期刊
EUROPEAN JOURNAL OF RADIOLOGY
卷 83, 期 12, 页码 2122-2128出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2014.09.021
关键词
Diffusion magnetic resonance imaging; Cell differentiation; Magnetic resonance imaging; Stomach neoplasm
资金
- National Natural Science Foundation of China [81371516]
- Foundation of National Health and Family Planning Commission of China [W201306]
- Nature Science Foundation of Jiangsu Province [BK2012531]
Objective: The purpose of this study was to evaluate the correlations between histological differentiation and Lauren classification of gastric cancer and the apparent diffusion coefficient (ADC) value of diffusion weighted imaging (DWI). Materials and methods: Sixty-nine patients with gastric cancer lesions underwent preoperative magnetic resonance imaging (MRI) (3.0T) and surgical resection. DWI was obtained with a single-shot, echo-planar imaging sequence in the axial plane (b values: 0 and 1000 s/mm(2)). Mean and minimum ADC values were obtained for each gastric cancer and normal gastric walls by two radiologists, who were blinded to the histological findings. Histological type, degree of differentiation and Lauren classification of each resected specimen were determined by one pathologist. Mean and minimum ADC values of gastric cancers with different histological types, degrees of differentiation and Lauren classifications were compared. Correlations between ADC values and histological differentiation and Lauren classification were analyzed. Results: The mean and minimum ADC values of gastric cancers, as a whole and separately, were significantly lower than those of normal gastric walls (all p values <0.001). There were significant differences in the mean and minimum ADC values among gastric cancers with different histological types, degrees of differentiation and Lauren classifications (p <0.05). Mean and minimum ADC values correlated significantly (all p < 0.001) with histological differentiation (r=0.564, 0.578) and Lauren classification (r= -0.493, -0.481). Conclusions: The ADC values may be helpful as a noninvasive tool for evaluating the histological features of gastric cancer, such as histological type, degree of differentiation and Lauren classification. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
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