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Prediction of methylguanine methyltransferase promoter methylation in glioblastoma using dynamic contrast-enhanced magnetic resonance and diffusion tensor imaging

 Sung Soo Ahn  ;  Na-Young Shin  ;  Jong Hee Chang  ;  Se Hoon Kim  ;  Eui Hyun Kim  ;  Dong Wook Kim  ;  Seung-Koo Lee 
 JOURNAL OF NEUROSURGERY, Vol.121(2) : 367-373, 2014 
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Aged ; Biomarkers ; Brain Neoplasms/enzymology ; Brain Neoplasms/genetics* ; Brain Neoplasms/pathology* ; Contrast Media ; Diffusion Tensor Imaging/methods* ; Female ; Glioblastoma/enzymology ; Glioblastoma/genetics* ; Glioblastoma/pathology* ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; O(6)-Methylguanine-DNA Methyltransferase/genetics* ; Promoter Regions, Genetic/genetics ; Retrospective Studies
ADC = apparent diffusion coefficient ; BBB = blood-brain barrier ; DCE = dynamic contrast-enhanced ; DTI = diffusion tensor imaging ; FA = fractional anisotropy ; Kep = rate transfer coefficient ; Ktrans = transfer constant ; MGMT = methylguanine methyltransferase ; O-6-methylguanine-DNA methyltransferase ; ROI = region of interest ; Ve = volume fraction of extravascular extracellular space ; diffusion tensor imaging ; glioblastoma ; magnetic resonance imaging ; oncology ; permeability
OBJECT: The methylation status of the methylguanine methyltransferase (MGMT) promoter has been associated with treatment response in glioblastoma. The authors aimed to assess whether MGMT methylation status can be predicted by dynamic contrast-enhanced (DCE) MRI and diffusion tensor imaging (DTI). METHODS: This retrospective study included 43 patients with pathologically diagnosed glioblastoma who had undergone preoperative DCE-MRI and DTI and whose MGMT methylation status was available. The imaging features were qualitatively assessed using conventional MR images. Regions of interest analyses for DCE-MRI permeability parameters (transfer constant [Ktrans], rate transfer coefficient [Kep], and volume fraction of extravascular extracellular space [Ve]) and DTI parameters (apparent diffusion coefficient [ADC] and fractional anisotropy [FA]) were performed on the enhancing solid portion of the glioblastoma. Chi-square or Mann-Whitney tests were used to evaluate relationships between MGMT methylation and imaging parameters. The authors performed receiver operating characteristic curve analysis to find the optimal cutoff value for the presence of MGMT methylation. RESULTS: MGMT methylation was not significantly associated with any imaging features on conventional MR images. Ktrans values were significantly higher in the MGMT methylated group (median 0.091 vs 0.053 min(-1), p = 0.018). However, Kep, Ve, ADC, and FA were not significantly different between the 2 groups. The optimal cutoff value for the presence of MGMT methylation was Ktrans > 0.086 min(-1) with an area under the curve of 0.756, a sensitivity of 56.3%, and a specificity of 85.2%. CONCLUSIONS: Ktrans may serve as a potential imaging biomarker to predict MGMT methylation status preoperatively in glioblastoma; however, further investigation with a larger cohort is necessary.
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1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Se Hoon(김세훈) ORCID logo https://orcid.org/0000-0001-7516-7372
Kim, Eui Hyun(김의현) ORCID logo https://orcid.org/0000-0002-2523-7122
Lee, Seung Koo(이승구) ORCID logo https://orcid.org/0000-0001-5646-4072
Chang, Jong Hee(장종희)
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