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使用 F-FDG PET/CT 对肝细胞癌微血管侵犯的术前预测:一项多中心回顾性队列研究。

Preoperative prediction of microvascular invasion of hepatocellular carcinoma using F-FDG PET/CT: a multicenter retrospective cohort study.

机构信息

Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.

Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.

出版信息

Eur J Nucl Med Mol Imaging. 2018 May;45(5):720-726. doi: 10.1007/s00259-017-3880-4. Epub 2017 Nov 22.


DOI:10.1007/s00259-017-3880-4
PMID:29167923
Abstract

PURPOSE: The aim of this study was to assess the potential of tumor F-fluorodeoxyglucose (FDG) avidity as a preoperative imaging biomarker for the prediction of microvascular invasion (MVI) of hepatocellular carcinoma (HCC). METHODS: One hundred and fifty-eight patients diagnosed with Barcelona Clinic Liver Cancer stages 0 or A HCC (median age, 57 years; interquartile range, 50-64 years) who underwent F-FDG positron emission tomography with computed tomography (PET/CT) before curative surgery at seven university hospitals were included. Tumor FDG avidity was measured by tumor-to-normal liver standardized uptake value ratio (TLR) of the primary tumor on FDG PET/CT imaging. Logistic regression analysis was performed to identify significant parameters associated with MVI. The predictive performance of TLR and other clinical variables was assessed using receiver operating characteristic (ROC) curve analysis. RESULTS: MVI was present in 76 of 158 patients with HCCs (48.1%). Multivariable logistic regression analysis revealed that TLR, serum alpha-fetoprotein (AFP) level, and tumor size were significantly associated with the presence of MVI (P < 0.001). Multinodularity was not significantly associated with MVI (P = 0.563). The area under the ROC curve (AUC) for predicting the presence of MVI was best with TLR (AUC = 0.704), followed by tumor size (AUC = 0.685) and AFP (AUC = 0.670). We were able to build an improved prediction model combining TLR, tumor size, and AFP by using multivariable logistic regression modeling (AUC = 0.756). CONCLUSIONS: Tumor FDG avidity measured by TLR on FDG PET/CT is a preoperative imaging biomarker for the prediction of MVI in patients with HCC.

摘要

目的:本研究旨在评估肿瘤 F-氟代脱氧葡萄糖(FDG)摄取能力作为预测肝细胞癌(HCC)微血管侵犯(MVI)的术前影像学生物标志物的潜力。

方法:纳入了在七所大学医院接受根治性手术前进行 F-氟代脱氧葡萄糖正电子发射断层扫描与计算机断层扫描(PET/CT)的 158 名诊断为巴塞罗那临床肝癌 0 期或 A 期 HCC(中位年龄 57 岁;四分位距 50-64 岁)的患者。通过 FDG PET/CT 图像上原发性肿瘤的肿瘤与正常肝脏标准化摄取比值(TLR)来测量肿瘤 FDG 摄取能力。采用逻辑回归分析来确定与 MVI 相关的显著参数。使用接收者操作特征(ROC)曲线分析来评估 TLR 和其他临床变量的预测性能。

结果:158 例 HCC 患者中有 76 例(48.1%)存在 MVI。多变量逻辑回归分析显示,TLR、血清甲胎蛋白(AFP)水平和肿瘤大小与 MVI 的存在显著相关(P<0.001)。多结节性与 MVI 无显著相关性(P=0.563)。预测 MVI 存在的 ROC 曲线下面积(AUC)以 TLR 最佳(AUC=0.704),其次是肿瘤大小(AUC=0.685)和 AFP(AUC=0.670)。我们能够通过使用多变量逻辑回归建模来构建一个结合 TLR、肿瘤大小和 AFP 的改进预测模型(AUC=0.756)。

结论:TLR 测定的 FDG PET/CT 肿瘤 FDG 摄取能力是预测 HCC 患者 MVI 的术前影像学生物标志物。

相似文献

[1]
Preoperative prediction of microvascular invasion of hepatocellular carcinoma using F-FDG PET/CT: a multicenter retrospective cohort study.

Eur J Nucl Med Mol Imaging. 2017-11-22

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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Clin Nucl Med. 2017-4

[8]
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[9]
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[10]
Diagnostic test accuracies of F-18 FDG PET/CT for prediction of microvascular invasion of hepatocellular carcinoma: A meta-analysis.

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引用本文的文献

[1]
Diagnostic performance of FDG PET/CT radiomics in predicting microvascular invasion in hepatocellular carcinoma compared to conventional metabolic parameters: a systematic review and meta-analysis.

Ann Nucl Med. 2025-6-28

[2]
Chinese expert consensus on the diagnosis and treatment of hepatocellular carcinoma with microvascular invasion (2024 edition).

Hepatobiliary Surg Nutr. 2025-4-1

[3]
F-FDG PET/CT Predicts the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Liver Transplantation.

Liver Cancer. 2025-3-5

[4]
Prognostic and diagnostic value of [F]FDG, C-acetate, and [Ga]Ga-FAPI-04 PET/CT for hepatocellular carcinoma.

Eur Radiol. 2025-1-21

[5]
A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.

Diagnostics (Basel). 2024-10-8

[6]
Multi-transcriptomics analysis of microvascular invasion-related malignant cells and development of a machine learning-based prognostic model in hepatocellular carcinoma.

Front Immunol. 2024

[7]
Preoperative prediction of microvascular invasion: new insights into personalized therapy for early-stage hepatocellular carcinoma.

Quant Imaging Med Surg. 2024-7-1

[8]
The potential of F-FDG PET/CT metabolic parameter-based nomogram in predicting the microvascular invasion of hepatocellular carcinoma before liver transplantation.

Abdom Radiol (NY). 2024-5

[9]
Achievement of Complete Response and Drug-Free Status by Atezolizumab plus Bevacizumab Combined with or without Curative Conversion in Patients with Transarterial Chemoembolization-Unsuitable, Intermediate-Stage Hepatocellular Carcinoma: A Multicenter Proof-Of-Concept Study.

Liver Cancer. 2023-2-7

[10]
Head-to-head comparison of F-FAPI and F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma.

Cancer Imaging. 2023-10-30

本文引用的文献

[1]
Prediction of microvascular invasion of hepatocellular carcinoma with preoperative diffusion-weighted imaging: A comparison of mean and minimum apparent diffusion coefficient values.

Medicine (Baltimore). 2017-8

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Eur J Radiol. 2017-3

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Transl Oncol. 2016-6

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A non-smooth tumor margin on preoperative imaging predicts microvascular invasion of hepatocellular carcinoma.

Surg Today. 2016-11

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Preoperative Fluorine 18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Prediction of Microvascular Invasion in Small Hepatocellular Carcinoma.

J Comput Assist Tomogr. 2016

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Radiology. 2015-12-10

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CA Cancer J Clin. 2015-2-4

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Prediction of microvascular invasion of hepatocellular carcinoma using gadoxetic acid-enhanced MR and (18)F-FDG PET/CT.

Abdom Imaging. 2015-4

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