Reproducibility of dynamic contrast‐enhanced MRI in human muscle and tumours: comparison of quantitative and semi‐quantitative analysis
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Open Access
- 20 February 2002
- journal article
- research article
- Published by Wiley in NMR in Biomedicine
- Vol. 15 (2) , 132-142
- https://doi.org/10.1002/nbm.731
Abstract
The purpose of this study was to determine the reproducibility of dynamic contrast‐enhanced (DCE)‐MRI and compare quantitative kinetic parameters with semi‐quantitative methods, and whole region‐of‐interest (ROI) with pixel analysis. Twenty‐one patients with a range of tumour types underwent paired MRI examinations within a week, of which 16 pairs were evaluable. A proton density‐weighted image was obtained prior to a dynamic series of 30 T1‐weighted spoiled gradient echo images every 11.9 s with an intravenous bolus of gadopentetate dimeglumine given after the third baseline data point. Identical ROIs around the whole tumour and in skeletal muscle were drawn by the same observer on each pair of examinations and used for the reproducibility analysis. Semi‐quantitative parameters, gradient, enhancement and AUC (area under the curve) were derived from tissue enhancement curves. Quantitative parameters (Ktrans, kep, ve) were obtained by the application of the Tofts' model. Analysis was performed on data averaged across the whole ROI and on the median value from individual pixels within the ROI. No parameter showed a significant change between examinations. For all parameters except Ktrans, the variability was not dependent on the parameter value, so the absolute values for the size of changes needed for significance should be used for future reference rather than percentages. The size of change needed for significance in a group of 16 in tumours for Ktrans, kep and ve was −14 to +16%, ±0.20 ml/ml/min (15%) and ±1.9 ml/ml (6%), respectively (pixel analysis), and −16 to +19%, ±0.23 ml/ml/min (16%) and ±1.9 ml/ml (6%) (whole ROI analysis). For a single tumour, changes greater than −45 to +83%, ± 0.78 ml/ml/min (60%) and ± 7.6 ml/ml (24%), respectively, would be significant (pixel analysis). For gradient, enhancement and AUC the size of change needed for significance in tumours was ±0.24 (17%), ±0.05 (6%) and ±0.06 (8%), respectively for a group of 16 (pixel analysis), and ±0.96 (68%), ±0.20 (25%) and ±0.22 (32%) for individuals. In muscle, the size of change needed for significance in a group of 16 for Ktrans, kep and ve was −30 to +44%, ±0.81 ml/ml/min (61%) and ±1.7 ml/ml (13%). For gradient, enhancement and AUC it was ±0.09 (20%), ±0.02 (8%) and ±0.03 (12%). ve, enhancement and AUC are highly reproducible DCE‐MRI parameters. Ktrans, kep and gradient have greater variability, with larger changes in individuals required to be statistically significant, but are nevertheless sufficiently reproducible to detect changes greater than 14–17% in a cohort of 16 patients. Pixel analyses slightly improve reproducibility estimates and retain information about spatial heterogeneity. Reproducibility studies are recommended when treatment effects are being monitored. Copyright © 2002 John Wiley & Sons, Ltd.Keywords
This publication has 30 references indexed in Scilit:
- Assessing permeability alterations of the blood–bone marrow barrier due to total body irradiation: in vivo quantification with contrast enhanced magnetic resonance imagingBone Marrow Transplantation, 2000
- Intracranial meningeomas: Time- and dose-dependent effects of irradiation on tumor microcirculation monitored by dynamic MR imagingMagnetic Resonance Imaging, 1997
- Statistics Notes: Measurement errorBMJ, 1996
- Dynamic contrast‐enhanced MR imaging evaluation of osteosarcoma response to neoadjuvant chemotherapyJournal of Magnetic Resonance Imaging, 1995
- Evaluation of solitary pulmonary nodules with dynamic contrast-enhanced MR imaging—a promising technique?Magnetic Resonance Imaging, 1995
- Studies of Gd‐DTPA relaxivity and proton exchange rates in tissueMagnetic Resonance in Medicine, 1994
- IV. In vivo measurements of proton relaxation times in human brain, liver, and skeletal muscle: A multicenter MRI studyMagnetic Resonance Imaging, 1993
- Factor Analysis of Dynamic Magnetic Resonance Imaging in Predicting the Response of Osteosarcoma to ChemotherapyInvestigative Radiology, 1992
- Measurement of the blood‐brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental conceptsMagnetic Resonance in Medicine, 1991
- Computerized tomography brain scan tumor volume determinationsJournal of Neurosurgery, 1990