Evidence map›Paper›PMID 33324141›Full record

ArticleFrontiers in neuroscience2020

Zero Echo Time MRAC on FDG-PET/MR Maintains Diagnostic Accuracy for Alzheimer's Disease; A Simulation Study Combining ADNI-Data.

Takahiro Ando, Bradley Kemp, Geoffrey Warnock, Tetsuro Sekine, Sandeep Kaushik, Florian Wiesinger, Gaspar Delso

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Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Takahiro AndoDepartment of Radiology, Nippon Medical School, Tokyo, Japan.
Bradley KempDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Geoffrey WarnockInstitute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.
Tetsuro SekineDepartment of Radiology, Nippon Medical School, Tokyo, Japan.
Sandeep KaushikGE Healthcare, Waukesha, WI, United States.
Florian WiesingerGE Healthcare, Waukesha, WI, United States.
Gaspar DelsoGE Healthcare, Waukesha, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAttenuation correction using zero-echo time (ZTE) - magnetic resonance imaging (MRI) (ZTE-MRAC) has become one of the standard methods for brain-positron emission tomography (PET) on commercial PET/MR scanners. Although the accuracy of the net tracer-uptake quantification based on ZTE-MRAC has been validated, that of the diagnosis for dementia has not yet been clarified, especially in terms of automated statistical analysis. The aim of this study was to clarify the impact of ZTE-MRAC on the diagnosis of Alzheimer's disease (AD) by performing simulation study.

methodsWe recruited 27 subjects, who underwent both PET/computed tomography (CT) and PET/MR (GE SIGNA) examinations. Additionally, we extracted 107 subjects from the Alzheimer Disease Neuroimaging Initiative (ADNI) dataset. From the PET raw data acquired on PET/MR, three FDG-PET series were generated, using two vendor-provided MRAC methods (ZTE and Atlas) and CT-based AC. Following spatial normalization to Montreal Neurological Institute (MNI) space, we calculated each patient's specific error maps, which correspond to the difference between the PET image corrected using the CTAC method and the PET images corrected using the MRAC methods. To simulate PET maps as if ADNI data had been corrected using MRAC methods, we multiplied each of these 27 error maps with each of the 107 ADNI cases in MNI space. To evaluate the probability of AD in each resulting image, we calculated a cumulative

resultsPositron emission tomography score was slightly underestimated both in ZTE and Atlas group compared with reference CTAC (-0.0796 ± 0.0938 vs. -0.0784 ± 0.1724). The absolute error of PET score was lower in ZTE than Atlas group (0.098 ± 0.075 vs. 0.145 ± 0.122,

conclusionFor FDG-PET images on PET/MR, attenuation correction using ZTE-MRI had superior accuracy to an atlas-based method in classification for dementia. ZTE maintains the diagnostic accuracy for AD.

Indexed as

ADNI databaseAlzheimer’s diseaseatlas-based MRACattenuation correctiondementiaPET/MRstatistical analysisZTE MRI

Identifiers

PMID33324141
PMCPMC7725704

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