{"title":"Message from the Editor","authors":"Amanda Bolderston","doi":"10.1016/j.jmir.2025.101899","DOIUrl":"10.1016/j.jmir.2025.101899","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 3","pages":"Article 101899"},"PeriodicalIF":1.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139021","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":"Are we sleepwalking into a fully automated medical imaging service?","authors":"Niamh Gale","doi":"10.1016/j.jmir.2025.101969","DOIUrl":"10.1016/j.jmir.2025.101969","url":null,"abstract":"<div><h3>Introduction</h3><div>Artificial intelligence (AI) is already embedded in medical imaging services, but now that the National Institute for Health and Care Excellence (NICE) has released position statements looking favourably on AI use in healthcare, its use will embed even further.</div></div><div><h3>Discussion</h3><div>AI has brought many positives to medical imaging services and is far superior at making calculations using vast amounts of data. It can therefore help improve the speed and accuracy of diagnosis and treatment plans for many patients, but at what cost to the radiography profession? Surveys have shown that the majority of the workforce welcome AI, but admit that they don’t fully understand the principles behind it. AI developers are keen to improve patient output, and many are unconcerned about the possible negative effects on staff morale and expertise. As computers remove the autonomy and competency that radiographers have previously held with pride, staff may find that they become de-skilled and de-motivated, and it may eventually subsume the traditional role of the radiographer altogether. The profession needs to be aware of these potential impacts and prepare accordingly.</div></div><div><h3>Conclusion</h3><div>Higher education plays an important role in preparing radiographers of the future for the changing landscape of medical imaging and should include more engineering and data science modules in the curriculum to prevent radiographers from becoming irrelevant.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101969"},"PeriodicalIF":1.3,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882613","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}
Mohammad Haghparast , Forough Jamil , Leili Darvish
{"title":"The effect of contrast agent on dose distribution in treatment planning radiotherapy: A systematic review","authors":"Mohammad Haghparast , Forough Jamil , Leili Darvish","doi":"10.1016/j.jmir.2025.101910","DOIUrl":"10.1016/j.jmir.2025.101910","url":null,"abstract":"<div><h3>Background</h3><div>One method of increasing the quality of CT images is the use of contrast agents. The evidence underscores the clinical importance of using contrast-enhanced imaging in the treatment planning process and highlights the potential to improve patient care and treatment effectiveness. The purpose of this study is to evaluate the quantitative changes caused by contrast agents used in CT simulator images for photon dosimetry in radiotherapy treatment planning.</div></div><div><h3>Method</h3><div>The selected databases were Web of Science, PubMed, Scopus, Embase, and Google Scholar. The search string was applied in the title, abstract, and keywords fields across the three international databases. The search terms included: contrast agent, dose distribution, dose difference, treatment planning system, treatment planning, radiotherapy, and Iodine contrast. The articles search was conducted between July and August 2024. The identified articles were evaluated for methodological quality using the Joanna Briggs Checklist.</div></div><div><h3>Results</h3><div>A total of 399 records, after removing duplicate records (n=153), studies were screened by title and abstract to assess eligibility. After removing unrelated studies, 25 articles were included. A systematic review study showed that the difference in dose between the use of contrast agents and without contrast agents was 2% or less than 2%. Only three studies with 36 patients showed the dose differences were more than 2%.</div></div><div><h3>Conclusion</h3><div>This systematic review concluded that the use of contrast agents in radiotherapy at different sites and with different techniques does not significantly affect the extent of dose distribution changes, and this small difference is clinically acceptable.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101910"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877210","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}
Nothando Kudzai Madzamba , Fatima Bhyat , Shantel Lewis
{"title":"Transitioning experiences from students to qualified radiotherapists in South Africa: A Qualitative Study","authors":"Nothando Kudzai Madzamba , Fatima Bhyat , Shantel Lewis","doi":"10.1016/j.jmir.2025.101909","DOIUrl":"10.1016/j.jmir.2025.101909","url":null,"abstract":"<div><h3>Introduction</h3><div>The transition from a student to a qualified healthcare practitioner brings unique and challenging experiences, including conflicts in values, stress, and role uncertainty. During this period, graduates must adjust from being students whose activities were supervised in a controlled environment to working independently as qualified healthcare practitioners. Limited research exists on the experiences of radiotherapists transitioning from students to qualified radiotherapists. Therefore, this study sought to address this gap by exploring radiotherapists’ experiences transitioning from being students to becoming qualified radiotherapists.</div></div><div><h3>Methods</h3><div>This study employed a qualitative research approach with a phenomenological research design. Data were collected through individual, in-depth, semi-structured interviews with nine qualified radiotherapists and underwent thematic analysis. The study adhered to standards of trustworthiness and ethical considerations.</div></div><div><h3>Results</h3><div>Thematic analysis generated two main themes, encountering the workplace as a qualified radiotherapist and support during the transition. Participants were excited and prepared to start working as qualified radiotherapists but also acknowledged the increased responsibilities and accountability that accompanied their new role. Adapting to the new workplace environments was challenging for the participants. Lastly, the participants emphasized the need for support during this transition period, and some expressed frustration and disappointment at the lack thereof.</div></div><div><h3>Conclusion</h3><div>The participants encountered diverse experiences as they transitioned from students to qualified radiotherapists. They were enthusiastic about working as qualified radiotherapists and emphasized how their clinical placements had prepared them for this new role. Workplace support during this transition period, such as orientation, clinical supervision, and a positive work environment, was crucial for building the participants' confidence and helping them adjust to new workplace environments. The study will contribute to a better understanding of newly qualified radiotherapists’ experiences as they transition from being students to becoming qualified radiotherapists. The findings and recommendations from the study can offer valuable insights to support these individuals in their transition, aiding in their growth and development as confident healthcare practitioners.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101909"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877209","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":"From patients to pets: How veterinary imaging made me a better radiographer","authors":"Nicholas Crawford","doi":"10.1016/j.jmir.2025.101903","DOIUrl":"10.1016/j.jmir.2025.101903","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101903"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877211","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}
Rebecca J. Mangelsen , Ruby R. Holman , Katherine Guerrero , Karen L. Jones
{"title":"Piloting a paediatric nuclear medicine colouring-in book in Australia and New Zealand","authors":"Rebecca J. Mangelsen , Ruby R. Holman , Katherine Guerrero , Karen L. Jones","doi":"10.1016/j.jmir.2025.101919","DOIUrl":"10.1016/j.jmir.2025.101919","url":null,"abstract":"<div><h3>Background</h3><div>Well-informed paediatric patients experience reduced anxiety and improved outcomes during medical procedures. While age-appropriate education materials exist for alternate medical imaging modalities, only two resources exist globally for nuclear medicine. This student-led project aimed to develop a nuclear medicine colouring-in book for children aged 7-10 years, and to evaluate its impact from the nuclear medicine technologist (NMT) perspective.</div></div><div><h3>Methods</h3><div>A colouring-in book was developed following an extensive literature search and personal communication, with NMTs in the field. A total of 1000 colour A5 books were printed and distributed to nuclear medicine departments in Australia (<em>n</em>=8) and New Zealand (<em>n</em>=3), based on geographical location and paediatric workload. Two-months after distribution, NMTs were surveyed via Microsoft Forms to assess the book's application and utility with five Likert scale, and two short-answer, questions.</div></div><div><h3>Results</h3><div>Gender, race, rural accessibility, and age were identified as important factors for paediatric health education and incorporated in the colouring-in book. Survey responses were received from 8 of the 11 departments, yielding a response rate of 73%. Of respondents, 75% (<em>n</em>=6) found the book “quite valuable” for paediatric patients, and “quite beneficial” for parents/caregivers. Additionally, 75% (<em>n=</em>6) stated the book was most helpful for patients aged 4 to 6 years, with reported benefits including engagement, distraction, and serving as an icebreaker activity.</div></div><div><h3>Conclusions</h3><div>This pilot project was a worthwhile experience for patients, departments, and students, yielding positive feedback upon departmental application. Further data is required to evaluate the patient and caregiver experience.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101919"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875052","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":"Medical imaging privacy: A systematic scoping review of key parameters in dataset construction and data protection","authors":"Beryl Rachel J , Anubhuti Sood , Tanurag Pattnaik, Rewa Malhotra, Vivek Nayyar, Bhaskar Narayan, Deepika Mishra, Varun Surya","doi":"10.1016/j.jmir.2025.101914","DOIUrl":"10.1016/j.jmir.2025.101914","url":null,"abstract":"<div><h3>Background</h3><div>With digitalization in the field of healthcare, using patient image based data, there is also increasing concerns on protection of patient privacy. Globally various legal rules and regulations have been adopted for stringent measures on data privacy. However, despite the growing importance of privacy, there are currently no universally defined protocols outlining the specific parameters for the de-identification/pseudo-anonymization of medical images.</div></div><div><h3>Objectives</h3><div>The study aims to assess current methods for protecting patient privacy in medical image datasets used in research and healthcare technology development.</div></div><div><h3>Methods</h3><div>A comprehensive, systematic search was conducted with a defined search string across databases, including PubMed/Medline, Scopus, Web of Science, Embase, and Google Scholar. Studies were selected based on their focus on the procedures used for anonymization, pseudo-anonymization, and de-identification of medical images during the creation of datasets.</div></div><div><h3>Results</h3><div>From an initial pool of 324 potentially relevant articles, 13 studies were ultimately included in the final review after meeting the inclusion criteria. Of these, the majority focused on open-source datasets, which are accessible for use in research and algorithm development. Methods of de-identification of images included burn-in annotation, defacing processes, removal of DICOM tags, and facial de-identification. A medical image protection checklist was created based on the findings of our review.</div></div><div><h3>Discussion</h3><div>The review explores techniques such as removal or masking of personal identifiers, DICOM tag removal, facial de-identification</div></div><div><h3>Goal</h3><div>The insights gathered aim to help develop standardized privacy protocols to be adhered by healthcare professionals for responsible use of medical imaging data, ensuring the responsible use of medical imaging data for healthcare advancements.</div></div><div><h3>Conclusion</h3><div>The findings of this review highlight several key considerations for effective pseudo-anonymization and de-identification of medical images. The review emphasizes the need for a careful balance between protecting patient privacy and ensuring that medical datasets retain sufficient quality and richness for research and technological development.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101914"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875053","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":"Same modality, different field: Repositioned, not redefined","authors":"Brian Liszewski","doi":"10.1016/j.jmir.2025.101912","DOIUrl":"10.1016/j.jmir.2025.101912","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101912"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875054","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":"Radiography students’ resilience: The impact of interpersonal interactions in the clinical environment","authors":"Heidi Thomas, Kathleen Naidoo, Penelope Engel-Hills","doi":"10.1016/j.jmir.2025.101902","DOIUrl":"10.1016/j.jmir.2025.101902","url":null,"abstract":"<div><h3>Introduction</h3><div>Many diagnostic radiography programs prescribe work placement early in the degree. In these programs first year students become actively involved with the workflow of clinical facilities, under the supervision of qualified diagnostic radiographers. In the clinical environment students are confronted with diverse interpersonal interactions, but little is known about the impact of these relations on the resilience of first year radiography students commencing clinical placement.</div><div>The aim of this paper is, therefore, to present findings from a study that explored and identified how interactions, as they relate to the clinical environment, affect first-year radiography students’ resilience.</div></div><div><h3>Methods</h3><div>Qualitative data were collected through focus groups (FGs), guided by a semi-structured interview schedule. First-year radiography students were purposively selected, using the inclusion criteria, and recruited through advertising the study on the learning management system (LMS). Voluntary participation, a confidentiality agreement, and informed consent were required prior to the focus group. Thematic analysis was performed, and after five focus groups, the researcher was confident that data saturation had been reached.</div></div><div><h3>Findings</h3><div>Twenty-one students participated in five focus groups. The key findings on interpersonal interactions, as they relate to the clinical environment, were identified as (i) student-patient relations, (ii) student-qualified radiographer relations, (iii) student-lecturer relations, and (iv) student-student relations. Student-patient relations seemed difficult at times; however, viewing encounters from a patient perspective helped students reframe negative experiences into positive perspectives. Furthermore, the findings relating to student-qualified radiographer relations and student-lecturer relations indicated that encouraging and respectful relationships greatly contribute to building students’ resilience.</div></div><div><h3>Conclusion</h3><div>This research shows that empathetic interpersonal interactions and protected time with peers and lecturers in the clinical environment serve as enablers of resilience in diagnostic radiography students. Negative interpersonal encounters adversely affected students’ resilience, whereas positive interactions contributed to improved student resilience.</div></div><div><h3>Implications for practice</h3><div>The study highlights the diverse clinical interactions that have a significant impact on radiography students' resilience. It suggests resilience-enhancing strategies to better manage interpersonal interactions in the clinical environment thereby improving students’ confidence and communication skills.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 5","pages":"Article 101902"},"PeriodicalIF":1.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852308","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}