4.6 Article

Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection

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FRONTIERS IN ONCOLOGY
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2021.716849

关键词

recurrence; spleen; radiomics; hepatocellular carcinoma; computed tomography

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资金

  1. National Key Research and Development Program of China [2017YFC1309100]
  2. National Science Fund for Distinguished Young Scholars [81925023]
  3. National Natural Science Foundation of China [82071892]
  4. National Science Foundation for Young Scientists of China [81701662, 82001986]
  5. China Postdoctoral Science Foundation [2020M682643]

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The study explored the usefulness of spleen radiomics features on predicting early and late recurrences of HCC patients after curative resection. The spleen radiomics signature was identified as an independent risk factor for early recurrence and the mixed model integrating various factors showed improved predictive performance. In late recurrence analysis, the spleen radiomics signature was found to be the only prognostic factor associated with late recurrence of HCC.
Objectives To explore the usefulness of spleen radiomics features based on contrast-enhanced computed tomography (CECT) in predicting early and late recurrences of hepatocellular carcinoma (HCC) patients after curative resection. Methods This retrospective study included 237 HCC patients who underwent CECT and curative resection between January 2006 to January 2016. Radiomic features were extracted from CECT images, and then the spleen radiomics signatures and the tumor radiomics signatures were built. Cox regression analysis was performed to identify the independent risk factors of early and late recurrences. Then, multiple models were built to predict the recurrence-free survival of HCC after resection, and the incremental value of the radiomics signature to the clinicopathologic model was assessed and validated. Kaplan-Meier survival analysis was used to assess the association of the models with RFS. Results The spleen radiomics signature was independent risk factor of early recurrence of HCC. The mixed model that integrated microvascular invasion, tumor radiomics signature and spleen radiomics signature for the prediction of early recurrence achieved the highest C-index of 0.780 (95% CI: 0.728,0.831) in the primary cohort and 0.776 (95% CI: 0.716,0.836) in the validation cohort, and presented better predictive performance than clinicopathological model and combined model. In the analysis of late recurrence, the spleen radiomics signature was the only prognostic factor associated with late recurrence of HCC. Conclusions The identified spleen radiomics signatures are prognostic factors of both early and late recurrences of HCC patients after surgery and improve the predictive performance of model for early recurrence.

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