Published February 7, 2007 | Version v1
Journal article

Reference tissue quantification of DCE-MRI data without a contrast agent calibration

  • 1. Cancer Research UK Clinical Magnetic Resonance Research Group, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5NG (United Kingdom)

Description

The quantification of dynamic contrast-enhanced (DCE) MRI data conventionally requires a conversion from signal intensity to contrast agent concentration by measuring a change in the tissue longitudinal relaxation rate, R1. In this paper, it is shown that the use of a spoiled gradient-echo acquisition sequence (optimized so that signal intensity scales linearly with contrast agent concentration) in conjunction with a reference tissue-derived vascular input function (VIF), avoids the need for the conversion to Gd-DTPA concentration. This study evaluates how to optimize such sequences and which dynamic time-series parameters are most suitable for this type of analysis. It is shown that signal difference and relative enhancement provide useful alternatives when full contrast agent quantification cannot be achieved, but that pharmacokinetic parameters derived from both contain sources of error (such as those caused by differences between reference tissue and region of interest proton density and native T1 values). It is shown in a rectal cancer study that these sources of uncertainty are smaller when using signal difference, compared with relative enhancement (15 ± 4% compared with 33 ± 4%). Both of these uncertainties are of the order of those associated with the conversion to Gd-DTPA concentration, according to literature estimates

Additional details

Identifiers

DOI
10.1088/0031-9155/52/3/004;
PII
S0031-9155(07)25617-9;

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
52
Journal Issue
3
Journal Page Range
p. 589-601
ISSN
0031-9155
CODEN
PHMBA7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38072776
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
CALIBRATION; CARCINOMAS; CONTRAST MEDIA; ERRORS; GADOLINIUM COMPOUNDS; NMR IMAGING; PROTON DENSITY; RECTUM; SIGNALS
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; DISEASES; GASTROINTESTINAL TRACT; INTESTINES; LARGE INTESTINE; NEOPLASMS; ORGANS; RARE EARTH COMPOUNDS