Journal of Medical Radiation Sciences最新文献

{"title":"Collaborative use of a 3D anatomy platform to motivate and enhance anatomy learning in first-year online medical sonography students","authors":"Michelle Fenech PhD, MSc, GDMed US, BApSc (Med Rad Imag),&nbsp;Nadia Mead PhD, MLitt, BA (Hons)","doi":"10.1002/jmrs.848","DOIUrl":"10.1002/jmrs.848","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Sonography students require a deep understanding of structural anatomy, including where structures sit relative to one another. Additionally, they need to learn the complex task of identifying structures on medical images including X-rays, computed tomography, magnetic resonance imaging and ultrasound imaging. Anatomy can be taught online, but learning can be challenging for students. Online three-dimensional (3D) anatomy platforms aid student learning, but research investigating how to use them effectively when teaching is scarce. This project evaluated the impact of incorporating a three-dimensional (3D) online anatomy platform into teaching relative structural anatomy and assist sonography students when learning how to recognise structures on medical images.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Sixty-one first-year sonography students within an articulated undergraduate and postgraduate medical sonography programme in Australia, studying anatomy online participated in this mixed methods study. The impact of using a 3D online anatomy platform on their conceptual 3D anatomy understanding of relative anatomy, development of medical image recognition skills and their learning experience was assessed via a Qualtrics survey.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Students who used this platform collaboratively enhanced their relative anatomy understanding and developed the skill of identifying structures from medical images. The scaffolded use of this platform generated enquiry discussions between teachers and students and made learning anatomy online a social and enjoyable experience.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Collaborative and interactive scaffolded use of 3D online anatomy platforms can motivate and encourage student questions and discussions, enabling social connections and enhancing their learning experience. Student enquiry skills were developed, and the more complex task of identifying structures from medical images was made achievable.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"72 2","pages":"202-208"},"PeriodicalIF":1.8,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.848","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818378","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":"Pre-operative transcranial Doppler ultrasound assessment of cerebral collateral circulation in children undergoing veno-arterial extracorporeal membrane oxygenation or cardiac surgery.","authors":"Tristan Reddan, Michael Malouf, Prem Venugopal, Jennifer Powell","doi":"10.1002/jmrs.845","DOIUrl":"https://doi.org/10.1002/jmrs.845","url":null,"abstract":"<p><p>Children requiring veno-arterial extracorporeal membrane oxygenation (VA ECMO) or cardiac surgery often undergo cervical cannulation or carotid artery clamping, which can interrupt cerebral circulation. Inadequate collateral flow through the circle of Willis (CoW) may lead to cerebral ischaemia within the vascular territory and/or watershed regions. Pre-cannulation survey of the CoW using transcranial Doppler (TCD) ultrasound may be performed to predict and plan neuroprotection. It is important to note in this article TCD refers to Duplex or colour coded trans-cranial Doppler (TCCD) using radiology-based machines, which is distinct from the more traditional trans-cranial Doppler technique that does not incorporate a B-mode image. This article describes our technique, in use since 2019, to guide surgical approaches and neuroprotective measures when an incomplete CoW is identified. High-end radiology-based ultrasound platforms and various transducers are used to assess brain morphology and haemorrhage through the anterior fontanelle in neonates. TCD is performed with the highest frequency transducer possible, utilising Doppler imaging to visualise cerebral arteries. Manual carotid compression can be used to functionally assess collateral flow when segments appear aplastic or hypoplastic. Potential pitfalls include mistaking the anterior choroidal artery for a hypoplastic posterior communicating artery (PCommA). Since implementing this protocol 5 years ago, no catastrophic infarcts related to cervical cannulation have occurred. This technique provides a practical solution for pre-operative assessment of cerebral collateral circulation in children undergoing VA ECMO or cardiac surgery, allowing for consideration of neuroprotective measures and improving patient safety.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818313","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":"Continuing Professional Development – Answers","authors":"","doi":"10.1002/jmrs.828","DOIUrl":"10.1002/jmrs.828","url":null,"abstract":"<p>Maximise your Continuing Professional Development (CPD) by reading the selected articles and answer the five questions. Please remember to self-claim your CPD and retain your supporting evidence.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"71 4","pages":"616-617"},"PeriodicalIF":1.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11638349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818318","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":"Quantifying non-clinical outcomes of ultra-hypofractionated breast radiotherapy in Western NSW-A narrative review.","authors":"Faith Yeo, Rachael Beldham-Collins, Paul Roth, Rodney Hammond","doi":"10.1002/jmrs.842","DOIUrl":"https://doi.org/10.1002/jmrs.842","url":null,"abstract":"<p><p>Ultra-Hypofractionated Whole Breast Radiotherapy (U-WBRT) has been proven to be a viable treatment option for breast cancer patients receiving radiation therapy, however, due to its novelty our understanding of its non-clinical benefits is still evolving. With increasing U-WBRT selection during COVID and in rural and regional settings such as the Western New South Wales Local Health District (WNSWLHD), it's important to quantify the savings when compared to other fractionation schedules (e.g. Conventional fractionation (C-WBRT) involving 25 fractions and Moderate hypofractionation (M-WBRT) with 15 fractions.) Using literature sourced from Medline, Embase, Pubmed and reports from relevant websites and organisations this narrative review investigates quantifiable methods of assessing non-clinical benefits of U-WBRT in rural settings according to the triple bottom line philosophy. This review was able to identify a standard set of quantifiable metrics that can compare the non-clinical benefits of various fractionation schedules, with relevance to a rural setting. These include: fractionation trends, financial subsidy, average linear accelerator (Linac) minutes, hospital visits, travel time and distance, Linac energy consumption, travel and Linac carbon emissions. By identifying these metrics, non-clinical benefits between the fractionation schedules can easily be quantified and compared.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142794781","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":"Acknowledging the peer reviewers of Journal of Medical Radiation Sciences, October 2023–September 2024","authors":"","doi":"10.1002/jmrs.838","DOIUrl":"10.1002/jmrs.838","url":null,"abstract":"&lt;p&gt;The editorial review board, the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT) acknowledge the following peer reviewers for their dedication and commitment to the journal. Thank you for sharing your valuable time and knowledge.&lt;/p&gt;&lt;p&gt;James Stanley&lt;/p&gt;&lt;p&gt;Peter Kench&lt;/p&gt;&lt;p&gt;Amy Brown&lt;/p&gt;&lt;p&gt;Karen Dobeli&lt;/p&gt;&lt;p&gt;Georgia Halkett&lt;/p&gt;&lt;p&gt;Andrew Kilgour&lt;/p&gt;&lt;p&gt;Scott Jones&lt;/p&gt;&lt;p&gt;Chandra Makanjee&lt;/p&gt;&lt;p&gt;Martin Mitchell&lt;/p&gt;&lt;p&gt;Robba Rai&lt;/p&gt;&lt;p&gt;John Robinson&lt;/p&gt;&lt;p&gt;Clare Singh&lt;/p&gt;&lt;p&gt;Adam Steward&lt;/p&gt;&lt;p&gt;Francis Zarb&lt;/p&gt;&lt;p&gt;Dana Al-Mousa&lt;/p&gt;&lt;p&gt;Nigel Anderson&lt;/p&gt;&lt;p&gt;Marilyn Baird&lt;/p&gt;&lt;p&gt;Rachael Beldham-Collins&lt;/p&gt;&lt;p&gt;Pippa Bresser&lt;/p&gt;&lt;p&gt;Mikaela Dell'Oro&lt;/p&gt;&lt;p&gt;Victoria Earl&lt;/p&gt;&lt;p&gt;Ernest Ekpo&lt;/p&gt;&lt;p&gt;Sheryl Foster&lt;/p&gt;&lt;p&gt;Ziba Gandomkar&lt;/p&gt;&lt;p&gt;David Gilmore&lt;/p&gt;&lt;p&gt;Therese Gunn&lt;/p&gt;&lt;p&gt;Peter Hanna&lt;/p&gt;&lt;p&gt;Richard W. Harbron&lt;/p&gt;&lt;p&gt;James Hayes&lt;/p&gt;&lt;p&gt;Lynne Hazell&lt;/p&gt;&lt;p&gt;Bronwyn Hilder&lt;/p&gt;&lt;p&gt;Peter Hogg&lt;/p&gt;&lt;p&gt;Yobelli Jimenez&lt;/p&gt;&lt;p&gt;Gerhardus Koch&lt;/p&gt;&lt;p&gt;Gordon Mander&lt;/p&gt;&lt;p&gt;Kristie Matthews&lt;/p&gt;&lt;p&gt;Sibusiso Mdletshe&lt;/p&gt;&lt;p&gt;Martin Necas&lt;/p&gt;&lt;p&gt;Michael Neep&lt;/p&gt;&lt;p&gt;Jodie Nixon&lt;/p&gt;&lt;p&gt;Tracey Pieterse&lt;/p&gt;&lt;p&gt;William Rae&lt;/p&gt;&lt;p&gt;Oona Reardon&lt;/p&gt;&lt;p&gt;Meegan Shepherd&lt;/p&gt;&lt;p&gt;Zhonghua Sun&lt;/p&gt;&lt;p&gt;John Thompson&lt;/p&gt;&lt;p&gt;Kenton Thompson&lt;/p&gt;&lt;p&gt;Adrienne Young&lt;/p&gt;&lt;p&gt;Sarah Lewis&lt;/p&gt;&lt;p&gt;Kamarul Abdullah&lt;/p&gt;&lt;p&gt;Laura Adamson&lt;/p&gt;&lt;p&gt;Verity Ahern&lt;/p&gt;&lt;p&gt;Theophilus Akudjedu&lt;/p&gt;&lt;p&gt;Sophie Alexander&lt;/p&gt;&lt;p&gt;Tonima Ali&lt;/p&gt;&lt;p&gt;Haney Alsleem&lt;/p&gt;&lt;p&gt;Sally Ball&lt;/p&gt;&lt;p&gt;Luke Barclay&lt;/p&gt;&lt;p&gt;Stevens Barry&lt;/p&gt;&lt;p&gt;Salvatore Berlangieri&lt;/p&gt;&lt;p&gt;Eva Bezak&lt;/p&gt;&lt;p&gt;Anita Bowman&lt;/p&gt;&lt;p&gt;Robyn Brady&lt;/p&gt;&lt;p&gt;Vicki Braithwaite&lt;/p&gt;&lt;p&gt;Maura Brown&lt;/p&gt;&lt;p&gt;Rachel Burton&lt;/p&gt;&lt;p&gt;Gemma Busuttil&lt;/p&gt;&lt;p&gt;Ethan Butson&lt;/p&gt;&lt;p&gt;Ke Cao&lt;/p&gt;&lt;p&gt;Yasmin Casmod&lt;/p&gt;&lt;p&gt;Chelsea Castillo&lt;/p&gt;&lt;p&gt;Crispen Chamunyonga&lt;/p&gt;&lt;p&gt;Shayne Chau&lt;/p&gt;&lt;p&gt;Nahid Chegeni&lt;/p&gt;&lt;p&gt;Deanne Chester&lt;/p&gt;&lt;p&gt;Kabilan Chokkappan&lt;/p&gt;&lt;p&gt;Jillian Clarke&lt;/p&gt;&lt;p&gt;James Crowhurst&lt;/p&gt;&lt;p&gt;Jennifer Dang&lt;/p&gt;&lt;p&gt;Rob Davidson&lt;/p&gt;&lt;p&gt;Jenna Dean&lt;/p&gt;&lt;p&gt;Pradip Deb&lt;/p&gt;&lt;p&gt;Edel Doyle&lt;/p&gt;&lt;p&gt;Elisabeth Elder&lt;/p&gt;&lt;p&gt;Kirsten Elleray&lt;/p&gt;&lt;p&gt;Doaa Elwadia&lt;/p&gt;&lt;p&gt;Andrew England&lt;/p&gt;&lt;p&gt;Brendan Erskine&lt;/p&gt;&lt;p&gt;Hafsa Essop&lt;/p&gt;&lt;p&gt;Mel Evans&lt;/p&gt;&lt;p&gt;Andrew Firman&lt;/p&gt;&lt;p&gt;Alannah Flockton&lt;/p&gt;&lt;p&gt;Janniko Georgiadis&lt;/p&gt;&lt;p&gt;Nicola Giannotti&lt;/p&gt;&lt;p&gt;Gopinath Gnanasegaran&lt;/p&gt;&lt;p&gt;Frances Grey&lt;/p&gt;&lt;p&gt;Roshini Gunewardena&lt;/p&gt;&lt;p&gt;Catriona Hargrave&lt;/p&gt;&lt;p&gt;Patrick Horsley&lt;/p&gt;&lt;p&gt;Chamandra Kammies&lt;/p&gt;&lt;p&gt;Abel Karera&lt;/p&gt;&lt;p&gt;Alannah Kejda&lt;/p&gt;&lt;p&gt;Toni Kelly&lt;/p&gt;&lt;p&gt;Ben Kennedy&lt;/p&gt;&lt;p&gt;Thandokuhle Khoza&lt;/p&gt;&lt;p&gt;Scott King&lt;/p&gt;&lt;p&gt;Tracy Kirkbride&lt;/p&gt;&lt;p&gt;Caroline Landelle&lt;/p&gt;&lt;p&gt;Drew Latty&lt;/p&gt;&lt;p&gt;Andrew Le&lt;/p&gt;&lt;p&gt;Fiona Lee&lt;/p&gt;&lt;p&gt;Margot Lehman&lt;/p&gt;&lt;p&gt;Shantel Lewis&lt;/p&gt;&lt;p&gt;Gaorui Liu&lt;/p&gt;&lt;p&gt;Kelly Lloyd&lt;/p&gt;&lt;p&gt;Magdalena Lutaka&lt;/p&gt;&lt;p&gt;Vanathy Manivasahan&lt;/p&gt;&lt;p&gt;Sonyia McFadden&lt;/p&gt;&lt;p&gt;Lisa McGuire&lt;/p&gt;&lt;p&gt;Glenda McLean&lt;/p&gt;&lt;p&gt;Vaughan Moutrie&lt;/p&gt;&lt;p&gt;Andrew Murphy&lt;/p&gt;&lt;p&gt;Soma Nesan&lt;/p&gt;&lt;p&gt;Michelle O'Connor&lt;/p&gt;&lt;p&gt;Katrina O'Keefe&lt;/p&gt;&lt;p&gt;Peter O'Reilly&lt;/p&gt;&lt;p&gt;Craig Opie&lt;/p&gt;&lt;p&gt;Brooke Osborne&lt;/p&gt;&lt;p&gt;Sharon Oultram&lt;/p&gt;&lt;p&gt;Vanessa Panettieri&lt;/p&gt;&lt;p&gt;Eric Pei Ping Pang","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"71 4","pages":"618-620"},"PeriodicalIF":1.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.838","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769833","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":"Sonographic localisation of lymph nodes suspicious of metastatic breast cancer to surgical axillary levels","authors":"Michelle Fenech PhD, MSc(R), GDipMedUS, BASc(Med Imaging), (FASA, PFHEA),&nbsp;Tracey Burke MHSc(MRI), GDipASc(Med Imaging), GCert(Clin Redesign), BASc(Med Imaging),&nbsp;Grace Arnett B & GDip Med Sono,&nbsp;Alisha Tanner MMedSon, BMedImagingSc,&nbsp;Natasha Werder GDipMedUS, BAppScMedImag","doi":"10.1002/jmrs.840","DOIUrl":"10.1002/jmrs.840","url":null,"abstract":"<p>The axillary lymph node (LN) burden of breast cancer patients guides multidisciplinary management and treatment regimes. Sonographic imaging is used to identify the presence, number and location of axillary LNs suspicious of malignancy and used to guide nodal fine needle aspirations and biopsies. Axillary LNs suspicious of harbouring breast cancer metastasis can be localised to three surgical axillary levels, numbered according to their location relative to the pectoralis minor muscle and lymph flow. To sonographically identify and localise suspicious axillary LNs, an understanding of the axillary anatomy, muscular sonographic landmarks, surgical axillary levels, and the sonographic technique to image and distinguish between benign and suspicious LNs is required.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"72 1","pages":"119-138"},"PeriodicalIF":1.8,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.840","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648322","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":"Impact of pre-examination video education in Gd-EOB-DTPA-enhanced liver MRI: A comparative study","authors":"Hongfang Huang PhD,&nbsp;Chenhui Li PhD,&nbsp;Zisan Zeng MD,&nbsp;Junli Liang PhD","doi":"10.1002/jmrs.833","DOIUrl":"10.1002/jmrs.833","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, and early diagnosis via gadolinium ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) significantly impacts patient outcomes. However, patient anxiety during MRI can affect image quality. This study investigates the impact of pre-examination video education on anxiety, satisfaction and image quality in Gd-EOB-DTPA-enhanced liver MRI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We prospectively enrolled 480 patients who underwent Gd-EOB-DTPA-enhanced liver MRI from January 2022 to May 2023 at our hospital. Patients were divided into study and control groups in order of odd and even days, with 240 cases in each group. Before the examination, the radiology staff provided routine verbal guidance and breathing training to the patients in the control group, while the study group was given additional video education. The state anxiety scores, satisfaction scores of the provided information and motion artefact scores of the images before and after the examination were compared between the two groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The state anxiety scores of both groups of patients were lower than before the examination (all <i>P</i> &lt; 0.05), but the change value of the study group was significantly greater than that of the control group (<i>P</i> = 0.004). The satisfaction rate of the information provided before the scan in the study group was significantly higher (<i>P</i> &lt; 0.001). The image quality scores of the arterial phase were similar between the two groups (<i>P</i> = 0.403), but the image quality of the study group in the pre-contrast, portal phase, transitional phase and hepatobiliary phase was significantly better than that of the control group (all <i>P</i> &lt; 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Supplementing routine pre-scan care with video guidance for Gd-EOB-DTPA-enhanced liver MRI offers several benefits, including reduced patient anxiety, increased satisfaction and improved image quality. These results suggest the potential for widespread application of video-based interventions to enhance the MRI experience for patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"72 1","pages":"34-41"},"PeriodicalIF":1.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.833","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622170","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":"Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence","authors":"Sibusiso Mdletshe DTech,&nbsp;Alan Wang PhD","doi":"10.1002/jmrs.837","DOIUrl":"10.1002/jmrs.837","url":null,"abstract":"<p>The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores the integration of computing technologies (e.g. Python and MATLAB), digital image processing (e.g. image enhancement, segmentation and three-dimensional reconstruction) and artificial intelligence (AI) into the undergraduate MI curriculum. By examining current educational practices, gaps and limitations that hinder the development of future-ready MI professionals are identified. A comprehensive curriculum framework is proposed, incorporating essential computational skills, advanced image processing techniques and state-of-the-art AI tools, such as large language models like ChatGPT. The proposed curriculum framework aims to improve the quality of MI education significantly and better equip students for future professional practice and challenges while enhancing diagnostic accuracy, improving workflow efficiency and preparing students for the evolving demands of the MI field.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"72 1","pages":"148-155"},"PeriodicalIF":1.8,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.837","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603832","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 in image segmentation for cancer","authors":"Robba Rai BAppSc (DiagRad), MHlthSc (MRI), PhD","doi":"10.1002/jmrs.839","DOIUrl":"10.1002/jmrs.839","url":null,"abstract":"<p>This article discusses the role of deep learning (DL) in cancer imaging, focusing on its applications for automatic image segmentation. It highlights two studies that demonstrate how U-Net- and convolutional neural networks–based architectures have improved the speed and accuracy of body composition analysis in CT scans and rectal tumour segmentation in MRI images. While the results are promising, the article stresses the need for further research to address issues like image quality variability across different imaging systems.\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":"71 4","pages":"505-508"},"PeriodicalIF":1.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11638342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142583050","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":"Molecular theranostics: principles, challenges and controversies","authors":"Geoffrey Currie BPharm, MMedRadSc (NucMed), MAppMngt (Hlth), MBA, PhD","doi":"10.1002/jmrs.836","DOIUrl":"10.1002/jmrs.836","url":null,"abstract":"<p>Theranostics is a new term for long-established principles in nuclear medicine. The generalisability of the term means there is a very broad use of the term across the medical literature, not all of which is consistent with the intent in nuclear medicine. The term molecular theranostics better reflects the philosophy and application in nuclear medicine. Even with a clearer definition, there are a number of challenges or controversies whose debate provides a richer understanding of the principles and applications of molecular theranostics. Radioiodine imaging and therapy of hyperthyroidism and thyroid cancer provide the historical context for theranostics. The prototype molecular theranostic is the ⁶⁸Ga/¹⁷⁷Lu DOTATATE pair that targets somatostatin receptor subtype 2 in neuroendocrine tumors. The potential value of precision medicine of radiation dosimetry in molecular theranostics needs a balanced discussion with limitations of reactive dosimetry and the opportunities for predictive or pre-treatment dosimetry. Despite challenges and limitations, molecular theranostics is a powerful tool in the precision medicine landscape. Molecular theranostics is a vehicle for improved outcomes in cancer patients with a future-facing portfolio of opportunities.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"72 1","pages":"156-164"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.836","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142562452","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}