Dong, Fei
Li, Qian http://orcid.org/0000-0002-6581-7199
Jiang, Biao
Zhu, Xiuliang
Zeng, Qiang
Huang, Peiyu
Chen, Shujun
Zhang, Minming
Funding for this research was provided by:
Medicine and Health Scientific and Technological Program of the Health Department of Zhejiang province, China (2017KY374)
the National Natural Science Foundation of China (81801654)
Article History
Received: 17 April 2019
Revised: 11 August 2019
Accepted: 13 September 2019
First Online: 31 January 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Minming Zhang.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: No complex statistical methods were necessary for this paper.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported in our previous studies:Some glioblastoma cases were used in our previous studies, however, the purpose and the main methods were very different from the current study. For the previous studies, we mainly use the MR data to predict the status of EGFR gene amplification in GBM with morphological features and radiomic features. The previous papers are list as follows:1. Dong F, Li Q, Jiang B, Zeng Q, Hua J, Zhang M. Quantitative analysis of enhanced MRI features for predicting epidermal growth factor receptor gene amplification in glioblastoma multiforme with radiomic method. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2017 May 25;46(5):492–497.2. Dong F, Zeng Q, Jiang B, Yu X, Wang W, Xu J, Yu J, Li Q, Zhang M. Predicting epidermal growth factor receptor gene amplification status in glioblastoma multiforme by quantitative enhancement and necrosis features deriving from conventional magnetic resonance imaging. Medicine (Baltimore). 2018 May;97(21):e10833. ExternalRef removed.
: • retrospective• diagnostic or prognostic study• performed at one institution