Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
ORIGINAL ARTICLE
Year : 2021  |  Volume : 17  |  Issue : 3  |  Page : 652-657

A nomogram to predict microvascular invasion in early hepatocellular carcinoma


1 Department of Hepatobiliary Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Shandong, 250021, China
2 Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
3 Department of Hepatobiliary Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Department of Hepatobiliary Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China

Correspondence Address:
Jinhua Hu
Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021
China
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jcrt.JCRT_1714_20

Rights and Permissions

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.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed326    
    Printed0    
    Emailed0    
    PDF Downloaded9    
    Comments [Add]    

Recommend this journal