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残余肝脏对比增强图像上的放射组学特征可预测肝癌肝部分切除术后的预后。

Radiomic features on contrast-enhanced images of the remnant liver predict the prognosis of hepatocellular carcinoma after partial hepatectomy.

作者信息

Wu Meilong, Liu Liping, Wang Xiaojuan, Xiao Ying, Yang Shizhong, Dong Jiahong

机构信息

Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, Shenzhen People's Hospital, Shenzhen 518020, China.

The Second Clinical Medical College, Jinan University, Shenzhen 518020, China.

出版信息

ILIVER. 2024 Feb 6;3(1):100079. doi: 10.1016/j.iliver.2024.100079. eCollection 2024 Mar.

DOI:10.1016/j.iliver.2024.100079
PMID:40636723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12212709/
Abstract

BACKGROUND AND AIMS

Radiomic features extracted from preoperative contrast-enhanced computed tomography (CT) images have been shown to predict the prognosis of hepatocellular carcinoma (HCC). However, the prognostic role of radiomic features obtained from postoperative contrast-enhanced CT images of the remnant liver remains unclear. This study explored the prognostic value of radiomic features extracted from postoperative contrast-enhanced CT images in patients with HCC.

METHODS

Robust radiomic features were obtained from postoperative contrast-enhanced CT images for 78 patients with primary HCC and used to construct a radiomics score. A clinical model and a combined model that integrated clinicopathological indicators and the radiomics score were established. The predictive performance of the model was assessed using the concordance index and net reclassification index.

RESULTS

The postoperative radiomics score for the remnant liver was an independent prognostic factor for disease-free survival (DFS) and overall survival (OS). The combined model was not inferior to the clinical model in predicting DFS but was superior in predicting OS. The net reclassification index confirmed that the combined model was more accurate and efficient in predicting OS and DFS. The radiomics score for DFS was significantly associated with tumor thrombus in the portal vein and the postoperative neutrophil-lymphocyte ratio. The radiomics score for OS was associated with multiple tumors, microvascular invasion, and tumor thrombus in the portal vein.

CONCLUSION

Postoperative contrast-enhanced CT radiomic features of the remnant liver were valuable prognostic indicators that could potentially reflect tumor burden and postoperative inflammatory status and provide more information for clinical decision-making.

摘要

背景与目的

术前对比增强计算机断层扫描(CT)图像提取的放射组学特征已被证明可预测肝细胞癌(HCC)的预后。然而,从肝切除术后残余肝脏的对比增强CT图像中获得的放射组学特征的预后作用仍不清楚。本研究探讨了从HCC患者术后对比增强CT图像中提取的放射组学特征的预后价值。

方法

从78例原发性HCC患者的术后对比增强CT图像中获得稳健的放射组学特征,并用于构建放射组学评分。建立了整合临床病理指标和放射组学评分的临床模型和联合模型。使用一致性指数和净重新分类指数评估模型的预测性能。

结果

残余肝脏的术后放射组学评分是无病生存期(DFS)和总生存期(OS)的独立预后因素。联合模型在预测DFS方面不劣于临床模型,但在预测OS方面更优。净重新分类指数证实联合模型在预测OS和DFS方面更准确、高效。DFS的放射组学评分与门静脉肿瘤血栓及术后中性粒细胞与淋巴细胞比值显著相关。OS的放射组学评分与多发肿瘤、微血管侵犯和门静脉肿瘤血栓相关。

结论

残余肝脏的术后对比增强CT放射组学特征是有价值的预后指标,可能反映肿瘤负荷和术后炎症状态,并为临床决策提供更多信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/ed6c9c480625/gr9a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/0aedc7703c13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/0f3d2bdc1546/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/08d481d22c2f/gr7a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/208a1ea8a063/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/ed6c9c480625/gr9a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/acf52428e3c7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/a4052ec68b86/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/19dfc0c2cdda/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/37e8ebb0ce95/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/0aedc7703c13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/0f3d2bdc1546/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/08d481d22c2f/gr7a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/208a1ea8a063/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c0/12212709/ed6c9c480625/gr9a.jpg

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本文引用的文献

1
From imaging to clinical outcome: dual-region CT radiomics predicting FOXM1 expression and prognosis in hepatocellular carcinoma.从影像学到临床结果:双区域CT影像组学预测肝细胞癌中FOXM1表达及预后
Front Oncol. 2023 Sep 28;13:1278467. doi: 10.3389/fonc.2023.1278467. eCollection 2023.
2
Radiomics in the diagnosis and treatment of hepatocellular carcinoma.放射组学在肝细胞癌的诊断和治疗中的应用。
Hepatobiliary Pancreat Dis Int. 2023 Aug;22(4):346-351. doi: 10.1016/j.hbpd.2023.03.010. Epub 2023 Mar 25.
3
NAFLD and HBV interplay - related mechanisms underlying liver disease progression.
非酒精性脂肪性肝病与乙型肝炎病毒相互作用:疾病进展相关的肝脏发病机制。
Front Immunol. 2022 Dec 5;13:965548. doi: 10.3389/fimmu.2022.965548. eCollection 2022.
4
Longitudinal changes in fibrosis markers are associated with risk of cirrhosis and hepatocellular carcinoma in non-alcoholic fatty liver disease.纤维化标志物的纵向变化与非酒精性脂肪性肝病患者发生肝硬化和肝细胞癌的风险相关。
J Hepatol. 2023 Mar;78(3):493-500. doi: 10.1016/j.jhep.2022.10.035. Epub 2022 Nov 17.
5
Baseline HBV-DNA load plus AST/ALT ratio predicts prognosis of HBV-related hepatocellular carcinoma after hepatectomy: A multicentre study.基线 HBV-DNA 载量联合 AST/ALT 比值可预测肝癌切除术后 HBV 相关肝细胞癌的预后:一项多中心研究。
J Viral Hepat. 2021 Nov;28(11):1587-1596. doi: 10.1111/jvh.13606. Epub 2021 Sep 18.
6
A review in radiomics: Making personalized medicine a reality via routine imaging.放射组学综述:通过常规成像实现个体化医疗。
Med Res Rev. 2022 Jan;42(1):426-440. doi: 10.1002/med.21846. Epub 2021 Jul 26.
7
Combining Preoperative and Postoperative Inflammatory Indicators Can Better Predict the Recurrence of Hepatocellular Carcinoma After Partial Hepatectomy.联合术前和术后炎症指标能更好地预测肝癌部分肝切除术后的复发情况。
J Inflamm Res. 2021 Jul 13;14:3231-3245. doi: 10.2147/JIR.S316177. eCollection 2021.
8
Prognostic value of the postoperative neutrophil-lymphocyte ratio in solid tumors: A meta-analysis.实体瘤术后中性粒细胞与淋巴细胞比值的预后价值:荟萃分析。
PLoS One. 2021 Apr 19;16(4):e0250091. doi: 10.1371/journal.pone.0250091. eCollection 2021.
9
Using Hepatocellular Carcinoma Tumor Burden Score to Stratify Prognosis after Liver Transplantation.使用肝细胞癌肿瘤负担评分对肝移植后的预后进行分层
Cancers (Basel). 2020 Nov 14;12(11):3372. doi: 10.3390/cancers12113372.
10
A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.基于影像组学的Nomogram 模型预测肝癌患者肝切除术后的总生存情况
Cancer Imaging. 2020 Nov 16;20(1):82. doi: 10.1186/s40644-020-00360-9.