Assessment of Vascular Network Connectivity of Hepatocellular Carcinoma Using Graph-Based Approach

Qiaoyu Liu; Boyu Zhang; Luna Wang; Rencheng Zheng; Jinwei Qiang; He Wang; Fuhua Yan; Ruokun Li

doi:10.3389/fonc.2021.668874

Assessment of Vascular Network Connectivity of Hepatocellular Carcinoma Using Graph-Based Approach

Front Oncol. 2021 Jul 6:11:668874. doi: 10.3389/fonc.2021.668874. eCollection 2021.

Authors

Qiaoyu Liu^{1

2}, Boyu Zhang³, Luna Wang⁴, Rencheng Zheng³, Jinwei Qiang⁵, He Wang³, Fuhua Yan², Ruokun Li²

Affiliations

¹ Department of Radiology, Tenth People's Hospital of Tongji University, Shanghai, China.
² Department of Radiology, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
³ Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
⁴ Department of Radiology, Shanghai Chest Hospital, Shanghai JiaoTong University, Shanghai, China.
⁵ Department of Radiology, Jinshan hospital, Fudan University, Shanghai, China.

Abstract

Background: The angiogenesis of liver cancer is a key condition for its growth, invasion, and metastasis. This study aims to investigate vascular network connectivity of hepatocellular carcinoma (HCC) using graph-based approach.

Methods: Orthotopic HCC xenograft models (n=10) and the healthy controls (n=10) were established. After 21 days of modeling, hepatic vascular casting and Micro-CT scanning were performed for angiography, followed by blood vessels automatic segmentation and vascular network modeling. The topologic parameters of vascular network, including clustering coefficient (CC), network structure entropy (NSE), and average path length (APL) were quantified. Topologic parameters of the tumor region, as well as the background liver were compared between HCC group and normal control group.

Results: Compared with normal control group, the tumor region of HCC group showed significantly decreased CC [(0.046 ± 0.005) vs. (0.052 ± 0.006), P=0.026], and NSE [(0.9894 ± 0.0015) vs. (0.9927 ± 0.0010), P<0.001], and increased APL [(0.433 ± 0.138) vs. (0.188 ± 0.049), P<0.001]. Compared with normal control group, the background liver of HCC group showed significantly decreased CC [(0.047 ± 0.004) vs. (0.052 ± 0.006), P=0.041] and increased NSE [0.9938 (0.9936~0.9940) vs. (0.9927 ± 0.0010), P=0.035]. No significant difference was identified for APL between the two groups.

Conclusion: Graph-based approach allows quantification of vascular connectivity of HCC. Disrupted vascular topological connectivity exists in the tumor region, as well as the background liver of HCC.

Keywords: Micro-CT; graph-based approach; hepatocellular carcinoma; topologic connectivity; vascular network.