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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

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 establ...

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Autores principales: Bashour, Sami I., Ibrahim, Nuhad K., Schomer, Donald F., Hess, Kenneth R., Gao, Chao, Tripathy, Debu, Fuller, Gregory N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591856/
https://www.ncbi.nlm.nih.gov/pubmed/32747747
http://dx.doi.org/10.1038/s41416-020-1008-2
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author Bashour, Sami I.
Ibrahim, Nuhad K.
Schomer, Donald F.
Hess, Kenneth R.
Gao, Chao
Tripathy, Debu
Fuller, Gregory N.
author_facet Bashour, Sami I.
Ibrahim, Nuhad K.
Schomer, Donald F.
Hess, Kenneth R.
Gao, Chao
Tripathy, Debu
Fuller, Gregory N.
author_sort Bashour, Sami I.
collection PubMed
description 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.
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spelling pubmed-75918562020-11-10 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. Br J Cancer Article 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. Nature Publishing Group UK 2020-08-04 2020-10-27 /pmc/articles/PMC7591856/ /pubmed/32747747 http://dx.doi.org/10.1038/s41416-020-1008-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bashour, Sami I.
Ibrahim, Nuhad K.
Schomer, Donald F.
Hess, Kenneth R.
Gao, Chao
Tripathy, Debu
Fuller, Gregory N.
Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title_full Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title_fullStr Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title_full_unstemmed Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title_short Central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
title_sort central nervous system miliary metastasis in breast cancer: a case series analysis and proposed identification criteria of a rare metastasis subtype
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591856/
https://www.ncbi.nlm.nih.gov/pubmed/32747747
http://dx.doi.org/10.1038/s41416-020-1008-2
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