Back to Search Start Over

Methods to delineate tumour for radiotherapy by fluorodeoxyglucose positron emission tomography

Authors :
Isabelle Gardin
Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS)
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS)
Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie)
Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN)
Normandie Université (NU)-Université Le Havre Normandie (ULH)
Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie)
Normandie Université (NU)
Service de médecine nucléaire [Rouen]
CRLCC Haute Normandie-Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel)
Source :
Cancer Radiothérapie, Cancer Radiothérapie, Elsevier Masson, 2020, 24 (5), pp.418-422. ⟨10.1016/j.canrad.2020.04.008⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; Numerous articles have been published showing the interest to delineate tumours using fluorodeoxyglucose positron emission tomography/computed tomography images in radiotherapy planning. This imaging is used to identify tumour tissues with increased glucose metabolism compared to healthy surrounding tissues. This volume corresponds to the metabolic tumour volume. Despite extensive research on metabolic tumour volume segmentation methods, there is currently no consensus on the optimal segmentation method to use. In this review, the main methods proposed in the literature are presented, as well as their advantages and disadvantages in the context of radiotherapy.

Details

Language :
English
ISSN :
12783218
Database :
OpenAIRE
Journal :
Cancer Radiothérapie, Cancer Radiothérapie, Elsevier Masson, 2020, 24 (5), pp.418-422. ⟨10.1016/j.canrad.2020.04.008⟩
Accession number :
edsair.doi.dedup.....1efe2895f9c0e6ccf7cf1b6ecebe11f7