Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia

Silje Kjærnes Øen1, Thomas Morten Keil2, Erik Magnus Berntsen3,2

  • 1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Postbox 8905, N-7491, Trondheim, Norway. silje.k.oen@ntnu.no.

EJNMMI Research
|August 26, 2019
PubMed
Abstract

Insights

MRI-based attenuation correction (MRAC) methods show promise for dementia diagnosis using [18F]FDG PET/MRI. The DixonBone MRAC method is recommended for clinical use, but requires visual inspection for artifacts to ensure accurate dementia assessment.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Radiology

Background:

  • Positron emission tomography/magnetic resonance imaging (PET/MRI) integrates PET's functional data with MRI's anatomical detail.
  • [18F]FDG PET provides crucial metabolic information for dementia diagnosis, complementing MRI.
  • Accurate attenuation correction (AC) is vital for quantitative PET imaging within a hybrid PET/MRI framework.

Purpose of the Study:

  • To evaluate the impact of various MRI-based attenuation correction (MRAC) methods on the diagnostic accuracy of dementia assessment using [18F]FDG PET.
  • To compare the quantitative differences in [18F]FDG uptake and z-scores between different MRAC techniques and CT-based AC (CTAC).
  • To assess the diagnostic agreement of visual evaluations performed with different MRAC methods, with and without integrated MRI information.

Main Methods:

  • Quantitative analysis of [18F]FDG uptake and z-scores using five MRAC methods (DixonNoBone, DixonBone, UTE, UCL, DeepUTE) compared to CTAC.
  • Visual diagnostic assessment by nuclear medicine physicians and a neuroradiologist using PET/CT and PET/MRI data reconstructed with different MRAC techniques.
  • Comparison of pons and cerebellum as reference regions for PET data normalization.

Main Results:

  • MRAC methods, particularly DeepUTE and UCL, demonstrated minimal mean absolute differences in z-scores compared to CTAC when using the cerebellum as a reference region.
  • Visual diagnoses using PET/MRI with DeepUTE and UTE showed high agreement with PET/CT (74% and 70%, respectively).
  • Combined PET/CT and MRI visual assessments showed strong concordance (89%) when using DixonBone MRAC.

Conclusions:

  • Research-based MRAC methods closely approximate CTAC performance in quantitative [18F]FDG PET analysis.
  • DixonBone MRAC is the preferred clinically available method for dementia diagnosis with [18F]FDG PET/MRI due to its quantitative accuracy.
  • Visual inspection of DixonBone attenuation maps is crucial to mitigate potential artifacts and ensure reliable quantification for dementia diagnosis.

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