Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis
Joint Authors
Zhang, Zhongping
Zeng, Min
Fu, Yan
Chen, Xin
Tong, Yichen
Zhang, Tianjing
Cheng, Zixuan
Yang, Ruimeng
Liu, Zaiyi
Wei, Xinhua
Jiang, Xinqing
Xu, Xiangdong
Li, Haixia
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Methylation of the O6-methylguanine methyltransferase (MGMT) gene promoter is correlated with the effectiveness of the current standard of care in glioblastoma patients.
In this study, a deep learning pipeline is designed for automatic prediction of MGMT status in 87 glioblastoma patients with contrast-enhanced T1W images and 66 with fluid-attenuated inversion recovery(FLAIR) images.
The end-to-end pipeline completes both tumor segmentation and status classification.
The better tumor segmentation performance comes from FLAIR images (Dice score, 0.897±0.007) compared to contrast-enhanced T1WI (Dice score, 0.828±0.108), and the better status prediction is also from the FLAIR images (accuracy, 0.827±0.056; recall, 0.852±0.080; precision, 0.821±0.022; and F1 score, 0.836±0.072).
This proposed pipeline not only saves the time in tumor annotation and avoids interrater variability in glioma segmentation but also achieves good prediction of MGMT methylation status.
It would help find molecular biomarkers from routine medical images and further facilitate treatment planning.
American Psychological Association (APA)
Chen, Xin& Zeng, Min& Tong, Yichen& Zhang, Tianjing& Fu, Yan& Li, Haixia…[et al.]. 2020. Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1138038
Modern Language Association (MLA)
Chen, Xin…[et al.]. Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. BioMed Research International No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1138038
American Medical Association (AMA)
Chen, Xin& Zeng, Min& Tong, Yichen& Zhang, Tianjing& Fu, Yan& Li, Haixia…[et al.]. Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1138038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138038