FDG/PET-CT-Based Lymph Node Atlas in Breast Cancer Patients.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 09 03 2018
revised: 27 06 2018
accepted: 04 07 2018
pubmed: 18 8 2018
medline: 4 9 2019
entrez: 18 8 2018
Statut: ppublish

Résumé

The aim of this study was to localize locoregional lymph node metastases using positron emission tomography with fluorine 18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) data sets in a large cohort of patients and to evaluate the existing Radiation Therapy Oncology Group (RTOG) clinical target volume (CTV) and the European Society for Radiation Therapy & Oncology (ESTRO) CTV contouring guidelines. A total of 235 patients with 580 FDG/PET-CT positive locoregional lymph node metastases were included in our analysis. The patients were divided into 4 groups according to their course of disease (primary vs recurrent breast cancer) and the presence or absence of distant metastasis at the time of the FDG-PET/CT staging (distant metastasis vs no distant metastasis). All imaging data were imported into the planning system, and each lymph node was manually contoured. A patient with "standard anatomy" was chosen as a template, and all contoured structures were registered rigidly and nonrigidly to this patient. A comprehensive 3-dimensional atlas was created, including all identified lymph node metastases. The incidences of lymph node metastases were analyzed and are presented with color coding in the atlas. Lymph node levels (axillary, internal mammary, supraclavicular) were contoured according to RTOG and ESTRO guidelines and evaluated. The mean volume of the lymph nodes was 1.7 ± 2.6 cm The provided lymph node atlas illustrates where lymph node metastases occur in different clinical situations and presents areas at high risk (ie "hot spots" of lymph node metastases).

Identifiants

pubmed: 30118822
pii: S0360-3016(18)33541-7
doi: 10.1016/j.ijrobp.2018.07.2025
pii:
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

574-582

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Kai Joachim Borm (KJ)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany.

Julia Voppichler (J)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany; Faculty of Medicine, Technical University, Munich, Germany.

Mathias Düsberg (M)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany.

Markus Oechsner (M)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany.

Tibor Vag (T)

Diagnostik München, Munich, Germany.

Wolfgang Weber (W)

Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University, Munich, Germany.

Stephanie Elisabeth Combs (SE)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK)-Partner Site Munich, Munich, Germany; Institute of Innovative Radiohterapy, Helmholtzzentrum München, Munich, Germany.

Marciana Nona Duma (MN)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University, Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK)-Partner Site Munich, Munich, Germany; Institute of Innovative Radiohterapy, Helmholtzzentrum München, Munich, Germany. Electronic address: Marciana.Duma@mri.tum.de.

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Classifications MeSH