Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes最新文献

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Addressing Burnout in the Canadian Radiology Trainee. 解决加拿大放射学实习生的职业倦怠问题。
IF 3.7 3区 医学
Aaditeya Jhaveri, Michael N Patlas
{"title":"Addressing Burnout in the Canadian Radiology Trainee.","authors":"Aaditeya Jhaveri, Michael N Patlas","doi":"10.1177/08465371251375874","DOIUrl":"https://doi.org/10.1177/08465371251375874","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251375874"},"PeriodicalIF":3.7,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145193822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting. 基于x射线的人工智能筛查工具提高了临床环境中骨密度降低的早期检测。
IF 3.7 3区 医学
Andrew N Jayarajah, Angela Atinga, Linda Probyn, Thiru Sivakumaran, Monique Christakis, Anastasia Oikonomou
{"title":"AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.","authors":"Andrew N Jayarajah, Angela Atinga, Linda Probyn, Thiru Sivakumaran, Monique Christakis, Anastasia Oikonomou","doi":"10.1177/08465371251380240","DOIUrl":"https://doi.org/10.1177/08465371251380240","url":null,"abstract":"<p><strong>Purpose: </strong>Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quality of life and significant burden to the healthcare system. We aimed to evaluate the ability of Rho, an artificial intelligence (AI) tool, to prospectively identify patients at-risk for low bone mineral density (BMD) from standard x-rays, its adoption rate by radiologists, and acceptance by primary care providers (PCPs).</p><p><strong>Methods: </strong>Patients ≥50 years were recruited when undergoing an x-ray of a Rho-eligible body part for any clinical indication. Questionnaires were completed at baseline and 6-month follow-up, and PCPs of \"Rho-Positive\" patients (those likely to have low BMD) were asked for feedback. Positive predictive value (PPV) was calculated in patients who returned within 6 months for a DXA.</p><p><strong>Results: </strong>Of 1145 patients consented, 987 had x-rays screened by Rho, and 655 were flagged as Rho-Positive. Radiologists included this finding in 524 (80%) of reports. Of all Rho-Positive patients, 125 had a DXA within 6 months; Rho had a 74% PPV for DXA T-Score <-1. From 51 PCP responses, 78% found Rho beneficial. Of 389 patients with follow-up questionnaire data, a greater proportion of Rho-Positive versus -negative patients had discussed bone health with their PCP since study start (36% vs 18%, <i>P</i> < .001), or were newly diagnosed with osteoporosis (11% vs 5%; <i>P</i> = .03).</p><p><strong>Conclusion: </strong>By identifying patients at-risk of low BMD, with acceptability of reporting by radiologists and generally positive feedback from PCPs, Rho has the potential to improve low screening rates for osteoporosis by leveraging existing x-ray data.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251380240"},"PeriodicalIF":3.7,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Balancing Model Generalization With Local Performance: Insights From AI in Prostate Cancer Classification. 平衡模型泛化与局部性能:来自人工智能在前列腺癌分类中的见解。
IF 3.7 3区 医学
Emir A Syailendra, Zahra Rahmatullah, Felipe Lopez-Ramirez, Linda C Chu
{"title":"Balancing Model Generalization With Local Performance: Insights From AI in Prostate Cancer Classification.","authors":"Emir A Syailendra, Zahra Rahmatullah, Felipe Lopez-Ramirez, Linda C Chu","doi":"10.1177/08465371251377467","DOIUrl":"https://doi.org/10.1177/08465371251377467","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251377467"},"PeriodicalIF":3.7,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Burnout and Wellness Interventions Among Canadian Radiology Trainees: A Single Institution Study. 加拿大放射学受训人员的职业倦怠和健康干预:一项单机构研究。
IF 3.7 3区 医学
Joanna Yuen, Morgan Young-Speirs, Waqas Ahmad, Urvi Joshi, Cameron Hague, Silvia D Chang
{"title":"Burnout and Wellness Interventions Among Canadian Radiology Trainees: A Single Institution Study.","authors":"Joanna Yuen, Morgan Young-Speirs, Waqas Ahmad, Urvi Joshi, Cameron Hague, Silvia D Chang","doi":"10.1177/08465371251369842","DOIUrl":"https://doi.org/10.1177/08465371251369842","url":null,"abstract":"<p><strong>Purpose: </strong>This study examines factors contributing to burnout among radiology residents through a Canadian lens and assesses strategies employed at our institution to mitigate its impact.</p><p><strong>Methods: </strong>This was a single-institution cross-sectional study. Four anonymous online surveys were administered through Qualtrics to PGY 2-5 radiology residents from 2021 to 2025. These surveys identified residents with burnout and distress and assessed contributing factors, suggestions for reducing burnout, and residents' responses to implemented interventions. Interventions were employed at 2 hospitals within our institution.</p><p><strong>Results: </strong>The surveys had response rates of 30% (2021), 57.7% (2023), 60% (2024), and 62% (2025). 50% of pre-intervention respondents were identified as burned out. The rate reduced to 18.8% post-intervention, with results not being statistically significant (<i>P</i> = .167). Top factors driving burnout included time (eg, increased work hours, time constraints), extra duties (clinical and administrative), and perceived lack of radiology knowledge when dealing with complex cases. Interventions included additional daily 1-hour teaching sessions, wellness lunch rounds, debriefing sessions, transitioning from paper-based protocolling to a hybrid-electronic paper-based system, call schedule modifications, improved ergonomics, and social functions, including incorporating indoor and outdoor activities. Interventions targeting work hours were subjectively the most well-received in combating burnout.</p><p><strong>Conclusion: </strong>This study underscores the prevalence of burnout among radiology residents. Our institution has implemented a multi-faceted approach to address burnout within our radiology residency program.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251369842"},"PeriodicalIF":3.7,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representation in Action: Early Radiology Exposure for Low Socio-Economic Status High School Students. 行动中的代表:低社会经济地位高中生的早期放射暴露。
IF 3.7 3区 医学
Sarah Moussa, Hendrick Paquette Ambroise, Ariane Songa Côté, Olga Romano
{"title":"Representation in Action: Early Radiology Exposure for Low Socio-Economic Status High School Students.","authors":"Sarah Moussa, Hendrick Paquette Ambroise, Ariane Songa Côté, Olga Romano","doi":"10.1177/08465371251377062","DOIUrl":"10.1177/08465371251377062","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251377062"},"PeriodicalIF":3.7,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hepatocellular Carcinoma Surveillance: Operational and Environmental Impact of Abbreviated MRI Protocols. 肝细胞癌监测:简化MRI协议的操作和环境影响。
IF 3.7 3区 医学
Sean A Woolen, Fayyaz Ahamed, Robert D MacDougall, Benoit Scherrer, Marc D Kohli, Alastair Martin, Shuting Dai, Prasad Shankar, Zhen J Wang
{"title":"Hepatocellular Carcinoma Surveillance: Operational and Environmental Impact of Abbreviated MRI Protocols.","authors":"Sean A Woolen, Fayyaz Ahamed, Robert D MacDougall, Benoit Scherrer, Marc D Kohli, Alastair Martin, Shuting Dai, Prasad Shankar, Zhen J Wang","doi":"10.1177/08465371251371567","DOIUrl":"https://doi.org/10.1177/08465371251371567","url":null,"abstract":"<p><strong>Objective: </strong>To assess the operational and environmental benefits of using an abbreviated protocol for hepatocellular carcinoma (HCC) surveillance.</p><p><strong>Methods: </strong>This IRB-approved retrospective single-center quality improvement study evaluated time, energy use, and appointment access. Inclusion criteria were HCC surveillance MRIs with either a full or abbreviated imaging protocol. Exclusion criteria were other abdominopelvic MR protocols or incomplete studies. DICOM time data were extracted via Quantivly and validated with 10 prospective time studies. Exam times from PACS images were cross-referenced with DICOM data to identify and resolve extraction outliers. Power logs from 10 exams per protocol were used to quantify energy and greenhouse gas emissions. Schedule logs assessed appointment volume changes. Mean times (±SD) and energy (±SD) were reported, and Welch's <i>t</i>-test determined statistical significance (<i>P</i> < .05).</p><p><strong>Results: </strong>Exam times for 487 MRIs (318 abbreviated, 169 full protocol) were analyzed, with 67 excluded. The mean duration of exam time for the abbreviated protocol was 12.0 minutes (SD: 4.3), compared with 29.7 minutes (SD: 8.8) for the full protocol (mean difference, 17.7 minutes; <i>P</i> < .0001). The mean energy for the abbreviated protocol was 4.7 kWh (SD: 0.6), compared with 11.7 kWh (SD: 1.3) for the full protocol (mean difference, 7.0 kWh; <i>P</i> < .0001). Across 318 abbreviated exams, estimated savings totaled 2226 kWh and 1494.6 kg CO2eq. Despite time savings, MRI appointment volume and scanner access remained unchanged.</p><p><strong>Conclusion: </strong>Abbreviated HCC surveillance MRIs cut scan time, energy use, and carbon emissions by 60%, but scheduling complexities precluded increased MRI appointments.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251371567"},"PeriodicalIF":3.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection. 局部数据训练对于深度学习MRI前列腺癌检测仍然很重要。
IF 3.7 3区 医学
Shawn G Carere, John Jewell, Paola V Nasute Fauerbach, David B Emerson, Antonio Finelli, Sangeet Ghai, Masoom A Haider
{"title":"Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection.","authors":"Shawn G Carere, John Jewell, Paola V Nasute Fauerbach, David B Emerson, Antonio Finelli, Sangeet Ghai, Masoom A Haider","doi":"10.1177/08465371251367620","DOIUrl":"https://doi.org/10.1177/08465371251367620","url":null,"abstract":"<p><strong>Objectives: </strong>Domain shift has been shown to have a major detrimental effect on AI model performance however prior studies on domain shift for MRI prostate cancer segmentation have been limited to small, or heterogenous cohorts. Our objective was to assess whether prostate cancer segmentation models trained on local MRI data continue to outperform those trained on external data with cohorts exceeding 1000.</p><p><strong>Methods: </strong>We simulated a multi-institutional consortium using the public PICAI dataset (PICAI-TRAIN: <i>1241 exams</i>, PICAI-TEST: <i>259</i>) and a local dataset (LOCAL-TRAIN: <i>1400 exams</i>, LOCAL-TEST: <i>308</i>). IRB approval was obtained and consent waived. We compared nnUNet-v2 models trained on the combined data (CENTRAL-TRAIN) and separately on PICAI-TRAIN and LOCAL-TRAIN. Accuracy was evaluated using the open source PICAI Score on LOCAL-TEST. Significance was tested using bootstrapping.</p><p><strong>Results: </strong>Just 22% (309/1400) of LOCAL-TRAIN exams would be sufficient to match the performance of a model trained on PICAI-TRAIN. The CENTRAL-TRAIN performance was similar to LOCAL-TRAIN performance, with PICAI Scores [95% CI] of 65 [58-71] and 66 [60-72], respectively. Both of these models exceeded the model trained on PICAI-TRAIN alone which had a score of 58 [51-64] (<i>P</i> < .002). Reducing training set size did not alter these relative trends.</p><p><strong>Conclusion: </strong>Domain shift limits MRI prostate cancer segmentation performance even when training with over 1000 exams from 3 external institutions. Use of local data is paramount at these scales.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251367620"},"PeriodicalIF":3.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145041919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-World Performance of MRI-TRUS Fusion Biopsy in a Canadian Tertiary Centre: What Drives a Positive Diagnosis? 加拿大三级中心MRI-TRUS融合活检的真实世界表现:是什么驱动了阳性诊断?
IF 3.7 3区 医学
Guilherme Strieder de Oliveira, Leonardo K Bittencourt, Silvia D Chang, Adriano B Dias
{"title":"Real-World Performance of MRI-TRUS Fusion Biopsy in a Canadian Tertiary Centre: What Drives a Positive Diagnosis?","authors":"Guilherme Strieder de Oliveira, Leonardo K Bittencourt, Silvia D Chang, Adriano B Dias","doi":"10.1177/08465371251375871","DOIUrl":"https://doi.org/10.1177/08465371251375871","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251375871"},"PeriodicalIF":3.7,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CARJ Editor's Award 2025. 2025年CARJ编辑奖。
IF 3.7 3区 医学
Casey Hurrell, Michael N Patlas
{"title":"CARJ Editor's Award 2025.","authors":"Casey Hurrell, Michael N Patlas","doi":"10.1177/08465371251372417","DOIUrl":"https://doi.org/10.1177/08465371251372417","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251372417"},"PeriodicalIF":3.7,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CAR Survey of Patterns and Perspectives on Multidisciplinary Team Rounds in Canada. 加拿大多学科小组轮次模式和观点的CAR调查。
IF 3.7 3区 医学
Kaitlin Zaki-Metias, Casey Hurrell, Elka Miller, David Volders, Tanya Chawla
{"title":"CAR Survey of Patterns and Perspectives on Multidisciplinary Team Rounds in Canada.","authors":"Kaitlin Zaki-Metias, Casey Hurrell, Elka Miller, David Volders, Tanya Chawla","doi":"10.1177/08465371251365205","DOIUrl":"https://doi.org/10.1177/08465371251365205","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to assess the experiences and challenges faced by Canadian radiologists participating in Multidisciplinary Team rounds (MDT), with a focus on demographics, meeting characteristics, preparation processes, and perceptions of workload and compensation.</p><p><strong>Methods: </strong>The Canadian Association of Radiologists constituted a working group which developed a 35-question survey that was distributed to 1958 radiologists and radiology trainees across Canada. The survey garnered 129 complete responses, for a response rate of 6.6%.</p><p><strong>Results: </strong>Respondents predominantly practiced in academic settings (65.9%) and had subspecialty training (96.1%). The majority reported that MDT rounds lasted 30 to 60 minutes and discussed 6 to 10 cases. Most radiologists (62.8%) were the sole presenters of imaging. Preparation time was often limited, with only 6.2% having dedicated time for preparation. 59.8% of respondents reported receiving additions to caseloads within the 24-hour period prior to the meetings. While 93.8% valued the opportunity for interaction with colleagues, 93.8% felt inadequately compensated for their efforts by their practices, while 92.3% felt inadequately compensated by their province.</p><p><strong>Conclusions: </strong>While most radiologists indicated adequate time for discussion and meaningful clinical engagement during rounds, many highlighted repeated challenges such as last-minute case additions, lack of protected preparation time, and technological barriers. Systemic barriers also play a role and include lack of provincial remuneration and workforce issues which in turn impact individual workload pressures.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251365205"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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