Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis

被引:74
|
作者
Han, Yu [1 ]
Yan, Lin-Feng [1 ]
Wang, Xi-Bin [2 ]
Sun, Ying-Zhi [1 ]
Zhang, Xin [1 ]
Liu, Zhi-Cheng [1 ]
Nan, Hai-Yan [1 ]
Hu, Yu-Chuan [1 ]
Yang, Yang [1 ]
Zhang, Jin [1 ]
Yu, Ying [1 ]
Sun, Qian [1 ]
Tian, Qiang [1 ]
Hu, Bo [1 ]
Xiao, Gang [1 ]
Wang, Wen [1 ]
Cui, Guang-Bin [1 ]
机构
[1] Fourth Mil Med Univ, Mil Med Univ PLA Airforce, Dept Radiol & Funct & Mol Imaging, Key Lab Shaanxi Prov,Tangdu Hosp, 569 Xinsi Rd, Xian 710038, Shaanxi, Peoples R China
[2] Hanzhong Cent Hosp, Dept Med Image Diag, Hanzhong 723000, Shaanxi, Peoples R China
来源
BMC CANCER | 2018年 / 18卷
关键词
Glioblastoma; Image feature; Oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter; Apparent diffusion coefficient ( ADC); 3-diminsional pseudo-continuous arterial spin labeling (3D pCASL) imaging; APPARENT DIFFUSION-COEFFICIENT; MAGNETIC-RESONANCE; DNA METHYLTRANSFERASE; HIGH-GRADE; MULTIFORME; MRI; PERFUSION; GLIOMAS; FEATURES; CLASSIFICATION;
D O I
10.1186/s12885-018-4114-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The methylation status of oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter has been associated with treatment response in glioblastoma(GBM). Using pre-operative MRI techniques to predict MGMT promoter methylation status remains inconclusive. In this study, we investigated the value of features from structural and advanced imagings in predicting the methylation of MGMT promoter in primary glioblastoma patients. Methods: Ninety-two pathologically confirmed primary glioblastoma patients underwent preoperative structural MR imagings and the efficacy of structural image features were qualitatively analyzed using Fisher's exact test. In addition, 77 of the 92 patients underwent additional advanced MRI scans including diffusion-weighted (DWI) and 3-diminsional pseudo-continuous arterial spin labeling (3D pCASL) imaging. Apparent diffusion coefficient (ADC) and relative cerebral blood flow (rCBF) values within the manually drawn region-of-interest (ROI) were calculated and compared using independent sample t test for their efficacies in predicting MGMT promoter methylation. Receiver operating characteristic curve (ROC) analysis was used to investigate the predicting efficacy with the area under the curve (AUC) and cross validations. Multiple-variable logistic regression model was employed to evaluate the predicting performance of multiple variables. Results: MGMT promoter methylation was associated with tumor location and necrosis (P < 0.05). Significantly increased ADC value (P< 0.001) and decreased rCBF (P < 0.001) were associated with MGMT promoter methylation in primary glioblastoma. The ADC achieved the better predicting efficacy than rCBF (ADC: AUC, 0.860; sensitivity, 81.1%; specificity, 82.5%; vs rCBF: AUC, 0.835; sensitivity, 75.0%; specificity, 78.4%; P = 0.032). The combination of tumor location, necrosis, ADC and rCBF resulted in the highest AUC of 0.914. Conclusion: ADC and rCBF are promising imaging biomarkers in clinical routine to predict the MGMT promoter methylation in primary glioblastoma patients.
引用
收藏
页数:10
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