Publication Name	World Journal of Radiology
Manuscript ID	7307
Country	Greece

Received	2013-11-13 08:07
Peer-Review Started	2013-11-14 09:44
To Make the First Decision	2013-12-25 18:06
Return for Revision	2013-12-31 14:47
Revised	2014-01-23 20:25
Second Decision	2014-03-18 15:00
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2014-03-18 15:23
Articles in Press
Publication Fee Transferred
Edit the Manuscript by Language Editor	2014-04-09 16:08
Typeset the Manuscript	2014-04-23 08:16
Publish the Manuscript Online	2014-04-25 18:26

ISSN	1949-8470 (online)
Open Access
Copyright
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	Topic Highlights
Article Title	Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques
Manuscript Source	Invited Manuscript
All Author List	Evangelia Tsolaki, Evanthia Kousi, Patricia Svolos, Efthychia Kapsalaki, Kyriaki Theodorou, Constastine Kappas and Ioannis Tsougos
Funding Agency and Grant Number
Corresponding Author	Ioannis Tsougos, MSc, PhD, Assistant Professor in Medical Physics Department, University of Thessaly, Panepistimiou 2, Biopolis, 41110 Larissa, Greece. tsougos@med.uth.gr
Key Words	Decision support systems; Magnetic resonance imaging; Magnetic resonance spectroscopy; Diffusion weighted imaging; Diffusion tensor imaging; Perfusion weighted imaging; Pattern recognition
Core Tip	The quantification of the imaging profile of brain neoplasms by combining conventional magnetic resonance imaging and advanced imaging techniques introduces critical underlying pathophysiological information which seems to be the key to success. Thus, it is evident that the pursuit of this goal should be oriented towards the development of decision support software that will utilize large amounts of clinical data with extremely significant diagnostic value which often remain unexploited, hence resulting in a more valid and precise method of differential diagnosis and the selection of the most successful treatment scheme.
Publish Date	2014-04-25 18:26
Citation	Tsolaki E, Kousi E, Svolos P, Kapsalaki E, Theodorou K, Kappas C, Tsougos I. Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques. World J Radiol 2014; 6(4): 72-81
URL	http://www.wjgnet.com/1949-8470/full/v6/i4/72.htm
DOI	http://dx.doi.org/10.4329/wjr.v6.i4.72

Full Article (PDF)	WJR-6-72.pdf
Full Article (Word)	WJR-6-72.doc
Manuscript File	7307-Review.docx
Answering Reviewers	7307-Answering reviewers.pdf
Copyright License Agreement	7307-Copyright assignment.pdf
Peer-review Report	7307-Peer reviews.pdf
Scientific Editor Work List	7307-Scientific editor work list.doc