MRI based neuroanatomical segmentation in breast cancer patients: leptomeningeal carcinomatosis vs. oligometastatic brain disease vs. multimetastastic brain disease.


Journal

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

Informations de publication

Date de publication:
18 Sep 2019
Historique:
received: 28 01 2019
accepted: 11 09 2019
entrez: 20 9 2019
pubmed: 20 9 2019
medline: 15 2 2020
Statut: epublish

Résumé

Pathogenesis of brain metastases/meningeal cancer and the emotional and neurological outcomes are not yet well understood. The hypothesis of our study is that patients with leptomeningeal cancer show volumetric differences in brain substructures compared to patients with cerebral metastases. Three groups consisting of female breast cancer patients prior to brain radiotherapy were compared. Leptomeningeal cancer patients (LMC Group), oligometastatic patients (1-3 brain metastases) prior to radiosurgery (OMRS Group) and patients prior to whole brain radiation (WB Group) were included. All patients had MRI imaging before treatment. T1 MRI sequences were segmented using automatic segmentation. For each patient, 14 bilateral and 11 central/median subcortical structures were tested. Overall 1127 structures were analyzed and compared between groups using age matched two-sided t-tests. The average age of patients in the OMRS group was 60.8 years (± 14.7), 65.3 (± 10.3) in the LMC group and 62.6 (± 10.2) in the WB group. LMC patients showed a significantly larger fourth ventricle compared to OMRS (p = 0.001) and WB (p = 0.003). The central corpus callosum appeared smaller in the LMC group (LMC vs OMRS p = 0.01; LMC vs WB p = 0.026). The right amygdala in the WB group appeared larger compared with the OMRS (p = 0.035). Differences in the size of brain substructures of the three groups were found. The results appear promising and should be taken into account for further prospective studies also involving healthy controls. The volumetrically determined size of the fourth ventricle might be a helpful diagnostic marker in the future.

Identifiants

pubmed: 31533742
doi: 10.1186/s13014-019-1380-3
pii: 10.1186/s13014-019-1380-3
pmc: PMC6749713
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

170

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Auteurs

Michael Mayinger (M)

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

Antonia Reibelt (A)

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

Kai Joachim Borm (KJ)

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

Johannes Ettl (J)

Department of Obstetrics and Gynecology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Jan J Wilkens (JJ)

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

Stephanie Elisabeth Combs (SE)

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

Markus Oechsner (M)

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

Marciana Nona Duma (MN)

Department of Radiation Oncology, Medical School, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany. Marciana-Nona.Duma@med.uni-jena.de.
Department of Radiotherapy and Radiation Oncology, University Hospital of the Friedrich-Schiller-University, Bachstr. 18, 07745, Jena, Germany. Marciana-Nona.Duma@med.uni-jena.de.

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