Comparison of the distribution of lymph node metastases compared to healthy lymph nodes in breast cancer.


Journal

Radiation oncology (London, England)
ISSN: 1748-717X
Titre abrégé: Radiat Oncol
Pays: England
ID NLM: 101265111

Informations de publication

Date de publication:
05 Feb 2022
Historique:
received: 09 04 2021
accepted: 07 12 2021
entrez: 6 2 2022
pubmed: 7 2 2022
medline: 18 3 2022
Statut: epublish

Résumé

Current literature lacks a comparison of lymph node metastases and non-pathological lymph nodes distribution in breast cancer patients. The aim of the current retrospective study was to generate a comprehensive atlas of the lymph node system. 143 breast cancer patients underwent F-18-FDG-PET/CT (PET/CT) imaging for staging purposes and were diagnosed with regional lymph node metastases. Based on the PET/CT data set a total of 326 lymph node metastases and 1826 non-pathological lymph nodes were detected and contoured manually in the patient collective. Using rigid and deformable registration algorithms all structures were transferred to a template planning CT of a standard patient. Subsequently, a 3D-atlas of the distribution of lymph node metastases and non-pathological lymph nodes were generated and compared to each other. Both, lymph node metastases and non-pathological lymph nodes, accumulated in certain areas ("hot-spots") within the lymphatic drainage system. However large differences regarding the distribution patterns were detected: lymph node metastases hot spots occurred in close proximity to the subclavian vein in level I-III, whereas the non-pathological lymph nodes accumulated mostly (within a wider range) in level I. In level II and III lymph node metastases exceeded clearly the areas in which non-pathological lymph nodes occurred. Lymph node metastases and non-pathological lymph node distribution within the lymph node system differ clearly. Based on our results, an individual adjustment of the CTV in order to include visible lymph nodes in level II and III should be discussed.

Sections du résumé

BACKGROUND BACKGROUND
Current literature lacks a comparison of lymph node metastases and non-pathological lymph nodes distribution in breast cancer patients. The aim of the current retrospective study was to generate a comprehensive atlas of the lymph node system.
METHODS METHODS
143 breast cancer patients underwent F-18-FDG-PET/CT (PET/CT) imaging for staging purposes and were diagnosed with regional lymph node metastases. Based on the PET/CT data set a total of 326 lymph node metastases and 1826 non-pathological lymph nodes were detected and contoured manually in the patient collective. Using rigid and deformable registration algorithms all structures were transferred to a template planning CT of a standard patient. Subsequently, a 3D-atlas of the distribution of lymph node metastases and non-pathological lymph nodes were generated and compared to each other.
RESULTS RESULTS
Both, lymph node metastases and non-pathological lymph nodes, accumulated in certain areas ("hot-spots") within the lymphatic drainage system. However large differences regarding the distribution patterns were detected: lymph node metastases hot spots occurred in close proximity to the subclavian vein in level I-III, whereas the non-pathological lymph nodes accumulated mostly (within a wider range) in level I. In level II and III lymph node metastases exceeded clearly the areas in which non-pathological lymph nodes occurred.
CONCLUSION CONCLUSIONS
Lymph node metastases and non-pathological lymph node distribution within the lymph node system differ clearly. Based on our results, an individual adjustment of the CTV in order to include visible lymph nodes in level II and III should be discussed.

Identifiants

pubmed: 35123538
doi: 10.1186/s13014-021-01964-6
pii: 10.1186/s13014-021-01964-6
pmc: PMC8818136
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27

Informations de copyright

© 2022. The Author(s).

Références

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Auteurs

Kai J Borm (KJ)

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

Lucia Ernst (L)

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

Julia Voppichler (J)

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

Markus Oechsner (M)

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

Mathias Düsberg (M)

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

Gabriel Buschner (G)

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

Wolfgang Weber (W)

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

Stephanie E Combs (SE)

Department of Radiation Oncology, Medical School, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Deutsches Konsortium Für Translationale Krebsforschung (DKTK)-Partner Site Munich, Munich, Germany.
Institute of Radiation Medicine, Helmholtzzentrum München, Munich, Germany.

Marciana N Duma (MN)

Department of Radiation Oncology, Medical School, Klinikum rechts der Isar, Technical University Munich, Munich, Germany. Marciana-Nona.Duma@med.uni-jena.de.
Department of Radiotherapy and Radiation Oncology, Friedrich Schiller University Hospital, Bachstraße 18, 07743, Jena, Germany. Marciana-Nona.Duma@med.uni-jena.de.

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