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Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype.
Bashour, Sami I; Ibrahim, Nuhad K; Schomer, Donald F; Hess, Kenneth R; Gao, Chao; Tripathy, Debu; Fuller, Gregory N.
Afiliação
  • Bashour SI; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Ibrahim NK; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. nibrahim@mdanderson.org.
  • Schomer DF; Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hess KR; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Gao C; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Tripathy D; Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
  • Fuller GN; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Br J Cancer ; 123(9): 1417-1423, 2020 10.
Article em En | MEDLINE | ID: mdl-32747747
ABSTRACT

BACKGROUND:

CNS miliary metastasis (MiM) is poorly recognised in breast and other malignancies. Given its rarity, little epidemiologic, radiographic and clinical data are known. Although usually identified on neuroimaging, criteria for radiographic diagnosis do not exist. In this analysis, we establish its presence in breast cancer and identify factors contributing to outcome.

METHODS:

We identified 546 female patients with brain metastasis from breast cancer between 2000 and 2015. Radiographic criteria were established through review of neuroimages by a senior Neuroradiologist, and defined as (1) ≥20 lesions per image on ≥2 non-contiguous MRI images or ≥10 lesions per image on ≥2 non-contiguous CT images, and (2) bilateral lesions located in both the supratentorial and infratentorial compartments.

RESULTS:

Twenty-one MiM cases were identified (3.8%). Number and anatomical distribution of metastases best identified MiM, while lesion size did not. Ten patients were diagnosed with MiM as initial CNS metastasis; 11 developed MiM following known CNS metastasis. Breast cancer subtype did not influence MiM development before or after other CNS metastasis.

CONCLUSIONS:

This is the first study to propose radiographic criteria for MiM diagnosis. Additional analysis is needed to verify data, but our results may enable a standardised approach for future MiM research.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Neoplasias do Sistema Nervoso Central Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Br J Cancer Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Neoplasias do Sistema Nervoso Central Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Br J Cancer Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos