ZTE MR-based attenuation correction in brain FDG-PET/MR: performance in patients with cognitive impairment.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 22 05 2019
accepted: 15 10 2019
revised: 28 08 2019
pubmed: 22 11 2019
medline: 8 9 2020
entrez: 22 11 2019
Statut: ppublish

Résumé

One of the main challenges of integrated PET/MR is to achieve an accurate PET attenuation correction (AC), especially in brain acquisition. Here, we evaluated an AC method based on zero echo time (ZTE) MRI, comparing it with the single-atlas AC method and CT-based AC, set as reference. Fifty patients (70 ± 11 years old, 28 men) underwent FDG-PET/MR examination (SIGNA PET/MR 3.0 T, GE Healthcare) as part of the investigation of suspected dementia. They all had brain computed tomography (CT), 2-point LAVA-flex MRI (for atlas-based AC), and ZTE-MRI. Two AC methods were compared with CT-based AC (CTAC): one based on a single atlas, one based on ZTE segmentation. Impact on brain metabolism was evaluated using voxel and volumes of interest-based analyses. The impact of AC was also evaluated through comparisons between two subgroups of patients extracted from the whole population: 15 patients with mild cognitive impairment and normal metabolic pattern, and 22 others with metabolic pattern suggestive of Alzheimer disease, using SPM12 software. ZTE-AC yielded a lower bias (3.6 ± 3.2%) than the atlas method (4.5 ± 6.1%) and lowest interindividual (4.6% versus 6.8%) and inter-regional (1.4% versus 2.6%) variabilities. Atlas-AC resulted in metabolism overestimation in cortical regions near the vertex and cerebellum underestimation. ZTE-AC yielded a moderate metabolic underestimation mainly in the occipital cortex and cerebellum. Voxel-wise comparison between the two subgroups of patients showed that significant difference clusters had a slightly smaller size but similar locations with PET images corrected with ZTE-AC compared with those corrected with CT ZTE-AC performed better than atlas-AC in detecting pathologic areas in suspected neurodegenerative dementia. • The ZTE-based AC improved the accuracy of the metabolism quantification in PET compared with the atlas-AC method. • The overall uptake bias was 21% lower when using ZTE-based AC compared with the atlas-AC method. • ZTE-AC performed better than atlas-AC in detecting pathologic areas in suspected neurodegenerative dementia.

Identifiants

pubmed: 31748857
doi: 10.1007/s00330-019-06514-z
pii: 10.1007/s00330-019-06514-z
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1770-1779

Références

Neuroimage. 2017 Feb 15;147:346-359
pubmed: 27988322
Magn Reson Med. 2018 Oct;80(4):1440-1451
pubmed: 29457287
J Nucl Med. 2018 May;59(5):852-858
pubmed: 29084824
Neuroimage. 2002 Jan;15(1):273-89
pubmed: 11771995
J Nucl Med. 2019 Nov;60(11):1649-1655
pubmed: 30979823
Semin Nucl Med. 2015 May;45(3):224-33
pubmed: 25841277
PET Clin. 2016 Apr;11(2):151-60
pubmed: 26952728
Med Image Anal. 2001 Jun;5(2):143-56
pubmed: 11516708
Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2746-2759
pubmed: 31264170
Neuroimage. 2018 Nov 1;181:403-413
pubmed: 30010010
Phys Med Biol. 2017 Sep 21;62(19):7814-7832
pubmed: 28837045
Med Phys. 2006 Apr;33(4):976-83
pubmed: 16696474
J Nucl Med. 2018 Oct;59(10):1624-1629
pubmed: 29449446
EJNMMI Phys. 2018 Oct 22;5(1):20
pubmed: 30345471
J Nucl Med. 2016 Dec;57(12):1927-1932
pubmed: 27339875
Psychiatry Res. 2008 Nov 30;164(2):143-53
pubmed: 18930634
J Nucl Med. 2016 Feb;57(2):215-20
pubmed: 26493207
J Nucl Med. 2017 Nov;58(11):1873-1879
pubmed: 28473594
Front Neurosci. 2019 Jan 07;12:1005
pubmed: 30666184
IEEE Trans Med Imaging. 2014 Dec;33(12):2332-41
pubmed: 25055381
Radiol Clin North Am. 2004 Nov;42(6):1017-32, vii
pubmed: 15488555
J Nucl Med. 2016 Aug;57(8):1258-64
pubmed: 27013697
Magn Reson Med. 2016 Jan;75(1):107-14
pubmed: 25639956
IEEE Trans Med Imaging. 2010 Jun;29(6):1310-20
pubmed: 20378467
Eur J Nucl Med Mol Imaging. 2002 Jul;29(7):922-7
pubmed: 12111133
J Nucl Med. 2015 Mar;56(3):417-22
pubmed: 25678489

Auteurs

Brian Sgard (B)

Department of Nuclear Medicine, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, 75013, APHP, Paris, France. sgardbrian@gmail.com.
Laboratoire d'Imagerie Biomédicale (LIB), Sorbonne Université, CNRS, INSERM, 75006, Paris, France. sgardbrian@gmail.com.

Maya Khalifé (M)

Centre de NeuroImagerie de Recherche (CENIR), Institut du Cerveau et de la Moelle épinière (ICM), Paris, France.

Arthur Bouchut (A)

Centre de NeuroImagerie de Recherche (CENIR), Institut du Cerveau et de la Moelle épinière (ICM), Paris, France.

Brice Fernandez (B)

Applications and Workflow, GE Healthcare, Orsay, France.

Marine Soret (M)

Department of Nuclear Medicine, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, 75013, APHP, Paris, France.
Laboratoire d'Imagerie Biomédicale (LIB), Sorbonne Université, CNRS, INSERM, 75006, Paris, France.

Alain Giron (A)

Laboratoire d'Imagerie Biomédicale (LIB), Sorbonne Université, CNRS, INSERM, 75006, Paris, France.

Clara Zaslavsky (C)

Department of Biophysics, Sorbonne Université, 75013, Paris, France.

Gaspar Delso (G)

Applications and Workflow, GE Healthcare, Cambridge, UK.

Marie-Odile Habert (MO)

Department of Nuclear Medicine, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, 75013, APHP, Paris, France.
Laboratoire d'Imagerie Biomédicale (LIB), Sorbonne Université, CNRS, INSERM, 75006, Paris, France.

Aurélie Kas (A)

Department of Nuclear Medicine, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, 75013, APHP, Paris, France.
Laboratoire d'Imagerie Biomédicale (LIB), Sorbonne Université, CNRS, INSERM, 75006, Paris, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH