Quantifying sodium [

Aneurysms Image analysis Positron emission tomography Radiotracer

Journal

EJNMMI research
ISSN: 2191-219X
Titre abrégé: EJNMMI Res
Pays: Germany
ID NLM: 101560946

Informations de publication

Date de publication:
06 Jun 2022
Historique:
received: 07 03 2022
accepted: 25 05 2022
entrez: 6 6 2022
pubmed: 7 6 2022
medline: 7 6 2022
Statut: epublish

Résumé

Aortic microcalcification activity is a recently described method of measuring aortic sodium [ Twenty-five patients with abdominal aortic aneurysms underwent an sodium [ The aortic microcalcification activity method was much quicker to perform than the TBR method (14 versus 40 min, p < 0.001). There was moderate-to-good agreement between TBR and aortic microcalcification activity measurements for maximum (interclass correlation co-efficient, 0.67) and mean (interclass correlation co-efficient, 0.88) values. These correlations sequentially improved with the application of thresholding (intraclass correlation coefficient 0.93, 95% confidence interval 0.89-0.95) and variable diameter (intraclass correlation coefficient 0.97, 95% confidence interval 0.94-0.99) techniques. The optimised method had good intra-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.36 and limits of agreement - 0.43 to 0.43) and inter-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.47 and limits of agreement - 0.53 to 0.53) repeatability. Aortic microcalcification activity is a quick and simple method which demonstrates good intra-observer and inter-observer repeatabilities and provides measures of sodium [

Sections du résumé

BACKGROUND BACKGROUND
Aortic microcalcification activity is a recently described method of measuring aortic sodium [
METHODS METHODS
Twenty-five patients with abdominal aortic aneurysms underwent an sodium [
RESULTS RESULTS
The aortic microcalcification activity method was much quicker to perform than the TBR method (14 versus 40 min, p < 0.001). There was moderate-to-good agreement between TBR and aortic microcalcification activity measurements for maximum (interclass correlation co-efficient, 0.67) and mean (interclass correlation co-efficient, 0.88) values. These correlations sequentially improved with the application of thresholding (intraclass correlation coefficient 0.93, 95% confidence interval 0.89-0.95) and variable diameter (intraclass correlation coefficient 0.97, 95% confidence interval 0.94-0.99) techniques. The optimised method had good intra-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.36 and limits of agreement - 0.43 to 0.43) and inter-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.47 and limits of agreement - 0.53 to 0.53) repeatability.
CONCLUSIONS CONCLUSIONS
Aortic microcalcification activity is a quick and simple method which demonstrates good intra-observer and inter-observer repeatabilities and provides measures of sodium [

Identifiants

pubmed: 35666397
doi: 10.1186/s13550-022-00904-z
pii: 10.1186/s13550-022-00904-z
pmc: PMC9170850
doi:

Types de publication

Journal Article

Langues

eng

Pagination

33

Subventions

Organisme : British Heart Foundation
ID : CH/09/002/26360
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0701127
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/14/78/31020
Pays : United Kingdom
Organisme : British Heart Foundation
ID : PG/21/10461
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/ICRF/20/26002
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/18/31/33676
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

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Auteurs

Samuel Debono (S)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK. samuel.debono@ed.ac.uk.

Jennifer Nash (J)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Alexander J Fletcher (AJ)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Maaz B J Syed (MBJ)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Scott I Semple (SI)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Edwin J R van Beek (EJR)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.
Edinburgh Imaging Facility, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.

Alison Fletcher (A)

Edinburgh Imaging Facility, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.

Sebastien Cadet (S)

Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Centre, Biomedical Imaging Research Institute, Los Angeles, USA.

Michelle C Williams (MC)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Damini Dey (D)

Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Centre, Biomedical Imaging Research Institute, Los Angeles, USA.

Piotr J Slomka (PJ)

Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Centre, Biomedical Imaging Research Institute, Los Angeles, USA.

Rachael O Forsythe (RO)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Marc R Dweck (MR)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

David E Newby (DE)

The University of Edinburgh Centre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.

Classifications MeSH