Clinical value of amide proton transfer weighted imaging in predicting Ki67 proliferation level of glioma
XIE Cong
TAN Guirong
ZHENG Fenglian
HOU Zonggang
WANG Xiaobo
LIU Xing
ZHANG Peixin
CHEN Rui
DING Jinli
Abstract：Objective To explore the correlation between amide proton transfer imaging(APTw)and the Ki67 proliferation index of glioma and analyze the accuracy of the predicting model.Methods 63 glioma patients from Beijing Tiantan Hospital were accepted APTw imaging within 2 weeks before surgery,and 59 glioma patients were finally included.The patients were divided into two groups according to immunohistochemistry results:low proliferation group(cell proliferation index<20%,n= 39)and high proliferation group(cell proliferation index 20%,n=20),and the mean APTw signal intensities of gliomas were measured.The correlaction between APTw signal intensity and Ki67 proliferation index was evaluated by Pearson test.The differences of mean APTw signal intensity between two proliferation groups were evaluated by Mann-Whitney U test.The predicting model by mean APTw signal intensity as an imaging biomarker was established,and then ROC curve was drawn to assess their diagnostic performance.Finally,the cut-off value of the APTw signal intensity for this model was obtained by Yuden index.Result There was a positivity correlaction between APTw signal intensity and Ki67 proliferation index(r=0.629,P<0.001),and there was a significant difference between two proliferation groups(Z=4.539,P<0.001).The AUC for predicting model was 0.863(95%CI:0.770-0.956),with sensitivity of 1,and specificity of 0.718.Youden index showed the cut-off value was 2.55.Conclusion APTw signal intensity can be served as an imaging biomarker for the predicting model of glioma Ki-67 proliferation level,which has a good diagnostic effectiveness and good sensitivity;When the mean APTw signal intensity is greater than 2.55,the glioma prefers high proliferation level,otherwise,the glioma prefers low proliferation level.
Keywords：gliomaKi-67 proliferation levelamide proton transfer imagingbiomarker
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1060-1064 )