Abstract：Objective: To investigate the prospect of amide proton transfer(APT) imaging based on protein concentration in brain gliomas. Methods: A total of 19 patients with brain glioma underwent needle biopsy or surgical resection were collected. They were proved to be low-grade, 4 cases were grade Ⅰ, 7 cases were grade Ⅱ, with high-grade tumors of 5 cases were grade Ⅲ, 3 cases were grade Ⅳ. All patients underwent conventional magnetic resonance sequences(T1WI, T2WI, DWI, FLAIR, and Gd-T1WI) and APT sequence scans, APT imaging was performed prior to enhancement scan. The signal difference of the APT imaging signal was compared between the tumor parenchymal area(represented by APTmax) and the peritumoral region(the edema area or the parenchymal area within 0.5 cm, represented by APTmin). The independent sample t test was used to analyze whether the difference in APTmin and APTmax values between low-grade tumors(grade Ⅰ and Ⅱ) and high-grade tumors(grade Ⅲ and Ⅳ) was statistically significant. ANOVA was used to analyze statistically significant differences in APTmax and APTmin between gliomas. Spearman correlation analysis was used to analyze the correlation between glioma grading and APTmax and APTmin. And through the receiver operating characteristic curve(ROC curve) to analyze the differential diagnosis ability of APTmax. The difference of P<0.05 was statistically significant. Results: The APTmax and APTmin values of low-grade tumors were lower than those of high-grade tumors. There were significant differences in the APTmax and APTmin values from grade Ⅰ to grade Ⅳ. The APTmax of all tumors was higher than APTmin. Glioma grade was positively correlated with tumor APTmax and APTmin. Conclusion: As a non-invasive MR imaging modality, APT imaging plays an important role in the diagnosis, classification and differential diagnosis of brain tumors.
郑 阳，王晓明. 酰胺质子转移成像在脑胶质瘤中的应用研究[J]. 中国临床医学影像杂志, 2017, 28(10): 697-701.
ZHENG Yang, WANG Xiao-ming. Application of amide proton transfer imaging in glioma. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(10): 697-701.
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