Di-san junyi daxue xuebao (Dec 2021)
Application of different post-processing modes of dynamic contrast enhanced magnetic resonance imaging in glioma grading
Abstract
Objective To explore the diagnostic values of different post-processing modes of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in the differentiation of glioma grade. Methods A total of 89 patients with glioma confirmed by postoperative pathology in our hospital from January 2013 to July 2019 were enrolled, including 29 patients of gradeⅡ, 24 of grade Ⅲ and 36 of grade Ⅳ. All patients underwent preoperative DCE-MRI examination, and corresponding parameters were collected and processed using post-processing software Tissue-4D and Omni-Kinetics (OK) respectively. One-way ANOVA was adopted to compare the differences of the obtained parameters among glioma of different grades. Spearman rank correlation analysis was performed to analyze the correlation between each parameter and glioma grade, and receiver operating characteristic (ROC) curve was used to evaluate the area under the curve (AUC) of each parameter. Results In hot spot analysis, the Ktrans values of both post-processing modes, as well as the iAUC value of Tissue-4D and the Vp value of OK were all significantly different among glioma of different grades (P < 0.05). The Kep value of grade Ⅳ glioma was obviously lower than that of grade Ⅱ glioma (P < 0.05), while the Ve values of grade Ⅳ and Ⅲ tumors were notably higher than that of gradeⅡ one (P < 0.05). The AUC value of Ktrans (Tissue-4D) was 0.949 in the differentiation of gradeⅡ from grade Ⅳ glioma (P < 0.01), indicating the highest diagnostic efficiency, and the correlation between Ktrans (OK) and glioma grade was the highest (r=0.775, P < 0.01). In the histogram analysis of OK, the 50th percentile of Ktrans value, the mean and the 75th and 90th percentiles of Ve value, the mean, entropy and the 50th percentile of Kep value, as well as the mean value of Vp showed significances in the differentiation of grade Ⅱ from grade Ⅲ and grade Ⅱ from grade Ⅳ glioma (P < 0.05). Moreover, the energy, entropy and 50th, 75th, 90th percentiles of Vp value, and the energy of Kep value were statistically different in the identification of grade Ⅳ from grade Ⅱ and grade Ⅳ from grade Ⅲ (P < 0.05). Conclusion The Ktrans and Ve values of the 2 post-processing modes have rather high diagnostic efficiency for glioma grading in the hotspot analysis, and the histogram analysis of OK software involves more abundant and comprehensive parameters.
Keywords
