Xinxin Wang1, Ziqian Zhang1, Xueyan Zhou2, Yuning Zhang1, Jiamin Zhou1, Shuli Tang3, Yang Liu4, Yang Zhou5. 1. Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150010, Heilongjiang, China. 2. School of Technology, Harbin University, 109 Zhongxing Street, Harbin 150010, Heilongjiang, China. 3. Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150010, Heilongjiang, China. 4. Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150010, Heilongjiang, China. Electronic address: ly090516@126.com. 5. Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150010, Heilongjiang, China. Electronic address: zhouyang094@126.com.
Abstract
PURPOSE: This study was designed to preoperatively predict microvascular invasion (MVI) of solitary small hepatocellular carcinoma (sHCC) by quantitative analysis of Gd-EOB-DTPA enhanced hepatobiliary phase (HBP) magnetic resonance imaging (MRI). METHOD: Sixty-one patients, 19 with and 42 without histologically confirmed MVI following hepatic resection for solitary sHCC (≤ 3 cm), were preoperatively examined with Gd-EOB-DTPA-enhanced MRI. The regions of interest (ROIs) of the hepatic lesions were manually delineated on the maximum cross-sectional area in the HBP images and used to calculate the lesion boundary index (LBI) and marginal gray changes (MGC). Histogram analysis was performed to measure standard deviations (STD) and coefficients of variation (CV). Correlations between quantitative parameters and MVI were evaluated and differences between MVI positive and negative groups were assessed. RESULTS: The average LBI (0.85 ± 0.07) and MGC (0.48 ± 0.27) values of the negative group were significantly higher (p < 0.05) than the corresponding LBI (0.72 ± 0.07) and MGC (0.28 ± 0.18) values of the positive group. STDs and CVs in the negative group were significantly smaller (p < 0.05) than those of the positive group. Receiver operating characteristic (ROC) analysis revealed that LBI had the best predictive value with an AUC, sensitivity, and specificity of 0.91, 87 %, and 80 %, respectively. CONCLUSIONS: Quantitative analysis of HBP images is useful for predicting MVI and beneficial to clinicians in making decisions before treatment.
PURPOSE: This study was designed to preoperatively predict microvascular invasion (MVI) of solitary small hepatocellular carcinoma (sHCC) by quantitative analysis of Gd-EOB-DTPA enhanced hepatobiliary phase (HBP) magnetic resonance imaging (MRI). METHOD: Sixty-one patients, 19 with and 42 without histologically confirmed MVI following hepatic resection for solitary sHCC (≤ 3 cm), were preoperatively examined with Gd-EOB-DTPA-enhanced MRI. The regions of interest (ROIs) of the hepatic lesions were manually delineated on the maximum cross-sectional area in the HBP images and used to calculate the lesion boundary index (LBI) and marginal gray changes (MGC). Histogram analysis was performed to measure standard deviations (STD) and coefficients of variation (CV). Correlations between quantitative parameters and MVI were evaluated and differences between MVI positive and negative groups were assessed. RESULTS: The average LBI (0.85 ± 0.07) and MGC (0.48 ± 0.27) values of the negative group were significantly higher (p < 0.05) than the corresponding LBI (0.72 ± 0.07) and MGC (0.28 ± 0.18) values of the positive group. STDs and CVs in the negative group were significantly smaller (p < 0.05) than those of the positive group. Receiver operating characteristic (ROC) analysis revealed that LBI had the best predictive value with an AUC, sensitivity, and specificity of 0.91, 87 %, and 80 %, respectively. CONCLUSIONS: Quantitative analysis of HBP images is useful for predicting MVI and beneficial to clinicians in making decisions before treatment.