The goal of this study is to examine the effect of contrast agent (CA) dose and diffusion coefficient on the estimation of vessel size index (VSI).
Materials and methods
Three groups of four participants were enrolled in this study and two different experiments were performed. Different dose of CA, namely 0.1 mmol/kg and 0.05 mmol/kg were assessed in two groups of normal subjects. Diffusion coefficient effect was assessed in the third group with high-grade glioma. Imaging included gradient echo and spin-echo DSC and DTI on a 3-T MR Scanner.
VSI estimation using half of standard dose of CA showed higher values compared to the application of standard, with a ratio of 2 for the WM and 1.5 for the GM. VSI estimates for tumor tissues (22 µm) were considerably higher compared to contra-lateral Normal-Appearing WM (NAWM, 4 µm, P < 0.01) and Normal-Appearing GM (NAGM, 8 µm, P < 0.04).
Application of standard dose for CA injection and also taking into account the effect of diffusion coefficient can lead to a better correlation of VSI with previous theoretically predicted values and improvement of individual diagnostics in tumor evaluations.
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The authors must thank the research affair of Medicine faculty of Tehran University of Medical Sciences, Medical Imaging Center of Imam Khomeini Hospital (Tehran), and all participants in this study.
This research has been supported by Tehran University of Medical Sciences, Grant number 96-03-30-36318.
Conflict of interest
There is not any conflict of interest to disclose.
The study was approved by the local committee for medical research ethics (IR.TUMS.MEDICINE.REC.1396.4153).
Written Informed consent was obtained from all participants before proceeding with the study.
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Vejdani Afkham, B., Masjoodi, S., Oghabian, M.A. et al. Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation. Magn Reson Mater Phy 32, 529–537 (2019). https://doi.org/10.1007/s10334-019-00760-4
- Contrast agent
- Dynamic susceptibility contrast
- Vessel size index
- Diffusion tensor imaging