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J Comput Assist Tomogr ; 33(2): 204-10, 2009.
Artigo em Inglês | MEDLINE | ID: mdl-19346846

RESUMO

OBJECTIVE: : Because most contemporary workstations offer quantitative analysis of regional function by multidetector computed tomography, we aimed to establish typical values for normal, hypokinetic, and akinetic regions, and to establish optimal thresholds to differentiate between normal and abnormal values. METHODS: : For 33 patients, quantitative regional functional parameters were compared with visual analysis by both multidetector computed tomography and echocardiography. Normal values were established to normalize for segmental variability. Optimal thresholds were established to differentiate between normal and abnormal segments by receiver operating characteristic analysis. RESULTS: : Akinetic, hypokinetic, and normokinetic segments demonstrated significant differences (P < 0.0001) for end-systolic thickness (mean [95% confidence interval], 9.4 [4.5-14.3], 11.7 [7.2-16.2], and 14.3 mm [8.2-20.3 mm]), respectively; thickening, 24% [-22% to 71%], 45% [-16% to 106%], and 82% [10%-154%]), respectively; and motion, 3.5 [-2.0 to 8.9], 6.1 [-0.2 to 12.4], and 8.5 mm [1.8-15.3 mm], respectively). Thickening performed best with area under the curve of 0.87 and sensitivity equal to specificity of 82%. Intraobserver variability was good, but interobserver variability was only moderate. CONCLUSIONS: : Quantification of regional myocardial function can be performed to assist the physician in mapping left ventricular function.


Assuntos
Tomografia Computadorizada por Raios X/métodos , Disfunção Ventricular Esquerda/diagnóstico por imagem , Função Ventricular Esquerda , Análise de Variância , Mapeamento Potencial de Superfície Corporal/métodos , Endocárdio/diagnóstico por imagem , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Variações Dependentes do Observador , Pericárdio/diagnóstico por imagem , Curva ROC , Interpretação de Imagem Radiográfica Assistida por Computador , Valores de Referência , Sensibilidade e Especificidade , Software , Tomografia Computadorizada por Raios X/estatística & dados numéricos
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