Analytical quantification of aortic valve 18F-sodium fluoride PET uptake.


Journal

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
ISSN: 1532-6551
Titre abrégé: J Nucl Cardiol
Pays: United States
ID NLM: 9423534

Informations de publication

Date de publication:
06 2020
Historique:
received: 01 10 2018
accepted: 07 11 2018
pubmed: 1 12 2018
medline: 31 8 2021
entrez: 1 12 2018
Statut: ppublish

Résumé

Challenges to cardiac PET-CT include patient motion, prolonged image acquisition and a reduction of counts due to gating. We compared two analytical tools, FusionQuant and OsiriX, for quantification of gated cardiac 18F-sodium fluoride (18F-fluoride) PET-CT imaging. Twenty-seven patients with aortic stenosis were included, 15 of whom underwent repeated imaging 4 weeks apart. Agreement between analytical tools and scan-rescan reproducibility was determined using the Bland-Altman method and Lin's concordance correlation coefficients (CCC). Image analysis was faster with FusionQuant [median time (IQR) 7:10 (6:40-8:20) minutes] compared with OsiriX [8:30 (8:00-10:10) minutes, p = .002]. Agreement of uptake measurements between programs was excellent, CCC = 0.972 (95% CI 0.949-0.995) for mean tissue-to-background ratio (TBR 18F-fluoride PET quantification with FusionQuant and OsiriX is comparable. FusionQuant with motion correction offers advantages with respect to analysis time and reproducibility of TBR

Sections du résumé

BACKGROUND
Challenges to cardiac PET-CT include patient motion, prolonged image acquisition and a reduction of counts due to gating. We compared two analytical tools, FusionQuant and OsiriX, for quantification of gated cardiac 18F-sodium fluoride (18F-fluoride) PET-CT imaging.
METHODS
Twenty-seven patients with aortic stenosis were included, 15 of whom underwent repeated imaging 4 weeks apart. Agreement between analytical tools and scan-rescan reproducibility was determined using the Bland-Altman method and Lin's concordance correlation coefficients (CCC).
RESULTS
Image analysis was faster with FusionQuant [median time (IQR) 7:10 (6:40-8:20) minutes] compared with OsiriX [8:30 (8:00-10:10) minutes, p = .002]. Agreement of uptake measurements between programs was excellent, CCC = 0.972 (95% CI 0.949-0.995) for mean tissue-to-background ratio (TBR
CONCLUSION
18F-fluoride PET quantification with FusionQuant and OsiriX is comparable. FusionQuant with motion correction offers advantages with respect to analysis time and reproducibility of TBR

Identifiants

pubmed: 30499069
doi: 10.1007/s12350-018-01542-6
pii: 10.1007/s12350-018-01542-6
pmc: PMC6541558
mid: NIHMS998287
doi:

Substances chimiques

Fluorine Radioisotopes 0
Sodium Fluoride 8ZYQ1474W7
Fluorine-18 GZ5I74KB8G

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

962-972

Subventions

Organisme : British Heart Foundation
ID : FS/14/78/31020
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL135557
Pays : United States
Organisme : Wellcome Trust
ID : WT103782AIA
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/14/78
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0701127
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/09/002
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/16/19/31982
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/16/10/32375
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/17/79/33226
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RE/13/3/30183
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/09/002/26360
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

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Auteurs

Daniele Massera (D)

Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, NY, USA.

Mhairi K Doris (MK)

BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK.

Sebastien Cadet (S)

Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA.

Jacek Kwiecinski (J)

BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK.
Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA.

Tania A Pawade (TA)

BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK.

Frederique E C M Peeters (FECM)

Department of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands.

Damini Dey (D)

Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA.

David E Newby (DE)

BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK.

Marc R Dweck (MR)

BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK.

Piotr J Slomka (PJ)

Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA. piotr.slomka@cshs.org.

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Classifications MeSH