November 29, 2024
Toronto Radiology is pleased to announce that our University of Toronto faculty radiologists, fellows and residents based at St. Michael’s Hospital, Unity Health Toronto have several scientific abstracts and educational exhibits that will be presented at the Radiological Society of North America (RSNA) 2024 annual meeting starting on December 1, 2024, in Chicago, IL. The presentations are as follows:
Utility of Low-Field Portable Brain MRI for Ruling Out Space-Occupying Lesions and Hydrocephalus in Patients With Papilledema and Other Ophthalmologic Signs of Possible Increased Intracranial Pressure: Preliminary Experience
This study evaluates the feasibility of using low-field portable brain MRI (pMRI) for ruling out conditions requiring urgent neurosurgical assessment and whether it can play a role in point of care assessments in clinics. Contributors: Timothy Reynold U. Lim, MD, Rayyan Kinsara, Jonathan Micieli, Amy W. Lin, FRCPC, Shobhit Mathur, MD, Yingming Amy Chen, MD, Suradech Suthiphosuwan, MD, Anish Kirpalani, MD, FRCPC, Jiwon Oh, MD, PhD, Julian Spears, and Aditya Bharatha, MD.
Using the Black Box of AI to Find Radiologist Blindspots in Detecting Cervical Spine Fractures on CT
An AI-driven analysis revealing missed cervical spine fractures and whether machine learning can be used to refine a radiologist’s search patterns. Contributors: Yingming Amy Chen, Zixuan Hu, Kevin Daniel Shek, Jefferson Wilson, Fahad Saud S. Alotaibi, Christopher Witiw, Hui Ming Lin, Robyn L. Ball, Markand Patel, Shobhit Mathur, Ervin Sejdić, and Errol Colak.
Breaking Barriers: A Guide to Traumatic Diaphragmatic Injuries
An educational guide offering key imaging insights for identifying and reporting traumatic diaphragmatic injuries. Contributors: Vinu Mathew, Yigal Frank, Joel Kosowan, Noah Ditkofsky, Robert Moreland, David Gomez, and Shobhit Mathur.
Low-Field (64mT) Portable Brain MRI in Hospitalized and Emergency Department Patients: Real-World Experience From Our First Two Years
This study reviews the first two years of using bedside portable brain MRI, highlighting its diagnostic value and impact on patient management in hospitalized and emergency department settings. Contributors: Vinu Mathew, Amy W. Lin, Shobhit Mathur, Yingming Amy Chen, Julian Spears, and Aditya Bharatha.
Retrospective External Validation of a Deep Learning Based Splenic Injury Detection Model
A validation study of an ML model for automatic detection and grading of splenic injuries in trauma care. Contributors: Aaditeya Jhaveri, Theo Viel, Zixuan Hu, Hui Ming Lin, David Gomez, Robert Moreland, Robyn L. Ball, Matthew J. Wu, Paraskevi Vlachou, Monica Tafur, and Errol Colak.
The Role of Chest CT in Monitoring Cystic Fibrosis Modulator Therapy
An educational exhibit detailing how low-dose chest CT is utilized to assess patients initiating and undergoing CFTR modulator therapy. Contributors: Ji-Yeon Han, Jose Miguel Castro Garcia, Djeven Deva, Matias Felipe Callejas, and Laura Jimenez-Juan.
Exploring the Best Monochromatic Energy Level in Dual Energy Spectral Imaging for Intracranial Venous Stents
This study evaluates the optimal monochromatic energy levels (MELs) for dual-energy spectral CT in imaging intracranial venous stents, focusing on improving image quality and minimizing artifacts. Contributors: Joel Kosowan, Timothy Reynold U. Lim, Vinu Mathew, Yingming Amy Chen, Vitor Mendes Pereira, Nicole Cancelliere, and Shobhit Mathur.
Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution
An investigation into how environmental factors influence emergency imaging demand. Contributors: Kate Hanneman, Anish Kirpalani, Shane O’Driscoll, Scott Delaney, Rachel Nethery, Julien Aguet, Birgit Betina Ertl-Wagner, Heidi C. Schmidt, Omar Taboun, Joseph Choi, Haley Panet, Maura J. Brown, Ania Kielar, and Michael Patlas.
We are incredibly proud of our team’s dedication to advancing radiology through impactful research and education. These contributions highlight Toronto Radiology’s commitment to improving patient care and driving innovation in medical imaging.
