Volume 22, Issue 2 pp. 132-136
Research Article

In vivo correlation between semi-quantitative hemodynamic parameters and Ktrans derived from DCE-MRI of brain tumors

Chen Chih-Feng

Chen Chih-Feng

Department of Diagnostic Radiology, Chang Gung Memorial Hospital, ChiaYi Branch, College of Medicine and School of Medical Technology, ChiaYi, Taiwan

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Hsu Ling-Wei

Hsu Ling-Wei

Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

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Lui Chun-Chung

Lui Chun-Chung

Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Lee Chen-Chang

Lee Chen-Chang

Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Weng Hsu-Huei

Weng Hsu-Huei

Department of Diagnostic Radiology, Chang Gung Memorial Hospital, ChiaYi Branch, College of Medicine and School of Medical Technology, ChiaYi, Taiwan

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Tsai Yuan-Hsiung

Tsai Yuan-Hsiung

Department of Diagnostic Radiology, Chang Gung Memorial Hospital, ChiaYi Branch, College of Medicine and School of Medical Technology, ChiaYi, Taiwan

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Liu Ho-Ling

Corresponding Author

Liu Ho-Ling

Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, TaiwanSearch for more papers by this author
First published: 12 May 2012
Citations: 7

Abstract

Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) has become more and more widely applied in cancer diagnosis and treatment follow-up. Without complicated calculation, a semiquantitative parameter – modified initial area under the curve (mIAUCc) – was proposed for better correlation with volume transfer constant (Ktrans) by computer simulation. In this study, we aim to further investigate the correlation between mIAUCc and Ktrans in clinical. A total of 10 patients with brain tumors participated in this study and images were acquired by using a 3-Tesla clinical MR scanner. The results showed that mIAUCc was highly correlated with Ktrans with the correlation coefficient of 0.913. Although the ideals of Ktrans and mIAUCc are different, mIAUCc does the trick for brain tumors evaluations in DCE-MRI. It reveals that mIAUCc could be an alternative for physiological condition evaluation in DCE-MRI. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 132–136, 2012

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