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Alwahbi O, Larocque N, Kulkarni A, Gopee-Ramanan PP, Ghumman Z, Sarkar R, Kagoma Y, Alabousi A, Tsai S, Wat J, McInnes M, van der Pol CB. Pancreatic Cystic Lesions on MRI: What Is The Likelihood of a Present or Future Diagnosis of Pancreatic Carcinoma? J Magn Reson Imaging 2022; 57:1567-1575. [PMID: 36151888 DOI: 10.1002/jmri.28438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Pancreatic cystic lesions (PCLs) are followed for years due to older and likely biased works demonstrating a strong association with pancreatic carcinoma; more recent data are needed clarifying this relationship. PURPOSE To determine the association between PCLs on MRI and a synchronous or future diagnosis of pancreatic carcinoma. STUDY TYPE Single-center retrospective cohort. POPULATION A total of 192 patients (111 female, 58%) with median age 66 years (range 26-87 years) with PCLs on abdominal MRI from 2011 to 2016. FIELD STRENGTH/SEQUENCES 1.5 T and 3 T, including T2 WI, T1 WI, diffusion weighted imaging and contrast-enhanced T1 WI. ASSESSMENT Each PCL was reviewed independently by 2 of 10 fellowship-trained abdominal radiologists. Fukuoka guideline worrisome features and high-risk stigmata were evaluated. Follow-up imaging and clinical notes were reviewed within a system that captures pancreatic carcinoma for the region, for a median follow-up of 67 months (interquartile range: 43-88 months). STATISTICAL TESTS Pancreatic carcinoma prevalence and incidence rate for future carcinoma with 95% confidence intervals (95% CI). Fisher exact test, logistic regression with odds ratios (OR) and the Wilcoxon rank-sum test were used to assess PCL morphologic features with the Kolmogorov-Smirnov test used to assess for normality. P < 0.05 defined statistical significance. RESULTS The prevalence of pancreatic carcinoma on initial MRI showing a PCL was 2.4% (95% CI: 0.9%, 5.2%). Thickened/enhancing cyst wall was associated with pancreatic carcinoma, OR 52 (95% CI: 4.5, 1203). Of 189 patients with a PCL but without pancreatic carcinoma at the time of initial MRI, one developed high-grade dysplasia and none developed invasive carcinoma for an incidence rate of 0.97 (95% CI: 0.02, 5.43) and 0 (95% CI: 0, 3.59) cases per 1000 person-years, respectively. DATA CONCLUSION A low percentage of patients with a PCL on MRI had a pancreatic carcinoma at the time of initial evaluation and none developed carcinoma over a median 67 months of follow-up. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: 5.
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Affiliation(s)
- Omar Alwahbi
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Natasha Larocque
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Hamilton General Hospital, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Ameya Kulkarni
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Prasaanthan Prasa Gopee-Ramanan
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Zonia Ghumman
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Rahul Sarkar
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Yoan Kagoma
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Abdullah Alabousi
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Scott Tsai
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Josephine Wat
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Matthew McInnes
- Department of Radiology and Epidemiology, University of Ottawa, Canada.,Ottawa Hospital Research Institute Clinical Epidemiology Program, Ontario, Canada
| | - Christian B van der Pol
- Department of Radiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
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Abstract
Peer learning is a quality initiative used to identify potential areas of practice improvement, both on a patient level and on a systemic level. Opportunities for peer learning include review of prior imaging studies, evaluation of cases from multidisciplinary case conferences, and review of radiology trainees' call cases. Peer learning is non-punitive and focuses on promoting life-long learning. It seeks to identify and disseminate learning opportunities and areas for systems improvement compared to traditional peer review. Learning opportunities arise from peer learning through both individual communication of cases reviewed for routine work, as well as through anonymous presentation of aggregate cases in an educational format. In conjunction with other tools such as root cause analysis, peer learning can be used to guide future practice improvement opportunities. This guide provides definitions of terms and a synthetic evidence review regarding peer review and peer learning, as well as medicolegal and jurisdictional considerations. Important aspects of what makes an effective peer learning program and best practices for implementing such a program are presented. The guide is intended to be a living document that will be updated regularly as new data emerges and peer learning continues to evolve in radiology practices.
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Affiliation(s)
- Felipe Soares Torres
- Joint Department of Medical Imaging, Toronto General Hospital, 7938University of Toronto, Toronto, ON, Canada
| | - Andreu F Costa
- Department of Radiology, Queen Elizabeth II Health Sciences Centre, Dalhousie University, Halifax, NS, Canada
| | - Yoan Kagoma
- Hamilton Health Sciences, McMaster University Faculty of Health Sciences, Hamilton, ON, Canada
| | | | - Malcolm Scott
- Misericordia Community Hospital, University of Alberta, Edmonton, AB, Canada
| | - Brian Yemen
- Hamilton Health Sciences, 3710McMaster University, Hamilton, ON, Canada
| | - Casey Hurrell
- Canadian Association of Radiologists, Ottawa, ON, Canada
| | - Ania Kielar
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
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de Wit K, Mercuri M, Clayton N, Worster A, Mercier E, Emond M, Varner C, McLeod SL, Eagles D, Stiell I, Barbic D, Morris J, Jeanmonod R, Kagoma Y, Shoamanesh A, Engels PT, Sharma S, Kearon C, Papaioannou A, Parpia S. Which older emergency patients are at risk of intracranial bleeding after a fall? A protocol to derive a clinical decision rule for the emergency department. BMJ Open 2021; 11:e044800. [PMID: 34215600 PMCID: PMC8256748 DOI: 10.1136/bmjopen-2020-044800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Falling on level ground is now the most common cause of traumatic intracranial bleeding worldwide. Older adults frequently present to the emergency department (ED) after falling. It can be challenging for clinicians to determine who requires brain imaging to rule out traumatic intracranial bleeding, and often head injury decision rules do not apply to older adults who fall. The goal of our study is to derive a clinical decision rule, which will identify older adults who present to the ED after a fall who do not have clinically important intracranial bleeding. METHODS AND ANALYSIS This is a prospective cohort study enrolling patients aged 65 years or older, who present to the ED of 11 hospitals in Canada and the USA within 48 hours of having a fall. Patients are included if they fall on level ground, off a chair, toilet seat or out of bed. The primary outcome is the diagnosis of clinically important intracranial bleeding within 42 days of the index ED visit. An independent adjudication committee will determine the primary outcome, blinded to all other data. We are collecting data on 17 potential predictor variables. The treating physician completes a study data form at the time of initial assessment, prior to brain imaging. Data extraction is supplemented by an independent, structured electronic medical record review. We will perform binary recursive partitioning using Classification and Regression Trees to derive a clinical decision rule. ETHICS AND DISSEMINATION The study was initially approved by the Hamilton Integrated Research Ethics Committee and subsequently approved by the research ethics boards governing all participating sites. We will disseminate our results by journal publication, presentation at international meetings and social media. TRIAL REGISTRATION NUMBER NCT03745755.
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Affiliation(s)
- Kerstin de Wit
- Department of Emergency Medicine, Queen's University, Kingston, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Mathew Mercuri
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Natasha Clayton
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Emergency Department, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Andrew Worster
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Eric Mercier
- Centre de recherche du CHU de Québec, Université Laval, Québec, Quebec, Canada
- Centre de recherche sur les soins et les services de première ligne, Université Laval, Québec, Québec, Canada
| | - Marcel Emond
- Centre de recherche du CHU de Québec, Université Laval, Québec, Quebec, Canada
- Centre de recherche sur les soins et les services de première ligne, Université Laval, Québec, Québec, Canada
| | - Catherine Varner
- Schwartz/Reisman Emergency Medicine Institute, Sinai Health System, Toronto, Ontario, Canada
- Family and community medicine, University of Toronto, Toronto, Ontario, Canada
| | - Shelley L McLeod
- Schwartz/Reisman Emergency Medicine Institute, Sinai Health System, Toronto, Ontario, Canada
- Family and community medicine, University of Toronto, Toronto, Ontario, Canada
| | - Debra Eagles
- Department of Emergency Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Heath, University of Ottawa, Ottawa, Ontario, Canada
| | - Ian Stiell
- Department of Emergency Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - David Barbic
- Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Health Evaluation Outcome Sciences, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Judy Morris
- Department of Family Medicine and Emergency Medicine, Université de Montréal, Montreal, Quebec, Canada
- Department of Family Medicine and Emergency Medicine, Université de Montréal, Québec, Québec, Canada
| | - Rebecca Jeanmonod
- Emergency Medicine, St. Luke's University Health Network, Bethlehem, Pennsylvania, USA
| | - Yoan Kagoma
- Department of Radiology, McMaster University, Hamilton, Ontario, Canada
| | - Ashkan Shoamanesh
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Paul T Engels
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Sunjay Sharma
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Clive Kearon
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | | | - Sameer Parpia
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Ontario Clinical Oncology Group, McMaster University, Hamilton, Ontario, Canada
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