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Int J Cardiovasc Imaging ; 23(2): 225-32, 2007 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-16871428

RESUMO

OBJECTIVE: The purpose of this study is to evaluate the accuracy of semiautomated analysis of contrast enhanced magnetic resonance angiography (MRA) in patients who have undergone standard angiographic evaluation for peripheral vascular disease (PVD). BACKGROUND: Magnetic resonance angiography is an important tool for evaluating PVD. Although this technique is both safe and noninvasive, the accuracy and reproducibility of quantitative measurements of disease severity using MRA in the clinical setting have not been fully investigated. METHODS: 43 lesions in 13 patients who underwent both MRA and digital subtraction angiography (DSA) of iliac and common femoral arteries within 6 months were analyzed using quantitative magnetic resonance angiography (QMRA) and quantitative vascular analysis (QVA). Analysis was repeated by a second operator and by the same operator in approximately 1 month time. RESULTS: QMRA underestimated percent diameter stenosis (%DS) compared to measurements made with QVA by 2.47%. Limits of agreement between the two methods were +/- 9.14%. Interobserver variability in measurements of %DS were +/- 12.58% for QMRA and +/- 10.04% for QVA. Intraobserver variability of %DS for QMRA was +/- 4.6% and for QVA was +/- 8.46%. CONCLUSIONS: QMRA displays a high level of agreement to QVA when used to determine stenosis severity in iliac and common femoral arteries. Similar levels of interobserver and intraobserver variability are present with each method. Overall, QMRA represents a useful method to quantify severity of PVD.


Assuntos
Angiografia Digital , Arteriopatias Oclusivas/patologia , Angiografia por Ressonância Magnética/métodos , Doenças Vasculares Periféricas/patologia , Algoritmos , Arteriopatias Oclusivas/diagnóstico por imagem , Constrição Patológica , Meios de Contraste , Artéria Femoral/diagnóstico por imagem , Artéria Femoral/patologia , Humanos , Artéria Ilíaca/diagnóstico por imagem , Artéria Ilíaca/patologia , Interpretação de Imagem Assistida por Computador , Imageamento Tridimensional , Modelos Lineares , Variações Dependentes do Observador , Doenças Vasculares Periféricas/diagnóstico por imagem , Valor Preditivo dos Testes , Reprodutibilidade dos Testes , Projetos de Pesquisa , Índice de Gravidade de Doença , Software
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