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The Scientific World Journal
Volume 2014, Article ID 194925, 10 pages
http://dx.doi.org/10.1155/2014/194925
Clinical Study

Measurement of SUVs-Maximum for Normal Region Using VOI in PET/MRI and PET/CT

1Department of Radiologic Technology, Daegu Health College, Youngsong-ro 15, Buk-gu, Daegu 702-722, Republic of Korea
2Department of Therapeutic Radiology & Oncology, College of Medicine, Yeungnam University, Nam-gu, Daegu 705-717, Republic of Korea
3Department of Nuclear Medicine, College of Medicine, Yeungnam University, Nam-gu, Daegu 705-717, Republic of Korea

Received 19 August 2013; Accepted 27 November 2013; Published 4 February 2014

Academic Editors: C. Kappas and H. M. Lederman

Copyright © 2014 Jeong Kyu Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The purpose of this research is to establish an overall data set associated with the VOI (Volume of Interest), which is available for simultaneous assessment of PET/MRI and PET/CT regardless of the use of contrast media. The participants as objects of this investigation are 26 healthy examinees in Korea, SUV (standardized-uptake-value)s-maximum evaluation for whole-body F-18 FDG (fluorodeoxyglucose) PET/MRI image using VOI of normal region has exhibited very significant difference to that for whole-body F-18 FDG PET/CT image (significant probability value ). However, there appeared high correlation between them in view of statistics ( -square ). It is shown that one needs to decide SUVs-maximum for PET/MRI with the reduction of 25.0~26.4% from their evaluated value and needs to decide with the reduction of 28.8~29.4% in the same situation but with the use of contrast media. The use of -maximum ( -maximum) is very advantageous in reading overall image of PET/CT and PET/MRI to medical doctors and researchers, if we consider its convenience and efficiency. We expect that this research enhances the level of the early stage accurate diagnosis with whole-body images of PET/MRI and PET/CT.