Literature DB >> 34269295

A nomogram to predict microvascular invasion in early hepatocellular carcinoma.

Hongguang Li1, Tao Li2, Jinhua Hu2, Jun Liu3.   

Abstract

AIM: To construct an integrated nomogram combining protein induced by vitamin K antagonist-II (PIVKA-II), alpha fetoprotein (AFP) and other clinical factors to detect microvascular invasion (MVI) in early hepatocellular carcinoma (HCC) patients with single nodule.
METHODS: One hundred and eleven early HCC patients were enrolled in the present study and 43 early HCC patients were diagnosed with MVI. Serum levels of PIVKA-II, AFP and other laboratory indicators were detected. Chi-squared test, t-test and logistic regression were employed in statistic analysis. A nomogram combining independent predictors was constructed and internal validated.
RESULTS: In early HCC patients with MVI, PIVKA-II serum level was significantly higher than those without MVI (385.97 mAU/ml vs 67.08 mAU/ml; P < 0.01), as well as AFP serum level (81.6 ng/mL vs 9.15 ng/mL P = 0.001). PIVAK-II, AFP serum levels and tumor size were independent risk factors for MVI in early HCC, which was employed to develop a logistic regression model. The area under the ROC curve (AUROC) of the model was 0.74 (95%CI 0.65 - 0.84). A nomogram combining PIVKA-II, AFP and tumor size was constructed and calibration curves showed that the model was accurate in predicting the risk of MVI in early HCC patients.
CONCLUSION: The present study indicates that a preoperative nomogram combining PIVKA-II, AFP and tumor size could estimate the preoperative probability of MVI in early HCC patients, which may help clinicians in choosing treatment options and prognosis evaluation.

Entities:  

Keywords:  Early hepatocellular carcinoma; microvascular invasion; nomogram

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Year:  2021        PMID: 34269295     DOI: 10.4103/jcrt.JCRT_1714_20

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  2 in total

1.  Prognostic Analysis of Postoperative Survival for Ruptured Hepatocellular Carcinoma with or without Cirrhosis.

Authors:  Feng Xia; Peng Zhu; Xiao-Ping Chen; Bi-Xiang Zhang; Ming-Yu Zhang
Journal:  J Oncol       Date:  2022-03-17       Impact factor: 4.375

2.  A preoperative model based on gadobenate-enhanced MRI for predicting microvascular invasion in hepatocellular carcinomas (≤ 5 cm).

Authors:  Sisi Zhang; Lei Huo; Juan Zhang; Yayuan Feng; Yiping Liu; Yuxian Wu; Ningyang Jia; Wanmin Liu
Journal:  Front Oncol       Date:  2022-08-30       Impact factor: 5.738

  2 in total

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