Microvascular invasion in small hepatocellular carcinoma: Is it predictable with preoperative diffusion‐weighted imaging?

• DOI: 10.1111/jgh.12358
• Publication Date: 2013-08-22T10:36:43Z
• Authors: Pengju Xu; Mengsu Zeng; Kai Liu; Yan Shan; Chen Xu; Jiang Lin
• Keywords: Univariate analysis

Abstract Background and Aim The presence of microvascular invasion ( MVI ) is an independent risk factor affecting recurrence‐free survival following surgical treatment for small hepatocellular carcinoma HCC ). Our aim in this study was to investigate whether diffusion‐weighted imaging DWI could be useful predicting . Methods Breath‐hold (b‐value 0, 500 s/mm 2 gadopentate dimeglumine‐enhanced dynamic preoperative magnetic resonance 109 surgically proven HCCs from 92 patients were retrospectively analyzed. signal intensity ratio on apparent diffusion coefficients ADCs lesions quantitatively measured. Signal ADC , tumor size, shape, capsule, peritumoral enhancement arterial phase images, pattern analyzed as radiological parameters reflecting compared with histopathological references. chi‐square test, F isher's exact M ann– W hitney U the t ‐test used univariate analysis. To identify predictors among these evaluate their diagnostic performance, multivariate logistic regression analysis receiver operating characteristic curve performed, respectively. Results A showed that a lower value P = 0.005) irregular circumferential 0.020) statistically significant associations multiple With cut‐off 1.227 × 10 −3 mm /s, provided sensitivity 66.7% specificity 78.6% prediction odds 7.63 < 0.01). Conclusions Lower values (< /s) b‐value 0.500 can predictor