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术前计算机断层扫描和血清甲胎蛋白预测肝细胞癌微血管侵犯情况

Preoperative computed tomography and serum α-fetoprotein to predict microvascular invasion in hepatocellular carcinoma.

作者信息

Zhang Wei, Liu Lijuan, Wang Peng, Wang Lili, Liu Lidong, Chen Jie, Su Danke

机构信息

Department of Radiology Department of Hepatobiliary Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China.

出版信息

Medicine (Baltimore). 2018 Jul;97(27):e11402. doi: 10.1097/MD.0000000000011402.

DOI:10.1097/MD.0000000000011402
PMID:29979435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6076029/
Abstract

To determine the diagnostic value of computed tomography (CT) for prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Preoperative CTs for 160 patients with 57 MVI-positive and 103 MVI-negative HCCs diagnosed by surgical pathology were reviewed retrospectively. CT parameters and serum α-fetoprotein (AFP) level were analyzed in SPSS 16.0. Although univariate analysis showed that tumor size (P = .012), grade (Z = -2.114, P = .034), and peritumoral enhancement (χ = 4.464, P = .035) were associated with MVI, multiple logistic regression analysis showed that capsular invasion (odds ratio [OR] = 23.469, P < .001), margins (OR = 6.751, P < .001), and serum AFP level (OR = 1.001, P = .038) were associated with MVI in HCC (P < .05). Radiographic hepatic capsular invasion and nonsmooth tumor margins identified by preoperative CT images, along with AFP levels greater than 232.2 ng/mL, are important predictors of MVI.

摘要

确定计算机断层扫描(CT)对预测肝细胞癌(HCC)微血管侵犯(MVI)的诊断价值。回顾性分析160例经手术病理诊断为MVI阳性和103例MVI阴性HCC患者的术前CT图像。在SPSS 16.0中分析CT参数和血清甲胎蛋白(AFP)水平。单因素分析显示肿瘤大小(P = 0.012)、分级(Z = -2.114,P = 0.034)和瘤周强化(χ = 4.464,P = 0.035)与MVI有关,但多因素逻辑回归分析显示,包膜侵犯(比值比[OR]=23.469,P<0.001)、边界(OR = 6.751,P<0.001)和血清AFP水平(OR = 1.001,P = 0.038)与HCC中的MVI有关(P<0.05)。术前CT图像显示的肝包膜侵犯和肿瘤边界不光滑,以及AFP水平大于232.2 ng/mL是MVI的重要预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/066d/6076029/31316c679647/medi-97-e11402-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/066d/6076029/dd485a61f782/medi-97-e11402-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/066d/6076029/31316c679647/medi-97-e11402-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/066d/6076029/dd485a61f782/medi-97-e11402-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/066d/6076029/31316c679647/medi-97-e11402-g003.jpg

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