Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection.
Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection.
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脾脏放射组学特征：预测肝细胞癌切除后早期和晚期复发的潜在生物标志物
DOI：
10.3389/fonc.2021.716849
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发表时间：
2021
影响因子：
4.7
通讯作者：
Liang C
中科院分区：
文献类型：
--
作者：
Li P;Wu L;Li Z;Li J;Ye W;Shi Z;Xu Z;Zhu C;Ye H;Liu Z;Liang C
探讨基于对比增强计算机断层扫描（CECT）的脾脏放射组学特征在预测肝细胞癌（HCC）治愈性切除后早期和晚期复发中的价值。本回顾性研究包括237例2006年1月至2016年1月期间接受CECT和根治性切除的HCC患者。从CECT图像中提取放射组学特征，构建脾脏放射组学特征和肿瘤放射组学特征。采用Cox回归分析确定早期和晚期复发的独立危险因素。然后，建立多个模型来预测肝癌切除术后无复发生存，并评估和验证放射组学特征对临床病理模型的增量价值。Kaplan-Meier生存分析用于评估模型与RFS的相关性。脾放射组学特征是HCC早期复发的独立危险因素。综合微血管侵袭、肿瘤放射组学特征和脾脏放射组学特征预测早期复发的混合模型在初级队列中c指数最高，为0.780 (95% CI: 0.728,0.831)，在验证队列中c指数最高，为0.776 (95% CI: 0.716,0.836)，预测效果优于临床病理模型和联合模型。在晚期复发的分析中，脾脏放射组学特征是唯一与HCC晚期复发相关的预后因素。脾脏放射组学特征是HCC患者术后早期和晚期复发的预后因素，提高了早期复发模型的预测性能。
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. 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. 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. 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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