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Assessing the neuroanatomy knowledge and spatial ability of radiotherapy technologist undergraduates using an interactive volumetric simulation tool—the RadioLOG project

Authors :
Emilien Micard
Romain Tonnelet
Pedro Texeira
Marc Fauvel
Florence Beuret
Guillaume Vogin
Marie-Line Androni
Nicolas Gillet
Gabriela Hossu
Marine Beaumont
Elisabeth Moerschel
Karine Feltgen
Institut de Cancérologie de Lorraine - Alexis Vautrin [Nancy] (UNICANCER/ICL)
UNICANCER
Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT)
Centre d'investigation clinique [Nancy] (CIC)
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Imagerie Adaptative Diagnostique et Interventionnelle (IADI)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)
Lycée Jean Rostand [Strasbourg]
Partenaires INRAE
Centre Hospitalier Universitaire de Reims (CHU Reims)
Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy]
Source :
European Radiology, European Radiology, Springer Verlag, 2021, 31 (4), pp.2132-2143. ⟨10.1007/s00330-020-07351-1⟩
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

International audience; Objective: To assess the use of a volumetric image display simulation tool (VDST) for the evaluation of applied radiological neuroanatomy knowledge and spatial understanding of radiotherapy technologist (RTT) undergraduates.Methods: Ninety-two third-year RTT students from three French RTT schools took an examination using software that allows visualization of multiple volumetric image series. To serve as a reference, 77 first- and second-year undergraduates, as well as ten senior neuroradiologists, took the same examination. The test included 13 very-short-answer questions (VSAQ) and 21 exercises in which examinees positioned markers onto preloaded brain MR images from a healthy volunteer. The response time was limited. Each correct answer scored 100 points, with a maximum possible test score of 3,400 (VSAQ = 1,300; marker exercise = 2,100). Answers were marked automatically for the marker positioning exercise and semi-automatically for the VSAQs against prerecorded expected answers.Results: Overall, the mean test score was 1,787 (150-3,300) and the standard deviation was 781. Scores were highly significantly different between all evaluated groups (p < 0.001). The interoperator reproducibility was 0.90. All the evaluated groups could be discriminated by VSAQ, marker, and overall total scores independently (p ≤ 0.0001 to 0.001). The test was able to discriminate between the three schools either by VSAQ scores (p < 0.001 to 0.02) or by overall total score (p < 0.001 to 0.05).Conclusion: This software is a high-quality evaluation tool for the assessment of radiological neuroanatomy knowledge and spatial understanding in RTT undergraduates.Key points: • This VDST allows volumetric image analysis of MR studies. • A high reliability test could be created with this tool. • Test scores were strongly associated with the examinee expertise level.

Details

ISSN :
14321084 and 09387994
Volume :
31
Database :
OpenAIRE
Journal :
European Radiology
Accession number :
edsair.doi.dedup.....e4740295dc5fdd4cf0955bf339a38361
Full Text :
https://doi.org/10.1007/s00330-020-07351-1