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

{"title":"Supplemental Screening for Breast Cancer and Implementation.","authors":"Zina Kellow, Jean M Seely","doi":"10.1177/08465371251322076","DOIUrl":"10.1177/08465371251322076","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"371-372"},"PeriodicalIF":2.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460877","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}

{"title":"Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis.","authors":"Robert G Adamo, Eric Lam, Jean-Paul Salameh, Christian B van der Pol, Stacy M Goins, Haben Dawit, Andreu F Costa, Brooke Levis, Amit G Singal, Victoria Chernyak, Claude B Sirlin, Mustafa R Bashir, An Tang, Ayman Alhasan, Brian C Allen, Caecilia S Reiner, Christopher Clarke, Daniel R Ludwig, Milena Cerny, Jin Wang, Sang Hyun Choi, Tyler J Fraum, Bin Song, Ijin Joo, So Yeon Kim, Heejin Kwon, Hanyu Jiang, Hyo-Jin Kang, Andrea S Kierans, Yeun-Yoon Kim, Maxime Ronot, Joanna Podgórska, Grzegorz Rosiak, Ji Soo Song, Matthew D F McInnes","doi":"10.1177/08465371241306297","DOIUrl":"10.1177/08465371241306297","url":null,"abstract":"<p><p><b>Background:</b> Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. <b>Purpose:</b> To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC. <b>Methods:</b> Databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched from 2014 to 2022. Individual participant data (IPD) were extracted from studies evaluating HCC diagnosis using CT/MRI LI-RADS and reporting HCC risk factors. IPD from studies were pooled and modelled with one-stage meta-regressions. Interactions were assessed between major features and HCC risk factors, including age, sex, cirrhosis, chronic hepatitis B virus (HBV), and study location. A mixed effects model that included the major features, as well as separate models that included interactions between each risk factor and each major feature, were fit. Differences in interactions across levels of each risk factor were calculated using adjusted odds-ratios (ORs), 95% confidence-intervals (CI), and <i>z</i>-tests. Risk of bias was assessed using QUADAS-2. (Protocol: https://osf.io/tdv7j/). <b>Results:</b> Across 23 studies (2958 patients and 3553 observations), the associations between LI-RADS major features and HCC were consistent across several HCC risk factors (<i>P</i>-value range: .09-.99). A sensitivity analysis among the 4 studies with a low risk of bias did not differ from the primary analysis. <b>Conclusion:</b> The association between CT/MRI LI-RADS major features and HCC risk factors do not significantly differ in individuals at-risk for HCC. These findings suggest that CT/MR LI-RADS should be applied to all patients considered at risk by LI-RADS without modification or exclusions, regardless of the presence or absence of the risk factors evaluated in this study.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"466-476"},"PeriodicalIF":2.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904059","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}

{"title":"Canadian Association of Radiologists Central Nervous System Diagnostic Imaging Referral Guideline.","authors":"Candyce Hamel, Barb Avard, Nicolas Dea, Ryan Margau, Andrew Mattar, Alan Michaud, Matthias Schmidt, David Volders, Christopher Witiw, James Worrall, Amanda Murphy","doi":"10.1177/08465371241311247","DOIUrl":"10.1177/08465371241311247","url":null,"abstract":"<p><p>The Canadian Association of Radiologists (CAR) Central Nervous System Expert Panel is made up of physicians from the disciplines of radiology, emergency medicine, neurosurgery, and neurology, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 24 clinical/diagnostic scenarios, a rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 55 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) for guidelines framework were used to develop 51 recommendation statements across the 24 scenarios. This guideline presents the methods of development and the referral recommendations for congenital disorders of the brain, cerebrovascular disease, multiple sclerosis and demyelinating disease, headache, concussion, pituitary and juxtasellar lesions, cranial neuropathy, brain stem symptoms, altered intracranial pressure (hypertension, hypotension, hydrocephalus suspected shunt malfunction, normal pressure hydrocephalus), vestibular and cochlear symptoms (hearing loss, vertigo), mental status change (acute, dementia/memory loss), visual loss, epilepsy and seizure, CNS infection, intracranial space-occupying lesions, suspected cerebral venous sinus thrombosis, vasculitis, movement disorders/Parkinsonism, metabolic and toxic encephalopathies, and aneurysm screening.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"435-443"},"PeriodicalIF":2.9,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069654","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}

{"title":"CARJ Outstanding Reviewers Awards for 2025.","authors":"Michael N Patlas","doi":"10.1177/08465371251359853","DOIUrl":"https://doi.org/10.1177/08465371251359853","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251359853"},"PeriodicalIF":3.7,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144746047","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}

{"title":"Advances in Pancreatic Imaging: The Expanding Role of Dual-Energy CT in Clinical Diagnosis: A Comprehensive Review.","authors":"Mohammadhossein Ghasempourabadi, Hazel O'Neill, Nicolas Murray, Alison Harris","doi":"10.1177/08465371251352840","DOIUrl":"https://doi.org/10.1177/08465371251352840","url":null,"abstract":"<p><p>Dual-energy computed tomography has become a pivotal tool in abdominal imaging, particularly for pancreatic pathologies such as pancreatic ductal adenocarcinoma, trauma assessment, and acute pancreatitis. Its ability to provide enhanced contrast resolution, reduce artifacts, and optimize radiation dose makes it invaluable in both acute and non-acute clinical settings. This narrative review summarizes the technological advancements and clinical applications of dual-energy computed tomography in pancreatic imaging. A comprehensive review of 21 peer-reviewed studies published between 2013 and 2024 was conducted to evaluate the role of dual-energy computed tomography in all pancreatic imaging indications, including tumor detection, pancreatitis assessment, trauma evaluation, and radiation dose optimization. The analysis included retrospective and prospective studies retrieved from multiple databases, including PubMed, Scopus, and Google Scholar. The findings highlight the technology's capacity to improve diagnostic accuracy, reduce image artifacts, and lower radiation exposure through techniques such as virtual monoenergetic imaging and iodine quantification. Comparisons with conventional computed tomography focused on diagnostic performance metrics such as contrast-to-noise ratio, and signal-to-noise ratio. Additionally, this narrative review underscores the clinical relevance of dual-energy computed tomography in evaluating non-traumatic acute abdominal conditions, especially among elderly patients.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251352840"},"PeriodicalIF":3.7,"publicationDate":"2025-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979157","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}

{"title":"CARJ 2025: Year in Review.","authors":"Hayley Briody, Kate Hanneman, Philippe Soyer, Michael N Patlas","doi":"10.1177/08465371251360188","DOIUrl":"https://doi.org/10.1177/08465371251360188","url":null,"abstract":"<p><p>Artificial intelligence (AI) and sustainability have been the subject of much research in the field of radiology throughout 2025. The future of the radiologist and our planet has been called into question. We have had to shift focus and evolve to embrace the progress AI can bring while limiting our environmental impact and maximising efficiency in the face of an ever-increasing workload. This year's Canadian Association of Radiologists Journal \"Year in Review\" revisits the 10 most powerful articles published by our journal in 2025, exploring what's next for AI, sustainability and system efficiency.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251360188"},"PeriodicalIF":3.7,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857103","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}

{"title":"Discrepancies in Vessel Diameter Measurements Between CTA and DSA in MCA M1 Occlusions: An Interobserver Study.","authors":"Patrick Rogers, Ellen Parker, Marco Marangoni, Ian R MacDonald, Cha-Ney Kim, Eef J Hendriks, David Volders","doi":"10.1177/08465371251356908","DOIUrl":"https://doi.org/10.1177/08465371251356908","url":null,"abstract":"<p><strong>Purpose: </strong>Accurate vessel measurement is essential in endovascular thrombectomy (EVT) for acute ischemic stroke. Discrepancies between computed tomography angiography (CTA) and digital subtraction angiography (DSA) may impact procedural planning and device selection. This study compares vessel diameter measurements from CTA and DSA in patients with middle cerebral artery (MCA) M1 occlusions.</p><p><strong>Methods: </strong>In this single-center retrospective study, 90 consecutive patients who underwent EVT for MCA M1 occlusions between February 2020 and March 2024 were included. Vessel diameters were independently measured by 3 neuroradiologists using CTA and DSA (pre- and post-intervention). Statistical analysis included Wilcoxon signed-rank tests, intraclass correlation coefficient (ICC), and Bland-Altman analysis.</p><p><strong>Results: </strong>CTA consistently overestimated vessel diameter compared to DSA. The mean M1 diameter was 2.29 ± 0.27 mm on CTA and 2.16 ± 0.30 mm on pre-EVT DSA (<i>P</i> < .001), with a median difference of 0.4 mm (IQR: 0.2-0.6 mm). In 70% of cases, CTA values exceeded DSA. Bland-Altman analysis confirmed a mean difference of +0.13 mm (limits of agreement: -0.25 to +0.51 mm). No significant change was observed between pre- and post-EVT DSA measurements (<i>P</i> = .103). Clot-side M1 segments were significantly smaller than contralateral measurements on CTA (<i>P</i> = .003). Inter-rater agreement was good (ICC = .785).</p><p><strong>Conclusions: </strong>CTA overestimates MCA M1 diameter relative to DSA. While the discrepancy is modest, it may influence device selection in borderline cases. Awareness of this variability is important, and further research is warranted to explore its clinical implications.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251356908"},"PeriodicalIF":3.7,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145014492","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}

{"title":"A Note of Thanks to 2025 CARJ Reviewers.","authors":"Alison Harris, Michael N Patlas","doi":"10.1177/08465371251357246","DOIUrl":"https://doi.org/10.1177/08465371251357246","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251357246"},"PeriodicalIF":2.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144644200","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}

{"title":"Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation.","authors":"Hajra Arshad, Felipe Lopez-Ramirez, Florent Tixier, Philippe Soyer, Satomi Kawamoto, Elliot K Fishman, Linda C Chu","doi":"10.1177/08465371251351810","DOIUrl":"10.1177/08465371251351810","url":null,"abstract":"<p><p>Radiomics is a mathematical approach to medical images to extract quantitative features generating a \"radiomics signature.\" The radiomics workflow involves image acquisition and pre-processing, region of interest segmentation, feature extraction, and then model training and validation. It has generated promising results, however, clinical implementation for early detection remains a challenge. Pancreatic ductal adenocarcinoma (PDAC), the most common pancreatic cancer, has a highly aggressive nature with an aggregated 5-year survival rate of only 13%. Early detection of PDAC provides timely surgical intervention, hoping for improved survival rates. Radiomics has been applied to the detection of PDAC; however, its sensitivity to variations in image acquisition parameters has posed significant challenges, limiting the development of robust and generalizable models. This review explores the current landscape of radiomics for the early detection of PDAC, highlighting key challenges within the radiomics workflow and barriers to its progression from a proof-of-concept into clinical practice.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251351810"},"PeriodicalIF":3.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592985","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}

{"title":"The 'FLAIR Motor Sign': FLAIR Signal Abnormality in Precentral Cortex is Useful to Diagnose Adult Global Hypoxic-Ischemic Brain Injury Following Cardiac Arrest.","authors":"Jaykumar Raghavan Nair, Sarah Abdulla, Aditya Bharatha, Manish Joshi, Shobhit Mathur","doi":"10.1177/08465371251352699","DOIUrl":"10.1177/08465371251352699","url":null,"abstract":"<p><strong>Purpose: </strong>The precentral cortex normally demonstrates lower signal intensity compared to remainder of the neocortex on 2D fluid attenuated inversion recovery (FLAIR) images. Loss of this normal hypointensity bilaterally can be seen in patients with adult hypoxic-ischemic brain injury (HIBI). We have named this the 'FLAIR motor' sign (FMS). The performance of this sign for detection of HIBI is evaluated in this case-control study.</p><p><strong>Methods: </strong>MRI studies of 74 consecutive patients with clinical evidence of HIBI following cardiac arrest formed the 'case' group. Controls comprised of normal MRI studies of an equal number of age and gender matched patients. Two fellowship-trained neuro-radiologists reviewed the MRI studies in a blinded randomized fashion and recorded the presence or absence of 'FLAIR motor' sign.</p><p><strong>Results: </strong>Average time from cardiac arrest to MRI was 7.12 days (range: 1-25 days). The average sensitivity and specificity of 'FLAIR motor' sign for HIBI was 86.49% and 100% respectively. The sign demonstrated excellent inter-reader agreement (kappa >0.8).</p><p><strong>Conclusion: </strong>The loss of the normal hypointensity in bilateral pre-central cortex on 2D-FLAIR images is a specific and reliable MRI sign of HIBI in the subacute phase following cardiac arrest in adults.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251352699"},"PeriodicalIF":3.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592986","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}