{"title":"日本放射技术二年级学生基于增强现实和传统放射定位训练方法的比较。","authors":"Shin Nagamata","doi":"10.1002/jmrs.70019","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>In Japanese training schools for radiologic technologists, improving students' practical skills presents an educational challenge. To address this issue, an augmented reality (AR)-based visual assistance tool for radiographic positioning training was developed. This study aimed to evaluate and compare the effectiveness of a previously developed AR tool with conventional training methods.</p><p><strong>Methods: </strong>Fifty-seven second-year radiologic technology students were randomly divided into two groups: an experimental group (n = 29) trained with AR and a control group (n = 28) trained with physical auxiliary tools. Both groups practised positioning the torso at 35° and 45° for 1.5 min each. The timeframe aligned with the typical time allocated to each student during traditional hands-on training. Proficiency tests were conducted 1 and 4 weeks after training to evaluate the accuracy of the angles.</p><p><strong>Results: </strong>In the test conducted 1 week after training, the experimental group demonstrated significantly smaller errors than the control group (p = 0.002). However, in the test administered 4 weeks after training, although the experimental group continued to show smaller errors, the difference was not statistically significant (p = 0.066).</p><p><strong>Conclusion: </strong>AR-based training can enhance radiographic positioning training. However, a single brief session is considered insufficient for maintaining long-term learning effects. Continuous use of AR is warranted for achieving long-term educational effectiveness. Future research is needed to optimise AR training methods and determine the impact on students' clinical training performance and postgraduate proficiency.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Augmented Reality-Based and Conventional Training Methods for Radiographic Positioning in Second-Year Radiologic Technology Students in Japan.\",\"authors\":\"Shin Nagamata\",\"doi\":\"10.1002/jmrs.70019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>In Japanese training schools for radiologic technologists, improving students' practical skills presents an educational challenge. To address this issue, an augmented reality (AR)-based visual assistance tool for radiographic positioning training was developed. This study aimed to evaluate and compare the effectiveness of a previously developed AR tool with conventional training methods.</p><p><strong>Methods: </strong>Fifty-seven second-year radiologic technology students were randomly divided into two groups: an experimental group (n = 29) trained with AR and a control group (n = 28) trained with physical auxiliary tools. Both groups practised positioning the torso at 35° and 45° for 1.5 min each. The timeframe aligned with the typical time allocated to each student during traditional hands-on training. Proficiency tests were conducted 1 and 4 weeks after training to evaluate the accuracy of the angles.</p><p><strong>Results: </strong>In the test conducted 1 week after training, the experimental group demonstrated significantly smaller errors than the control group (p = 0.002). However, in the test administered 4 weeks after training, although the experimental group continued to show smaller errors, the difference was not statistically significant (p = 0.066).</p><p><strong>Conclusion: </strong>AR-based training can enhance radiographic positioning training. However, a single brief session is considered insufficient for maintaining long-term learning effects. Continuous use of AR is warranted for achieving long-term educational effectiveness. Future research is needed to optimise AR training methods and determine the impact on students' clinical training performance and postgraduate proficiency.</p>\",\"PeriodicalId\":16382,\"journal\":{\"name\":\"Journal of Medical Radiation Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Radiation Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/jmrs.70019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jmrs.70019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Comparison of Augmented Reality-Based and Conventional Training Methods for Radiographic Positioning in Second-Year Radiologic Technology Students in Japan.
Introduction: In Japanese training schools for radiologic technologists, improving students' practical skills presents an educational challenge. To address this issue, an augmented reality (AR)-based visual assistance tool for radiographic positioning training was developed. This study aimed to evaluate and compare the effectiveness of a previously developed AR tool with conventional training methods.
Methods: Fifty-seven second-year radiologic technology students were randomly divided into two groups: an experimental group (n = 29) trained with AR and a control group (n = 28) trained with physical auxiliary tools. Both groups practised positioning the torso at 35° and 45° for 1.5 min each. The timeframe aligned with the typical time allocated to each student during traditional hands-on training. Proficiency tests were conducted 1 and 4 weeks after training to evaluate the accuracy of the angles.
Results: In the test conducted 1 week after training, the experimental group demonstrated significantly smaller errors than the control group (p = 0.002). However, in the test administered 4 weeks after training, although the experimental group continued to show smaller errors, the difference was not statistically significant (p = 0.066).
Conclusion: AR-based training can enhance radiographic positioning training. However, a single brief session is considered insufficient for maintaining long-term learning effects. Continuous use of AR is warranted for achieving long-term educational effectiveness. Future research is needed to optimise AR training methods and determine the impact on students' clinical training performance and postgraduate proficiency.
期刊介绍:
Journal of Medical Radiation Sciences (JMRS) is an international and multidisciplinary peer-reviewed journal that accepts manuscripts related to medical imaging / diagnostic radiography, radiation therapy, nuclear medicine, medical ultrasound / sonography, and the complementary disciplines of medical physics, radiology, radiation oncology, nursing, psychology and sociology. Manuscripts may take the form of: original articles, review articles, commentary articles, technical evaluations, case series and case studies. JMRS promotes excellence in international medical radiation science by the publication of contemporary and advanced research that encourages the adoption of the best clinical, scientific and educational practices in international communities. JMRS is the official professional journal of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT).