本研究旨在评估基线计算机断层扫描（CT）数据对门静脉栓塞（PVE）后未来残存肝（FRL）肥大的预测价值。采用回顾性研究设计，纳入了2018年至2021年间接受右侧PVE的所有连续病人，包括有或没有肝静脉栓塞。在PVE前后进行CT容积测量，评估标准化FRL体积（sFRLV）。对肝脏（无肿瘤）、脾脏和骨髓进行段分割，并从基线CT中提取放射组学特征。通过步骤递减降维进行特征选择，选取可用于分类反应（肥大≥1.33）的特征。拟合逻辑回归模型，并检测选中特征的预测价值。对测试数据集进行决策曲线分析。该研究纳入了53例肝肿瘤患者。PVE后sFRLV显著增加，平均FRL肥大倍数为1.5±0.3。35例（66%）患者达到sFRLV肥大≥1.33。三个独立的放射组学特征，即与肝脏、脾脏和骨髓相关的特征，能够很好地区分反应者和非反应者。逻辑回归模型显示出最高的准确度（曲线下面积为0.875），对反应的预测具有敏感性1.0和特异性0.5。决策曲线分析显示，在应用该模型时存在正向净益。这个概念验证研究首次提供了基线多器官放射组学CT数据对PVE后FRL肥大的潜在预测价值的证据。© 2023年，作者（们）。

Portal vein embolization (PVE) is used to induce remnant liver hypertrophy prior to major hepatectomy. The purpose of this study was to evaluate the predictive value of baseline computed tomography (CT) data for future remnant liver (FRL) hypertrophy after PVE.In this retrospective study, all consecutive patients undergoing right-sided PVE with or without hepatic vein embolization between 2018 and 2021 were included. CT volumetry was performed before and after PVE to assess standardized FRL volume (sFRLV). Radiomic features were extracted from baseline CT after segmenting liver (without tumor), spleen and bone marrow. For selecting features that allow classification of response (hypertrophy ≥ 1.33), a stepwise dimension reduction was performed. Logistic regression models were fitted and selected features were tested for their predictive value. Decision curve analysis was performed on the test dataset.A total of 53 patients with liver tumor were included in this study. sFRLV increased significantly after PVE, with a mean hypertrophy of FRL of 1.5 ± 0.3-fold. sFRLV hypertrophy ≥ 1.33 was reached in 35 (66%) patients. Three independent radiomic features, i.e. liver-, spleen- and bone marrow-associated, differentiated well between responders and non-responders. A logistic regression model revealed the highest accuracy (area under the curve 0.875) for the prediction of response, with sensitivity of 1.0 and specificity of 0.5. Decision curve analysis revealed a positive net benefit when applying the model.This proof-of-concept study provides first evidence of a potential predictive value of baseline multi-organ radiomics CT data for FRL hypertrophy after PVE.© 2023. The Author(s).