Journal of Medical Radiation Sciences最新文献

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S2","pages":"S117-S123"},"PeriodicalIF":2.0,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148118527","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S2","pages":"S124-S125"},"PeriodicalIF":2.0,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148105458","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":"Case Race Abstracts","authors":"","doi":"10.1002/jmrs.70063","DOIUrl":"10.1002/jmrs.70063","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S1","pages":"S107-S112"},"PeriodicalIF":2.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147443771","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":"Oral Abstracts","authors":"","doi":"10.1002/jmrs.70065","DOIUrl":"10.1002/jmrs.70065","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S1","pages":"S4-S85"},"PeriodicalIF":2.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147443786","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":"Poster Abstracts","authors":"","doi":"10.1002/jmrs.70064","DOIUrl":"10.1002/jmrs.70064","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S1","pages":"S86-S106"},"PeriodicalIF":2.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147443760","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":"Assessment of Thyroid Uptake Ratio Values in a Normal Population. Establishment of Normal Reference Values for 99mTc-Pertechnetate Thyroid Uptake in an Australian Population.","authors":"Bethany Wornes, Amalia Karahalios, Melanie Tempest","doi":"10.1002/jmrs.70078","DOIUrl":"10.1002/jmrs.70078","url":null,"abstract":"<p><strong>Introduction: </strong>Thyroid scintigraphy with ^99mTc-pertechnetate is a nuclear medicine examination performed since the early 1970s that allows for functional assessment of the thyroid. Quantitative thyroid uptake expressed as a percentage of the injected dose is calculated in many centres as part of the examination. Our current normal institutional reference of 1%-4% was derived from a 1971 study. Uptake values may change with geographical location and over time, with international studies reporting updated normal reference values for local populations of 0.2%-2.0%, 0.2%-2.0%, 0.26%-1.64% and 0.4%-2.4%. To our knowledge, there have been no published reports on normal reference values for Australian populations. The aim of this study was to establish normal reference values for ^99mTc-pertechnetate thyroid uptake in a Victorian, Australian patient population.</p><p><strong>Methods: </strong>A retrospective audit and prospective study of 271 consecutive patients undergoing parathyroid scans was performed between January 2017 and December 2021. Anterior thyroid images acquired following intravenous injection of ^99mTc-pertechnetate were reviewed to calculate thyroid uptake. Patients with thyroid conditions, abnormal biochemical thyroid function tests and/or abnormal appearances on ^99mTc-pertechnetate thyroid scans were excluded.</p><p><strong>Results: </strong>Of the 271 patients, 151 studies met the eligibility criteria and were included for analysis. The median thyroid uptake value was 0.97% with a 95% reference range of 0.4%-2.4%.</p><p><strong>Conclusion: </strong>This study established a thyroid uptake reference range of 0.4%-2.4% using ^99mTc-pertechnetate, which was lower than the values used in our institution. Highlighting the need for periodic evaluation of normal uptake values.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13398717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147377785","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S2","pages":"S3-S5"},"PeriodicalIF":2.0,"publicationDate":"2026-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148134007","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 S2","pages":"S3-S5"},"PeriodicalIF":2.0,"publicationDate":"2026-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148134008","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":"Artificial Intelligence Integration in Radiation Therapy Education: A Multi-Modal Approach.","authors":"Laura Feighan, Leah Cramp, Debra Lee, Yolanda Surjan","doi":"10.1002/jmrs.70073","DOIUrl":"10.1002/jmrs.70073","url":null,"abstract":"<p><strong>Introduction: </strong>Critical workforce shortages in radiation oncology have led tertiary institutions to rapidly expand their radiation therapy (RT) student cohorts. The increase in students entering university created the challenge of scaling educational delivery while preserving the quantity and quality of learning essential for developing well-prepared, competent clinicians. Artificial Intelligence (AI) applications have been recognised as valuable tools in medical education; however, limited research has addressed their use in RT education. This study aimed to evaluate three AI educational innovations used in the RT degree at the University of Newcastle.</p><p><strong>Methods: </strong>A cross-sectional study design was implemented to investigate the perceptions of students toward the integration of three AI educational innovations, which were embedded in the RT program curriculum across Years 1, 2 and 3. The three innovations included: (1) delivery innovation (AI video lectures), (2) assessment innovation (AI-assisted assessment feedback), and (3) content innovation (AI-simulated communication tasks). Descriptive statistics were calculated for quantitative survey responses. Open-ended responses were analysed to find recurring themes.</p><p><strong>Results: </strong>A total of 62 students participated in the study across three cohorts (Years 1 (n = 33), 2 (n = 13) and 3 (n = 16)), with a mean age of 20.6 years. In Year 1, n = 24 (73%) of students reported being 'satisfied' or 'very satisfied' with the AI video format. Among Year 2 students, n = 7 (54%) wanted AI feedback on future assessments, while n = 6 (46%) were unsure or opposed to future AI feedback. In Year 3, n = 12 (75%) felt 'more' or 'much more comfortable' practising with the AI patient than with peers.</p><p><strong>Conclusion: </strong>This research revealed varied outcomes related to AI innovations among year groups. The integration of AI was perceived positively; however, participants favoured AI tools for formative learning over those used for assessments.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13398708/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147344268","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":"Letter to the Editor Regarding Quantifying the Carbon Footprint of External Beam Radiation Therapy—A Narrative Review","authors":"Ana Luísa Soares,&nbsp;Isabel Bravo,&nbsp;José Guilherme Couto","doi":"10.1002/jmrs.70028","DOIUrl":"10.1002/jmrs.70028","url":null,"abstract":"<p>This letter highlights the valuable contribution of the review titled ‘Quantifying the Carbon Footprint of External Beam Radiation Therapy—A Narrative Review’ (https://doi.org/10.1002/jmrs.70009) in understanding how radiation therapy impacts healthcare-related greenhouse gas emissions, particularly through pre-treatment imaging, treatment delivery, and patient travel. Therefore, the letter emphasizes that empowering radiation therapists with green skills is essential to foster a culture of environmental responsibility within radiation therapy departments.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"73 1","pages":"121-122"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12950495/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145258339","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}