Journal of Medical Radiation Sciences最新文献

{"title":"Managing and Preventing Placement-Based Fatigue in Radiography and Allied Health Students: A Narrative Review.","authors":"Yalindi Binduhewa, Vicki Braithwaite, Therese Gunn","doi":"10.1002/jmrs.70131","DOIUrl":"10.1002/jmrs.70131","url":null,"abstract":"<p><p>Clinical placement plays a key role in the education of allied health students by providing real-world experiences required to develop professional competence and confidence. For radiography students, extensive unpaid clinical placements form a substantial component of professional training. Despite their educational value, clinical placements expose students to physical, emotional, and financial stressors that may contribute to fatigue. This narrative review aimed to investigate current and potential support systems, alternatives to placement, and healthy coping strategies available to radiography and allied health students to assist in the prevention and management of placement-based fatigue. A structured literature search of PubMed, EMBASE, ScienceDirect, and CINAHL databases was undertaken, supplemented by grey literature searching. The limited literature supports that mindfulness and resilience workshops as well as exercise and therapeutic touch are potential interventions for managing placement-based fatigue. These practices were found to decrease fatigue along with fatigue-related symptoms such as stress and emotional exhaustion. The availability of appropriate financial aid systems was also identified as a solution to preventing placement-based fatigue. Integrated simulated placement was additionally found to be a possible alternative to placement, but potentially difficult to implement. The limited evidence suggests that the management and prevention of placement-based fatigue in allied health students have several potential interventions. However, more research needs to be conducted to study the effects of these interventions, particularly on radiography students and third- and fourth-year allied health students to gain a more comprehensive understanding of the impact of these interventions.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13671377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149194869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary Clinical Evaluation in Cross-Sectional Imaging: A Qualitative Inquiry Into the Ethical Considerations in the Era of Artificial Intelligence.","authors":"Messiah N K Anudjo, Sharon Docherty, Theophilus N Akudjedu","doi":"10.1002/jmrs.70132","DOIUrl":"10.1002/jmrs.70132","url":null,"abstract":"<p><strong>Introduction: </strong>The evolving role of radiographers in Preliminary Clinical Evaluation (PCE), alongside the integration of artificial intelligence (AI) into radiography workflows, is reshaping professional boundaries and enhancing patient care. However, this introduces ethical challenges that may impact PCE performance. This study explored the perspectives of cross-sectional imaging radiographers on the ethical dimensions of PCE and the potential impact of AI on the future practice of PCE.</p><p><strong>Method: </strong>A descriptive qualitative inquiry employing semi-structured interviews was conducted. A Purposive sampling method was used to recruit twelve cross-sectional imaging radiographers in a postgraduate medical imaging course at a UK university. Data were analysed using inductive reflexive thematic analysis with NVivo (v.20.0).</p><p><strong>Results: </strong>Participants' clinical experience ranged (2 to 8 years), with 50% (n = 6) employed in public hospitals and the rest in private or mixed settings. Half (n = 6) had expertise in both CT/MRI and the rest in CT only. Notably, 42% (n = 5) practised in multiple countries. Two main themes were developed: (1) Ethical considerations of PCE with subthemes surrounding privacy and confidentiality, communication boundaries, and legal compliance. (2) Prospects of human-centred PCE in the era of AI, with subthemes including augmentation and support, workflow efficiency, PCE validation and quality assurance.</p><p><strong>Conclusion: </strong>Participants shared relevant ethical principles underpinning PCE practice and are cautiously optimistic about the potential impact of AI on PCE. Incorporation of PCE-specific ethics into radiography education and practice is necessary to ensure consistency, accountability and safety. Cautious integration of AI into radiography practice workflows is recommended to avoid professional deskilling and to preserve expertise.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662886/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shared Governance for Effective Clinical Education in Medical Radiation Science: A Narrative Review.","authors":"Jacob Leonard Ago, Bismark Ofori-Manteaw, Minh Chau, Theophilus N Akudjedu, Yobelli Jimenez, Elio Arruzza, Kelly Bentley-Spuur","doi":"10.1002/jmrs.70138","DOIUrl":"10.1002/jmrs.70138","url":null,"abstract":"<p><p>Medical radiation science (MRS) education operates within a rapidly evolving healthcare environment characterised by technological advancement, workforce pressures, and increasing regulatory oversight. Effective governance structures are therefore required to ensure that educational programs remain clinically relevant, compliant with accreditation standards, and responsive to students' wellbeing and patient safety imperatives. This review examines the role of shared governance in facilitating institutional effectiveness, regulatory alignment, and sustainable workforce and clinical education. Literature addressing governance theory, MRS education, clinical supervision, accreditation standards, and professional regulation was prioritised in this review. Twenty-four sources were included and organised across three areas: clinical education and workforce sustainability; professional and regulatory standards; and shared-governance theory. The literature rarely used the term 'shared governance' explicitly in relation to MRS education. Nevertheless, it consistently described distributed responsibilities, interdependence between universities and clinical services, and the need for stakeholder participation in curriculum review, placement planning, assessment, quality assurance and regulatory alignment. Unique vulnerabilities of medical radiation practice, such as rapid technological advancement and global workforce shortages, necessitate agile and inclusive governance structure, especially in settings without clearly outlined governance framework. The review proposes a tri-integrated model linking academic, clinical, and professional/regulatory governance, with students participating across all three domains. This model offers a practical basis for clarifying roles, improving university-health service coordination, supporting sustainable clinical placements, and maintaining educational quality and patient safety.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13668328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuing Professional Development-Medical Imaging.","authors":"","doi":"10.1002/jmrs.70134","DOIUrl":"10.1002/jmrs.70134","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149166210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuing Professional Development-Radiation Therapy.","authors":"","doi":"10.1002/jmrs.70136","DOIUrl":"10.1002/jmrs.70136","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13650658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149136969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiation-Related Knowledge and Attitudes Toward Medical Imaging Among the General Population in Iraq: A Cross-Sectional Survey.","authors":"Walid Al-Qerem, Aiham Assie Hammood, Alaa Hussein Alsajri, Anan Jarab, Judith Eberhardt, Lama Sawaftah","doi":"10.1002/jmrs.70123","DOIUrl":"10.1002/jmrs.70123","url":null,"abstract":"<p><strong>Introduction: </strong>Medical imaging is widely used in Iraq, but evidence regarding public knowledge of radiation-related risks and attitudes toward radiation safety and communication is limited. This study assessed radiation-related knowledge, attitudes, safety practices, and information provision among adults in Iraq, and examined associated factors.</p><p><strong>Methods: </strong>A cross-sectional online convenience survey was conducted among 1274 adults in Iraq. Participants were recruited through a Google Forms link distributed via Facebook, WhatsApp, Viber, and Telegram. The questionnaire assessed demographics, previous radiation exposure, radiation-related knowledge, attitudes toward radiation safety, and information-seeking practices. Knowledge and attitude scores were analysed using descriptive statistics and quantile regression.</p><p><strong>Results: </strong>The sample was evenly distributed by sex and was predominantly aged 18-30 years (n = 786, 61.7%) and urban residents (n = 830, 65.1%). Median knowledge was 5/10 (IQR: 3-7) and median attitude was 17/25 (IQR: 15-18). Most participants recognized cancer and reproductive risks associated with radiation exposure, but important knowledge gaps remained regarding CT dose equivalence and the non-ionizing nature of MRI. Participants generally reported cautious attitudes toward repeated radiation exposure and positive views toward radiation-safety education, although perceptions of warning signs and direct communication with healthcare professionals were less favourable. No demographic, educational, work/study-field, residence, or radiation-exposure variable was significantly associated with knowledge in the adjusted model, whereas a higher knowledge score and female gender were associated with higher attitude scores.</p><p><strong>Conclusions: </strong>Substantial gaps in radiation-related understanding persist despite widespread imaging use. Attitudes toward radiation safety were generally cautious and supportive of education, but direct engagement with healthcare professionals was limited. Structured patient education and clearer communication about imaging benefits, risks, and safety measures may improve radiation literacy and informed attitudes toward medical imaging.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13625136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149081104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When the Number Matters: Contextualising Australian Reference Values for ⁹⁹ᵐTc-Pertechnetate Thyroid Uptake.","authors":"Geoffrey Schembri, Jeremy Hoang","doi":"10.1002/jmrs.70129","DOIUrl":"10.1002/jmrs.70129","url":null,"abstract":"<p><p>Are the historical 1%-4% thyroid uptake reference values still valid in modern practice? This editorial examines why contemporary Australian and international data suggest otherwise and situates the new reference range reported by Wornes (https://doi.org/10.1002/jmrs.70078) and colleagues within the broader international literature. It further identifies the one clinical scenario-distinguishing mild Graves' disease from silent thyroiditis-where quantitative uptake measurement genuinely changes management and argues for a nationally coordinated, prospectively designed re-derivation study.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13625149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149081063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic Radiographers' Application of the Radiation Protection Principles of Justification, Optimisation and Dose Limits in Mpumalanga Province, South Africa.","authors":"Wandile Witness Mkhonza, Shantel Lewis, Nicole Robyn Badriparsad","doi":"10.1002/jmrs.70122","DOIUrl":"10.1002/jmrs.70122","url":null,"abstract":"<p><strong>Introduction: </strong>The effective application of radiation protection principles is essential for minimising unnecessary radiation exposure and reducing associated risks to patients, personnel, and the public. This study investigated the application of radiation protection principles by diagnostic radiographers in Mpumalanga province, South Africa.</p><p><strong>Methods: </strong>The quantitative cross-sectional study employed stratified random sampling and an online questionnaire to collect data from diagnostic radiographers working in Mpumalanga hospitals. The data were analysed using descriptive and inferential statistics.</p><p><strong>Results: </strong>The survey achieved a response rate of 85.6% (n = 125, N = 146). Most participants (38.4%, n = 48) had 0-5 years of work experience. Referral forms often lacked sufficient clinical history (64.8%, n = 81), with diagnostic radiographers frequently supplementing by assessing the body region of concern (49.2%, n = 60). Lack of communication between radiologists and diagnostic radiographers was noted when referrals were incomplete (31.3%, n = 36) or when requested examinations did not correspond with the clinical history (32.8%, n = 38). Most participants (66.4%, n = 81) felt undervalued due to hierarchical structures. Most X-ray rooms had functional warning lights (80%, n = 84). Full lead shields (98.1%, n = 102) were widely accessible, and lead goggles (33.7%, n = 34) were the least accessible. Although most participants were issued with personal radiation monitoring devices (97.1%, n = 99), only 53.5% (n = 53) reported consistent use, and 33.3% (n = 32) received radiation dose readings.</p><p><strong>Conclusion: </strong>The application of radiation protection principles was inconsistent. Justification was achieved through referral assessment but was compromised by systemic barriers. Optimisation demonstrated suitable room designs but was limited by resource accessibility. Dose limitation was hindered by device usage and feedback despite high issuance.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13625152/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149081099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Learning and Machine Learning Algorithms for Cervical Cancer Segmentation on MRI: A Systematic Review.","authors":"Somayeh Haji Ahmadi, Sina Soltan Mohammadi, Abolfazl Koozari, Mohammadreza Elhaie","doi":"10.1002/jmrs.70127","DOIUrl":"10.1002/jmrs.70127","url":null,"abstract":"<p><strong>Introduction: </strong>Cervical cancer management relies heavily on magnetic resonance imaging (MRI) for staging and treatment planning; however, manual segmentation is time-consuming and prone to variability. This systematic review aimed to evaluate the performance and clinical potential of machine learning (ML) and deep learning (DL) algorithms for automated cervical cancer segmentation on MRI.</p><p><strong>Methods: </strong>A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (PROSPERO: CRD420251247441) was conducted by searching PubMed/MEDLINE, Embase, Scopus, Web of Science, IEEE Xplore, and Google Scholar until December 2025. Two reviewers independently screened studies, extracted data, and assessed risk of bias using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). MRI-based segmentation studies were primarily included, while computed tomography (CT)- and positron emission tomography (PET)-based multimodal studies were analysed as complementary evidence. Due to substantial heterogeneity, findings were synthesized narratively, and certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework.</p><p><strong>Results: </strong>Thirty studies were included, mainly evaluating segmentation of tumours, high-risk clinical target volumes, and organs at risk. DL models, particularly U-Net variants, convolutional neural networks, and transformer-based architectures, demonstrated promising performance, with reported Dice similarity coefficients ranging from 0.60 to 0.93. However, performance varied according to target structure, tumour characteristics, and imaging protocols. Overall risk of bias showed \"some concerns,\" mainly due to patient selection, reference standards, and limited external validation. GRADE assessment indicated low certainty of evidence due to heterogeneity, methodological limitations, and imprecision.</p><p><strong>Conclusion: </strong>ML and DL algorithms show promising potential for automated cervical cancer segmentation on MRI, with potential benefits for efficiency and reproducibility. However, further multicenter studies with standardized protocols and external validation are required before routine clinical implementation.</p><p><strong>Trial registration: </strong>PRISMA guidelines and was prospectively registered in PROSPERO: CRD420251247441.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13617261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149069098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Isolation to Integration: Harnessing Restorative Clinical Supervision Within the A-EQUIP Model to Support Internationally Educated Radiographers in the UK.","authors":"Dorothy Cox, Andrea Stebbings","doi":"10.1002/jmrs.70128","DOIUrl":"10.1002/jmrs.70128","url":null,"abstract":"<p><p>Diagnostic radiographer vacancy rates in the UK continue to rise, placing growing reliance on international recruitment to sustain the workforce. Yet, whilst internationally educated doctors and nurses benefit from established transition frameworks, no equivalent exists for internationally educated radiographers. Evidence suggests this group faces compounded professional, personal and cultural stressors on entering NHS employment, contributing to poor wellbeing and high attrition. This commentary examines the literature to explore whether the Advocacy and Education for Quality Improvement in Practice (A-EQUIP) model of restorative clinical supervision offers a viable support framework for this workforce. A-EQUIP has demonstrated effectiveness in nursing and midwifery, though its application to Allied Health Professionals remains largely unexplored. Drawing on evidence across radiography, nursing, midwifery and allied health literature, this paper considers transitional stressors against the functions of A-EQUIP, examines barriers to implementation and offers evidence-informed recommendations for organisations, managers, professional advocates and professional bodies.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13613186/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149039328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}