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Preoperative prediction of the microvascular invasion of hepatocellular carcinoma with diffusion-weighted imaging.

Authors
 Young Joo Suh  ;  Myeong-Jin Kim  ;  Jin-Young Choi  ;  Mi-Suk Park  ;  Ki Whang Kim 
Citation
 Liver Transplantation, Vol.18(10) : 1171-1178, 2012 
Journal Title
 Liver Transplantation 
ISSN
 1527-6465 
Issue Date
2012
Abstract
The aim of this study was to investigate whether diffusion-weighted imaging (DWI) could be useful in predicting the microvascular invasion (MVI) of hepatocellular carcinoma (HCC). Sixty-seven surgically proven HCCs from 65 patients (54 men and 11 women with an age range of 35-75 years and a mean age of 56.0 years) were retrospectively analyzed. The signal intensities (SIs) of the lesions on preoperative diffusion-weighted (DW) images were visually categorized as isointense or hyperintense in comparison with the adjacent liver. We also quantitatively measured SIs and apparent diffusion coefficients (ADCs) by drawing regions of interest in HCCs and livers on DW images with b values of 50, 400, and 800 second/mm(2) and on ADC map images. Logistic regression analyses were performed so that we could identify independent predictors of MVI among laboratory and DWI findings. A univariate analysis showed that a histological grade of 3, a larger tumor size, a higher SI ratio on DW images, and a lower ADC value were significantly associated with MVI. A multiple logistic regression analysis showed that a histological grade of 3 and the ADC value were independent predictors of MVI. With a cutoff of 1.11 × 10(-3) mm(2)/second, the ADC value provided a sensitivity of 93.5% and a specificity of 72.2% for the prediction of MVI with an odds ratio of 24.5 (95% confidence interval = 4.14-144.8, P < 0.001). In conclusion, lower ADC values (1.11 × 10(-3) mm(2)/second or less) can be a useful predictor of MVI during the preoperative evaluation of HCC.
Full Text
http://onlinelibrary.wiley.com/doi/10.1002/lt.23502/abstract
DOI
10.1002/lt.23502
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Ki Whang(김기황)
Kim, Myeong Jin(김명진) ORCID logo https://orcid.org/0000-0001-7949-5402
Park, Mi-Suk(박미숙) ORCID logo https://orcid.org/0000-0001-5817-2444
Suh, Young Joo(서영주) ORCID logo https://orcid.org/0000-0002-2078-5832
Choi, Jin Young(최진영) ORCID logo https://orcid.org/0000-0002-9025-6274
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/91420
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