BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
11/30/2015 4:39:00 PM | Browse: 1008 | Download: 2171
 |
Received |
|
2015-04-20 12:47 |
|
Peer-Review Started |
|
2015-04-21 13:48 |
 |
First Decision by Editorial Office Director |
|
|
|
Return for Revision |
|
2015-06-09 10:13 |
|
Revised |
|
2015-08-13 06:02 |
|
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2015-09-28 14:39 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2015-10-13 17:47 |
|
Articles in Press |
|
2015-10-13 17:47 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2015-11-04 14:49 |
|
Publish the Manuscript Online |
|
2015-11-30 16:39 |
| ISSN |
1949-8470 (online) |
| Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Case Control Study |
| Article Title |
Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
David Cortez-Conradis, Camilo Rios, Sergio Moreno-Jimenez and Ernesto Roldan-Valadez |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Medica Sur Clinic and Foundation(In part) |
|
| MRI Unit of Medica Sur Clinic and Foundation from 2012 to 2014 |
to David Cortez-Conradis |
| MRI Unit of Medica Sur Clinic and Foundation from 2010 to April 2015 |
to Ernesto Roldan-Valadez |
|
| Corresponding Author |
Ernesto Roldan-Valadez, MD, MSc, PhD, Magnetic Resonance Unit, Medica Sur Clinic and Foundation, Puente de Piedra # 150, Col, Toriello Guerra, Deleg, Tlalpan, Mexico City CP 14050, Mexico. ernest.roldan@usa.net |
| Key Words |
Brain neoplasms; Diffusion tensor imaging; Magnetic resonance imaging; Software tools; Statistics as topic |
| Core Tip |
Diffusion tensor imaging (DTI)-derived metrics depict specific magnitudes and correlations; and significant differences between healthy brains and brains with glioblastoma multiforme (GBM). For example, only 5 bivariate correlations in GBM depicted significant very strong association: [FA-Cl (+)], [FA-q (+)], [p-AD (+)], [D-MD (+)], and [MD-RD (+)]. Among 56 pairs of correlations, only seven were significantly different. Diagnosis showed a main effect [F-value (11, 23) = 11.842, P ≤ 0.001], with a large effect size (partial eta squared = 0.850); a similar result was observed for age. This study makes a contribution to decrease the empiricism in the use of DTI parameters in brain imaging. |
| Publish Date |
2015-11-30 16:39 |
| Citation |
Cortez-Conradis D, Rios C, Moreno-Jimenez S, Roldan-Valadez E. Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study. World J Radiol 2015; 7(11): 405-414 |
| URL |
http://www.wjgnet.com/1949-8470/full/v7/i11/405.htm |
| DOI |
http://dx.doi.org/10.4329/wjr.v7.i11.405 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
