[F18] FDG-PET/CT for manual or semiautomated GTV delineation of the primary tumor for radiation therapy planning in patients with esophageal cancer: is it useful?


Journal

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
ISSN: 1439-099X
Titre abrégé: Strahlenther Onkol
Pays: Germany
ID NLM: 8603469

Informations de publication

Date de publication:
09 2021
Historique:
received: 08 06 2020
accepted: 29 09 2020
pubmed: 27 10 2020
medline: 1 4 2022
entrez: 26 10 2020
Statut: ppublish

Résumé

Target volume definition of the primary tumor in esophageal cancer is usually based on computed tomography (CT) supported by endoscopy and/or endoscopic ultrasound and can be difficult given the low soft-tissue contrast of CT resulting in large interobserver variability. We evaluated the value of a dedicated planning [F18] FDG-Positron emission tomography/computer tomography (PET/CT) for harmonization of gross tumor volume (GTV) delineation and the feasibility of semiautomated structures for planning purposes in a large cohort. Patients receiving a dedicated planning [F18] FDG-PET/CT (06/2011-03/2016) were included. GTV was delineated on CT and on PET/CT (GTV 45 cases were evaluated. Mean GTV We were not able to show that the integration of PET/CT for GTV delineation of the primary tumor resulted in reduced interobserver variability. The PERCIST-TLG algorithm seemed most promising compared to other thresholds for further evaluation of semiautomated delineation of esophageal cancer.

Sections du résumé

BACKGROUND
Target volume definition of the primary tumor in esophageal cancer is usually based on computed tomography (CT) supported by endoscopy and/or endoscopic ultrasound and can be difficult given the low soft-tissue contrast of CT resulting in large interobserver variability. We evaluated the value of a dedicated planning [F18] FDG-Positron emission tomography/computer tomography (PET/CT) for harmonization of gross tumor volume (GTV) delineation and the feasibility of semiautomated structures for planning purposes in a large cohort.
METHODS
Patients receiving a dedicated planning [F18] FDG-PET/CT (06/2011-03/2016) were included. GTV was delineated on CT and on PET/CT (GTV
RESULTS
45 cases were evaluated. Mean GTV
CONCLUSION
We were not able to show that the integration of PET/CT for GTV delineation of the primary tumor resulted in reduced interobserver variability. The PERCIST-TLG algorithm seemed most promising compared to other thresholds for further evaluation of semiautomated delineation of esophageal cancer.

Identifiants

pubmed: 33104815
doi: 10.1007/s00066-020-01701-0
pii: 10.1007/s00066-020-01701-0
pmc: PMC8397654
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

780-790

Informations de copyright

© 2020. The Author(s).

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Auteurs

Franziska Walter (F)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany. franziska.walter@med.uni-muenchen.de.

Constanze Jell (C)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Barbara Zollner (B)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Claudia Andrae (C)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Sabine Gerum (S)

Department of Radiotherapy and Radiation Oncology, Paracelsus Medical University (PMU), Landeskrankenhaus, Salzburg, Austria.

Harun Ilhan (H)

Department of Nuclear Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Claus Belka (C)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Maximilian Niyazi (M)

Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Falk Roeder (F)

Department of Radiotherapy and Radiation Oncology, Paracelsus Medical University (PMU), Landeskrankenhaus, Salzburg, Austria.

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