Dual Energy Spectral CT Imaging in the assessment of Gastric Cancer and cell proliferation: A Preliminary Study

• Published in: Scientific reports Vol. 8; no. 1; pp. 17619 - 7
• Main Authors: Cheng, Sai-Ming, Ling, Wei, Zhu, Jiong, Xu, Jian-Rong, Wu, Lian-Ming, Gong, Hong-Xia
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04.12.2018; Nature Publishing Group
• Subjects: 692/308/2778; 692/699/67/1504/1829; Antigens; Cell proliferation; Computed tomography; Correlation analysis; Gastric cancer; Humanities and Social Sciences; Iodine; multidisciplinary; Science; Science (multidisciplinary); Gastric Cancer; Dual-energy Spectral CT (DEsCT); Growth Fraction Estimation; Early Gastric Cancer (EGC); Normalized Iodine Concentrations
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-35712-w

Gastric cancer is one of the main diseases leading to cancer-related death. The recently introduced dual-energy spectral CT (DEsCT), allows to obtain many quantitative measurements from iodine-based material decomposition (MD) images, which contribute to improve the accuracy of staging of GC comparing to multidetector spiral CT. And Ki-67 is a well-recognized nuclear antigen-specific biomarker reflecting cellular proliferation for estimating growth fractions of various tumor types. In the present study we analyzed the features of quantitative measurements (the curve slope (λ HU ), IC, normalized iodine concentrations (NIC)) obtained from DEsCT and levels of Ki-67 protein expression. We demonstrated that the values between advanced gastric cancer (AGC) and early gastric cancer (EGC) were significantly different both in venous phase (VP) and delayed phase (DP). The values of different level of Ki-67 expression grade were significantly different both in VP and DP. The rank correlation analysis between Ki-67 grade and IC, NIC and λ HU values showed significantly positive correlation in VP and DP. These results suggested that quantitative parameters (IC, NIC and λ HU ) in dual-energy CT imaging can be used to differentiate EGC from AGC, and have significantly positive correlation with Ki-67 antigen expression levels in gastric cancer for indicating tumor cellular proliferation.