• T Chen, Y Li, S-S Lu, Y-D Zhang, X-N Wang, C-Y Luo, and H-B Shi.
• Department of Radiology, First Affiliated Hospital of Nanjing Medical University, 300 Guang Zhou Road, Nanjing, 210029, Jiangsu Province, China.
• Clin Radiol. 2017 Nov 1; 72 (11): 995.e11-995.e20.

AimTo evaluate the diagnostic performance of histogram analysis of diffusion kurtosis magnetic resonance imaging (DKI) and standard diffusion-weighted imaging (DWI) in discriminating tumour grades of endometrial carcinoma (EC).Materials And MethodsSeventy-three patients with EC were included in this study. The apparent diffusion coefficient (ADC) value from standard DWI, apparent diffusion for Gaussian distribution (Dapp), and apparent kurtosis coefficient (Kapp) from DKI were acquired using a 3 T magnetic resonance imaging (MRI) system. The measurement was based on an entire-tumour analysis. Histogram parameters (Dapp, Kapp, and ADC) were compared between high-grade (grade 3) and low-grade (grade 1 and 2) tumours. The diagnostic performance of imaging parameters for discriminating high- from low-grade tumours was analysed using a receiver operating characteristic curve (ROC).ResultsThe area under the ROC curve (AUC) of the 10th percentile of Dapp, 90th percentile of Kapp and 10th percentile of ADC were higher than other parameters in distinguishing high-grade tumours from low-grade tumours (AUC=0.821, 0.891 and 0.801, respectively). The combination of 10th percentile of Dapp and 90th percentile of Kapp improved the AUC to 0.901, which was significantly higher than that of the 10th percentile of ADC (0.810, p=0.0314) in differentiating high- from low-grade EC.ConclusionEntire-tumour volume histogram analysis of DKI and standard DWI were feasible for discriminating histological tumour grades of EC. DKI was relatively better than DWI in distinguishing high-grade from low-grade tumour in EC.Copyright © 2017. Published by Elsevier Ltd.

23 keywords...

hide…