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• W2029129768 abstract "The goals of this study were to compare the early diagnostic utility of Alzheimer disease biomarkers in the CSF with those in brain MRI in conditions found in our clinical practice, and to ascertain the diagnostic accuracy of both techniques used together. Between 2008 and 2009, we included 30 patients with mild cognitive impairment (MCI) who were examined using 1.5 Tesla brain MRI and AD biomarker analysis in CSF. MRI studies were evaluated by 2 radiologists according to the Korf's visual scale. CSF biomarkers were analysed using INNOTEST reagents for Aβ1–42, total-tau and phospho-tau181p. We evaluated clinical changes 2 years after inclusion. By 2 years after inclusion, 15 of the original 30 patients (50%) had developed AD (NINCDS-ADRA criteria). The predictive utility of AD biomarkers in CSF (RR 2.7; 95% CI, 1.1–6.7; P < .01) was greater than that of MRI (RR 1.5; 95% CI 95%, 0.7–3.4; P < .2); using both techniques together yielded sensitivity and a negative predictive value of 100%. Normal results on both complementary tests ruled out progression to AD (100%) within 2 years of inclusion. Our results show that the diagnostic accuracy of biomarkers in CSF is higher than that of biomarkers in MRI. Combined use of both techniques is highly accurate for either early diagnosis or exclusion of AD in patients with MCI. Nuestros objetivos fueron comparar la capacidad de diagnóstico precoz de los biomarcadores (BMC) de enfermedad de Alzheimer (EA) en LCR y RM cerebral, en condiciones posibles de nuestra práctica clínica y, además, conocer la precisión diagnóstica de la combinación de ambas técnicas. Entre 2008 y 2009, estudiamos a 30 pacientes con deterioro cognitivo leve (DCL) mediante RM cerebral de 1.5 teslas y análisis de BMC de EA en el LCR. Las RM fueron valoradas por 2 neurorradiólogos, atendiendo a la escala visual de Korf (2004). Los BMC de EA en LCR se analizaron mediante reactivos INNOTEST para proteínas Aβ1-42, total-tau y fosfo-tau. Se evaluó la evolución clínica (según criterios NINCDS-ADRDA) a los 2 años tras la inclusión. Entre los 30 pacientes iniciales, 15 evolucionaron a EA (criterios NINCDS-ADRDA) a los 2 años de la inclusión. La capacidad predictiva de los BMC en LCR (RR 2,7; IC del 95%, 1.1-6,7; p<0,01) es superior a los de RM (RR 1,5; IC del 95%, 0,7-3,4; p<0,2), y la combinación de ambas técnicas alcanza una sensibilidad y valor predictivo negativo del 100%. La normalidad de ambas pruebas complementarias descartó al 100% el desarrollo de EA, en los 2 años siguientes a la realización de las mismas. Siguiendo nuestra metodología, la precisión diagnóstica de los BMC en LCR es superior a los de la RM para el diagnóstico precoz de EA. La combinación de ambas técnicas consigue una precisión diagnóstica muy alta, tanto para diagnosticar como para excluir precozmente EA, en pacientes con DCL." @default.
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• W2029129768 date "2014-09-01" @default.
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• W2029129768 title "A comparison of early diagnostic utility of Alzheimer disease biomarkers in magnetic resonance and cerebrospinal fluid" @default.
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• W2029129768 doi "https://doi.org/10.1016/j.nrleng.2013.06.008" @default.
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