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Articles Published Processes
1/26/2016 5:36:00 PM | Browse: 931 | Download: 1569
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Received |
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2015-06-30 08:53 |
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Peer-Review Started |
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2015-07-04 19:39 |
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To Make the First Decision |
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2015-09-16 09:12 |
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Return for Revision |
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2015-09-22 17:10 |
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Revised |
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2015-09-24 23:10 |
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Second Decision |
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2015-11-09 11:01 |
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Accepted by Journal Editor-in-Chief |
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2015-11-09 21:14 |
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Accepted by Company Editor-in-Chief |
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2015-11-25 16:01 |
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Articles in Press |
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2015-11-25 16:01 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2016-01-16 21:23 |
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Publish the Manuscript Online |
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2016-01-26 17:37 |
| 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/
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| Copyright |
© The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| 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 |
Retrospective Study |
| Article Title |
Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Jacobus FA Jansen, Yonggang Lu, Gaorav Gupta, Nancy Y Lee, Hilda E Stambuk, Yousef Mazaheri, Joseph O Deasy and Amita Shukla-Dave |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Cancer Institute/National Institutes of Health |
1 R01 CA115895 |
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| Corresponding Author |
Amita Shukla-Dave, PhD, Director Quantitative Imaging, Associate Attending Physicist, Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065,
United States. davea@mskcc.org
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| Key Words |
Tumor heterogeneity; Dynamic contrast-enhanced magnetic resonance imaging; Image texture analysis; Head and neck squamous cell carcinomas |
| Core Tip |
Head and neck squamous cell carcinoma (HNSCC) is a major form of cancer that still kills many cancer patients, and patients would certainly benefit with improved imaging methodology. The merits of texture analysis were investigated on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging as imaging biomarkers for the prediction of treatment response in patients with HNSCC, undergoing chemo-radiation treatment. Texture analysis revealed that the imaging biomarker energy of parameter ve was significantly higher in intra-treatment scans, relative to pretreatment scans. This indicates that chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors. |
| Publish Date |
2016-01-26 17:37 |
| Citation |
Jansen JFA, Lu Y, Gupta G, Lee NY, Stambuk HE, Mazaheri Y, Deasy JO, Shukla-Dave A. Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer. World J Radiol 2016; 8(1): 90-97 |
| URL |
http://www.wjgnet.com/1949-8470/full/v8/i1/90.htm |
| DOI |
http://dx.doi.org/10.4329/wjr.v8.i1.90 |
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