Prognostic factors of meningeal carcinomatosis in breast cancer patients

It can be concluded that meningeal carcinomatosis is a serious condition, and the most common symptoms at diagnosis are headache and nausea. Special attention should be given to patients who present with alterations in cranial nerves, as they belong to a subgroup with a poor prognosis.

Authors

Institutions

Publication Details

Journal
Revista da Associação Médica Brasileira
Published
2025-01-01
DOI
https://doi.org/10.1590/1806-9282.20240177
Primary Topic
Brain Metastases and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic factors of meningeal carcinomatosis in breast cancer patients

Felipe José Silva Melo Cruz, Renata Tortato Meneguetti, Auro del Giglio, Fabio De Lima
Revista da Associação Médica Brasileira
Brain Metastases and Treatment
article

Prognostic factors of meningeal carcinomatosis in breast cancer patients

Felipe José Silva Melo Cruz, Renata Tortato Meneguetti, Auro del Giglio, Fabio De Lima
article en

Abstract

It can be concluded that meningeal carcinomatosis is a serious condition, and the most common symptoms at diagnosis are headache and nausea. Special attention should be given to patients who present with alterations in cranial nerves, as they belong to a subgroup with a poor prognosis.

Revista da Associação Médica BrasileiraVol. 71(7)
Faculdade de Medicina do ABC (BR), Instituto Brasileiro de Controle do Câncer (BR)
Good health and well-being
Openalex Percentile: Top 69%
Brain Metastases and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.