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3.0T MRI Multi-b-value Diffusion Weighted Imaging in the Differential Diagnosis of Female Pelvic Benign and Malignant Lesions / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 951-954, 2013.
Artigo em Chinês | WPRIM | ID: wpr-439765
ABSTRACT
Purpose To explore the diagnostic value of double exponential model for pelvic lesions using 3.0T MRI for the diagnosis of pelvic lesion. Materials and Methods Fifty patients with pelvic lesions (30 benign cases and 20 malignant cases) underwent MR750-diffusion weighted imaging (DWI) scans, with b values of 0, 50, 300, 600, 800 and 1200 s/mm2, Functool-MADC software was used on AW 451 workstations for data processing, Slow ADC value, Fast ADC value, Standard ADC value, Fraction of fast ADC value were recorded and compared between benign and malignant lesions, and Standard ADC images were fused with axial T2 fat-suppressed images. Results Slow ADC values [(1.83±0.86)×10-3 mm2/s] and Standard ADC values [(1.79±0.78)×10-3 mm2/s] of benign lesions were larger than those of the malignant lesions [Slow ADC values(1.05±0.31)×10-3 mm2/s;Standard ADC values(1.13±0.39)×10-3 mm2/s] (t=3.90, 3.51;P<0.01), and the difference of Slow ADC value was largest between benign and malignant lesions. Slow ADC values of both benign and malignant lesions were significantly less than the Fast ADC values [benignSlow ADC value=(1.83±0.86)×10-3 mm2/s, Fast ADC value=(16.95±8.63)×10-3 mm2/s; malignant Slow ADC value=(1.05±0.31)×10-3 mm2/s, Fast ADC value=(15.12±9.90)×10-3 mm2/s] (t=-10.40,-6.29;P<0.01). Conclusion Double exponential decay model is capable of differentiating benign and malignant pelvic tumors, thus is of great significance for clinical preoperative diagnosis.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico Idioma: Chinês Revista: Chinese Journal of Medical Imaging Ano de publicação: 2013 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico Idioma: Chinês Revista: Chinese Journal of Medical Imaging Ano de publicação: 2013 Tipo de documento: Artigo