Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation-Reference-Cited by-同舟云学术

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Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation

Published:2014-07-07 Issue:9 Volume:27 Page:1046-1052
ISSN:0952-3480
Container-title:NMR in Biomedicine
language:en
Short-container-title:NMR Biomed.

Author:

Lee Jeongwon¹²,Choi Seung Hong³,Kim Ji-Hoon³,Sohn Chul-Ho³,Lee Sooyeul²,Jeong Jaeseung¹

Affiliation:

1. Department of Bio and Brain Engineering; Korea Advanced Institute of Science and Technology (KAIST); Daejeon South Korea

2. Medical Imaging Research Section; Electronics and Telecommunications Research Institute (ETRI); Daejeon South Korea

3. Department of Radiology; Seoul National University College of Medicine; Seoul South Korea

Funder

Korean Government

National IT Industry Promotion Agency

Publisher

Wiley

Subject

Spectroscopy,Radiology Nuclear Medicine and imaging,Molecular Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/nbm.3153/fullpdf

Reference45 articles.

1. High-grade malignant glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up;Stupp;Ann. Oncol.,2010

2. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging-prediction of patient clinical response;Law;Radiology,2006

3. Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging;Arvinda;J. Neuro-Oncol.,2009

4. Gliomas: histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging-correlation with tumor grade;Kang;Radiology,2011

5. Quantitative imaging biomarkers in neuro-oncology;Waldman;Nat. Rev. Clin. Oncol.,2009

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