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Quantitative analysis of microcirculation in renal solid lesions with gamma curve fitting technique of contrast-enhanced ultrasound / 上海第二医科大学学报
Article en Zh | WPRIM | ID: wpr-640976
Biblioteca responsable: WPRO
ABSTRACT
Objective To evaluate the role of gamma curve fitting technique of contrast-enhanced ultrasound in quantitative analysis of microcirculation in renal solid lesions. Methods A total of fifty patients with renal parenchyma solid lesions were performed contrast-enhanced ultrasound. The images were analysed by computer with gamma fitting analysis of contrast-enhanced ultrasonic system. The quantitative parameters were obtained by the time-intensity curves, such as ascending slope (a3), descending slope (a2), arrival time (AT), time to peak intensity (TTP), basic intensity (BI), peak intensity, amplification (AMP), area under the curve (AUC), mean transit time (MTT) and perfusion index (PI). The parameters were compared between renal malignant and benign solid lesions. Results Fast-in and fast-out was the main perfusion mode in renal malignant tumors while slow-in and slow-out was found in renal angiomyolipoma (AML). The perfusion modes in renal malignant tumors and renal AML were fast-in and fast-out in 28 cases and 0 case, fast-in and slow-out in 4 cases and 1 case, slow-in and fast-out in 5 cases and 1 case, and slow-in and slow-out in 1 case and 10 cases, respectively. There were significant differences in the quantitative parameters such as a2, AUC and PI between renal malignant tumors and renal AML obtained by the time-intensity curves (P<0.05). Conclusion Gamma fitting analysis of contrast-enhanced ultrasound system can provide quantitative information of microcirculation of renal tumors, which helps to differentiate benign renal tumors from malignant ones.
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Texto completo: 1 Índice: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Journal of Shanghai Jiaotong University(Medical Science) Año: 2009 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Journal of Shanghai Jiaotong University(Medical Science) Año: 2009 Tipo del documento: Article