Validation of pre-/post-TACE-predict models among patients with hepatocellular carcinoma receiving transarterial chemoembolization

David Sooik Kim, Beom Kyung Kim, Jae Seung Lee, Hye Won Lee, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Seung Up Kim

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This study attempted to validate the prognostic performance of the proposed Pre- and Post-TACE (transarterial chemoembolization)-Predict models, in comparison with other models for prognostication. One-hundred-and-eighty-seven patients with HCC who underwent TACE were recruited. Regarding overall survival (OS), the predictive performance of the Pre-TACE-Predict model (one-year integrated area under the curve (iAUC) 0.685 (95% confidence interval (CI) 0.593– 0.772)) was better than that of the Post-TACE-Predict model (iAUC 0.659 (95% CI 0.580–0.742)). However, there was no significant statistical difference between two models at any time point. For comparison between models using pre-treatment factors, the modified hepatoma arterial emboliza-tion prognostic (mHAP)-II model demonstrated significantly better predictive performance at one year (iAUC 0.767 (95% CI 0.683–0.847)) compared with Pre-TACE-Predict. For comparison between models using first TACE response, the SNACOR model was significantly more predictive at one year (iAUC 0.778 (95% CI 0.687–0.866) vs. 0.659 (95% CI 0.580–0.742), respectively) and three years (iAUC 0.707 (95% CI 0.646–0.770) vs. 0.624 (95% CI 0.564–0.688), respectively) than the Post-TACE- Predict model. mHAP-II and SNACOR may be preferred over the Pre- and Post-TACE-Predict mod-els, respectively, considering their similar or better performance and the ease of application.

Original languageEnglish
Article number67
Issue number1
Publication statusPublished - 2022 Jan 1

Bibliographical note

Funding Information:
Funding: This study was supported by Basic Science Research Program through the National Re‐ search Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2019R1A2C4070136). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research


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