Abstract:Abstract: Objective: To investigate the value of magnetic resonance diffusion kurtosis imaging(DKI) in differential diagnosis of intracerebral primary high-grade gliomas and single intracerebral metastasis tumor through multiple parameters including MK value, MD value and FA value. Methods: Thirteen cases of high-grade gliomas and 12 cases of single intracerebral metastasis tumors confirmed by pathology were collected from January 2013 to May 2015. All patients underwent conventional MRI sequences and DKI sequence. Region of interest was located at both the solid area and the surrounding edema zone of the tumors respectively, and MK, MD, FA values were measured. Standardized corrections were performed for contralateral normal brain white matter. Then corresponding standard parameters of MK’, MD’, and FA’ values were obtained. Independent samples t test was performed to compare DKI parameters of both solid area and edema region for high grade gliomas and metastasis tumors. Results: MK, MD and FA values in the solid area and surrounding region of high grade glioma tumor were 0.84±0.21, (1.28±.30)×10-3 mm2/s, 0.26±0.17; 1.19±0.26, (1.07±0.22)×10-3 mm2/s, 0.28±0.12 respectively. The DKI values of above-mentioned regions of intracranial atypical metastases were 0.80±0.20, (1.48±0.45)×10-3 mm2/s, 0.17±0.12; 0.86±0.18, (1.54±0.46)×10-3 mm2/s, 0.22±0.14 respectively. There was no statistical difference for DKI parameters of the solid region between gliomas and metastasis. There was significant difference for MK and MD values of the surrounding region between gliomas and metastasis(P<0.05), however there was no significant difference for the FA value. After the correction, there was significant difference for the MK’, MD’ values of surrounding region between two kinds of tumors(P<0.01), and there was no statistical difference for other corrected parameters. Conclusion: The MK and MD values of surrounding edema region have important value in differential diagnosis of high-grade gliomas and cerebral metastasis.
刘培政,沈晓君,李 军,耿军祖. MR扩散峰度成像在鉴别高级别胶质瘤与转移瘤中的价值[J]. 中国临床医学影像杂志, 2015, 26(12): 841-843.
LIU Pei-zheng, SHEN Xiao-jun, LI Jun, GENG Jun-zu. The value of magnetic resonance diffusion kurtosis imaging in differential diagnosis of high grade gliomas and metastatic tumor. JOURNAL OF CHINA MEDICAL IMAGING, 2015, 26(12): 841-843.
[1]Falangola MF, Jensen JH, Tabesh A, et al. Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer’s disease[J]. Magn Reson Imaging, 2013, 31(6): 840-846.
[2]De Santis S, Assaf Y, Jones DK. Using the biophysical CHARMED model to elucidate the underpinnings of contrast in diffusional kurtosis analysis of diffusion-weighted MRI[J]. MAGMA, 2012, 25(4): 267-276.
[3]范兵,杜华睿,王霄英,等. 转运常数(Ktrans)对高级别胶质瘤与脑转移瘤的鉴别诊断价值[J]. 实用放射学杂志,2014,(4):557-560.
[4]丁庆国,陈振湖,陆永明,等. 弥散张量成像(DTI)在胶质瘤分级中的应用价值初探[J]. 中国CT和MRI杂志,2007,5(2):10-11.
[5]李子孝,戴建平,江涛,等. 脑胶质瘤术前3.0T磁共振弥散张量成像分级[J]. 中国医学影像技术,2009,25(12):2201-2204.
[6]吴雪斌,张伟国,谭勇,等. 磁共振灌注及波谱成像在鉴别高级别胶质瘤和转移瘤中的应用[J]. 中国临床医学影像杂志,2010,21(6):381-384.
[7]于昊,王显龙,冯吕金,等. 应用MRI鉴别诊断高级别胶质瘤与单发脑转移瘤的研究进展[J]. 实用医学杂志,2014,30(19):3192-3194.
[8]郝金钢,曹洪明,白鹏,等. DWI在脑转移瘤和恶性胶质瘤鉴别诊断中的价值[J]. 昆明医科大学学报,2014,35(11):71-75.
[9]王国华,范海芸,宋修峰,等. 3.0T 1H-MRS在脑内高级别星形细胞瘤及单发转移瘤鉴别诊断中的价值[J]. 中国中西医结合影像学杂志,2014,12(5):460-462.
[10]谭艳,张辉,王效春,等. 磁共振扩散峰度成像在脑星形细胞瘤分级的初步研究[J]. 中西医结合心脑血管病杂志,2014,12(11):1351-1352.
[11]黄海燕,田兄玲,王俭,等. 磁共振成像扩散峰度成像技术对抑郁症患者脑微观结构变化的评估价值[J]. 中国全科医学,2014,17(36):4386-4391.
[12]Yoshida M, Hori M, Yokoyama K, et al. Diffusional kurtosis imaging of normal-appearing white matter in multiple sclerosis: preliminary clinical experience[J]. Jpn J Radiol, 2013, 31(1): 50-55.
[13]Zhu J, Zhuo C, Qin W, et al. Performances of diffusion kurtosis imaging and diffusion tensor imaging in detecting white matter abnormality in schizophrenia[J]. Neuroimage Clin, 2014, 7: 170-176.
[14]Van Cauter S, De Keyzer F, Sima DM, et al. Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas[J]. Neuro Oncol, 2014, 16(7): 1010-1021.