Pub Date : 2025-01-01DOI: 10.1016/j.jmir.2024.101434
Jia Wen Chong , Tony F. Lai , Joseph C. Lee
{"title":"Caffeine effect on myocardial perfusion scintigraphy","authors":"Jia Wen Chong , Tony F. Lai , Joseph C. Lee","doi":"10.1016/j.jmir.2024.101434","DOIUrl":"10.1016/j.jmir.2024.101434","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101434"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199715","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jmir.2024.101436
Yousif Al-Naser
{"title":"How medical radiation technologists can foster equity, diversity, and inclusion through artificial intelligence in radiology","authors":"Yousif Al-Naser","doi":"10.1016/j.jmir.2024.101436","DOIUrl":"10.1016/j.jmir.2024.101436","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101436"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199979","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jmir.2024.101820
Amanda Bolderston EdD, MSc, MRT(T), FCAMRT
{"title":"Message from the Editor","authors":"Amanda Bolderston EdD, MSc, MRT(T), FCAMRT","doi":"10.1016/j.jmir.2024.101820","DOIUrl":"10.1016/j.jmir.2024.101820","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101820"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974004","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}
Pub Date : 2025-01-01DOI: 10.1016/S1939-8654(24)00570-8
{"title":"Editorial Board/Masthead","authors":"","doi":"10.1016/S1939-8654(24)00570-8","DOIUrl":"10.1016/S1939-8654(24)00570-8","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101839"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162816","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jmir.2024.101829
Amanda Bolderston EdD, MSc, MRT(T), FCAMRT
{"title":"Message de la rédactrice en chef","authors":"Amanda Bolderston EdD, MSc, MRT(T), FCAMRT","doi":"10.1016/j.jmir.2024.101829","DOIUrl":"10.1016/j.jmir.2024.101829","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101829"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974001","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}
Pub Date : 2024-12-31DOI: 10.1016/j.jmir.2024.101831
Kamran Shirbache , Melika Heidarzadeh , Reihane Qahremani , Amin Karami , Shaghayegh Karami , Elham Madreseh , Julio J. Jauregui , Ebrahim Najafzadeh , Ali Kazemi , Mohammad Hossein Nabian
<div><h3>Introduction</h3><div>Advanced imaging techniques, such as C-arm fluoroscopy, O-arm, and CT navigation, are integral to achieving precision in orthopedic surgeries. However, these technologies also expose patients, surgeons, and operating room staff to varying levels of radiation. This systematic review and meta-analysis evaluate the radiation exposure (RE) associated with these imaging modalities and their impact on surgical outcomes.</div></div><div><h3>Methods</h3><div>A comprehensive literature search was conducted following PRISMA guidelines, resulting in 2,725 identified articles. After removing duplicates and screening for eligibility, 24 studies were included in the analysis. Radiation exposure data, measured in milliSieverts (mSv) and milliGray (mGy), were standardized using conversion formulas. Quality assessments were performed using the Newcastle-Ottawa Scale (NOS) and ROB2 tools. Statistical analysis was conducted using random-effects models for comparing radiation exposure and fixed-effects models for secondary outcomes.</div></div><div><h3>Results</h3><div>The meta-analysis included 11 studies: 8 studies comparing C-arm and CT navigation, and 3 studies comparing C-arm and O-arm technologies. The analysis revealed that CT navigation is associated with significantly higher RE compared to C-arm (Standardized Mean Difference (SMD): 4.73, 95% Confidence Interval (CI): 2.44 to 7.03; p < 0.0001). In contrast, there was no significant difference in RE between O-arm and C-arm (SMD: 1.34, 95% CI: -0.17 to 2.85; p = 0.082). Secondary analyses showed no significant differences in surgery duration or hospitalization length between CT navigation and C-arm techniques.</div></div><div><h3>Discussion</h3><div>The results of this meta-analysis underscore the trade-offs between radiation exposure and surgical precision. While CT navigation significantly increases RE compared to C-arm fluoroscopy, it offers superior accuracy, particularly in critical precision surgeries such as spinal interventions. The lack of significant difference in RE between O-arm and C-arm technologies suggests that O-arm may provide a balanced approach, offering enhanced accuracy with radiation levels similar to C-arm. However, the significant heterogeneity among studies and inconsistent reporting of secondary outcomes indicate the need for further research. Future studies should focus on refining imaging techniques to optimize the balance between radiation safety and surgical accuracy.</div></div><div><h3>Conclusion</h3><div>C-arm imaging generally results in lower radiation exposure compared to CT navigation, making it preferable for standard procedures where extreme precision is not as critical. However, CT navigation's superior accuracy justifies its use in precision surgeries despite the higher radiation exposure. O-arm technology, with its comparable RE to C-arm and enhanced accuracy, represents a beneficial option where available. Ongoing research should aim
{"title":"A systematic review and meta-analysis of radiation exposure in spinal surgeries: Comparing C-Arm, CT navigation, and O-Arm techniques","authors":"Kamran Shirbache , Melika Heidarzadeh , Reihane Qahremani , Amin Karami , Shaghayegh Karami , Elham Madreseh , Julio J. Jauregui , Ebrahim Najafzadeh , Ali Kazemi , Mohammad Hossein Nabian","doi":"10.1016/j.jmir.2024.101831","DOIUrl":"10.1016/j.jmir.2024.101831","url":null,"abstract":"<div><h3>Introduction</h3><div>Advanced imaging techniques, such as C-arm fluoroscopy, O-arm, and CT navigation, are integral to achieving precision in orthopedic surgeries. However, these technologies also expose patients, surgeons, and operating room staff to varying levels of radiation. This systematic review and meta-analysis evaluate the radiation exposure (RE) associated with these imaging modalities and their impact on surgical outcomes.</div></div><div><h3>Methods</h3><div>A comprehensive literature search was conducted following PRISMA guidelines, resulting in 2,725 identified articles. After removing duplicates and screening for eligibility, 24 studies were included in the analysis. Radiation exposure data, measured in milliSieverts (mSv) and milliGray (mGy), were standardized using conversion formulas. Quality assessments were performed using the Newcastle-Ottawa Scale (NOS) and ROB2 tools. Statistical analysis was conducted using random-effects models for comparing radiation exposure and fixed-effects models for secondary outcomes.</div></div><div><h3>Results</h3><div>The meta-analysis included 11 studies: 8 studies comparing C-arm and CT navigation, and 3 studies comparing C-arm and O-arm technologies. The analysis revealed that CT navigation is associated with significantly higher RE compared to C-arm (Standardized Mean Difference (SMD): 4.73, 95% Confidence Interval (CI): 2.44 to 7.03; p < 0.0001). In contrast, there was no significant difference in RE between O-arm and C-arm (SMD: 1.34, 95% CI: -0.17 to 2.85; p = 0.082). Secondary analyses showed no significant differences in surgery duration or hospitalization length between CT navigation and C-arm techniques.</div></div><div><h3>Discussion</h3><div>The results of this meta-analysis underscore the trade-offs between radiation exposure and surgical precision. While CT navigation significantly increases RE compared to C-arm fluoroscopy, it offers superior accuracy, particularly in critical precision surgeries such as spinal interventions. The lack of significant difference in RE between O-arm and C-arm technologies suggests that O-arm may provide a balanced approach, offering enhanced accuracy with radiation levels similar to C-arm. However, the significant heterogeneity among studies and inconsistent reporting of secondary outcomes indicate the need for further research. Future studies should focus on refining imaging techniques to optimize the balance between radiation safety and surgical accuracy.</div></div><div><h3>Conclusion</h3><div>C-arm imaging generally results in lower radiation exposure compared to CT navigation, making it preferable for standard procedures where extreme precision is not as critical. However, CT navigation's superior accuracy justifies its use in precision surgeries despite the higher radiation exposure. O-arm technology, with its comparable RE to C-arm and enhanced accuracy, represents a beneficial option where available. Ongoing research should aim","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101831"},"PeriodicalIF":1.3,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916708","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}
Radiotherapy is a crucial part of breast cancer treatment. Precision in dose assessment is essential to minimize side effects. Traditionally, anatomical structures are delineated manually, a time-consuming process subject to variability. automatic segmentation, including methods based on multiple atlases and deep learning, offers a promising alternative. For the radiotherapy treatment of the left breast, the RTOG 1005 protocol highlights the importance of cardiac delineation and the need to minimize cardiac exposure to radiation. Our study aims to evaluate dose distribution in auto-segmented substructures and establish models to correlate them with dose in the cardiac area.
Methods and materials
Anatomical structures were auto-segmented using TotalSegmentator and Limbus AI. The relationship between the volume of the cardiac area and of organs at risk was assessed using log-linear regressions.
Results
The mean dose distribution was considerable for LAD (left anterior descending coronary artery), heart, and left ventricle. The volumetric distribution of organs at risk is evaluated for specific RTOG 1005 isodoses. We highlight the greater variability in the absolute volumetric evaluation. Log-linear regression models are presented to estimate dose constraint parameters. We highlight a greater number of highly correlated comparisons for absolute dose-volume assessment.
Conclusions
Dose-volume assessment protocols in patients with left breast cancer often neglect cardiac substructures. However, automatic tools can overcome these technical difficulties. In this study, we correlated the dose in the cardiac area with the doses in specific substructures and suggested limits for planning evaluation. Our data also indicates that statistical models could be applied in the assessment of those substructures where an automatic segmentation tool is not available. Our data also shows a benefit in reporting absolute dose-volume thresholds for future cause-effect assessments.
{"title":"Automatic segmentation of cardiac structures can change the way we evaluate dose limits for radiotherapy in the left breast","authors":"Murilo Guimarães Borges , Joyce Gruenwaldt , Danilo Matheus Barsanelli , Karina Emy Ishikawa , Silvia Radwanski Stuart","doi":"10.1016/j.jmir.2024.101844","DOIUrl":"10.1016/j.jmir.2024.101844","url":null,"abstract":"<div><h3>Purpose</h3><div>Radiotherapy is a crucial part of breast cancer treatment. Precision in dose assessment is essential to minimize side effects. Traditionally, anatomical structures are delineated manually, a time-consuming process subject to variability. automatic segmentation, including methods based on multiple atlases and deep learning, offers a promising alternative. For the radiotherapy treatment of the left breast, the RTOG 1005 protocol highlights the importance of cardiac delineation and the need to minimize cardiac exposure to radiation. Our study aims to evaluate dose distribution in auto-segmented substructures and establish models to correlate them with dose in the cardiac area.</div></div><div><h3>Methods and materials</h3><div>Anatomical structures were auto-segmented using TotalSegmentator and Limbus AI. The relationship between the volume of the cardiac area and of organs at risk was assessed using log-linear regressions.</div></div><div><h3>Results</h3><div>The mean dose distribution was considerable for LAD (left anterior descending coronary artery), heart, and left ventricle. The volumetric distribution of organs at risk is evaluated for specific RTOG 1005 isodoses. We highlight the greater variability in the absolute volumetric evaluation. Log-linear regression models are presented to estimate dose constraint parameters. We highlight a greater number of highly correlated comparisons for absolute dose-volume assessment.</div></div><div><h3>Conclusions</h3><div>Dose-volume assessment protocols in patients with left breast cancer often neglect cardiac substructures. However, automatic tools can overcome these technical difficulties. In this study, we correlated the dose in the cardiac area with the doses in specific substructures and suggested limits for planning evaluation. Our data also indicates that statistical models could be applied in the assessment of those substructures where an automatic segmentation tool is not available. Our data also shows a benefit in reporting absolute dose-volume thresholds for future cause-effect assessments.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101844"},"PeriodicalIF":1.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911322","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}
Pub Date : 2024-12-26DOI: 10.1016/j.jmir.2024.101832
Mahdiyeh Mirnam Niha, Mehdi Salehi Barough, Elham Saniei, Nooshin Banaee
Background
Gamma radiation at low doses might have potential health effects in long-term exposure. The current study was aimed to search cell death pathway and inflammatory biomarkers in nuclear medicine workers with long-term exposure to gamma radiation.
Material and Methods
Fifty cases with a history of 10 years’ exposure to gamma radiation and 30 normal individuals were included in the current study. Blood samples were collected and then analyzed for gene expression of apoptotic markers, pro-inflammatory factor TNF-a, and antioxidant enzymes using Real Time PCR (RT-PCR) in both groups. Protein expressions were examined by Western blot and trace elements were analyzed using atomic absorption spectrometry.
Result
In exposed group, the expression of pro-apoptotic markers (CASP 8, CASP 3, Casp 9, and BAX genes), the pro-inflammatory factor TNF and antioxidant enzymes such as SOD, CAT, and GPX was increased in comparison with control group (P < 0.05). However, Bcl2 expression was decreased in exposed group. In addition, there was a significant and inverse correlation between serum levels of zinc and selenium in the exposed subjects compared to the control group (P < 0.05).
Conclusion
Our results revealed the potential role of low and chronic doses of gamma radiation in triggering apoptosis and inflammatory responses. However, more studies are needed to consolidate our findings.
背景：低剂量的伽马辐射在长期照射下可能对健康产生潜在影响。目前的研究旨在寻找长期暴露于伽马辐射的核医学工作者的细胞死亡途径和炎症生物标志物。材料与方法：选取50例10年伽玛辐射暴露史患者和30例正常人作为研究对象。采集两组小鼠血液样本，采用实时荧光定量PCR （Real Time PCR, RT-PCR）检测细胞凋亡标志物、促炎因子TNF-a和抗氧化酶的基因表达。Western blot法检测蛋白表达，原子吸收光谱法分析微量元素。结果：暴露组促凋亡标志物（casp8、casp3、casp9、BAX基因）、促炎因子TNF、SOD、CAT、GPX等抗氧化酶表达均较对照组升高（P < 0.05）。暴露组Bcl2表达降低。此外，与对照组相比，暴露组血清锌和硒水平呈显著负相关（P < 0.05）。结论：我们的研究结果揭示了低剂量和慢性剂量γ辐射在触发细胞凋亡和炎症反应中的潜在作用。然而，需要更多的研究来巩固我们的发现。
{"title":"Long term effects of gamma radiation on inflammatory and apoptotic biomarkers in nuclear medicine staff","authors":"Mahdiyeh Mirnam Niha, Mehdi Salehi Barough, Elham Saniei, Nooshin Banaee","doi":"10.1016/j.jmir.2024.101832","DOIUrl":"10.1016/j.jmir.2024.101832","url":null,"abstract":"<div><h3>Background</h3><div>Gamma radiation at low doses might have potential health effects in long-term exposure. The current study was aimed to search cell death pathway and inflammatory biomarkers in nuclear medicine workers with long-term exposure to gamma radiation.</div></div><div><h3>Material and Methods</h3><div>Fifty cases with a history of 10 years’ exposure to gamma radiation and 30 normal individuals were included in the current study. Blood samples were collected and then analyzed for gene expression of apoptotic markers, pro-inflammatory factor TNF-a, and antioxidant enzymes using Real Time PCR (RT-PCR) in both groups. Protein expressions were examined by Western blot and trace elements were analyzed using atomic absorption spectrometry.</div></div><div><h3>Result</h3><div>In exposed group, the expression of pro-apoptotic markers (CASP 8, CASP 3, Casp 9, and BAX genes), the pro-inflammatory factor TNF and antioxidant enzymes such as SOD, CAT, and GPX was increased in comparison with control group (<em>P</em> < 0.05). However, Bcl2 expression was decreased in exposed group. In addition, there was a significant and inverse correlation between serum levels of zinc and selenium in the exposed subjects compared to the control group (<em>P</em> < 0.05).</div></div><div><h3>Conclusion</h3><div>Our results revealed the potential role of low and chronic doses of gamma radiation in triggering apoptosis and inflammatory responses. However, more studies are needed to consolidate our findings.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101832"},"PeriodicalIF":1.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901474","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}
Pub Date : 2024-12-24DOI: 10.1016/j.jmir.2024.101833
Róisín O’ Regan , Mohammad Rawashdeh , Mark F. McEntee , Niamh Moore , Ben Treanor , Magdi Ali , Andrew England
Background
Radiographers are frequently involved in imaging patients in pain thus requiring a heightened awareness and focus on this crucial issue.
Purpose
To explore the challenges radiographers encounter when imaging patients in pain and to identify strategies that could be implemented to improve overall patient-centered care.
METHODS
A qualitative research study with a single focus group (FG) was conducted using six radiographers working within Irish hospitals. The research questions focused on pain management challenges in the radiology department, particularly identifying radiographers' current practices and strategies to address these challenges. The FG was moderated and video-recorded to facilitate comprehensive analysis. The audio obtained from the FG was transcribed and then analyzed thematically.
Results
Data from the FG identified four main themes: 1) consequences of pain management, 2) communication, 3) professional experience, and 4) barriers. In addition, the study highlighted the absence of current protocols, policies, and guidelines in practice for the effective management of challenges associated with imaging patients in pain within the radiology department.
Conclusion
The primary challenges identified include the stress experienced by both staff and patients, the potential for obtaining suboptimal images, concerns regarding patient safety, and adverse effects on image quality. This study elucidates the manner in which patient discomfort adversely impacts the imaging process and delineates the potential implications for radiographers aiming to achieve optimal image quality. At present, there are no established policies or procedures within the radiology department to direct the imaging of patients in pain.
{"title":"Radiographers’ knowledge, clinical expertise and application of pain management strategies in the radiology department – results from a qualitative focus group","authors":"Róisín O’ Regan , Mohammad Rawashdeh , Mark F. McEntee , Niamh Moore , Ben Treanor , Magdi Ali , Andrew England","doi":"10.1016/j.jmir.2024.101833","DOIUrl":"10.1016/j.jmir.2024.101833","url":null,"abstract":"<div><h3>Background</h3><div>Radiographers are frequently involved in imaging patients in pain thus requiring a heightened awareness and focus on this crucial issue.</div></div><div><h3>Purpose</h3><div>To explore the challenges radiographers encounter when imaging patients in pain and to identify strategies that could be implemented to improve overall patient-centered care.</div></div><div><h3>METHODS</h3><div>A qualitative research study with a single focus group (FG) was conducted using six radiographers working within Irish hospitals. The research questions focused on pain management challenges in the radiology department, particularly identifying radiographers' current practices and strategies to address these challenges. The FG was moderated and video-recorded to facilitate comprehensive analysis. The audio obtained from the FG was transcribed and then analyzed thematically.</div></div><div><h3>Results</h3><div>Data from the FG identified four main themes: <em>1) consequences of pain management, 2) communication, 3) professional experience</em>, and <em>4) barriers</em>. In addition, the study highlighted the absence of current protocols, policies, and guidelines in practice for the effective management of challenges associated with imaging patients in pain within the radiology department.</div></div><div><h3>Conclusion</h3><div>The primary challenges identified include the stress experienced by both staff and patients, the potential for obtaining suboptimal images, concerns regarding patient safety, and adverse effects on image quality. This study elucidates the manner in which patient discomfort adversely impacts the imaging process and delineates the potential implications for radiographers aiming to achieve optimal image quality. At present, there are no established policies or procedures within the radiology department to direct the imaging of patients in pain.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101833"},"PeriodicalIF":1.3,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901475","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}
Pub Date : 2024-12-22DOI: 10.1016/j.jmir.2024.101798
Su Jean Loi , Wenhui Ng , Christopher Lai, Eric Chern-Pin Chua
Background
The rise of Artificial intelligence (AI) is reshaping healthcare, particularly in medical imaging. In this emerging field, clinical imaging personnel need proper training. However, formal AI education is lacking in medical curricula, coupled with a shortage of studies synthesising the availability of AI curricula tailored for clinical imaging personnel. This study therefore addresses the question “what are the current AI training programs or curricula for clinical imaging personnel?”
Methods
This review follows Arksey & O'Malley's framework and the PRISMA Extension for Scoping Reviews checklist. Six electronic databases were searched between June and September 2023 and the screening process comprised two stages. Data extraction was performed using a standardised charting form. Data was summarised in table format and thematically.
Results
Twenty-two studies were included in this review. The goals of the curriculum include enhancing AI knowledge through the delivery of educational content and encouraging practical application and skills development in AI. The learning objectives comprise technical proficiency and model development, foundational knowledge and understanding, literature review and information utilisation, and practical application and problem-solving skills. Course content spanned nine areas, from fundamentals of AI to imaging informatics. Most curricula adopted an online mode of delivery, and the program duration varied significantly. All programs utilised didactic presentations, with several incorporating additional teaching methods and activities to fulfil curriculum goals. The target audiences and participants primarily involved radiology residents, while the creators and instructors comprised a multidisciplinary team of radiology and AI personnel. Various tools and resources were utilised, encompassing online courses and cloud-based notebooks. The curricula were well-received by participants, and time constraint emerged as a major challenge.
Conclusion
This scoping review provides an overview of the AI educational programs from existing literature to guide future developments in AI educational curricula. Future education efforts should prioritise evidence-based curriculum design, expand training offerings to radiographers, increase content offerings in imaging informatics, and effectively utilise different teaching strategies and training tools and resources in the curriculum.
{"title":"Artificial intelligence education in medical imaging: A scoping review","authors":"Su Jean Loi , Wenhui Ng , Christopher Lai, Eric Chern-Pin Chua","doi":"10.1016/j.jmir.2024.101798","DOIUrl":"10.1016/j.jmir.2024.101798","url":null,"abstract":"<div><h3>Background</h3><div>The rise of Artificial intelligence (AI) is reshaping healthcare, particularly in medical imaging. In this emerging field, clinical imaging personnel need proper training. However, formal AI education is lacking in medical curricula, coupled with a shortage of studies synthesising the availability of AI curricula tailored for clinical imaging personnel. This study therefore addresses the question “what are the current AI training programs or curricula for clinical imaging personnel?”</div></div><div><h3>Methods</h3><div>This review follows Arksey & O'Malley's framework and the PRISMA Extension for Scoping Reviews checklist. Six electronic databases were searched between June and September 2023 and the screening process comprised two stages. Data extraction was performed using a standardised charting form. Data was summarised in table format and thematically.</div></div><div><h3>Results</h3><div>Twenty-two studies were included in this review. The goals of the curriculum include enhancing AI knowledge through the delivery of educational content and encouraging practical application and skills development in AI. The learning objectives comprise technical proficiency and model development, foundational knowledge and understanding, literature review and information utilisation, and practical application and problem-solving skills. Course content spanned nine areas, from fundamentals of AI to imaging informatics. Most curricula adopted an online mode of delivery, and the program duration varied significantly. All programs utilised didactic presentations, with several incorporating additional teaching methods and activities to fulfil curriculum goals. The target audiences and participants primarily involved radiology residents, while the creators and instructors comprised a multidisciplinary team of radiology and AI personnel. Various tools and resources were utilised, encompassing online courses and cloud-based notebooks. The curricula were well-received by participants, and time constraint emerged as a major challenge.</div></div><div><h3>Conclusion</h3><div>This scoping review provides an overview of the AI educational programs from existing literature to guide future developments in AI educational curricula. Future education efforts should prioritise evidence-based curriculum design, expand training offerings to radiographers, increase content offerings in imaging informatics, and effectively utilise different teaching strategies and training tools and resources in the curriculum.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101798"},"PeriodicalIF":1.3,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883876","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}
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