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

Pinxiong Li; Lei Wu; Zhenhui Li; Jiao Li; Weitao Ye; Zhenwei Shi; Zeyan Xu; Chao Zhu; Huifen Ye; Zaiyi Liu; Changhong Liang

doi:10.3389/fonc.2021.716849

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

Front Oncol. 2021 Aug 13:11:716849. doi: 10.3389/fonc.2021.716849. eCollection 2021.

Authors

Pinxiong Li^{1

2

3}, Lei Wu², Zhenhui Li⁴, Jiao Li², Weitao Ye², Zhenwei Shi², Zeyan Xu², Chao Zhu², Huifen Ye², Zaiyi Liu^{1

2}, Changhong Liang^{1

2}

Affiliations

¹ The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
² Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
³ Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
⁴ Department of Radiology, Yunnan Cancer Hospital, Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.

Abstract

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.

Keywords: computed tomography; hepatocellular carcinoma; radiomics; recurrence; spleen.