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The Emerging Role and Clinical Applications of Morphomics in Diagnostic Imaging Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-16 Patrick W. O’Regan, James A. O’Regan, Michael M. Maher, David J. Ryan
Analytic morphomics refers to the accurate measurement of specific biological markers of human body composition in diagnostic medical imaging. The increasing prevalence of disease processes that alter body composition including obesity, cachexia, and sarcopenia has generated interest in specific targeted measurement of these metrics to possibly prevent or reduce negative health outcomes. Typical morphomic
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Cinematic Rendering: A New Look at Pancreatic Neuroendocrine Tumour Imaging Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-13 Philippe Soyer
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Percutaneous Lung Biopsies With Robotic Systems: A Systematic Review of Available Clinical Solutions Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-06 Sylvain Bodard, Sylvain Guinebert, Elena N. Petre, Erica Alexander, Brett Marinelli, Debkumar Sarkar, Francois H. Cornelis
Objectives: This systematic review aims to assess existing research concerning the use of robotic systems to execute percutaneous lung biopsy. Methods: A systematic review was performed and identified 4 studies involving robotic systems used for lung biopsy. Outcomes assessed were operation time, radiation dose to patients and operators, technical success rate, diagnostic yield, and complication rate
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Sclerotherapy in the Treatment of Hydroceles: A Comprehensive Review of the Efficacy, Types of Sclerosants, and Comparative Outcomes Against Hydrocelectomy Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-06 Sana Rashid, Ajit Kishore, Basil Ahmad, Lorraine Min-Shan Liang, Oleg Mironov, Syed Umair Mahmood
While hydrocelectomy is the gold-standard for treating hydroceles, it poses an increased risk to patients and a greater burden to the healthcare system. Sclerotherapy is an alternative treatment for hydroceles that involves injecting a sclerosant into the hydrocele under ultrasound guidance. This literature review aimed to assess the types of sclerosants used and how sclerotherapy compares to hydrocelectomy
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Evaluation of Multimodal ChatGPT (GPT-4V) in Describing Mammography Image Features Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-06 Hana L. Haver, Manisha Bahl, Florence X. Doo, Peter I. Kamel, Vishwa S. Parekh, Jean Jeudy, Paul H. Yi
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Clinical Assessment of Magnetic Resonance Spectroscopy and Diffusion-Weighted Imaging in Diffuse Glioma: Insights Into Histological Grading and IDH Classification Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-05 Han-Wen Zhang, Hong-Bo Zhang, Xiao-Lei Liu, Hua-Zhen Deng, Yu-Zhe Zhang, Xu-Mei Tang, Fan Lin, Biao Huang
Purpose:To assess the diagnostic utility of clinical magnetic resonance spectroscopy (MRS) and diffusion-weighted imaging (DWI) in distinguishing between histological grading and isocitrate dehydrogenase ( IDH) classification in adult diffuse gliomas.Methods:A retrospective analysis was conducted on 247 patients diagnosed with adult diffuse glioma. Experienced radiologists evaluated DWI and MRS images
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Driving Change: Direct Patient Access to Medical Imaging Reports and the Need for Radiologist Involvement in Decision-Making Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-04-02 Ryan L. Smith, Judy Rowe, Daria Manos
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Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-28 Samantha M. Stott, Yujie Wu, Shahob Hosseinpour, Chaojun Chen, Khashayar Namdar, Afsaneh Amirabadi, Manohar Shroff, Farzad Khalvati, Andrea S. Doria
Purpose: Scoliosis is a complex spine deformity with direct functional and cosmetic impacts on the individual. The reference standard for assessing scoliosis severity is the Cobb angle which is measured on radiographs by human specialists, carrying interobserver variability and inaccuracy of measurements. These limitations may result in lack of timely referral for management at a time the scoliotic
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Addressing Gender Disparities for Equitable Practice in Radiology Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-21 Laura Manuela Olarte Bermúdez, Laura Andrea Campaña Perilla, Juan Martín Leguízamo-Isaza, Gloria Ines Palazuelos Jimenez
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Cinematic Rendering of Pancreatic Neuroendocrine Tumours: Opportunities for Clinical Implementation: Part 2: Preoperative Planning and Evaluation of Metastatic Disease Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-21 Taha M. Ahmed, Elliot K. Fishman, Linda C. Chu
Pancreatic neuroendocrine tumours (PNETs) are a rare subset of pancreatic tumours that have historically comprised up to 3% of all clinically detected pancreatic tumours. In recent decades, however, advancements in imaging have led to an increased incidental detection rate of PNETs and imaging has played an increasingly central role in the initial diagnostics and surgical planning of these tumours
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Cinematic Rendering of Pancreatic Neuroendocrine Tumours: Opportunities for Clinical Implementation: Part 1: Tumour Detection and Characterization Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-20 Taha M. Ahmed, Elliot K. Fishman, Linda C. Chu
Pancreatic neuroendocrine tumours (PNETs) are a rare subset of pancreatic tumours that have historically comprised up to 3% of all clinically detected pancreatic tumours. In recent decades, however, advancements in imaging have led to an increased incidental detection rate of PNETs and imaging has played an increasingly central role in the initial diagnostics and surgical planning of these tumours
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Interventional Radiology is Now at the Confluence of Expertise, Innovation, and Artificial Intelligence Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-19 Francois H. Cornelis, Philippe Soyer, Michael N. Patlas
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Improved Visibility of Lines and Tubes on Portable Dual-Energy Chest X-ray: Assessment in a Non-Radiological Reviewing Environment Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-16 Patrik Rogalla, Mary May, Sandeep Ronghe, Sonja Kandel, Jay Potipcoe, Nikhil S. Patil, Karim S. Karim, Jeffrey B. Mendel
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CAR and CSTR Cardiac Computed Tomography (CT) Practice Guidelines: Part 1 Coronary CT Angiography (CCTA) Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-15 Elsie T. Nguyen, Courtney R. Green, Scott J. Adams, Helen Bishop, Guylaine Gleeton, Cameron J. Hague, Kate Hanneman, Scott Harris, Jacek Strzelczyk, Carole Dennie
Imaging the heart is one of the most technically challenging applications of Computed Tomography (CT) due to the presence of cardiac motion limiting optimal visualization of small structures such as the coronary arteries. Electrocardiographic gating during CT data acquisition facilitates motion free imaging of the coronary arteries. Since publishing the first version of the Canadian Association of
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CAR and CSTR Cardiac Computed Tomography (CT) Practice Guidelines: Part 2-Non-Coronary Imaging Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-15 Elsie T. Nguyen, Courtney R. Green, Scott J. Adams, Helen Bishop, Guylaine Gleeton, Cameron J. Hague, Kate Hanneman, Scott Harris, Jacek Strzelczyk, Carole Dennie
The cardiac computed tomography (CT) practice guidelines provide an updated review of the technological improvements since the publication of the first Canadian Association of Radiologists (CAR) cardiac CT practice guidelines in 2009. An overview of the current evidence supporting the use of cardiac CT in the most common clinical scenarios, standards of practice to optimize patient preparation and
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Editor’s Corner: August 2024 Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-11 Abdullah Alabousi, Mostafa Alabousi, Michael N. Patlas
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An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-06 Blair Edward Warren, Alexander Bilbily, Judy Wawira Gichoya, Aaron Conway, Ben Li, Aly Fawzy, Camilo Barragán, Arash Jaberi, Sebastian Mafeld
Artificial intelligence (AI) is rapidly evolving and has transformative potential for interventional radiology (IR) clinical practice. However, formal training in AI may be limited for many clinicians and therefore presents a challenge for initial implementation and trust in AI. An understanding of the foundational concepts in AI may help familiarize the interventional radiologist with the field of
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Interventional Oncology: 2024 Update Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-06 Ruben Geevarghese, Sylvain Bodard, Leo Razakamanantsoa, Clement Marcelin, Elena N. Petre, Anthony Dohan, Adrian Kastler, Julien Frandon, Matthias Barral, Philippe Soyer, Francois H. Cornelis
Interventional Oncology (IO) stands at the forefront of transformative cancer care, leveraging advanced imaging technologies and innovative interventions. This narrative review explores recent developments within IO, highlighting its potential impact facilitated by artificial intelligence (AI), personalized medicine and imaging innovations. The integration of AI in IO holds promise for accelerating
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An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-06 Blair Edward Warren, Alexander Bilbily, Judy Wawira Gichoya, Lucas B. Chartier, Aly Fawzy, Camilo Barragán, Arash Jaberi, Sebastian Mafeld
The introduction of artificial intelligence (AI) in interventional radiology (IR) will bring about new challenges and opportunities for patients and clinicians. AI may comprise software as a medical device or AI-integrated hardware and will require a rigorous evaluation that should be guided based on the level of risk of the implementation. A hierarchy of risk of harm and possible harms are described
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Effect of Matrix Size and Acquisition Mode on Image Quality and Radiation Dose of Ultra-High-Resolution CT of the Temporal Bone: An Anatomical Study Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-03-04 Ulysse Puel, Michael Eliezer, Fatma Boubaker, Nicolas Villani, Bouchra Assabah, Gabriela Hossu, Pedro Augusto Gondim Teixeira, Alain Blum, Cécile Parietti-Winkler, Romain Gillet
Purpose: To compare image quality and radiation exposure between super- and ultra-high-resolution helical and super-high-resolution volumetric CT of the temporal bone. Methods: Six cadaveric temporal bone specimens were used to evaluate key temporal bone structures using the following CT reconstruction and acquisition modes: helical and single-volume acquisition modes in super-high resolution (0.25-mm
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Radiomics Studies on Ischemic Stroke and Carotid Atherosclerotic Disease: A Reporting Quality Assessment Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-29 Ann-Marie Beaudoin, Jan Kee Ho, Adrienne Lam, Vincent Thijs
Objective: To assess the reporting quality of radiomics studies on ischemic stroke, intracranial and carotid atherosclerotic disease using the Image Biomarker Standardization Initiative (IBSI) reporting guidelines with the aim of finding avenues of improvement for future publications. Method: PubMed database was searched to identify relevant radiomics studies. Of 560 articles, 41 original research
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Breast Cancer Screening in the Intermediate-Risk Population: Falling Through the Cracks? Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-29 Kaitlin M. Zaki-Metias, Huijuan Wang, Tima F. Tawil, Eda B. Miles, Lisa Deptula, Pooja Agrawal, Katie M. Davis, Lucy B. Spalluto, Jean M. Seely, Charlotte J. Yong-Hing
Breast cancer screening guidelines vary for women at intermediate risk (15%-20% lifetime risk) for developing breast cancer across jurisdictions. Currently available risk assessment models have differing strengths and weaknesses, creating difficulty and ambiguity in selecting the most appropriate model to utilize. Clarifying which model to utilize in individual circumstances may help determine the
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Pearls and Pitfalls of Imaging Small Bowel Obstruction Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-28 Katharina Feister, Katerina Konstantinoff, Mahdi Hamade, Vincent Mellnick
Small bowel obstruction (SBO) is a common condition encountered by radiologists in the evaluation of patients with abdominal pain, and is an important diagnosis to be comfortable with given substantial associated morbidity and mortality. In this review, we summarize an imaging approach to evaluating patients with suspected SBO, discuss the role of certain imaging modalities such as radiography and
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Reply to Letter to the Editor: Promoting Equity, Diversity, and Inclusion in Medicine: A Comprehensive Toolkit for Change in Radiology Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-27 Sonali Sharma, Elsie T. Nguyen, Tracey Hillier, Charlotte J. Yong-Hing
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Do Habitat MRI and Fractal Analysis Help Distinguish Triple-Negative Breast Cancer From Non-Triple-Negative Breast Carcinoma Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-23 Run Xu, Dan Yu, Peng Luo, Xuefeng Li, Lei Jiang, Shixin Chang, Guanwu Li
Purpose: To determine whether multiparametric MRI-based spatial habitats and fractal analysis can help distinguish triple-negative breast cancer (TNBC) from non-TNBC. Method: Multiparametric DWI and DCE-MRI at 3T were obtained from 142 biopsy- and surgery-proven breast cancer with 148 breast lesions (TNBC = 26 and non-TNBC = 122). The contrast-enhancing lesions were divided into 3 spatial habitats
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Re: “Promoting Equity, Diversity, and Inclusion in Medicine: A Comprehensive Toolkit for Change in Radiology” Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-22 Steve Herman
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Automatic Splenic Injury Classification on Contrast-Enhanced CT Using DenseNet Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-20 Jacky C. K. Chow, Michael N. Patlas
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Building a Non-Punitive Environment Around Adverse Events Reporting in Radiology: A Decisive Measure to Ameliorate Patient Safety Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-19 Juan Martín Leguízamo-Isaza, María Mónica Yepes-Bustamante, Diego Andrés Aguirre-Matallana, Javier Andrés Romero-Enciso
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The Virtual Reality Radiology Workstation: Current Technology and Future Applications Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-16 Iain A.D. Gamba, Angus Hartery
Virtual reality (VR) and augmented reality (AR) technology hold potential across many disciplines in medicine to expand the delivery of education and healthcare. VR-AR applications in radiology, in particular, have gained prominence and have demonstrated advantages in many areas within the field. Recently, VR software has emerged to redesign the physical radiology workstation (ie, reading room) to
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Risk Factors for Hospitalization Duration Longer Than 24 Hours Following Percutaneous Radiofrequency Ablation of Liver Tumours Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-14 Olivier Racette, Li Xin Zhang, Damien Olivié, Kim-Nhien Vu, Jeanne-Marie Giard, Franck Vandenbroucke-Menu, Gilles Soulez, Justine Zehr, An Tang, Jean-Sébastien Billiard
Purpose:Prior studies have described complications of radiofrequency ablation (RFA) of liver tumours. The aim of this study was to identify risk factors for hospitalization duration longer than 24 hours following RFA of liver tumours.Methods:This retrospective, single-centre study included patients with liver tumours undergoing RFA between October 2017 and July 2020. Medical records were reviewed to
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Imaging Features of Invasive Fungal Rhinosinusitis: A Systematic Review Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-12 Anni Chen, James Pietris, Stephen Bacchi, WengOnn Chan, Alkis J. Psaltis, Dinesh Selva, WanYin Lim
Fungal rhinosinusitis (FRS) includes non-invasive and invasive subtypes with the latter having significant morbidity and mortality. This systematic review aims to identify the imaging features most correlated with invasive fungal rhinosinusitis (IFRS) and present a checklist of these features to aid diagnosis. PubMed, Embase, CENTRAL, and Science Direct were searched from inception to May 2023, in
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Polyetheretherketone Polymer Transpedicular Vertebral System to Treat Vertebral Compression Fracture: A Multicentre Pilot Study of Feasibility and Safety Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-02-05 Matthias Barral, Léo Razakamanantsoa, Lambros Tselikas, Thierry De Baere, Jean-Charles Le Huec, Francois H. Cornelis
Objectives:To prospectively evaluate the feasibility and safety of a polyetheretherketone (PEEK) polymer transpedicular vertebral system to treat vertebral compression fracture (VCF).Methods:Nine consecutive patients (4 men and 5 women; median age 59 [interquartile range: 58-64 years]) were included. The procedure duration, length of hospital stay, and complications were reported. Visual analog scale
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Deep-Learning Reconstruction of High-Resolution CT Improves Interobserver Agreement for the Evaluation of Pulmonary Fibrosis Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-31 Akiyoshi Hamada, Koichiro Yasaka, Sosuke Hatano, Mariko Kurokawa, Shohei Inui, Takatoshi Kubo, Yusuke Watanabe, Osamu Abe
Objective: This study aimed to investigate whether deep-learning reconstruction (DLR) improves interobserver agreement in the evaluation of honeycombing for patients with interstitial lung disease (ILD) who underwent high-resolution computed tomography (CT) compared with hybrid iterative reconstruction (HIR). Methods: In this retrospective study, 35 consecutive patients suspected of ILD who underwent
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Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-22 Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, John Slavotinek
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. Nevertheless, the ever‑growing availability of AI tools in radiology highlights
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Chest CT at X-Ray Dose Using a Noise-Mitigating Weighted Projection: The Thoracic Tomogram. Diagnostic Performance for Pneumonia Detection in Hemato-Oncology Patients Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-19 Felipe Sanchez Tijmes, Sonja Kandel, John Kavanagh, Sean Carey, Mary May, Shiyi Chen, Jonas Mattsson, Patrik Rogalla
Purpose:To compare the diagnostic performance of a thick-slab reconstruction obtained from an ultra-low-dose CT (termed thoracic tomogram) with standard-of-care low-dose CT (SOC-CT) for rapid interpretation and detection of pneumonia in hemato-oncology patients.Methods:Hemato-oncology patients with a working diagnosis of pneumonia underwent an SOC-CT followed by an ultra-low-dose CT, from which the
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Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-08 Mohammad Hamghalam, Robert Moreland, David Gomez, Amber Simpson, Hui Ming Lin, Ali Babaei Jandaghi, Monica Tafur, Paraskevi A. Vlachou, Matthew Wu, Michael Brassil, Priscila Crivellaro, Shobhit Mathur, Shahob Hosseinpour, Errol Colak
Background:Multi-detector contrast-enhanced abdominal computed tomography (CT) allows for the accurate detection and classification of traumatic splenic injuries, leading to improved patient management. Their effective use requires rapid study interpretation, which can be a challenge on busy emergency radiology services. A machine learning system has the potential to automate the process, potentially
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Deep Learning for Pneumothorax Detection on Chest Radiograph: A Diagnostic Test Accuracy Systematic Review and Meta Analysis Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-08 Benjamin D. Katzman, Mostafa Alabousi, Nabil Islam, Nanxi Zha, Michael N. Patlas
Background:Pneumothorax is a common acute presentation in healthcare settings. A chest radiograph (CXR) is often necessary to make the diagnosis, and minimizing the time between presentation and diagnosis is critical to deliver optimal treatment. Deep learning (DL) algorithms have been developed to rapidly identify pathologic findings on various imaging modalities.Purpose:The purpose of this systematic
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Canadian Association of Radiologists Head and Neck Imaging Referral Guideline Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-08 Candyce Hamel, Barb Avard, Ross Campbell, Mario Kontolemos, Amanda Murphy
The Canadian Association of Radiologists (CAR) Head and Neck Expert Panel consists of radiologists, a laryngologist and laryngeal surgeon, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 11 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for
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Artificial Intelligence Chatbots’ Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-06 Nikhil S. Patil, Ryan S. Huang, Scott Caterine, Jason Yao, Natasha Larocque, Christian B. van der Pol, Euan Stubbs
Purpose:Patients may seek online information to better understand medical imaging procedures. The purpose of this study was to assess the accuracy of information provided by 2 popular artificial intelligence (AI) chatbots pertaining to common imaging scenarios’ risks, benefits, and alternatives.Methods:Fourteen imaging-related scenarios pertaining to computed tomography (CT) or magnetic resonance imaging
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Canadian Association of Radiologists Gastrointestinal Imaging Referral Guideline Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2024-01-06 Candyce Hamel, Barb Avard, Catherine Belanger, Avi Chatterjee, Angus Hartery, Howard Lim, Sivaruban Kanagaratnam, Christopher Fung
The Canadian Association of Radiologists (CAR) Gastrointestinal Expert Panel consists of radiologists, a gastroenterologist, a general surgeon, a family physician, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 20 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that
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Cross-Sectional Evaluation of Open Science Practices at Imaging Journals: A Meta-Research Study. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-24 Mohammed Kashif Al-Ghita,Kelly Cobey,David Moher,Mariska M G Leeflang,Sanam Ebrahimzadeh,Eric Lam,Paul Rooprai,Ahmed Al Khalil,Nabil Islam,Hamza Algodi,Haben Dawit,Robert Adamo,Mahdi Zeghal,Matthew D F McInnes
Objective: To evaluate open science policies of imaging journals, and compliance to these policies in published articles. Methods: From imaging journals listed we extracted open science policy details: protocol registration, reporting guidelines, funding, ethics and conflicts of interest (COI), data sharing, and open access publishing. The 10 most recently published studies from each journal were assessed
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Cinematic Rendering of Gastrointestinal Stromal Tumors: A Review of Current Possibilities and Future Developments. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-20 Maxime Barat,Anna Pellat,Benoit Terris,Anthony Dohan,Romain Coriat,Elliot K Fishman,Steven P Rowe,Linda Chu,Philippe Soyer
Gastrointestinal stromal tumors (GISTs) are defined as CD117-positive primary, spindled or epithelioid, mesenchymal tumors of the gastrointestinal tract, omentum, or mesentery. While computed tomography (CT) is the recommended imaging modality for GISTs, overlap in imaging features between GISTs and other gastrointestinal tumors often make radiological diagnosis and subsequent selection of the optimal
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Comment on: Abdominal Emergencies in Cancer Patients. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-20 Si-Un Frank Chiu,Kun-Ming Rau,Chih-Cheng Chen,Chong-Chi Chiu
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Utilization of Imaging for Severe Injuries at the Beijing 2022 Winter Olympic Games. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-20 Anne Drury,Lars Engebretsen,Kathrin Steffen,Torbjorn Soligard,Ran Liu,Bruce B Forster
Purpose: In order to better understand the imaging of severe trauma in sport, this study describes the imaging modalities utilized to image athletes who experienced severe traumatic injuries at the Beijing Winter Olympic Games 2022, the distribution of these modalities in relation to the sporting facilities, and the types of injuries imaged in each sport. Methods: This is a retrospective analysis with
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The Impact of Preoperative Breast MRI on Timing of Surgical Management in Newly Diagnosed Breast Cancer. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-15 Isabelle D Gauthier,Jean M Seely,Erin Cordeiro,Susan Peddle
Purpose: Preoperative breast MRI has been recommended at our center since 2016 for invasive lobular carcinoma and cancers in dense breasts. This study examined how preoperative breast MRI impacted surgical timing and outcomes for patients with newly diagnosed breast cancer. Methods: Retrospective single-center study of consecutive women diagnosed with new breast cancer between June 1, 2019, and March
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Gender and Racial Diversity in Relation to Publication Rates at the Canadian Association of Radiology Annual Scientific Meetings 2016 to 2019. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-15 Ishraq Joarder,Shukria Ahmadi,Faisal Khosa
Purpose: To determine the overall rate of publication of abstracts presented at the 2016 to 2019 Canadian Association of Radiology Annual Scientific Meeting (CAR ASM), with an emphasis on gender and racial diversity. Methods: Abstracts from publicly available past programs were analyzed using PubMed, EMBASE, and Google Scholar for publication status, time to publication (TTP), author affiliation, and
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Clinical Impact of Preoperative Magnetic Resonance Imaging in Breast Cancer. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-06 Mostafa Alabousi,Michael N Patlas
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CT, MRI, and Medical Radiation Technologist Trends in Ontario. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-11-06 Serena Morrill,Mark O Baerlocher,Michael N Patlas,Shreya Kanani,Jasmin Kantarevic,Christian B van der Pol
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Detection of Vertebral Mass and Diagnosis of Spinal Cord Compression in Computed Tomography With Deep Learning Reconstruction: Comparison With Hybrid Iterative Reconstruction. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-10-05 Nana Fujita,Koichiro Yasaka,Yusuke Watanabe,Naomasa Okimoto,Mao Konishiike,Osamu Abe
PURPOSE To compare the impact of deep learning reconstruction (DLR) and hybrid-iterative reconstruction (hybrid-IR) on vertebral mass depiction, detection, and diagnosis of spinal cord compression on computed tomography (CT). METHODS This retrospective study included 29 and 20 patients with and without vertebral masses. CT images were reconstructed using DLR and hybrid-IR. Three readers performed vertebral
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Canadian Association of Radiologists Musculoskeletal System Diagnostic Imaging Referral Guideline. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-09-27 Candyce Hamel,Barb Avard,Natalia Gorelik,Martin Heroux,David Mai,Adnan Sheikh,Anthony Vo,Mary-Lynn Watson,Kawan Rakhra
The Canadian Association of Radiologists (CAR) Musculoskeletal System Expert Panel consists of musculoskeletal radiologists, a family physician, a sports and exercise medicine physician, emergency medicine physicians, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 25 musculoskeletal clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken
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Canadian Association of Radiologists Breast Disease Imaging Referral Guideline. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-09-19 Candyce Hamel,Barb Avard,Carolyn Flegg,Vivianne Freitas,Connie Hapgood,Supriya Kulkarni,Pam Lenkov,Matthew Seidler
The Canadian Association of Radiologists (CAR) Breast Disease Expert Panel consists of breast imaging radiologists, a high-risk breast clinician, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 20 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations
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Photon-Counting Computed Tomography: A Potentially Groundbreaking Imaging Technology With Challenges to be Faced. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-09-13 Juan Martín Leguízamo-Isaza,Laura Andrea Campaña Perilla,Juan Francisco Ayala Valderrama,Bibiana Andrea Pinzón Valderrama
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Canadian Association of Radiologists Obstetrics and Gynecology Diagnostic Imaging Referral Guideline. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-09-07 Candyce Hamel,Baharak Amir,Barb Avard,Karen Fung-Kee-Fung,Beth Furey,Juliette Garel,Hournaz Ghandehari
The Canadian Association of Radiologists (CAR) Obstetrics and Gynecology Expert Panel consists of radiologists specializing in obstetrics and gynecology, obstetrics and gynecology physicians, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 12 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced
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Can ChatGPT Truly Overcome Other Large Language Models? Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-09-06 Partha Pratim Ray
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The Landscape of Rural and Remote Radiology in Canada: Opportunities and Challenges. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-28 Malcolm Davidson,Ania Kielar,R Petter Tonseth,Karen Seland,Sarah Harvie,Kate Hanneman
Diagnostic and interventional radiology play a crucial role in healthcare, facilitating diagnosis of disease, treatment planning, interventional therapies, and assessment for response to treatment. However, many rural and remote regions are disproportionately limited in accessing high-quality radiological services. Challenges include limited imaging infrastructure in these communities, geographic isolation
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Evaluation of the Association Between Sociodemographic Status and Breast Screening Volumes During the COVID-19 Pandemic in a Provincial, Population-Based Organized Breast Screening Program. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-24 Helena Bentley,Nivedha Raveinthiranathan,Colin Mar,Terry Tang,Dean A Regier,Kim Chi,Jonathan Simkin,Zina Kellow,Charlotte J Yong-Hing,Ryan R Woods
OBJECTIVES We sought to evaluate the association between patient sociodemographic status and breast screening volumes (BSVs) during the COVID-19 pandemic in a large, population-based breast screening program that serves a provincial population of over 5 million. Methods: All patients who completed breast screening between April 1st, 2017 and March 31st, 2021 were eligible to participate. An average
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Collaborative Strategies for Advancing Medical Education in Interventional Radiology. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-22 David Li,Andrew D Brown
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Towards Structured Reporting: Enhancing Patient-Centered Care in Radiology. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-18 Joel L Gamble,Alison Harris,Gilles Soulez
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Breast Magnetic Resonance Imaging for Preoperative Evaluation of Breast Cancer: A Systematic Review and Meta-Analysis. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-18 Andrea Eisen,Glenn G Fletcher,Samantha Fienberg,Ralph George,Claire Holloway,Supriya Kulkarni,Jean M Seely,Derek Muradali
Purpose: Preoperative breast magnetic resonance imaging (MRI) is known to detect additional cancers that are occult on mammography and ultrasound. There is debate as to whether these additional lesions affect clinical outcomes. The objective of this systematic review was to summarize the evidence on whether additional information on disease extent obtained with preoperative breast MRI in patients with
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Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment. Can. Assoc. Radiol. J. (IF 3.1) Pub Date : 2023-08-14 Nikhil S Patil,Ryan S Huang,Christian B van der Pol,Natasha Larocque
PURPOSE Bard by Google, a direct competitor to ChatGPT, was recently released. Understanding the relative performance of these different chatbots can provide important insight into their strengths and weaknesses as well as which roles they are most suited to fill. In this project, we aimed to compare the most recent version of ChatGPT, ChatGPT-4, and Bard by Google, in their ability to accurately respond