## Abstract For clinical dynamic contrast‐enhanced (DCE) MRI studies, it is often not possible to obtain reliable arterial input function (AIF) in each measurement. Thus, it is important to find a representative AIF for pharmacokinetic modeling of DCE‐MRI data when individual AIF (Ind‐AIF) measurem
Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI
✍ Scribed by Geoff J.M. Parker; Caleb Roberts; Andrew Macdonald; Giovanni A. Buonaccorsi; Sue Cheung; David L. Buckley; Alan Jackson; Yvonne Watson; Karen Davies; Gordon C. Jayson
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 250 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0740-3194
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✦ Synopsis
Abstract
Rapid T~1~‐weighted 3D spoiled gradient‐echo (GRE) data sets were acquired in the abdomen of 23 cancer patients during a total of 113 separate visits to allow dynamic contrast‐enhanced MRI (DCE‐MRI) analysis of tumor microvasculature. The arterial input function (AIF) was measured in each patient at each visit using an automated AIF extraction method following a standardized bolus administration of gadodiamide. The AIFs for each patient were combined to obtain a mean AIF that is representative for any individual. The functional form of this general AIF may be useful for studies in which AIF measurements are not possible. Improvements in the reproducibility of DCE‐MRI model parameters (K^trans^, v~e~, and v~p~) were observed when this new, high‐temporal‐resolution population AIF was used, indicating the potential for increased sensitivity to therapy‐induced change. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.
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