Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study.

PURPOSE To determine whether and to what degree absolute apparent diffusion coefficient (ADC) values vary between different imagers, vendors, field strengths, and intraimager conditions. MATERIALS AND METHODS Informed consent and institutional review board approval were obtained. Diffusion-weighted (DW) images with nearly identical parameters were obtained at 1.5 and 3.0 T from 12 healthy volunteers at seven institutions by using 10 magnetic resonance (MR) imagers provided by four different vendors. ADC maps were generated from isotropic DW maps, and images with a b value of 0 sec/mm(2) were generated by using in-house software. The mean pixel values for the brain tissues were calculated for evaluating the differences among coil systems, imagers, vendors, and magnetic field strengths. RESULTS The absolute ADC values of gray and white matter from the same vendor varied substantially: 4%-9% at 1.5 and 3.0 T. With the exception of one vendor, the intervendor variability at 1.5 T was as high as 7%. Moreover, there was substantial intraimager variability, up to 8%, depending on the coil systems in certain imagers. CONCLUSION There is significant variability in ADC values depending on the coil systems, imagers, vendors, and field strengths used for MR imaging. The relative ADC values may be more suitable than absolute ADC values for evaluating diffusion abnormalities in patients enrolled in multicenter acute ischemic stroke trials.

[1]  David Bonekamp,et al.  Diffusion tensor imaging in children and adolescents: Reproducibility, hemispheric, and age-related differences , 2007, NeuroImage.

[2]  Scott Hamilton,et al.  Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study , 2006, Annals of neurology.

[3]  Steven Warach,et al.  Dose Escalation of Desmoteplase for Acute Ischemic Stroke (DEDAS): Evidence of Safety and Efficacy 3 to 9 Hours After Stroke Onset , 2006, Stroke.

[4]  Juergen Hennig,et al.  Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars , 2006, European Radiology.

[5]  Mark W Parsons,et al.  Apparent Diffusion Coefficient Thresholds Do Not Predict the Response to Acute Stroke Thrombolysis , 2005, Stroke.

[6]  P. Barber,et al.  Refining the Perfusion—Diffusion Mismatch Hypothesis , 2005, Stroke.

[7]  Maolin Qiu,et al.  In vivo method for correcting transmit/receive nonuniformities with phased array coils , 2005, Magnetic resonance in medicine.

[8]  C. Kuhl,et al.  Sensitivity encoding for diffusion-weighted MR imaging at 3.0 T: intraindividual comparative study. , 2005, Radiology.

[9]  P. Adeleine,et al.  Clinical and imaging predictors of intracerebral haemorrhage in stroke patients treated with intravenous tissue plasminogen activator , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[10]  S. Warach,et al.  The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): A Phase II MRI-Based 9-Hour Window Acute Stroke Thrombolysis Trial With Intravenous Desmoteplase , 2005, Stroke.

[11]  C. Weiller,et al.  Are There Time-Dependent Differences in Diffusion and Perfusion Within the First 6 Hours After Stroke Onset? , 2004, Stroke.

[12]  P. Boesiger,et al.  SENSE‐DTI at 3 T , 2004, Magnetic resonance in medicine.

[13]  Gottfried Schlaug,et al.  Predictors of Hemorrhagic Transformation After Intravenous Recombinant Tissue Plasminogen Activator: Prognostic Value of the Initial Apparent Diffusion Coefficient and Diffusion-Weighted Lesion Volume , 2002, Stroke.

[14]  Haruyasu Yamada,et al.  Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis , 2002, Neurobiology of Aging.

[15]  S M Davis,et al.  The value of apparent diffusion coefficient maps in early cerebral ischemia. , 2001, AJNR. American journal of neuroradiology.

[16]  M S Buchsbaum,et al.  Regional and global changes in cerebral diffusion with normal aging. , 2001, AJNR. American journal of neuroradiology.

[17]  R. Gonzalez,et al.  Diffusion-weighted MR imaging of the brain. , 2000, Radiology.

[18]  Y. Samson,et al.  Prediction of Malignant Middle Cerebral Artery Infarction by Diffusion-Weighted Imaging , 2000, Stroke.

[19]  P. V. van Zijl,et al.  MR diffusion imaging in stroke: review and controversies. , 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

[20]  A. Elster,et al.  Calculation of apparent diffusion coefficients (ADCs) in brain using two-point and six-point methods. , 1998, Journal of computer assisted tomography.

[21]  J W Murakami,et al.  Intensity correction of phased‐array surface coil images , 1996, Magnetic resonance in medicine.