149 results match your criteria: "University Medical Imaging Toronto[Affiliation]"

Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.

Radiology

January 2025

From the Department of Radiology, University of Washington, UW Medical Center-Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington, Seattle, Wash (D.M.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (M.v.A.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (M.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (T.L., E.E.W.); Departments of Cardiology and Radiology, Royal Brompton Hospital, London, United Kingdom (E.D.N.); School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom (E.D.N.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (B.D.A.); Department of Radiology, University of Cagliari, Cagliari, Italy (L.S.); Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1 Postbus 30 001, 9700 RB Groningen, the Netherlands (R.V.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada (K.H.).

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.

View Article and Find Full Text PDF

Normal variations of myocardial T1, T2 and T2* values at 1.5 T cardiac MRI in sex-matched healthy volunteers.

Diagn Interv Imaging

January 2025

UFR Santé INSERM U1096, Rouen 76183, France; Department of Radiology and Medical Imaging (Cardiac Imaging Unit), CHU de Rouen Normandie, Hôpital Charles Nicolle, University of Rouen Normandie, Rouen 76000, France. Electronic address:

Purpose: The purpose of this study was to determine the normal variations of myocardial T1, T2, and T2* relaxation times on cardiac MRI obtained at 1.5 T in healthy, sex-balanced volunteers aged between 18 and 69 years.

Material And Methods: A total of 172 healthy volunteers were recruited prospectively.

View Article and Find Full Text PDF

Diagnostic Value of Gastrin-Releasing Peptide Receptor-Targeted PET Imaging in Oncology: A Systematic Review.

Semin Nucl Med

January 2025

Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital, Paracelsus Medical University, Salzburg, Austria. Electronic address:

Gastrin-releasing peptide receptor (GRPR), overexpressed in various cancers, is a promising target for positron emission tomography (PET). This systematic review investigated the diagnostic value of GRPR-targeted PET imaging in oncology. A systematic search was conducted on major medical databases until May 23, 2024.

View Article and Find Full Text PDF

Green Nuclear Medicine and Radiotheranostics.

J Nucl Med

January 2025

Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liège, Quartier Hôpital, Liège, Belgium.

There is a significantly growing interest in diagnostic and therapeutic radiopharmaceuticals, and it is foreseeable that an unprecedented number of patients will need to be treated with new nuclear medicine therapies. This predicted increase will have potentially significant environmental impacts. In this discussion, we show different areas of impact, as well as possible measures to reduce such impact.

View Article and Find Full Text PDF

Objectives: To evaluate 18F-DCFPyL-PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) and predicting metastasis.

Methods: Therapy-naïve PCa patients who underwent 18F-DCFPyL PET/MRI were included. Whole-prostate-segmentation was performed.

View Article and Find Full Text PDF

Insights into Radiology Publications.

Indian J Radiol Imaging

January 2025

Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada.

The evolution of modern medicine has been significantly driven by medical and health care research, underscoring the importance of disseminating findings to advance health care. Medical literature, encompassing various publication types such as case reports, review articles, and original research, plays a crucial role in this process by facilitating the communication and discussion of new discoveries. This review article provides a comprehensive guide to understanding and navigating radiologic publications.

View Article and Find Full Text PDF

Current Status of CT Imaging Before Common Transcatheter Interventions for Structural Heart Disease.

Diagnostics (Basel)

January 2025

Department of Radiology, Azienda Ospedaliero Universitaria, University of Cagliari, 09124 Cagliari, Italy.

Over the past decade, several trials and observational studies have validated the use of minimally invasive cardiac interventions as viable treatment options for various cardiac diseases. Transcatheter techniques for severe aortic valve stenosis have rapidly emerged as alternatives to surgical aortic valve replacement in certain patient populations. Additionally, non-surgical treatment options have expanded for conditions affecting other cardiac valves, such as the mitral valve.

View Article and Find Full Text PDF

Prognostic Value of Response Evaluation Using PSMA PET/CT in Patients with Metastatic Prostate Cancer (RECIP 1.0): A Systematic Review and Meta-analysis.

Acad Radiol

January 2025

University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network-Sinai Health System -Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.A.M., P.V.H., U.M., A.B.D.). Electronic address:

Rationale And Objectives: Recently, the Response Evaluation Using PSMA PET/CT in Patients with Metastatic Castration-Resistant Prostate Cancer (RECIP 1.0) was proposed to better evaluate treatment response in prostate cancer patients using PET/CT with prostate-specific membrane antigen (PSMA) than more traditional approaches like metabolic PET evaluation response criteria in solid tumor (PERCIST 1.0).

View Article and Find Full Text PDF

Expanding Cryoneurolysis to Refractory Ventricular Arrhythmias.

Radiology

December 2024

From the Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (F.C.); UFR Santé INSERM U1096, Rouen, France (F.C.); and Department of Medical Imaging, Hôpital Saint Joseph, Marseille, France (U.S.).

View Article and Find Full Text PDF

Imperative for a health-centred focus on climate change in radiology.

J Med Imaging Radiat Oncol

December 2024

Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.

Climate change negatively impacts individual and population-level health through multiple pathways, including poor air quality, extreme heat and changes in infectious disease. These health effects will lead to higher health system and medical imaging utilisation. At the same time, the delivery of radiology services generates substantial greenhouse gas emissions.

View Article and Find Full Text PDF

Top 2024 Images in Cardiothoracic Imaging.

Radiol Cardiothorac Imaging

December 2024

From the Department of Radiology, University of Washington, Seattle, Wash (D.M.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.G.); Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom (S.A.); INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, United Kingdom (S.A.); NIHR Sheffield Biomedical Research Centre, Sheffield, United Kingdom (S.A.); Department of Medical Imaging, University of Toronto, Toronto, Canada (K.H.); University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5S 1A1 (K.H.); and Department of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre, University of Leicester, Glenfield Hospital, Leicester, United Kingdom (G.S.G.).

View Article and Find Full Text PDF

Unraveling distinctions between contrast-enhanced ultrasound and CT/MRI for liver mass diagnosis.

Ultrasonography

January 2025

University Medical Imaging Toronto, Joint Department of Medical Imaging - University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto, Canada.

Contrast-enhanced ultrasound (CEUS) offers a distinctive approach to liver mass diagnosis by utilizing intravenous contrast agents for enhanced visualization of vascular structures and tissue characterization. This review highlights the unique advantages of CEUS compared to computed tomography (CT) and magnetic resonance imaging (MRI), particularly focusing on the Liver Imaging Reporting and Data System framework. Key differences include CEUS's realtime imaging capability, which minimizes arterial phase mistiming and improves detection of hyperenhancing lesions, and its ability to provide detailed washout patterns.

View Article and Find Full Text PDF

Cardiac MRI Pectoralis Muscle Thickness as a Measure of Sarcopenia: Prognostic Significance, Interreader Agreement, and Physiologic Correlation.

Radiol Cardiothorac Imaging

December 2024

From the Joint Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital, University Health Network (UHN), 1 PMB-298, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.D.I., J.F.M., P.T., R.M.W., M.M., R.H., K.H.); Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (M.D.I., J.F.M., P.T., R.M.W., M.M., K.H.); Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada (W.H.L., N.d.S., Y.M., P.T., R.M.W.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada (Y.M., P.T., R.M.W., K.H.).

Purpose To evaluate pectoralis muscle thickness at routine cardiac MRI as a marker of sarcopenia, including prognostic significance for major adverse cardiac events (MACE), interobserver agreement, and correlation with physiologic parameters. Materials and Methods This retrospective cohort study included adult patients undergoing cardiac MRI for assessment of suspected cardiomyopathy between October 2018 and February 2020. Measurements of maximum pectoralis major thickness were performed by two experienced radiologists using axial images at the level of the carina.

View Article and Find Full Text PDF

Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution.

Radiology

November 2024

From the Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (K.H., A. Kirpalani, B.E.W., J.A., H.S., A. Kielar, M.P.); Joint Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital, University Health Network and Sinai Health System, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2 (K.H., H.P., H.S., A. Kielar, M.P.); Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada (O.T.); Department of Medical Imaging, St Michael's Hospital, Toronto, Ontario, Canada (A. Kirpalani); Department of Diagnostic and Interventional Radiology, The Hospital for Sick Children, Toronto, Ontario, Canada (B.E.W., J.A.); Departments of Environmental Health (S.D.) and Biostatistics (R.C.N.), Harvard T. H. Chan School of Public Health, Boston, Mass; Department of Emergency Medicine, University Health Network, Toronto, Ontario, Canada (J.C.); and Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada (M.J.B.).

Background Climate change adversely affects human health, resulting in higher demand for health care services. However, the impact of climate-related environmental exposures on medical imaging utilization is currently unknown. Purpose To determine associations of short-term exposures to ambient heat and particulate air pollution with utilization of emergency department medical imaging.

View Article and Find Full Text PDF

Positive MRI and ISUP GG1 on initial prostate biopsy? Reassessing baseline MRI is key.

Eur Radiol

November 2024

University Medical Imaging Toronto, Joint Department of Medical Imaging - University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto, ON, Canada.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide and is the fastest growing cause of cancer death in the United States (U.S.) In the U.

View Article and Find Full Text PDF

Combination of FDG PET/CT radiomics and clinical parameters for outcome prediction in patients with non-Hodgkin's lymphoma.

Nucl Med Commun

December 2024

Department Medical Imaging, University Medical Imaging Toronto, University Health Network - Mount Sinai Hospital - Women College Hospital, University of Toronto, Toronto, Ontario, Canada.

Purpose: The purposes was to build model incorporating PET +  computed tomography (CT) radiomics features from baseline PET/CT + clinical parameters to predict outcomes in patients with non-Hodgkin lymphomas.

Methods: Cohort of 138 patients with complete clinical parameters and follow up times of 25.3 months recorded.

View Article and Find Full Text PDF