Chu, Jian-ping
Song, Yu-kun
Tian, Yi-su
Qiu, Hai-shan
Huang, Xia-hua
Wang, Yu-liang
Huang, Ying-qian
Zhao, Jing https://orcid.org/0000-0002-9270-3250
Funding for this research was provided by:
Natural Science Foundation of Guangdong Province (2017A030313676)
Article History
Received: 29 February 2020
Revised: 5 July 2020
Accepted: 18 August 2020
First Online: 28 August 2020
Compliance with ethical standards
:
: The scientific guarantors of this publication are Zhao Jing and Chu Jian-ping.
: 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.
: One of the authors has significant statistical expertise.
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained in The First Affiliated Hospital of Sun Yat-sen University.
: Some study subjects have been previously reported in <i>Zhao J, Wang YL, Li XB,</i> et al <i>(2019) Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status. J Neurooncol 141(1):195–203.</i>All these patients belonged to the same prospective study cohort. Fifty-two patients were overlapped with the last published study. However, these two studies had different research purposes and different analysis methods.The previous study mainly focused on the comparative analysis of the two different advanced diffusion techniques (diffusion kurtosis imaging and diffusion tensor imaging) in grading gliomas and predicting tumor cell proliferation and <i>IDH-1</i> gene mutation status, whereas this submitted paper was going to find an effective way to process DKI data, which turned out that DKI based on the ROI-10 spots method had the least time spent, the best diagnostic value for a comprehensive evaluation of glioma.
: • prospective• diagnostic or prognostic study• performed at one institution