Cassandra Céré, Valentina Curcio, Hugo Dorez, Maud Debreuque, Florence Franconi, David Rousseau
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Quantitative MRI for brain lesion diagnosis in dogs and cats: A comprehensive overview.
MRI is widely used for the detection and characterization of brain lesions. There is a growing interest in the potential benefits of quantitative MRI (qMRI) in veterinary brain lesion diagnosis. Yet, the use of data processing tools in the veterinary field is not as democratized as for the diagnosis of human brain pathologies. Several reviews have addressed the characterization of brain lesions in cats and dogs. None of them is specifically focused on quantitative MRI data processing techniques for the diagnosis of brain lesions in the veterinary field. This paper aims to provide an overview of the evolution of qMRI on cats and dogs both in the clinical and preclinical fields. We analyze the achievements in the field as well as the remaining challenges in the diffusion of data processing tools for veterinary brain lesions characterization.
期刊介绍：
Veterinary Radiology & Ultrasound is a bimonthly, international, peer-reviewed, research journal devoted to the fields of veterinary diagnostic imaging and radiation oncology. Established in 1958, it is owned by the American College of Veterinary Radiology and is also the official journal for six affiliate veterinary organizations. Veterinary Radiology & Ultrasound is represented on the International Committee of Medical Journal Editors, World Association of Medical Editors, and Committee on Publication Ethics.
The mission of Veterinary Radiology & Ultrasound is to serve as a leading resource for high quality articles that advance scientific knowledge and standards of clinical practice in the areas of veterinary diagnostic radiology, computed tomography, magnetic resonance imaging, ultrasonography, nuclear imaging, radiation oncology, and interventional radiology. Manuscript types include original investigations, imaging diagnosis reports, review articles, editorials and letters to the Editor. Acceptance criteria include originality, significance, quality, reader interest, composition and adherence to author guidelines.
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