Artificial Intelligence to Reduce or Eliminate the Need for Gadolinium-Based Contrast Agents in Brain and Cardiac MRI
Investigative Radiology, vol. 58, pp. 746–753
Abstract
ABSTRACT: Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide important clinical information and can be performed without or with gadolinium-based contrast agents (GBCAs), depending on the clinical indication. It is currently a topic of debate whether it would be feasible to extract information such as standard gadolinium-enhanced MRI while injecting either less or no GBCAs. Artificial intelligence (AI) is a great source of innovation in medical imaging and has been explored as a method to synthesize virtual contrast MR images, potentially yielding similar diagnostic performance without the need to administer GBCAs. If possible, there would be significant benefits, including reduction of costs, acquisition time, and environmental impact with respect to conventional contrast-enhanced MRI examinations. Given its promise, we believe additional research is needed to increase the evidence to make these AI solutions feasible, reliable, and robust enough to be integrated into the clinical framework. Here, we review recent AI studies aimed at reducing or replacing gadolinium in brain and cardiac imaging while maintaining diagnostic image quality.
Authors 9
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Carlo Augusto Mallio corresponding
Università Campus Bio-Medico · Campus Bio Medico University Hospital
Affiliation as printed
Carlo A. Mallio, MD, PhD, Operative Research Unit of Diagnostic Imaging, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, I-00128 Rome, Italy. E-mail: [email protected]
Fondazione Policlinico Universitario Campus Bio-Medico
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
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University of Bonn · University Hospital Bonn · German Center for Neurodegenerative Diseases
Affiliation as printed
Clinic for Diagnostic and Interventional Neuroradiology, University Clinic Bonn, and German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany
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University of Bonn · University Hospital Bonn · German Center for Neurodegenerative Diseases
Affiliation as printed
Clinic for Diagnostic and Interventional Neuroradiology, University Clinic Bonn, and German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany
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Leiden University Medical Center
Affiliation as printed
Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Leiden University Medical Center
Affiliation as printed
Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Stanford Medicine · Stanford University
Affiliation as printed
Department of Radiology, Stanford University, Stanford, CA
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The University of Western Australia · Royal Perth Hospital
Affiliation as printed
David Hartley Chair of Radiology, Royal Perth Hospital and University of Western Australia
Medical School, University of Western Australia, Perth, Western Australia, Australia
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Università Campus Bio-Medico · Campus Bio Medico University Hospital
Affiliation as printed
Fondazione Policlinico Universitario Campus Bio-Medico
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
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Carlo Cosimo Quattrocchi corresponding
University of Trento · Campus Bio Medico University Hospital
Affiliation as printed
Centre for Medical Sciences, University of Trento, Trento, Italy
Fondazione Policlinico Universitario Campus Bio-Medico
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