Lactate detection by MRS in mitochondrial encephalopathy: Optimization of technical parameters

Lactate detection by MRS in mitochondrial encephalopathy: Optimization of technical parameters

Author Rocha, Antonio Jose da Google Scholar
Braga, Flavio Tulio Google Scholar
Maia Junior, Antonio Carlos Martins Autor UNIFESP Google Scholar
Silva, Carlos Jorge da Google Scholar
Toyama, Carlos Google Scholar
Pinto Gama, Hugo Pereira Google Scholar
Kok, Fernando Autor UNIFESP Google Scholar
Gomes, Helio Rodrigues Autor UNIFESP Google Scholar
Institution Universidade de São Paulo (USP)
Universidade Federal de São Paulo (UNIFESP)
Fleury Diagnost Ctr
Abstract Mitochondriopathies are a heterogeneous group of diseases with variable phenotypic presentation, which can range from subclinical to lethal forms. They are related either to DNA mutations or nuclear-encoded mitochondrial genes that affect the integrity and function of these organelles, compromising adenosine triphosphate (ATP) synthesis. Magnetic resonance (MR) is the most important imaging technique to detect structural and metabolic brain abnormalities in mitochondriopathies, although in some cases these studies may present normal results, or the identified brain abnormalities may be nonspecific. Magnetic resonance spectroscopy (MRS) enables the detection of high cerebral lactate levels, even when the brain has normal appearance by conventional MR scans. MRS is a useful tool for the diagnosis of mitochondriopathies, but must be correlated with clinical, neurophysiological, biochemical, histological, and molecular data to corroborate the diagnosis. Our aim is to clarify the most relevant issues related to the use of MRS in order to optimize its technical parameters, improving its use in the diagnosis of mitochondriopathies, which is often a challenge.
Keywords mitochondrial disorders
magnetic resonance spectroscopy
Language English
Date 2008-01-01
Published in Journal of Neuroimaging. Oxford: Blackwell Publishing, v. 18, n. 1, p. 1-8, 2008.
ISSN 1051-2284 (Sherpa/Romeo, impact factor)
Publisher Blackwell Publishing
Extent 1-8
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000252209600001

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