Early stopping in clinical PET studies: How to reduce expense and exposure.


Journal

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
ISSN: 1559-7016
Titre abrégé: J Cereb Blood Flow Metab
Pays: United States
ID NLM: 8112566

Informations de publication

Date de publication:
11 2021
Historique:
pubmed: 22 5 2021
medline: 18 12 2021
entrez: 21 5 2021
Statut: ppublish

Résumé

Clinical positron emission tomography (PET) research is costly and entails exposing participants to radioactivity. Researchers should therefore aim to include just the number of subjects needed to fulfill the purpose of the study. In this tutorial we show how to apply

Identifiants

pubmed: 34018825
doi: 10.1177/0271678X211017796
pmc: PMC8545054
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2805-2819

Références

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Auteurs

Jonas E Svensson (JE)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden.

Martin Schain (M)

Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.

Gitte M Knudsen (GM)

Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.
Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

R Todd Ogden (RT)

Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Molecular Imaging and Neuropathology Area, New York State Psychiatric Institute, New York, NY, USA.

Pontus Plavén-Sigray (P)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden.
Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.

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Classifications MeSH