Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on
Chemoradiotherapy
/ methods
Computer Simulation
Datasets as Topic
Esophageal Neoplasms
/ diagnostic imaging
Fluorodeoxyglucose F18
/ administration & dosage
Head and Neck Neoplasms
/ diagnostic imaging
Humans
Image Processing, Computer-Assisted
/ methods
Positron Emission Tomography Computed Tomography
/ methods
Radiotherapy Planning, Computer-Assisted
/ methods
Retrospective Studies
Treatment Outcome
Tumor Burden
/ drug effects
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
17 10 2019
17 10 2019
Historique:
received:
07
12
2018
accepted:
19
09
2019
entrez:
19
10
2019
pubmed:
19
10
2019
medline:
11
11
2020
Statut:
epublish
Résumé
Our aim was to evaluate the impact of the accuracy of image segmentation techniques on establishing an overlap between pre-treatment and post-treatment functional tumour volumes in
Identifiants
pubmed: 31624321
doi: 10.1038/s41598-019-51096-x
pii: 10.1038/s41598-019-51096-x
pmc: PMC6797734
doi:
Substances chimiques
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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