Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"Subscription","authors":"","doi":"10.1016/S1939-8654(25)00326-1","DOIUrl":"10.1016/S1939-8654(25)00326-1","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 1","pages":"Article 102178"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938789","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":"Message from the Editor","authors":"Amanda Bolderston EdD, MSc, MRT(T), FCAMRT","doi":"10.1016/j.jmir.2025.102173","DOIUrl":"10.1016/j.jmir.2025.102173","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 1","pages":"Article 102173"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145919352","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":"Current state evaluation of challenges and opportunities in standardized nomenclature and artificial intelligence adoption in Canadian Radiation Oncology Practice","authors":"Caitlin Gillan ,&nbsp;Fariah Humaira Rahman ,&nbsp;Erika Brown ,&nbsp;Amanda Caissie ,&nbsp;Heather Donaldson ,&nbsp;Annie Hsu ,&nbsp;Michelle Nielsen ,&nbsp;Brian Liszewski","doi":"10.1016/j.jmir.2025.102170","DOIUrl":"10.1016/j.jmir.2025.102170","url":null,"abstract":"<div><h3>Purpose</h3><div>Variations in the implementation of emerging data nomenclature standards and usage of artificial intelligence (AI) tools in Canadian radiation therapy (RT) centres have not yet been fully characterized. To address this, a current state analysis was conducted to serve as a baseline assessment and to identify gaps and opportunities for harmonized pan-Canadian data practices and the adoption of AI in clinical settings within radiation oncology.</div></div><div><h3>Methods and Materials</h3><div>A survey was distributed to all Canadian RT centres with the aim to describe the perceived status and characteristics of implementation of standardized nomenclature, usage of AI tools, and relevant gaps and opportunities in this field.</div></div><div><h3>Results</h3><div>Thirty three of 51 (64.7%) Canadian RT centres responded. Responses characterized variation in standardized nomenclature implementation and usage of AI tools across centres, with some trends between regions. Approximately two-thirds of RT centres were using TG-263 guidance of the American Association of Physicists in Medicine (70.0%, n=23). whereas only a third of centres reported awareness of next steps for O3. The most commonly-reported barriers to data standardization included a lack of resources and forcing functions. Automation and quality improvement were recognized as facilitators, with (81.8%, n=27) are using automation tools to support standardization.</div></div><div><h3>Conclusions</h3><div>This current state analysis informs and directs future initiatives to improve standardized nomenclature implementation and support informed AI adoption within RT, with the goal of ultimately improving RT quality and safety. Canada is well-positioned to lead data standardization efforts and serve as a case study to potentially provide guidance at an international level to equal partners.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102170"},"PeriodicalIF":2.0,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840690","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":"Sexual function and supportive care: Experiences of patients after prostate cancer treatment in a Gauteng oncology centre, South Africa","authors":"Nape Matheko Phahlamohlaka ,&nbsp;Penelope Engel-Hills ,&nbsp;Hesta Friedrich-Nel","doi":"10.1016/j.jmir.2025.102171","DOIUrl":"10.1016/j.jmir.2025.102171","url":null,"abstract":"<div><h3>Introduction</h3><div>Sexual dysfunction in patients following radiotherapy for prostate cancer (PCa) is associated with reduced intimacy, relationship strain, and psychosocial challenges. Sexual health support for men treated for PCa remains inconsistent, often overlooked in oncology counselling, and under-researched in South Africa. This study explored the experiences of African men living with sexual function challenges after radiotherapy for PCa and sexual health support provided at a large oncology centre in Gauteng, South Africa.</div></div><div><h3>Methods</h3><div>Qualitative, exploratory, and descriptive research design were used. Individual face-to-face interviews were conducted with patients who had completed radiotherapy for PCa six months or more before data collection. The data were collected from the oncology department between 1 January 2021 to 30 April 2021. Data saturation was achieved after completing 12 interviews. Interview data were transcribed and analysed thematically. ATLAS.ti 23 software was utilised to organise and manage codes.</div></div><div><h3>Results</h3><div>Men treated for PCa reported sexual function challenges that negatively affected their masculinity and intimate relationships, while inconsistent sexual-health support, limited communication and sociocultural masculinity norms left many without adequate counselling or follow-up care. Four themes were developed: challenges of living with PCa, psychosocial consequences of losing sexual function, men's sexual health support gaps, and limited sexual health communication.</div></div><div><h3>Conclusion</h3><div>Men experiencing sexual dysfunction after treatment for PCa often carry the emotional burden of diminished masculinity in silence. Sexual health support at the Gauteng oncology centre appears to lack consistency, and not every member of the multidisciplinary oncology team is involved in facilitating sexual health care.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102171"},"PeriodicalIF":2.0,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840242","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":"Job rotation among Moroccan radiographers: A qualitative study","authors":"Maroine Tahiri ,&nbsp;Mina Azeddou ,&nbsp;Mounir Benmessaoud ,&nbsp;Mounir Mkimel ,&nbsp;Hassan khajmi","doi":"10.1016/j.jmir.2025.102168","DOIUrl":"10.1016/j.jmir.2025.102168","url":null,"abstract":"<div><h3>Introduction</h3><div>Job rotation is a common strategy in radiologic departments, yet its perceived benefits and drawbacks remain underexplored, particularly among Moroccan radiographers. This study aims to investigate perceptions of job rotation and its impact on motivation, stress, competencies, productivity, and occupational risks.</div></div><div><h3>Methods</h3><div>A qualitative exploratory study was conducted using semi-structured interviews with radiographer working in public hospitals. Interviews were transcribed verbatim and analyzed using thematic analysis to identify recurring patterns and key insights.</div></div><div><h3>Results</h3><div>Six major themes emerged: (1) Workstation Rotation Organization, which revealed flexibility and staff input in rotation planning; (2) Motivation, where most reported enhanced engagement; (3) Stress, with rotation seen as a strategy to reduce stress through task variety; (4) Risk, where job rotation was generally viewed as redistributing occupational risks; (5) Competencies, highlighting broader skill development but mixed views on specialization; and (6) Productivity, showing varied opinions about its impact on efficiency.</div></div><div><h3>Conclusion</h3><div>Radiographer value job rotation for improving adaptability, motivation, and reducing stress. However, concerns persist regarding its impact on technical mastery and risk adaptation. Effective rotation policies should incorporate staff input, ensure equitable distribution, and consider the balance between skill generalization and specialization.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102168"},"PeriodicalIF":2.0,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759183","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":"Development of immersive radiotherapy clinical learning experience prototype (IRCLEP)","authors":"Nur Najihah Binti Hamzaini ,&nbsp;Gunalan A.L. Ramachandran ,&nbsp;Tavaneethan A.L. Mogan ,&nbsp;Nur Liyana Shuib ,&nbsp;Abdul Khaliq Mohd Saparudin ,&nbsp;Nur Khalis Sukiman ,&nbsp;Noraini Ahmad Wahid ,&nbsp;Saiful Izzuan Hussin ,&nbsp;Nor Aniza Azmi","doi":"10.1016/j.jmir.2025.102167","DOIUrl":"10.1016/j.jmir.2025.102167","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Introduction&lt;/h3&gt;&lt;div&gt;The COVID-19 pandemic has significantly disrupted clinical education for healthcare students, particularly in radiotherapy fields where hands-on learning is crucial. Limited access to clinical placement led to graduates lacking sufficient clinical exposure, potentially affecting their competence and confidence in practice. To address this gap, the Immersive Radiotherapy Clinical Learning Experience Prototype (IRCLEP) was developed as a gamified 3D learning application to enhance pre-clinical training. The prototype’s content aligns with the intended learning outcomes of the Radiation Treatment Planning (RTP) course. It focuses on two key radiotherapy procedures: patient positioning and immobilisation device placement.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;This study involved designing a simulated radiotherapy clinical environment using tools such as Blender, Shapr3D, Unity, and Visual Studio. The prototype features interactive clinical scenarios across head and neck, thoracic, and pelvic cancer cases, allowing users to engage in virtual treatment planning, equipment handling, and communication with AI-powered non-playable characters (NPCs). IRCLEP’s effectiveness was evaluated through beta testing with students, lecturers, and clinicians from the Diagnostic Imaging and Radiotherapy (PDR) programme at Universiti Kebangsaan Malaysia (UKM). Participants interacted with the VR-based simulation and completed an online survey assessing engagement and satisfaction after using the VR-based simulation.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;Results showed that about 77% of survey items achieved a mean score above 4 (on a 5-point Likert scale), indicating positive perceptions of both knowledge, engagement and satisfaction.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;div&gt;These findings suggest that IRCLEP offers an interactive and engaging alternative to traditional clinical training, offering opportunities to strengthen practical skills and improve student readiness for real-world radiotherapy practice. Future work should focus on empirical testing with a larger student cohort and explore VR integration to enhance immersion and authenticity.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Introduction&lt;/h3&gt;&lt;div&gt;La pandémie de COVID-19 a considérablement perturbé la formation clinique des étudiants en soins de santé, en particulier dans le domaine de la radiothérapie où l'apprentissage pratique est essentiel. L'accès limité aux stages cliniques a conduit les diplômés à manquer d'expérience clinique, ce qui pourrait affecter leurs compétences et leur confiance dans la pratique. Pour combler cette lacune, le prototype d'expérience d'apprentissage clinique immersif en radiothérapie (IRCLEP) a été développé sous la forme d'une application d'apprentissage 3D ludique afin d'améliorer la formation préclinique. Le contenu du prototype correspond aux résultats d'apprentissage visés par le cours de planification des traitements de radiothérapie. Il se concentre sur deux procé","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102167"},"PeriodicalIF":2.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737721","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":"Building research culture in clinical practice: Experience from clinical practice – A hospital experience","authors":"Malene Roland Vils Pedersen","doi":"10.1016/j.jmir.2025.102165","DOIUrl":"10.1016/j.jmir.2025.102165","url":null,"abstract":"<div><h3>Introduction</h3><div>Research in radiography has typically been performed in traditional educational teaching facilities, but in Denmark, there has been a focus on promoting research in clinical practice. Radiography research projects in clinical practice can have a huge impact on the radiography profession, including patient care, image quality and diagnostics. In Nordic countries, students obtain a bachelor’s degree in Radiography, and it can be a challenge to continue the educational pathway for a Master of Science degree. With this paper, we would like to focus on the importance of providing all the radiography workforce opportunities to enter the career path of research. This paper aims to provide a framework and inspiration for clinical staff to start providing research opportunities for radiographers working in clinical practice without a master’s degree.</div></div><div><h3>Methods</h3><div>Four clinical radiographers (bachelor’s degree level) without prior experience in research projects participated in a one-year research trainee opportunity. Individual learning progress was monitored with milestones relevant to the research project. Regular supervision throughout the project period was mandatory and provided by the head of research. The training program offered one day per week working with research projects and the remaining four days working regular hours in clinical practice.</div></div><div><h3>Results</h3><div>A total of four clinical radiographers completed a one-year research training program. Two have continued working with research projects, and one has started obtaining a master’s of science degree.</div></div><div><h3>Conclusion</h3><div>Integrating research training in clinical practice strengthens the radiography profession, and expanding academic pathways supports research careers. Strong management engagement is essential to establishing a research culture within the clinical department. Building a research culture is resource-intensive, but it can be a way to start promoting the profession.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102165"},"PeriodicalIF":2.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759171","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":"Use of ultrasound elastography for the diagnosis of prostate cancer: A systematic review","authors":"Muhammad Farrukh Asif ,&nbsp;Syed Muhammad Yousaf Farooq ,&nbsp;Syed Amir Gilani ,&nbsp;Saima Bilal ,&nbsp;Muhammad Moazzam ,&nbsp;Yasmeen Niazi","doi":"10.1016/j.jmir.2025.102166","DOIUrl":"10.1016/j.jmir.2025.102166","url":null,"abstract":"<div><h3>Background/Objectives</h3><div>Ultrasound elastography (USE) has emerged as a promising non-invasive tool for prostate cancer (PCa) detection. This systematic review evaluates the diagnostic accuracy of USE techniques, including shear-wave elastography (SWE) and strain elastography (SE), in detecting PCa.</div></div><div><h3>Methods</h3><div>Following PRISMA guidelines, we conducted a comprehensive literature search across PubMed, Google Scholar, Science Direct, and Web of Science (2015–2025). Studies assessing USE diagnostic performance with histopathological confirmation (biopsy/prostatectomy) were included. Data on sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were extracted. Quality assessment was performed using QUADAS-2.</div></div><div><h3>Results</h3><div>Among 18 studies, SWE demonstrated sensitivities of 58 %–96.8 % and specificities of 67.8 %–98 %, while SE showed 74.2 %–100 % sensitivity and 73.7 %–93.8 % specificity. Optimal stiffness cutoffs varied (41.0–82.6 kPa for SWE; strain ratio 1.9–5.5 for SE). Multiparametric approaches combining USE with MRI or targeted biopsy improved diagnostic accuracy (e.g., sensitivity 90.1 %, specificity 80.6 % for transrectal real-time elastography). USE correlated with Gleason scores, aiding in risk stratification.</div></div><div><h3>Conclusions</h3><div>USE exhibits strong diagnostic performance for PCa, particularly when integrated with multiparametric imaging. Standardization of protocols and further validation in large cohorts are needed to optimize clinical adoption.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102166"},"PeriodicalIF":2.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737720","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 role of AI in optimizing CMR image quality: A scoping review","authors":"Daniele Silipo ,&nbsp;Julien Greggio ,&nbsp;Christina Malamateniou","doi":"10.1016/j.jmir.2025.102135","DOIUrl":"10.1016/j.jmir.2025.102135","url":null,"abstract":"<div><h3>Background</h3><div>Cardiovascular magnetic resonance (CMR) imaging is a powerful tool for assessing cardiac anatomy and function but remains limited by average image quality due to artefacts and long acquisition times, and complex and often too long breath-holds. Deep learning methods have recently been applied and show potential to shorten scan times by 70–80 % while improving image quality, enhancing clinical efficiency. The aim of this study is to summarise the different AI-enabled methods for improving CMR image quality, including scanning time, as a key determinant for artefact reduction.</div></div><div><h3>Methods</h3><div>A scoping review was conducted according to PRISMA guidelines. The articles were screened and reviewed by two researchers. A qualitative thematic synthesis was conducted and a CASP-mediated risk of bias assessment was performed.</div></div><div><h3>Results</h3><div>The eligible articles were thirty-one. These articles were thematically categorised in four subgroups, based on emerging themes: scan acceleration, artefact detection, artefact reduction, image reconstruction. A table with significant results for each theme has been presented and results were discussed qualitatively.</div></div><div><h3>Discussion</h3><div>AI demonstrated consistent improvements across the four subgroups. For scan acceleration, deep learning achieved approximately a 70–80 % reduction in scan duration maintaining or even improving image quality. For artefact detection, convolutional neural networks achieved on average a 90 % accuracy in detecting artefacts, across multiple metrics, indicating reliable artefact identification and strong agreement with human experts. AI models effectively reduce artefacts and enhance image quality, achieving consistently better reconstruction accuracy, sharper edges, and faster processing compared to conventional methods. Finally, for image reconstruction, generative adversarial networks enhanced structural similarity by approximately 56 % (SSIM 0.591 → 0.925). Together, these results illustrate the potential of AI to optimise CMR image quality.</div></div><div><h3>Conclusion</h3><div>AI can be an effective tool in addressing many of the CMR imaging challenges and thus improving image quality.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 1","pages":"Article 102135"},"PeriodicalIF":2.0,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145717110","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":"Can daily online imaging be avoided in head and neck cancer patients treated with Halcyon E: A retrospective analysis of a large number of daily imaging-based corrections","authors":"Animesh Saha ,&nbsp;Mani Tirthankar Das,&nbsp;Ajoy Banik,&nbsp;Saubhik Ghosh,&nbsp;Prakash Das,&nbsp;Sujata Sarkar","doi":"10.1016/j.jmir.2025.102162","DOIUrl":"10.1016/j.jmir.2025.102162","url":null,"abstract":"<div><h3>Introductions</h3><div>Integrated daily online image guidance is the default practice in Halcyon E; which costs extra time and additional imaging dose. This retrospective study aimed to evaluate the feasibility of less than daily imaging with off-line no action level (NAL) correction protocol in head and neck cancer patients.</div></div><div><h3>Materials and methods</h3><div>Set-up data of 2969 fractions of 100 head and neck cancer patients were analysed. Using summary data, we calculated the systematic error (∑), random error (δ), PTV margin separately for each of the three axes, as well as the error vector. We then simulated two NAL offline correction protocol where set-up errors of the first three (protocol Fraction-3) or five fractions (protocol Fraction-5) were averaged and implemented for the remaining fractions. The residual errors in each axis for these fractions were determined together with the residual ∑ and δ. PTV margins using the van Herk formula (PTV= 2.5∑ + 0.7δ) were generated based on the uncorrected errors as well as for the residual errors after NAL-based Fraction-3 and Fraction-5 protocols. For each protocol, we tabulated the number of fractions where the residual errors were more than 5 mm. We also assessed whether errors tended to differ based on intent of treatment and anatomical subsite.</div></div><div><h3>Results</h3><div>In our study, uncorrected set-up errors resulted in systematic and random errors of ∑x,y,z of 1.6. 1.6 and 1.7 mm and σx,y,z of 1.6, 1.7 and 1.7 mm with a required PTV margin in x,y,z axes of 5.1, 5.2 and 5.4 mm. Therefore, without image guidance and correction, 5 mm margins would not be adequate. Protocol Fraction-3 resulted in a significant reduction in the residual systematic error to ∑x,y,z of 1.0, 1.2 and 1.3 mm, whereas random errors remained unchanged. Protocol fraction -5 resulted in a further small improvement in systematic errors to ∑x,y,z of 0.9, 0.8, 1.1 mm. PTV margin was within 5mm in both protocol and proportion of fraction with &gt;5mm residual shift was small. PTV margin for Fraction-3 protocol was &gt;5 mm for Larynx-Hypopharynx subsite but within 5 mm for other subgroups.</div></div><div><h3>Conclusion</h3><div>NAL offline imaging implementing average shifts of first five fraction seems possible in this retrospective study. This resource sparing IGRT protocol may result in a significant reduction in time and imaging dose. Patients with larynx/hypopharynx subsites and those treated with Radical intent may require more careful evaluation and daily online matching.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"57 2","pages":"Article 102162"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624942","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}