A novel semiautomated method for background activity and biological tumour volume definition to improve standardisation of

18F-FET PET Background activity Glioma Method standardisation PET imaging

Journal

EJNMMI physics
ISSN: 2197-7364
Titre abrégé: EJNMMI Phys
Pays: Germany
ID NLM: 101658952

Informations de publication

Date de publication:
05 Feb 2022
Historique:
received: 29 07 2021
accepted: 24 01 2022
entrez: 5 2 2022
pubmed: 6 2 2022
medline: 6 2 2022
Statut: epublish

Résumé

Multicentre clinical trials evaluating the role of Compared to the gCS method, the MI method showed significantly lower intra- and inter-reader variability both in background activity and in BTV definition. The proposed semiautomated MI method minimises intra- and inter-reader variability, providing a valuable approach for standardisation of

Sections du résumé

BACKGROUND BACKGROUND
Multicentre clinical trials evaluating the role of
RESULTS RESULTS
Compared to the gCS method, the MI method showed significantly lower intra- and inter-reader variability both in background activity and in BTV definition.
CONCLUSIONS CONCLUSIONS
The proposed semiautomated MI method minimises intra- and inter-reader variability, providing a valuable approach for standardisation of

Identifiants

pubmed: 35122529
doi: 10.1186/s40658-022-00438-2
pii: 10.1186/s40658-022-00438-2
pmc: PMC8818070
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9

Subventions

Organisme : national health and medical research council
ID : APP1132471
Organisme : national health and medical research council
ID : APP1194004
Organisme : cancer institute nsw
ID : 2019/ECF1015
Organisme : commonwealth scientific and industrial research organisation
ID : Probing Biosystems Future Science Platform

Informations de copyright

© 2022. The Author(s).

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Auteurs

Caterina Brighi (C)

ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. caterina.brighi@sydney.edu.au.

Simon Puttick (S)

Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organization, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Shenpeng Li (S)

Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organization, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Paul Keall (P)

ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Katherine Neville (K)

GenesisCare, Newcastle, Australia.

David Waddington (D)

ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Pierrick Bourgeat (P)

Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organization, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Ashley Gillman (A)

Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organization, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Michael Fay (M)

GenesisCare, Newcastle, Australia.
School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia.

Classifications MeSH