Brain Imaging: Randomized Controlled Trial

JMIR Form Res 2026;10:e88735

DOI: 10.2196/88735

PMID: 42190262

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