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ID 118558
Author
Waki, Yuhei Tokushima University
Nakasu, Chiharu Tokushima University
Keywords
Magnetic resonance imaging
Apparent diffusion coefficient
Hepatocellular carcinoma
Prognostic prediction
Content Type
Journal Article
Description
Background: We investigated the usefulness of apparent diffusion coefficients (ADC) from diffusion-weighted images (DWI) obtained using magnetic resonance imaging (MRI) for prognosis of early hepatocellular carcinoma (HCC): Barcelona Clinic Liver Cancer (BCLC) stage 0 and A.
Methods: We enrolled 102 patients who had undergone surgical resection for early HCC: BCLC stage 0 and A, and calculated their minimum ADC using DWI-MRI. We divided patients into ADCHigh (n = 72) and ADCLow (n = 30) groups, and compared clinicopathological factors between the two groups.
Results: The ADCLow group showed higher protein induced by vitamin K absence-II (PIVKA-II) levels (p = 0.02) compared with the ADCHigh group. In overall survival, the ADCLow group showed significantly worse prognosis than the ADCHigh group (p < 0.01). Univariate analysis identified multiple tumors, infiltrative growth, high PIVKA-II, and low ADC value as prognostic factors. Multivariate analysis identified infiltrative growth and low ADC value as an independent prognostic factor.
Conclusion: ADC values can be used to estimate the prognosis of early HCC.
Journal Title
BMC Surgery
ISSN
14712482
NCID
AA1203545X
Publisher
BioMed Central|Springer Nature
Volume
23
Start Page
6
Published Date
2023-01-11
Rights
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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language
eng
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departments
University Hospital
Medical Sciences