Correlation Between Quantitative Spectral CT Parameters and Ki-67 Expression in Lung Adenocarcinomas Manifesting as Ground-glass Nodules

Author:

Wu Nan1,Cao Xin21,Hu Hong-guang1,Shen Min1,Deng Kai1

Affiliation:

1. Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China

2. Department of Radiology, Huashan Hospital, Shanghai, China

Abstract

Objective: We assessed the feasibility of spectral CT imaging for diagnosing lung adenocarcinomas manifesting as ground-glass nodules (GGNs) with varying Ki-67 expression. Methods: Spectral CT parameters in 116 patients with lung adenocarcinomas manifesting as GGNs were analyzed. Cases were grouped into pre-invasive/minimally invasive adenocarcinoma (pre/MIA) and invasive adenocarcinoma (IA) groups. The Ki-67 labeling index (Ki-67 LI) was measured and compared between the two groups. Ki-67 LI was divided into three grades based on the number of positive-stained cells. Spectral CT parameters (diameter, water, and iodine concentrations of the lesion [WCL and ICL], the slope of the spectral Hounsfield unit curve [λHU], and CT values from 40 to 140 keV [at 10 keV intervals]) were compared among the three different grades. The correlation between quantitative spectral CT imaging parameters and Ki-67 LI was analyzed using Spearman correlation analysis. Results: Ki-67 LI in the IA group was significantly higher than in the pre/MIA group (p < 0.01). Grade 2 had higher diameter, WCL, and monochromatic CT values, and grade 1 had higher ICL and λHU. The WCL and monochromatic CT values were highly and positively correlated with Ki-67 LI. CT40keV had the highest correlation with Ki-67 LI, the diameter was moderately correlated with Ki-67 LI, and ICL and λHU were weakly correlated with Ki-67 LI. Conclusions: Spectral CT, a noninvasive diagnostic method, is valuable for predicting Ki-67 expression higher in IA, thus allowing preoperative evaluation of lung adenocarcinomas manifesting as GGNs.

Funder

Shanghai Science and Technology Development Foundation

Shanghai Shen Kang Hospital Development Center

Huashan Hospital

Fudan University

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

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