CT-based detection of clinically significant portal hypertension predicts post-hepatectomy outcomes in hepatocellular carcinoma.

IF 6 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
European Radiology Pub Date : 2025-08-01 Epub Date: 2025-02-14 DOI:10.1007/s00330-025-11411-9
Subin Heo, Boryeong Jeong, Seung Soo Lee, Minju Kim, Hyeon Ji Jang, Se Jin Choi, Kang Mo Kim, Tae-Yong Ha, Dong-Hwan Jung
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引用次数: 0

Abstract

Background: While the CT-based method of detecting clinically significant portal hypertension (CSPH) emerged as a noninvasive alternative for evaluating CSPH, its predictive ability for post-hepatectomy outcomes is unknown. Therefore, this study aimed to evaluate the impact of CT-based CSPH on outcomes following hepatectomy for hepatocellular carcinoma (HCC).

Methods: This retrospective single-center study included patients with advanced chronic liver disease (ACLD) who underwent hepatectomy for very early or early-stage HCC between January 2017 and December 2018. CSPH was assessed using CT-based criteria, which included splenomegaly determined by deep learning-based spleen volume measurements with personalized reference thresholds, and the presence of gastroesophageal varices (GEV), spontaneous portosystemic shunt or ascites. Logistic regression and competing risk analyses were used to identify factors associated with severe post-hepatectomy liver failure (PHLF), hepatic decompensation, and liver-related death or transplantation. The predictive performance of existing models for PHLF was compared using both CT-based and conventional CSPH criteria (endoscopic GEV or splenomegaly with thrombocytopenia).

Results: Among 593 patients (460 men; mean age 57.9 ± 9.3 years), 41 (6.9%) developed severe PHLF. The median follow-up period was 62 months. CT-based CSPH independently predicted severe PHLF (OR 7.672 [95% CI 3.209-18.346]), hepatic decompensation (subdistribution hazard ratio (sHR) 4.518 [1.868-10.929]), and liver-related death or transplantation (sHR 2.756 [1.315-5.773]). When integrated into existing models, CT-based CSPH outperformed conventional CSPH in predicting severe PHLF (AUC 0.724 vs. 0.694 for EASL algorithm (p = 0.036) and 0.854 vs. 0.830 for Wang's model (p = 0.011)).

Conclusions: CT-based CSPH is a strong predictor of poor post-hepatectomy outcomes in HCC patients with ACLD, offering a noninvasive surgical risk assessment tool.

Key points: Question Can CT-based detection of clinically significant portal hypertension (CSPH) serve as a noninvasive predictor of post-hepatectomy outcomes in hepatocellular carcinoma (HCC) patients? Findings CT-based CSPH independently predicted severe post-hepatectomy liver failure, hepatic decompensation, and liver-related death or transplantation, outperforming conventional CSPH criteria in predictive performance. Clinical relevance CT-based CSPH offers a noninvasive and effective tool for surgical risk assessment in HCC patients, potentially improving the selection of candidates for hepatectomy and optimizing patient outcomes.

基于ct检测临床意义的门脉高压可预测肝细胞癌肝切除术后的预后。
背景:虽然基于ct的检测临床显著门脉高压(CSPH)的方法已成为评估CSPH的一种无创替代方法,但其对肝切除术后预后的预测能力尚不清楚。因此,本研究旨在评估基于ct的CSPH对肝细胞癌(HCC)肝切除术后预后的影响。方法:这项回顾性单中心研究纳入了2017年1月至2018年12月期间因极早期或早期HCC接受肝切除术的晚期慢性肝病(ACLD)患者。CSPH采用基于ct的标准进行评估,其中包括脾肿大,脾肿大由基于深度学习的脾体积测量和个性化参考阈值确定,以及胃食管静脉曲张(GEV)、自发性门系统分流或腹水的存在。采用Logistic回归和竞争风险分析来确定与肝切除术后严重肝功能衰竭(PHLF)、肝脏失代偿和肝脏相关死亡或移植相关的因素。现有模型对PHLF的预测性能采用基于ct和传统CSPH标准(内镜下GEV或脾肿大伴血小板减少)进行比较。结果:593例患者中(460例男性;平均年龄57.9±9.3岁),41例(6.9%)发生严重PHLF。中位随访期为62个月。基于ct的CSPH独立预测严重PHLF (OR 7.672 [95% CI 3.209-18.346])、肝脏失代偿(亚分布风险比(sHR) 4.518[1.868-10.929])和肝脏相关死亡或移植(sHR 2.756[1.315-5.773])。当与现有模型集成时,基于ct的CSPH在预测严重PHLF方面优于传统CSPH (EASL算法的AUC为0.724比0.694 (p = 0.036), Wang模型的AUC为0.854比0.830 (p = 0.011))。结论:基于ct的CSPH是HCC合并ACLD患者肝切除术后预后不良的有力预测指标,提供了一种无创手术风险评估工具。基于ct检测临床显著门脉高压(CSPH)能否作为肝细胞癌(HCC)患者肝切除术后预后的无创预测指标?基于ct的CSPH独立预测肝切除术后严重的肝功能衰竭、肝功能失代偿和肝脏相关死亡或移植,在预测性能方面优于传统的CSPH标准。基于ct的CSPH为HCC患者的手术风险评估提供了一种无创且有效的工具,有可能改善肝切除术候选人的选择并优化患者的预后。
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来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
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