TY - JOUR
T1 - Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics
AU - Jiang, Shanshan
AU - Rui, Qihong
AU - Wang, Yu
AU - Heo, Hye Young
AU - Zou, Tianyu
AU - Yu, Hao
AU - Zhang, Yi
AU - Wang, Xianlong
AU - Du, Yongxing
AU - Wen, Xinrui
AU - Chen, Fangyao
AU - Wang, Jihong
AU - Eberhart, Charles G.
AU - Zhou, Jinyuan
AU - Wen, Zhibo
N1 - Funding Information:
Funding This study was partially supported by grants from National Natural Science Foundation of China (81171322), Guangdong Provincial Natural Science Foundation (2014A030313271, S2012010009114), Guangdong Provincial Science and Technology Project (2014A020212726), Southern Medical University clinical research project (LC2016ZD028), and the National Institutes of Health (R01EB009731, R01CA166171).
Publisher Copyright:
© 2017, European Society of Radiology.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - Objectives: To explore the feasibility of using amide proton transfer-weighted (APTw) MRI metrics as surrogate biomarkers to identify the O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status in glioblastoma (GBM). Methods: Eighteen newly diagnosed GBM patients, who were previously scanned at 3T and had a confirmed MGMT methylation status, were retrospectively analysed. For each case, a histogram analysis in the tumour mass was performed to evaluate several quantitative APTw MRI metrics. The Mann-Whitney test was used to evaluate the difference in APTw parameters between MGMT methylated and unmethylated GBMs, and the receiver-operator-characteristic analysis was further used to assess diagnostic performance. Results: Ten GBMs were found to harbour a methylated MGMT promoter, and eight GBMs were unmethylated. The mean, variance, 50th percentile, 90th percentile and Width10-90 APTw values were significantly higher in the MGMT unmethylated GBMs than in the MGMT methylated GBMs, with areas under the receiver-operator-characteristic curves of 0.825, 0.837, 0.850, 0856 and 0.763, respectively, for the discrimination of MGMT promoter methylation status. Conclusions: APTw signal metrics have the potential to serve as valuable imaging biomarkers for identifying MGMT methylation status in the GBM population. Key Points: • APTw-MRI is applied to predict MGMT promoter methylation status in GBMs. • GBMs with unmethylated MGMT promoter present higher APTw-MRI than methylated GBMs. • Multiple APTw histogram metrics can identify MGMT methylation status. • Mean APTw values showed the highest diagnostic accuracy (AUC = 0.825).
AB - Objectives: To explore the feasibility of using amide proton transfer-weighted (APTw) MRI metrics as surrogate biomarkers to identify the O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status in glioblastoma (GBM). Methods: Eighteen newly diagnosed GBM patients, who were previously scanned at 3T and had a confirmed MGMT methylation status, were retrospectively analysed. For each case, a histogram analysis in the tumour mass was performed to evaluate several quantitative APTw MRI metrics. The Mann-Whitney test was used to evaluate the difference in APTw parameters between MGMT methylated and unmethylated GBMs, and the receiver-operator-characteristic analysis was further used to assess diagnostic performance. Results: Ten GBMs were found to harbour a methylated MGMT promoter, and eight GBMs were unmethylated. The mean, variance, 50th percentile, 90th percentile and Width10-90 APTw values were significantly higher in the MGMT unmethylated GBMs than in the MGMT methylated GBMs, with areas under the receiver-operator-characteristic curves of 0.825, 0.837, 0.850, 0856 and 0.763, respectively, for the discrimination of MGMT promoter methylation status. Conclusions: APTw signal metrics have the potential to serve as valuable imaging biomarkers for identifying MGMT methylation status in the GBM population. Key Points: • APTw-MRI is applied to predict MGMT promoter methylation status in GBMs. • GBMs with unmethylated MGMT promoter present higher APTw-MRI than methylated GBMs. • Multiple APTw histogram metrics can identify MGMT methylation status. • Mean APTw values showed the highest diagnostic accuracy (AUC = 0.825).
KW - Amide proton transfer-weighted imaging
KW - Glioblastoma
KW - Magnetic resonance imaging
KW - Methylation
KW - O6-methylguanine-DNA methyltransferase
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U2 - 10.1007/s00330-017-5182-4
DO - 10.1007/s00330-017-5182-4
M3 - Article
C2 - 29234914
AN - SCOPUS:85037732562
SN - 0938-7994
VL - 28
SP - 2115
EP - 2123
JO - European radiology
JF - European radiology
IS - 5
ER -