A pilot study on lung cancer detection based on regional metabolic activity distribution in digital low-dose 18F-FDG PET.
Journal
The British journal of radiology
ISSN: 1748-880X
Titre abrégé: Br J Radiol
Pays: England
ID NLM: 0373125
Informations de publication
Date de publication:
01 Mar 2021
01 Mar 2021
Historique:
pubmed:
3
2
2021
medline:
4
3
2021
entrez:
2
2
2021
Statut:
ppublish
Résumé
To investigate the potential of automatic lung cancer detection on submillisievert dose We performed a retrospective cohort analysis with 83 patients referred for The T-statistics showed that SUV This pilot study indicates that segment-based, quantitative PET parameters of low-dose PET reconstructions could be used to automatically detect lung cancer with high sensitivity. Automated assessment of PET parameters in low-dose PET may aid for an early detection of lung cancer.
Identifiants
pubmed: 33529052
doi: 10.1259/bjr.20200244
pmc: PMC8011269
doi:
Substances chimiques
Radiopharmaceuticals
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
20200244Références
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