期刊
MAGNETIC RESONANCE IN MEDICINE
卷 56, 期 5, 页码 993-1000出版社
WILEY
DOI: 10.1002/mrm.21066
关键词
dynamic contrast-enhanced (DCE)-MRI; arterial input function; tracer kinetic modeling; cancer; vasculature
资金
- Medical Research Council [G0601746] Funding Source: Medline
- Medical Research Council [G0601746] Funding Source: researchfish
- MRC [G0601746] Funding Source: UKRI
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 AlFs 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.
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