Niharika Shahi, Amer Alaref, Joshua O Cerasuolo, Noori Akhtar-Danesh, Joseph M Caswell, Pablo E Serrano, Brandon M Meyers, David W Savage, Jennifer Nelli, Michael N Patlas, Dylan Siltamaki, Abdullah Alabousi, Rabail Siddiqui, Christian B van der Pol
{"title":"Impact of Wait Time From Preoperative CT to Pancreatectomy on Overall Survival for Patients With Pancreatic Carcinoma.","authors":"Niharika Shahi, Amer Alaref, Joshua O Cerasuolo, Noori Akhtar-Danesh, Joseph M Caswell, Pablo E Serrano, Brandon M Meyers, David W Savage, Jennifer Nelli, Michael N Patlas, Dylan Siltamaki, Abdullah Alabousi, Rabail Siddiqui, Christian B van der Pol","doi":"10.1177/08465371241275150","DOIUrl":"10.1177/08465371241275150","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"180-182"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141865","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}
Alireza Mojibian, Jeff Jaskolka, Geoffrey Ching, Brian Lee, Renelle Myers, Chloe Devine, Savvas Nicolaou, William Parker
{"title":"The Efficacy of a Named Entity Recognition AI Model for Identifying Incidental Pulmonary Nodules in CT Reports.","authors":"Alireza Mojibian, Jeff Jaskolka, Geoffrey Ching, Brian Lee, Renelle Myers, Chloe Devine, Savvas Nicolaou, William Parker","doi":"10.1177/08465371241266785","DOIUrl":"10.1177/08465371241266785","url":null,"abstract":"<p><p><b>Purpose:</b> This study evaluates the efficacy of a commercial medical Named Entity Recognition (NER) model combined with a post-processing protocol in identifying incidental pulmonary nodules from CT reports. <b>Methods:</b> We analyzed 9165 anonymized CT reports and classified them into 3 categories: no nodules, nodules present, and nodules >6 mm. For each report, a generic medical NER model annotated entities and their relations, which were then filtered through inclusion/exclusion criteria selected to identify pulmonary nodules. Ground truth was established by manual review. To better understand the relationship between model performance and nodule prevalence, a subset of the data was programmatically balanced to equalize the number of reports in each class category. <b>Results:</b> In the unbalanced subset of the data, the model achieved a sensitivity of 97%, specificity of 99%, and accuracy of 99% in detecting pulmonary nodules mentioned in the reports. For nodules >6 mm, sensitivity was 95%, specificity was 100%, and accuracy was 100%. In the balanced subset of the data, sensitivity was 99%, specificity 96%, and accuracy 97% for nodule detection; for larger nodules, sensitivity was 94%, specificity 99%, and accuracy 98%. <b>Conclusions:</b> The NER model demonstrated high sensitivity and specificity in detecting pulmonary nodules reported in CT scans, including those >6 mm which are potentially clinically significant. The results were consistent across both unbalanced and balanced datasets indicating that the model performance is independent of nodule prevalence. Implementing this technology in hospital systems could automate the identification of at-risk patients, ensuring timely follow-up and potentially reducing missed or late-stage cancer diagnoses.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"68-75"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789878","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":"Value-Based Radiology in Canada: Reducing Low-Value Care and Improving System Efficiency.","authors":"Tyler D Yan, Sabeena Jalal, Alison Harris","doi":"10.1177/08465371241277110","DOIUrl":"10.1177/08465371241277110","url":null,"abstract":"<p><p>Radiology departments are increasingly tasked with managing growing demands on services including long waitlists for scanning and interventional procedures, human health resource shortages, equipment needs, and challenges incorporating advanced imaging solutions. The burden of system inefficiencies and the overuse of \"low-value\" imaging causes downstream impact on patients at the individual level, the economy and healthcare system at the societal level, and planetary health at an overarching level. Low value imaging includes those performed for an inappropriate clinical indication, with little to no value to the management of the patient, and resulting in healthcare resource waste; it is estimated that up to a quarter of advanced imaging studies in Canada meet this criterion. Strategies to reduce low-value imaging include the development and use of referral guidelines, use of appropriateness criteria, optimization of existing protocols, and integration of clinical decision support tools into the ordering provider's workflow. Additional means of optimizing system efficiency such as centralized intake models, improved access to electronic medical records and outside imaging, enhanced communication with patients and referrers, and the utilization of artificial intelligence will further increase the value of radiology provided to patients and care providers.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"61-67"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142114980","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 2024 CARJ Reviewers.","authors":"Ania Z Kielar, Michael N Patlas","doi":"10.1177/08465371241288414","DOIUrl":"https://doi.org/10.1177/08465371241288414","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":"76 1","pages":"13-14"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933346","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":"Environmentally Sustainable Radiology: Redefining Value and Quality.","authors":"Kate Hanneman","doi":"10.1177/08465371241291387","DOIUrl":"10.1177/08465371241291387","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"19-20"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481452","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":"Elevating Breast Cancer Detection: The Critical Role of MRI and Biopsy Accuracy.","authors":"Jean M Seely","doi":"10.1177/08465371241291392","DOIUrl":"10.1177/08465371241291392","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"23-24"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481451","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 Much-Needed Green Revolution in Radiology.","authors":"Aaditeya Jhaveri, Michael N Patlas","doi":"10.1177/08465371241268398","DOIUrl":"10.1177/08465371241268398","url":null,"abstract":"","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"11-12"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861740","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}
Candyce Hamel, Barb Avard, Nicolas Dea, Ryan Margau, Andrew Mattar, Alan Michaud, Matthias Schmidt, David Volders, Christopher Witiw, James Worrall, Amanda Murphy
{"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":"https://doi.org/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":"8465371241311247"},"PeriodicalIF":2.9,"publicationDate":"2025-01-30","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}
Candyce Hamel, Barb Avard, Howard Lim, Alex Mathieson, Alan Michaud, Kristoff Nelson, Devang Odedra, Jason Pantarotto, Anna Wilkinson, Karim Samji
{"title":"Canadian Association of Radiologists Cancer Diagnostic Imaging Referral Guideline.","authors":"Candyce Hamel, Barb Avard, Howard Lim, Alex Mathieson, Alan Michaud, Kristoff Nelson, Devang Odedra, Jason Pantarotto, Anna Wilkinson, Karim Samji","doi":"10.1177/08465371241312087","DOIUrl":"10.1177/08465371241312087","url":null,"abstract":"<p><p>The Canadian Association of Radiologists (CAR) Cancer Expert Panel is made up of physicians from the disciplines of radiology, medical oncology, surgical oncology, radiation oncology, family medicine/general practitioner oncology, a patient advisor, and an epidemiologist/guideline methodologist. The Expert Panel developed a list of 29 clinical/diagnostic scenarios, of which 16 pointed to other CAR guidelines. A rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of the remaining 13 scenarios. Recommendations from 21 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) for guidelines framework were used to develop the recommendation for these scenarios. During recommendation formulation, one additional scenario was mapped to an existing CAR guideline scenario, leaving 12 scenarios with new recommendations. The guideline focuses on cancer diagnosis and does not cover cancer staging, follow-up, and surveillance. This guideline presents the methods of development and the referral recommendations for suspected pancreatic cancer, suspected liver cancer, incidental liver mass, incidental colon mass or suspected colon cancer, suspected anal cancer, suspected penile cancer, suspected cervical cancer, suspected endometrial/uterine cancer, suspected vulvar cancer, suspected vaginal cancer, suspected haematologic malignancies, and suspected skin cancer. The guideline also points to other CAR guidelines for suspected neck, thyroid, brain, lung, intracardiac/pericardial, esophageal/gastric, renal, adrenal, bladder, testicular, prostate and ovarian cancers, suspected soft tissue mass or tumour, suspected bone tumour, suspected bone tumour --myeloma, suspected spine tumours, and incidental lung cancer.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371241312087"},"PeriodicalIF":2.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026115","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}
Adam Byrne, D Blair Macdonald, Iain D C Kirkpatrick, Magali Pham, Courtney R Green, Ana Maria Copaescu, Matthew D F McInnes, Ling Ling, Anne Ellis, Andreu F Costa
{"title":"CAR/CSACI Practice Guidance for Contrast Media Hypersensitivity.","authors":"Adam Byrne, D Blair Macdonald, Iain D C Kirkpatrick, Magali Pham, Courtney R Green, Ana Maria Copaescu, Matthew D F McInnes, Ling Ling, Anne Ellis, Andreu F Costa","doi":"10.1177/08465371241311253","DOIUrl":"10.1177/08465371241311253","url":null,"abstract":"<p><p>Contrast media, including iodinated contrast media and gadolinium-based contrast agents, are commonly administered pharmaceuticals with excellent safety profiles. However, a minority of the population may experience a hypersensitivity reaction following intravenous administration. Hypersensitivity reactions can be immediate or delayed, and range from mild, such as urticaria, to severe, including anaphylaxis. There is emerging evidence that longstanding pretreatment protocols, such as diphenhydramine and corticosteroids, are ineffective and have the potential for side effects and other harms. Moreover, the evidence for efficacy on which this practice is based is weak and outdated. A joint collaborative working group of representatives from the Canadian Association of Radiologists and the Canadian Society of Allergy and Clinical Immunology was assembled to inform medical professionals and hospital policies regarding hypersensitivity reactions to contrast media. The objectives of the working group were to provide an overview of the epidemiology, physiology, risk factors, and types of hypersensitivity reactions; to synthesize the evidence for pretreatment strategies that minimize the risk of a breakthrough reaction for both iodinated contrast media and gadolinium-based contrast agents; to review the allergy investigations used to evaluate patients with a history of severe hypersensitivity reaction; and to provide an overview of existing guidelines. Following appraisal of the evidence, the working group established recommendations based on consensus in this practice guidance.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371241311253"},"PeriodicalIF":2.9,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967250","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}