Related Experiment Video
Updated: May 4, 2026

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
New scoring system for prediction of microvascular invasion in patients with hepatocellular carcinoma
Ken Shirabe1, Takeo Toshima, Koichi Kimura
1Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Background & Aims:
The microvascular invasion of cancer cells (mvi) is a good prognostic factor after hepatic resection (HR) and liver transplantation for hepatocellular carcinoma (HCC). This study aimed to predict mvi in patients with HCC.
Methods:
We studied 63 hepatectomized patients with HCC who had HCC without any extrahepatic metastases and vascular invasion, which were detected during preoperative evaluation. The preoperative clinicopathological data of these patients were analysed to predict presence of mvi. A scoring system was designed using significant risk factors. This system was applied to another series of 34 patients with HCC who underwent HR, and was evaluated for validation.
Results:
Tumour size, serum des-gamma-carboxy prothrombin (DCP) levels and the maximum standardized uptake value (SUVmax) on 2-[18F]-fluoro-2-deoxy-D-glucose positron emission tomography were independent clinical predictors for mvi after multivariate analyses. Tumour size, serum DCP levels, and values of SUVmax were used to plot a receiver operating characteristic curve for predicting mvi. Areas under the curve of tumour size, serum DCP levels and SUV max values, were 0.8652, 0.8027 and 0.7848 respectively. Maximal sensitivity and specificity were obtained when the tumour size was 3.6 cm, SUVmax was 4.2, and the serum DCP level was 101 mAU/ml. A scoring system was designed using these three variables. The sensitivity and specificity of our scoring system were 100% and 90.9%, respectively, in the validation test.
Conclusion:
Our scoring system for mvi, consisting of tumour size, serum DCP levels, and SUV max, provides a precise prediction of mvi.
More Related Videos
08:41Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
Published on: March 24, 2023
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018