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Neuroradiology ; 55(6): 719-24, 2013 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-23525598

RESUMEN

INTRODUCTION: Neuromelanin-sensitive MRI has been reported to be used in the diagnosis of Parkinson's disease (PD), which results from loss of dopamine-producing cells in the substantia nigra pars compacta (SNc). In this study, we aimed to apply a 3D turbo field echo (TFE) sequence for neuromelanin-sensitive MRI and to evaluate the diagnostic performance of semi-automated method for measurement of SNc volume in patients with PD. METHODS: We examined 18 PD patients and 27 healthy volunteers (control subjects). A 3D TFE technique with off-resonance magnetization transfer pulse was used for neuromelanin-sensitive MRI on a 3T scanner. The SNc volume was semi-automatically measured using a region-growing technique at various thresholds (ranging from 1.66 to 2.48), with the signals measured relative to that for the superior cerebellar peduncle. Receiver operating characteristic (ROC) analysis was performed at all thresholds. Intra-rater reproducibility was evaluated by intraclass correlation coefficient (ICC). RESULTS: The average SNc volume in the PD group was significantly smaller than that in the control group at all the thresholds (P < 0.01, student t test). At higher thresholds (>2.0), the area under the curve of ROC (Az) increased (0.88). In addition, we observed balanced sensitivity and specificity (0.83 and 0.85, respectively). At lower thresholds, sensitivity tended to increase but specificity reduced in comparison with that at higher thresholds. ICC was larger than 0.9 when the threshold was over 1.86. CONCLUSIONS: Our method can distinguish the PD group from the control group with high sensitivity and specificity, especially for early stage of PD.


Asunto(s)
Imagenología Tridimensional/métodos , Imagen por Resonancia Magnética/métodos , Melaninas/metabolismo , Enfermedad de Parkinson/metabolismo , Enfermedad de Parkinson/patología , Sustancia Negra/metabolismo , Sustancia Negra/patología , Anciano , Biomarcadores/metabolismo , Humanos , Imagen Molecular/métodos , Tamaño de los Órganos , Reconocimiento de Normas Patrones Automatizadas/métodos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Distribución Tisular
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