Comparison of dynamic contrast‐enhanced MRI and dynamic contrast‐enhanced CT biomarkers in bladder cancer

Dynamic contrast‐enhanced MRI (DCE‐MRI) is frequently used to provide response biomarkers in clinical trials of novel cancer therapeutics but assessment of their physiological accuracy is difficult. DCE‐CT provides an independent probe of similar pharmacokinetic processes and may be modeled in the same way as DCE‐MRI to provide purportedly equivalent physiological parameters. In this study, DCE‐MRI and DCE‐CT were directly compared in subjects with primary bladder cancer to assess the degree to which the model parameters report modeled physiology rather than artefacts of the measurement technique and to determine the interchangeability of the techniques in a clinical trial setting. The biomarker Ktrans obtained by fitting an extended version of the Kety model voxelwise to both DCE‐MRI and DCE‐CT data was in excellent agreement (mean across subjects was 0.085 ± 0.030 min−1 for DCE‐MRI and 0.087 ± 0.033 min−1 for DCE‐CT, intermodality coefficient of variation 9%). The parameter vp derived from DCE‐CT was significantly greater than that derived from DCE‐MRI (0.018 ± 0.006 compared to 0.009 ± 0.008, P = 0.0007) and ve was in reasonable agreement only for low values. The study provides evidence that the biomarker Ktrans is a robust parameter indicative of the underlying physiology and relatively independent of the method of measurement. Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.

[1]  L. Bains,et al.  Tracer kinetic analysis of dynamic contrast‐enhanced MRI and CT bladder cancer data: A preliminary comparison to assess the magnitude of water exchange effects , 2010, Magnetic resonance in medicine.

[2]  P. Lambin,et al.  Comparison between perfusion computed tomography and dynamic contrast-enhanced magnetic resonance imaging in rectal cancer. , 2010, International journal of radiation oncology, biology, physics.

[3]  M. Bellomi,et al.  Perfusion CT in solid body-tumours part II. Clinical applications and future development , 2010, La radiologia medica.

[4]  S. Sourbron,et al.  A comparison of tracer kinetic models for T1‐weighted dynamic contrast‐enhanced MRI: Application in carcinoma of the cervix , 2010, Magnetic resonance in medicine.

[5]  C. Ng,et al.  Reproducibility of perfusion parameters in dynamic contrast-enhanced MRI of lung and liver tumors: effect on estimates of patient sample size in clinical trials and on individual patient responses. , 2010, AJR. American journal of roentgenology.

[6]  D L Buckley,et al.  Enhancing fraction measured using dynamic contrast-enhanced MRI predicts disease-free survival in patients with carcinoma of the cervix , 2009, British Journal of Cancer.

[7]  Kevin Harrington,et al.  An exploratory study into the role of dynamic contrast-enhanced magnetic resonance imaging or perfusion computed tomography for detection of intratumoral hypoxia in head-and-neck cancer. , 2009, International journal of radiation oncology, biology, physics.

[8]  D. Sahani,et al.  Body perfusion CT: technique, clinical applications, and advances. , 2009, Radiologic clinics of North America.

[9]  Jagdish Singh,et al.  Iodinated Contrast Media and Their Adverse Reactions* , 2008, Journal of Nuclear Medicine Technology.

[10]  Christopher J. Taylor,et al.  A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[11]  Marie-France Bellin,et al.  Extracellular gadolinium-based contrast media: an overview. , 2008, European journal of radiology.

[12]  J. Waterton,et al.  Reproducibility and Cross-Validation of DCE-MRI and DCE-CT Perfusion Parameters in a Rat Tumor Model , 2008 .

[13]  T. Vogl,et al.  A comparison of tumour perfusion assessed by deconvolution-based analysis of dynamic contrast-enhanced CT and MR imaging in patients with squamous cell carcinoma of the upper aerodigestive tract , 2008, European Radiology.

[14]  Caleb Roberts,et al.  Enhancing Fraction Predicts Clinical Outcome following First-Line Chemotherapy in Patients with Epithelial Ovarian Carcinoma , 2007, Clinical Cancer Research.

[15]  Geoff J M Parker,et al.  Imaging Tumor Vascular Heterogeneity and Angiogenesis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging , 2007, Clinical Cancer Research.

[16]  G. Parker,et al.  DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents , 2007, British Journal of Cancer.

[17]  A. Jackson,et al.  Experimentally‐derived functional form for a population‐averaged high‐temporal‐resolution arterial input function for dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.

[18]  Geoff J M Parker,et al.  Comparison of errors associated with single‐ and multi‐bolus injection protocols in low‐temporal‐resolution dynamic contrast‐enhanced tracer kinetic analysis , 2006, Magnetic resonance in medicine.

[19]  Sophie Laurent,et al.  Comparative study of the physicochemical properties of six clinical low molecular weight gadolinium contrast agents. , 2006, Contrast media & molecular imaging.

[20]  M. Knopp,et al.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations , 2005, British Journal of Cancer.

[21]  Geoffrey J. M. Parker,et al.  Tracer Kinetic Modelling for T1-Weighted DCE-MRI , 2005 .

[22]  A. Padhani,et al.  Reproducibility of dynamic contrast‐enhanced MRI in human muscle and tumours: comparison of quantitative and semi‐quantitative analysis , 2002, NMR in biomedicine.

[23]  M V Knopp,et al.  Dynamic contrast-enhanced magnetic resonance imaging in oncology. , 2001, Topics in magnetic resonance imaging : TMRI.

[24]  M. Knopp,et al.  Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.

[25]  P. Tofts,et al.  Accurate and precise measurement of blood-retinal barrier breakdown using dynamic Gd-DTPA MRI. , 1992, Investigative ophthalmology & visual science.

[26]  A. Haase,et al.  Snapshot flash mri. applications to t1, t2, and chemical‐shift imaging , 1990, Magnetic resonance in medicine.