Journal article

Partial-Volume Effect Correction Improves Quantitative Analysis of 18F-Florbetaben β-Amyloid PET Scans.

  • Rullmann M Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany rullmann@medizin.uni-leipzig.de.
  • Dukart J LREN, Département des Neurosciences Cliniques, CHUV, Université de Lausanne, Lausanne, Switzerland Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Hoffmann KT Department of Neuroradiology, University of Leipzig, Leipzig, Germany.
  • Luthardt J Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Tiepolt S Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Patt M Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Gertz HJ Department of Psychiatry, University of Leipzig, Leipzig, Germany.
  • Schroeter ML Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.
  • Seibyl J Molecular NeuroImaging, L.L.C., New Haven, Connecticut; and.
  • Schulz-Schaeffer WJ Department of Neuropathology, University Medical Center, Goettingen, Germany.
  • Sabri O Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Barthel H Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
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  • 2015-11-07
Published in:
  • Journal of nuclear medicine : official publication, Society of Nuclear Medicine. - 2016
English UNLABELLED
Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether partial-volume effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of (18)F-florbetaben Aβ PET.


METHODS
We analyzed (18)F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Müller-Gärtner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter volumes by voxel-based morphometry.


RESULTS
In cohort 1, PVEC increased the effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P < 0.001), and that of composite SUVR correlated with the composite gray matter volume (r = -0.75, P < 0.001). In cohort 2, PVEC increased the correlation coefficient between mesial temporal cortex SUVR and histopathology score for Aβ plaque load from 0.28 (P = 0.09) to 0.37 (P = 0.03). In cohort 3, PVEC did not affect the composite SUVR dynamics over time for the Aβ-negative subject. This finding was in contrast to the 4 Aβ-positive subjects, in 2 of whom PVEC changed the composite SUVR dynamics.


CONCLUSION
The influence of PVEC on (18)F-florbetaben PET data is associated with the degree of brain atrophy. Thus, PVEC increases the ability of (18)F-florbetaben PET to discriminate between AD patients and HCs, to detect Aβ plaques in the atrophic mesial temporal cortex, and potentially to evaluate changes in brain Aβ load over time. As such, the use of PVEC should be considered for quantitative (18)F-florbetaben PET scans, especially in assessing patients with brain atrophy.
Language
  • English
Open access status
bronze
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https://sonar.ch/global/documents/257194
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