Journal of Medical Radiation Sciences最新文献

{"title":"Students' Perceptions of Virtual Reality as Learning Tool in a Radiographic Technique Course.","authors":"Katrine Staurem Ingebrigtsen, Nina Hanger, Albertina Rusandu","doi":"10.1002/jmrs.868","DOIUrl":"https://doi.org/10.1002/jmrs.868","url":null,"abstract":"<p><strong>Introduction: </strong>Virtual reality (VR) has been increasingly recognised as a beneficial pedagogical tool in radiography education, particularly for skills training. This pilot study aims to gain insight into the viability of VR as a pedagogical instrument in a radiographic technique course within a Norwegian bachelor's programme in radiography by assessing users' experiences.</p><p><strong>Methods: </strong>A cross-sectional study was conducted involving all first-year radiography students from a single bachelor programme in Norway. The study included a preliminary survey to gauge students' expectations prior to their first VR session and a main survey following the completion of the course. The surveys assessed demographics, prior VR experience, experiences with the use of VR as a learning tool and possible improvements. VR training was facilitated using Skilitics radiography simulation software across six stations equipped with Oculus Rift VR gear.</p><p><strong>Results: </strong>Results indicated a significant difference between students' expectations and their actual experiences with VR in skills learning. While initial expectations were high, only 37% of students were content with VR training. Major issues highlighted included technical problems and limited pre-session training. Students expressed a preference for more VR stations, teacher guidance and better software features.</p><p><strong>Conclusion: </strong>Although VR holds potential as a supplementary tool in radiography education, the study identified several areas for improvement in the pedagogical approach. Pre-session training, teacher assistance during the training sessions and feedback after the session are recommended to maximise the educational benefits of VR in radiography skills training.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143189444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Evaluation of Treatment Time and Intrafraction Motion in Stereotactic Body Radiation Therapy.","authors":"Leila Rough, Julie Burbery, Catriona Hargrave, Elizabeth Brown","doi":"10.1002/jmrs.861","DOIUrl":"https://doi.org/10.1002/jmrs.861","url":null,"abstract":"<p><strong>Introduction: </strong>Image guided-radiation therapy (IGRT) protocols are adopted to ensure the accurate dose delivery of patient treatments. This is especially important in hypofractionated treatments, such as stereotactic body radiation therapy (SBRT), as high doses of radiation are delivered, and incorrect treatment can have a significant impact on tumour control and toxicity. This study aimed to establish mean treatment times from the localisation image to the post-treatment image in SBRT liver, lung and spine patients that utilised Elekta Intrafraction Imaging (IFI). The magnitude of intrafraction motion exhibited as time elapses during the treatment fraction was also determined.</p><p><strong>Methods: </strong>IGRT data for 20 SBRT patients was retrospectively collected, including imaging times and shifts made from each pre-, during and post-treatment cone-beam computed tomography (CBCT) scan. Total treatment fraction time, time between each image acquired and the 3D vector of the shifts were calculated. Descriptive statistical analysis was performed.</p><p><strong>Results: </strong>The IGRT data associated with 332 CBCT images was evaluated. The average treatment time was longest in the liver (19.3 min), followed by lung (14.9 min) and spine (14.2 min). Liver patients had a mean shift 3D vector (0.1 cm), with 7.8% of shifts > 0.3 cm. Lung patients had a mean vector of 0.1 cm with 3.8% > 0.3 cm, and spine patients had a mean vector of 0 cm with 0% > 0.2 cm. Vectors > 0.3 cm occurred at multiple imaging timepoints (range: 4.9-24.4 min) for liver and lung patients.</p><p><strong>Conclusion: </strong>Intrafraction imaging is required in liver and lung SBRT treatments to identify instances where clinical tolerances are exceeded.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143066039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Review on the Application of Artificial Intelligence for Predicting Postsurgical Recurrence Risk in Early-Stage Non-Small Cell Lung Cancer Using Computed Tomography, Positron Emission Tomography, and Clinical Data.","authors":"Ghazal Mehri-Kakavand, Sibusiso Mdletshe, Alan Wang","doi":"10.1002/jmrs.860","DOIUrl":"https://doi.org/10.1002/jmrs.860","url":null,"abstract":"<p><strong>Introduction: </strong>Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Despite advancements in early detection and treatment, postsurgical recurrence remains a significant challenge, occurring in 30%-55% of patients within 5 years after surgery. This review analysed existing studies on the utilisation of artificial intelligence (AI), incorporating CT, PET, and clinical data, for predicting recurrence risk in early-stage NSCLCs.</p><p><strong>Methods: </strong>A literature search was conducted across multiple databases, focusing on studies published between 2018 and 2024 that employed radiomics, machine learning, and deep learning based on preoperative positron emission tomography (PET), computed tomography (CT), and PET/CT, with or without clinical data integration. Sixteen studies met the inclusion criteria and were assessed for methodological quality using the METhodological RadiomICs Score (METRICS).</p><p><strong>Results: </strong>The reviewed studies demonstrated the potential of radiomics and AI models in predicting postoperative recurrence risk. Various approaches showed promising results, including handcrafted radiomics features, deep learning models, and multimodal models combining different imaging modalities with clinical data. However, several challenges and limitations were identified, such as small sample sizes, lack of external validation, interpretability issues, and the need for effective multimodal imaging techniques.</p><p><strong>Conclusions: </strong>Future research should focus on conducting larger, prospective, multicentre studies, improving data integration and interpretability, enhancing the fusion of imaging modalities, assessing clinical utility, standardising methodologies, and fostering collaboration among researchers and institutions. Addressing these aspects will advance the development of robust and generalizable AI models for predicting postsurgical recurrence risk in early-stage NSCLC, ultimately improving patient care and outcomes.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring MRI Safety Knowledge Among Physicians and Nurses in Saudi Arabia: Highlighting Knowledge Gaps and Key Influencing Factors.","authors":"Ibrahem Hussain Kanbayti","doi":"10.1002/jmrs.858","DOIUrl":"https://doi.org/10.1002/jmrs.858","url":null,"abstract":"<p><strong>Introduction: </strong>Magnetic resonance imaging (MRI) is a widely used diagnostic modality in healthcare settings, but it carries inherent safety risks. Understanding healthcare providers' knowledge of MRI safety is crucial for ensuring patient and staff safety. This study aimed to assess MRI safety knowledge among physicians and nurses and explore factors influencing this knowledge.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 387 nonimaging healthcare practitioners: physicians and nurses, from different healthcare sectors in Jeddah city. A structured questionnaire assessed their understanding of basic MRI concepts, projectile hazards and contrast media risks. Statistical analyses, including Student's t-test and ANOVA, were used to examine differences in knowledge scores.</p><p><strong>Results: </strong>Participants showed limited or poor knowledge across all MRI safety domains, including basic concepts, projectile hazards and contrast media risks, with domain knowledge scores of 31.8%, 33.7% and 32.3%, respectively. Factors having an impact on knowledge of MRI safety were the type of healthcare sector, qualification, work experience, attending workshops and whether the education curriculum included MRI safety (p ≤ 0.05).</p><p><strong>Conclusions: </strong>The study highlighted substantial deficits in MRI safety knowledge among nonimaging healthcare practitioners: physicians and nurses. Addressing these gaps through targeted education and training programs is essential for improving patient and staff safety in MRI settings.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ongoing impact of COVID-19 on the clinical education of Australian medical radiation science students.","authors":"Adam Steward, Stephen Lacey, Amy Gray, Christopher Parsons, Kenton Thompson, Nigel Anderson","doi":"10.1002/jmrs.847","DOIUrl":"https://doi.org/10.1002/jmrs.847","url":null,"abstract":"<p><strong>Introduction: </strong>The COVID-19 pandemic has had a significant and ongoing impact on health care, particularly for medical radiation science (MRS) professionals. There exist many studies that describe the negative effects of clinical placement restrictions and access to universities on the well-being of all health professional students during the pandemic. There also exists evidence of changes to MRS student teaching and impacts to students and academic clinical educators; however, there exists a paucity of research that investigates how changes have affected the performance of students within the clinical environment and entering the workforce. This study surveyed workplace MRS clinical educators within Australia to gather their perspectives regarding the impact of COVID-19 on student clinical education.</p><p><strong>Methods: </strong>A descriptive study comprising an online structured survey of 44 questions was provided to Medical Imaging and Radiation Therapy Clinical Educators across Australia.</p><p><strong>Results: </strong>A total of 55 survey responses were received. Of note, respondents described heavy reductions to student intake capacity, losses of clinical placement time, a noted theory-practice gap and possibility of sites 'failing to fail' students. Negative impacts to all domains of MRPBA professional capabilities, as well as a perceived unpreparedness to meet the MRPBA capabilities were described. There was general agreement that graduating students will require supportive periods upon entry into the profession.</p><p><strong>Conclusion: </strong>This study highlights the considerable impact of changes to the education and training of MRS students in response to COVID-19. The results pose a real concern for a generation of MRS students affected by the COVID-19 pandemic.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142978765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Pre-Examination Video Education in Gd-EOB-DTPA-Enhanced Liver MRI: Correspondence.","authors":"Hinpetch Daungsupawong, Viroj Wiwanitkit","doi":"10.1002/jmrs.856","DOIUrl":"https://doi.org/10.1002/jmrs.856","url":null,"abstract":"<p><p>This correspondence is in response to the article 'Impact of Pre-Examination Video Education in Gd-EOB-DTPA-Enhanced Liver MRI: A Comparative Study' (doi.org/10.1002/jmrs.833). The study provides valuable initial insights into the impact of video-based education. Further research in this area is recommended.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Proton Versus Photon Therapy: A Call for Nuanced Decision-Making.","authors":"Peter Gorayski, Hien Le, Frank Saran","doi":"10.1002/jmrs.855","DOIUrl":"https://doi.org/10.1002/jmrs.855","url":null,"abstract":"<p><p>This letter critically evaluates the conclusions drawn by Li et al. (https://doi.org/10.1002/jmrs.773) in their comparison of proton beam therapy (PBT) and photon irradiation for paediatric and young adult patients. While acknowledging the complexities of treatment selection, the authors argue that PBT's benefits, particularly in reducing radiation exposure to organs at risk, should be given greater consideration. The letter calls for a comprehensive, nuanced approach to treatment decisions, emphasising long-term outcomes and the reduction of potential late effects.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing chest radiographic quality and the influence of COVID-19 pathology: the Australian experience.","authors":"Peter O'Reilly, Dania Abu Awwad, Sarah Lewis, Ernest Ekpo, Warren Reed","doi":"10.1002/jmrs.852","DOIUrl":"https://doi.org/10.1002/jmrs.852","url":null,"abstract":"<p><strong>Introduction: </strong>Quality assurance (QA) in medical imaging ensures consistently high-quality images at acceptable radiation doses. However, the applicability of the chest X-ray (CXR) QA tool in images with pathology, particularly infectious diseases like COVID-19, has not been explored. This study examines the utility of the European Guidelines for image quality in QA of CXRs with varying severity and types of infectious disease.</p><p><strong>Methods: </strong>A convenient sampling methodology was employed to recruit 25 participants (qualified radiographers: n = 13 and 4th-year undergraduate radiography students: n = 12) to evaluate 70 CXR images using the European Guidelines for image quality in CXRs. The image dataset comprised of COVID-19 and non-COVID-19 cases, which were randomly selected to reflect routine clinical practice variability. Participants independently rated image quality based on 10 criteria in the European guidelines on quality criteria for CXRs using a six-point Likert scale. Image quality ratings of normal and pathological CXR images were compared using a Kruskal-Wallis test. Spearman's ranked order correlation was used to assess the association between quality criteria ratings.</p><p><strong>Results: </strong>CXRs with no pathology or non-COVID pathologies exhibited statistically higher total QA scores compared to CXRs with COVID-19 and indeterminate COVID-19 (P < 0.001). This trend was evident across various QA factors, especially those associated with patient inspiration. Higher levels of infection corresponded to lower QA ratings. No differences were found between different pathologies regarding the medial border of the scapulae being outside the lung fields.</p><p><strong>Conclusions: </strong>Severe pathology negatively impacts the technical quality of CXRs with COVID-19 features without necessarily affecting their diagnostic value. The findings emphasise the need to prioritise diagnostic ability over technical quality when evaluating CXRs exhibiting diffuse signs of pathology.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging theory and practice: Experiences of diagnostic radiography students during clinical training in resource-constrained settings.","authors":"Sylvia Shafuda, Edwin Daniels, Abel Karera","doi":"10.1002/jmrs.854","DOIUrl":"https://doi.org/10.1002/jmrs.854","url":null,"abstract":"<p><strong>Introduction: </strong>Clinical training is crucial for diagnostic radiography students, bridging theoretical knowledge with practical skills. In resource-constrained settings, this training may face unique challenges that might significantly impact learning outcomes and future practice. Despite its importance, the experiences of diagnostic radiography students during clinical placements remain understudied, particularly in Sub-Saharan Africa. This study aimed to explore and describe the experiences of diagnostic radiography students during clinical training at two resource-constrained Sub-Saharan public hospitals.</p><p><strong>Methods: </strong>A qualitative phenomenological study was conducted using face-to-face, semi-structured interviews with 18 diagnostic radiography students (six each from years 2 to 4) from one participating university. Interviews were audio-recorded, transcribed and analysed using thematic analysis. Trustworthiness was ensured through prolonged engagement, member checking, and researchers' reflexivity. Ethical approval was obtained before data collection commenced.</p><p><strong>Results: </strong>Three main themes were generated: (1) Clinical Environment Challenges, including equipment shortages and understaffing; (2) Independent Learning and Development, highlighting students' resilience and self-directed learning; and (3) Patient Care Impact, demonstrating students' commitment to quality care despite constraints. Students reported increased confidence and adaptability but also noted negative interactions with healthcare workers and supervision inconsistencies.</p><p><strong>Conclusions: </strong>Despite significant challenges, diagnostic radiography students demonstrated remarkable resilience and commitment to patient care. However, resource limitations and interprofessional issues pose substantial barriers to optimal learning experiences. These findings highlighted the need for targeted interventions in diagnostic radiography education within resource-constrained settings, including increased investment in equipment and staffing, enhanced interprofessional education, improved supervision models and curriculum enhancements fostering self-directed learning and resilience.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional intelligence evaluation tools used in allied health students: A scoping review.","authors":"Debra Lee, Tracy Burrows, Daphne James, Ross Wilkinson, Yolanda Surjan","doi":"10.1002/jmrs.851","DOIUrl":"https://doi.org/10.1002/jmrs.851","url":null,"abstract":"<p><strong>Introduction: </strong>Emotional intelligence (EI) is described as the ability to recognise and understand one's own emotions and the emotions of others, and empathically manage emotional responses. While historically not emphasised in undergraduate allied health sciences training, it is increasingly considered an essential graduate trait. This scoping review synthesises existing research on EI outcomes, specifically in undergraduate allied health professions students.</p><p><strong>Method: </strong>Four databases were searched in February 2024 using keywords relating to EI and empathy to identify studies published in English from 1990. Eligible studies needed to include assessment and reported outcomes using validated EI tools in health professions students.</p><p><strong>Results: </strong>A total of 163 papers met the inclusion criteria. Many studies employed a cross-sectional design (n = 115). Most studies (n = 135) focused on undergraduate students studying medicine (n = 62), nursing (n = 80) and dentistry (n = 13), with some studies (n = 21) evaluating more than one discipline. Many studies investigated one discipline only (n = 64 for nursing, n = 50 for medicine) using no comparator undergraduate degree. The most common EI models evaluated from this review were ability-based (n = 77), followed by trait-based models (n = 36) and mixed social-emotional competence (n = 35). Ability model evaluations of EI most commonly utilised the Schutte Self-Report Emotional Intelligence Test (SSEIT) (n = 44) and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) (n = 24).</p><p><strong>Conclusion: </strong>Research on EI among undergraduate allied health fields is limited. Existing literature reveals there is some consensus on the importance of EI in healthcare education, but there is considerable variability in how EI is measured. Studies suggest higher levels of EI may correlate with improved student professional skill development in clinical reasoning, empathy and stress management.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}