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Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

Title
 Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection 
Authors
 Chansik An ; Dong Wook Kim ; Myeong-Jin Kim ; Hyungjin Rhee ; Yong Eun Chung ; Young-Nyun Park 
Issue Date
2015
Journal Title
 Radiology 
ISSN
 0033-8419 
Citation
 Radiology, Vol.276(2) : 433~443, 2015 
Abstract
PURPOSE: To identify magnetic resonance (MR) imaging features that enable prediction of early recurrence (<2 years) after curative resection of hepatocellular carcinoma (HCC) and to derive a preoperative prediction model. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board. The requirement to obtain written informed consent was waived. A total of 268 patients who underwent hepatic resection for a single HCC from January 2008 to August 2011 were divided into two cohorts: a training cohort, which was used to derive a prediction model (n = 187), and a validation cohort (n = 81). All MR images from the training cohort were reviewed by two radiologists. A prediction model was constructed by using MR imaging features that were independently associated with early recurrence with use of multiple logistic regression analysis. The performance of the prediction model in the validation cohort was evaluated with respect to discrimination (ie, whether the relative ranking of individual predictions of subsequent early recurrence is in the correct order). RESULTS: In the training cohort, four MR imaging features were independently associated with early recurrence: rim enhancement (odds ratio [OR] = 3.83; 95% confidence interval [CI]: 1.39, 10.52), peritumoral parenchymal enhancement in the arterial phase (OR = 2.64; 95% CI: 1.27, 5.46), satellite nodule (OR = 4.07; 95% CI: 1.09, 15.21), and tumor size (OR = 1.66; 95% CI: 1.31, 2.09). A prediction model derived from these variables showed an area under the receiver operating characteristic curve (AUC) of 0.788 in the prediction of the risk of early recurrence in the training cohort. When applied to the validation cohort, this model showed good discrimination (AUC, 0.783). CONCLUSION: The prediction model derived from rim enhancement, peritumoral parenchymal enhancement, satellite nodule, and tumor size can be used preoperatively to estimate the risk of early recurrence after resection of a single HCC.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/141681
DOI
10.1148/radiol.15142394
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Pathology
1. 연구논문 > 1. College of Medicine > Dept. of Radiology
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Link
 http://pubs.rsna.org/doi/abs/10.1148/radiol.15142394
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