[
Cervical cancer
Disease-free survival
Machine learning
Radiomics
[18F]FDG PET/CT
Journal
European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
received:
12
12
2020
accepted:
07
03
2021
pubmed:
28
3
2021
medline:
21
10
2021
entrez:
27
3
2021
Statut:
ppublish
Résumé
To test the performances of native and tumour to liver ratio (TLR) radiomic features extracted from pre-treatment 2-[ One hundred fifty-eight patients with LACC from multiple centers were retrospectively included in the study. Tumours were segmented using the Fuzzy Local Adaptive Bayesian (FLAB) algorithm. Radiomic features were extracted from the tumours and from regions drawn over the normal liver. Cox proportional hazard model was used to test statistical significance of clinical and radiomic features. Fivefold cross validation was used to tune the number of features. Seven different feature selection methods and four classifiers were tested. The models with the selected features were trained using bootstrapping and tested in data from each scanner independently. Reproducibility of radiomics features, clinical data added value and effect of ComBat-based harmonisation were evaluated across scanners. After a median follow-up of 23 months, 29% of the patients recurred. No individual radiomic or clinical features were significantly associated with cancer recurrence. The best model was obtained using 10 TLR features combined with clinical information. The area under the curve (AUC), F [
Identifiants
pubmed: 33772334
doi: 10.1007/s00259-021-05303-5
pii: 10.1007/s00259-021-05303-5
pmc: PMC8440288
doi:
Substances chimiques
Radiopharmaceuticals
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3432-3443Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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