Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

To perform radiomics analysis for non-invasively predicting chromosome 1p/19q co-deletion in World Health Organization grade II and III (lower-grade) gliomas.

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): J. Neurooncol.

Title: Journal of neuro-oncology

Publisher: Springer Science and Business Media LLC

ISSN (Electronic): 1573-7373

ISSN (Print): 0167-594X

Publication date (Electronic): Nov 2018

Volume: 140

Issue: 2

Affiliations

[1 ] School of Life Science and Technology, Xidian University, Xi'an, 710126, China.

[2 ] Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

[3 ] Beijing Key Laboratory of Molecular Imaging, Beijing, 100190, China.

[4 ] Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

[5 ] University of Chinese Academy of Sciences, Beijing, 100049, China.

[6 ] Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA, USA.

[7 ] Department of Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantanxili, Dongcheng District, Beijing, 100050, China.

[8 ] Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. di.dong@ia.ac.cn.

[9 ] Beijing Key Laboratory of Molecular Imaging, Beijing, 100190, China. di.dong@ia.ac.cn.

[10 ] University of Chinese Academy of Sciences, Beijing, 100049, China. di.dong@ia.ac.cn.

[11 ] Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. tian@ieee.org.

[12 ] Beijing Key Laboratory of Molecular Imaging, Beijing, 100190, China. tian@ieee.org.

[13 ] The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. tian@ieee.org.

[14 ] University of Chinese Academy of Sciences, Beijing, 100049, China. tian@ieee.org.

[15 ] Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China. dabiaozhou@163.com.

[16 ] China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China. dabiaozhou@163.com.

Article

Publisher Item ID: 10.1007/s11060-018-2953-y

DOI: 10.1007/s11060-018-2953-y

PubMed ID: 30097822

SO-VID: 2d1174c4-71c3-40c8-9c91-6e4bfc01afa0

History

Keywords: Prediction,Magnetic resonance imaging,Lower-grade glioma,1p/19q Co-deletion,Radiomics

Data availability:

Keywords: Prediction, Magnetic resonance imaging, Lower-grade glioma, 1p/19q Co-deletion, Radiomics

Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.

Read this article at

Abstract

Related collections

Karger: Neurology and Neuroscience

Author and article information

Journal

Affiliations

Article

History

Comments

Comment on this article

Similar content 2

Cited by 34