Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status.
机构：[1]Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou 510080, Guangdong, China中山大学附属第一医院[2]Department of Radiology, Shenzhen City Nanshan District People’s Hospital, Shenzhen 518000, China深圳市康宁医院深圳市南山区人民医院深圳医学信息中心[3]Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China深圳市康宁医院深圳医学信息中心[4]Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China[5]Department of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, 58, The Second Zhongshan Road, Guangzhou 510080, Guangdong, China中山大学附属第一医院[6]MR Collaboration NE Asia, Siemens Healthcare, 278, Zhou Zhu Road, Nanhui, Shanghai 201318, China
Few studies have applied diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI) for the comprehensive assessment of gliomas [tumour grade, isocitrate dehydrogenase-1 (IDH-1) mutation status and tumour proliferation rate (Ki-67)]. This study describes the efficacy of DKI and DTI to comprehensively evaluate gliomas, compares their results.Fifty-two patients (18 females; median age, 47.5 years) with pathologically proved gliomas were prospectively included. All cases underwent DKI examination. DKI (mean kurtosis: MK, axial kurtosis: Ka, radial kurtosis: Kr) and DTI (mean diffusivity: MD, fractional anisotropy: FA) maps of each metric was derived. Three ROIs were manually drawn.MK, Ka, Kr and FA were significantly higher in HGGs than in LGGs, whereas MD was significantly lower in HGGs than in LGGs (P < 0.01). ROC analysis demonstrated that MK (specificity: 100% sensitivity: 79%) and Ka (specificity: 96% sensitivity: 82%) had the same and highest (AUC: 0.93) diagnostic value. Moreover, MK, Ka, and Kr were significantly higher in grade III than II gliomas (P ≦ 0.01). Further, DKI and DTI can significantly identify IDH-1 mutation status (P ≦ 0.03). Ka (sensitivity: 74%, specificity: 75%, AUC: 0.72) showed the highest diagnostic value. In addition, DKI metrics and MD showed significant correlations with Ki-67 (P ≦ 0.01) and Ka had the highest correlation coefficient (rs = 0.72).Compared with DTI, DKI has great advantages for the comprehensive assessment of gliomas. Ka might serve as a promising imaging index in predicting glioma grading, tumour cell proliferation rate and IDH-1 gene mutation status.
基金：
This study was funded by National Natural Science Foundation of China (CN) (Grant No. 81201074) and Fundamental Research Funds for the Central Universities (Grant No. 13ykpy14).
第一作者机构：[1]Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou 510080, Guangdong, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Jing Zhao,Yu‑liang Wang,Xin‑bei Li,et al.Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status.[J].JOURNAL OF NEURO-ONCOLOGY.2019,141(1):195-203.doi:10.1007/s11060-018-03025-7.
APA：
Jing Zhao,Yu‑liang Wang,Xin‑bei Li,Man‑shi Hu,Zhu‑hao Li...&Jian‑ping Chu.(2019).Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status..JOURNAL OF NEURO-ONCOLOGY,141,(1)
MLA：
Jing Zhao,et al."Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status.".JOURNAL OF NEURO-ONCOLOGY 141..1(2019):195-203
