Development and validation of a prognostic model for patients with hepatocellular carcinoma undergoing radiofrequency ablation

Chang Gon Kim, Hyun Woong Lee, Hye Jin Choi, Jung Il Lee, Hye Won Lee, Seung Up Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Kwang Hyub Han, Han Sang Kim, Kyung Hwan Kim, Seong Jin Choi, Yongun Kim, Kwan Sik Lee, Gyoung Min Kim, Man Deuk Kim, Jong Yoon Won, Do Yun Lee, Beom Kyung Kim

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Background: There are large variations in prognosis among hepatocellular carcinoma (HCC) patients undergoing radiofrequency ablation (RFA). However, current staging or scoring systems hardly discriminate the outcome of HCC patients treated with RFA. Methods: A total of 757 treatment-naïve HCC patients undergoing RFA (derivation cohort) were analyzed to establish a nomogram for disease-free survival (DFS) based on Cox proportional hazard regression model. Accuracy of the nomogram was assessed and compared with conventional staging or scoring systems. Furthermore, external validation was performed in an independent cohort including 208 patients (validation cohort). Results: Tumor size, tumor number, alpha-fetoprotein, prothrombin induced by vitamin K absence-II, lymphocyte count, albumin, and presence of ascites were adopted to construct the prognostic nomogram from the derivation cohort. Calibration curves to predict probability of DFS at 3 and 5 years after RFA showed good agreements between the nomogram and actual observations. The concordance index of the present nomogram was 0.759 (95% confidence interval 0.728-0.790), which was superior to those of conventional staging or scoring systems (range 0.505-0.683, all P <.001). These results were also reproduced in the validation cohort. Conclusion: Our simple-to-use nomogram optimized for treatment-naïve HCC patients undergoing RFA provided better prognostic performance than conventional staging or scoring systems.

Original languageEnglish
Pages (from-to)5023-5032
Number of pages10
JournalCancer medicine
Volume8
Issue number11
DOIs
Publication statusPublished - 2019 Sept 1

Bibliographical note

Publisher Copyright:
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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