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使用对比增强CT测量细胞外容积分数有助于鉴别肝内胆管细胞癌和肝细胞癌。

Extracellular volume fraction using contrast-enhanced CT is useful in differentiating intrahepatic cholangiocellular carcinoma from hepatocellular carcinoma.

作者信息

Honda T, Onishi H, Fukui H, Yano K, Kiso K, Nakamoto A, Tsuboyama T, Ota T, Tatsumi M, Tahara S, Kobayashi S, Eguchi H, Tomiyama N

机构信息

Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.

Department of Radiology, Osaka Medical and Pharmaceutical University, Osaka, Japan.

出版信息

Front Oncol. 2023 Jul 6;13:1214977. doi: 10.3389/fonc.2023.1214977. eCollection 2023.

DOI:10.3389/fonc.2023.1214977
PMID:37483497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10359704/
Abstract

OBJECTIVES

To evaluate whether tumor extracellular volume fraction (fECV) on contrast-enhanced computed tomography (CT) aids in the differentiation between intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC).

METHODS

In this retrospective study, 113 patients with pathologically confirmed ICC (n = 39) or HCC (n = 74) who had undergone preoperative contrast-enhanced CT were enrolled. Enhancement values of the tumor (E) and aorta (E) were obtained in the precontrast and equilibrium phase CT images. fECV was calculated using the following equation: fECV [%] = E/E × (100 - hematocrit [%]). fECV values were compared between the ICC and HCC groups using Welch's -test. The diagnostic performance of fECV for differentiating ICC and HCC was assessed using receiver-operating characteristic (ROC) analysis. fECV and the CT imaging features of tumors were evaluated by two radiologists. Multivariate logistic regression analysis was performed to identify factors predicting a diagnosis of ICC.

RESULTS

Mean fECV was significantly higher in ICCs (43.8% ± 13.2%) than that in HCCs (31.6% ± 9.0%, p < 0.001). The area under the curve for differentiating ICC from HCC was 0.763 when the cutoff value of fECV was 41.5%. The multivariate analysis identified fECV (unit OR: 1.10; 95% CI: 1.01-1.21; p < 0.05), peripheral rim enhancement during the arterial phase (OR: 17.0; 95% CI: 1.29-225; p < 0.05), and absence of washout pattern (OR: 235; 95% CI: 14.03-3933; p < 0.001) as independent CT features for differentiating between the two tumor types.

CONCLUSIONS

A high value of fECV, peripheral rim enhancement during the arterial phase, and absence of washout pattern were independent factors in the differentiation of ICC from HCC.

摘要

目的

评估对比增强计算机断层扫描(CT)上的肿瘤细胞外体积分数(fECV)是否有助于肝内胆管癌(ICC)和肝细胞癌(HCC)的鉴别诊断。

方法

在这项回顾性研究中,纳入了113例经病理证实为ICC(n = 39)或HCC(n = 74)且术前行对比增强CT检查的患者。在CT平扫和平衡期图像上获取肿瘤(E)和主动脉(E)的强化值。fECV使用以下公式计算:fECV [%] = E/E × (100 - 血细胞比容 [%])。使用Welch's t检验比较ICC组和HCC组之间的fECV值。使用受试者操作特征(ROC)分析评估fECV鉴别ICC和HCC的诊断性能。由两名放射科医生评估fECV和肿瘤的CT成像特征。进行多因素逻辑回归分析以确定预测ICC诊断的因素。

结果

ICC的平均fECV(43.8% ± 13.2%)显著高于HCC(31.6% ± 9.0%,p < 0.001)。当fECV的截断值为41.5%时,鉴别ICC与HCC的曲线下面积为0.763。多因素分析确定fECV(单位OR:1.10;95% CI:1.01 - 1.21;p < 0.05)、动脉期周边环形强化(OR:17.0;95% CI:1.29 - 225;p < 0.05)和无廓清模式(OR:235;95% CI:14.03 - 3933;p < 0.001)是鉴别这两种肿瘤类型的独立CT特征。

结论

fECV值高、动脉期周边环形强化和无廓清模式是鉴别ICC与HCC的独立因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/4059e4b24ac7/fonc-13-1214977-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/5e9e00a28ce1/fonc-13-1214977-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/981c5466d568/fonc-13-1214977-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/0093baa44bfd/fonc-13-1214977-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/c78b7d418094/fonc-13-1214977-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/e1793f59671d/fonc-13-1214977-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/4059e4b24ac7/fonc-13-1214977-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/5e9e00a28ce1/fonc-13-1214977-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/981c5466d568/fonc-13-1214977-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/0093baa44bfd/fonc-13-1214977-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/c78b7d418094/fonc-13-1214977-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/e1793f59671d/fonc-13-1214977-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba9/10359704/4059e4b24ac7/fonc-13-1214977-g006.jpg

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