Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma
Authors: Peng Qin , Tang Wei , Huang Yao , Wu Ning , Yang Lin , Li Ni 
Published: September 2020

Abstract

Background:
Due to development of magnetic resonance-based functional imaging, it is easier to detect micro-structural alterations of tumor tissues. The aim of this study was to conduct a preliminary evaluation of the correlation of non-Gaussian diffusion kurtosis imaging (DKI) parameters with expression of molecular markers (epidermal growth factor receptor [EGFR]; anaplastic lymphoma kinase [ALK]; Ki-67 protein) in patients with advanced lung adenocarcinoma, using routine diffusion-weighted imaging as the reference standard.

Methods:
Data from patients with primary lung adenocarcinoma diagnosed at Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS) from 2016 to 2019 were collected for retrospective analysis. The pathologic and magnetic resonance imaging data of 96 patients who met the inclusion criteria were included in this study. Specifically, the K
app and D
app parameters measured from the DKI model; apparent diffusion coefficient (ADC) value from the diffusion-weighted imaging model; and the EGFR, ALK, and Ki-67 biomarkers detected by immunohistochemistry and/or molecular biology techniques after biopsy or surgery were evaluated. The relations between quantitative parameters (ADC, K
app, D
app) and pathologic outcomes (EGFR, ALK, and Ki-67 expression) were analyzed by Spearman correlation test.

Results:
Of the 96 lung adenocarcinoma lesions (from 96 patients), the number of EGFR- and ALK-positive and high Ki-67 expressing lesions were 53, 12, and 83, respectively. The K
app values were significantly higher among patients with EGFR-positive mutations (0.81 ± 0.12 vs. 0.66 ± 0.10, t = 6.41, P < 0.001), ALK rearrangement-negative (0.76 ± 0.12 vs. 0.60 ± 0.15, t = 4.09, P < 0.001), and high Ki-67 proliferative index (PI) (0.76 ± 0.12 vs. 0.58 ± 0.13, t
= 4.88, P < 0.001). The D
app values were significantly lower among patients with high Ki-67 PI (3.19 ± 0.69 μm2/ms vs. 4.20 ± 0.83 μm2/ms, t
= 4.80, P < 0.001) and EGFR-positive mutations (3.11 ± 0.73 μm2/ms vs. 3.59 ± 0.77 μm2/ms, t
= 3.12, P = 0.002). The differences in mean D
app (3.73 ± 1.26 μm2/ms vs. 3.26 ± 0.68 μm2/ms, t = 1.96, P = 0.053) or ADC values ([1.34 ± 0.81] × 10−3 mm2/s vs. [1.33 ± 0.41] × 10−3 mm2/s, t = 0.07, P = 0.941) between the groups with or without ALK rearrangements were not statistically significant. The ADC values were significantly lower among patients with EGFR-positive mutation ([1.19 ± 0.37] × 10−3 mm2/s vs. [1.50 ± 0.53] × 10−3 mm2/s, t = 3.38, P = 0.001) and high Ki-67 PI ([1.28 ± 0.39] × 10−3 mm2/s vs. [1.67 ± 0.77] × 10−3 mm2/s, t = 2.88, P = 0.005). K
app was strongly positively correlated with EGFR mutations (r = 0.844, P = 0.008), strongly positively correlated with Ki-67 PI (r = 0.882, P = 0.001), and strongly negatively correlated with ALK rearrangements (r = −0.772, P = 0.001). D
app was moderately correlated with EGFR mutations (r = −0.650, P = 0.024) or Ki-67 PI (r = −0.734, P = 0.012). ADC was moderately correlated with Ki-67 PI (r = −0.679, P = 0.033).

Conclusions:
The K
app value of DKI parameters was strongly correlated with different expression of EGFR, ALK, and Ki-67 in advanced lung adenocarcinoma. The results potentially indicate a surrogate measure of the status of different molecular markers assessed by non-invasive imaging tools.