RESUMO
To evaluate the prognostic factors and indexes of a series of 93 patients with breast cancer and brain metastases (BM) in a single institution. Treatment outcomes were evaluated according to the major prognostic indexes (RPA, BSBM, GPA scores) and breast cancer subtypes. Independent prognostic factors for overall survival (OS) were identified. The median OS values according to GPA 0-1, 1.5-2, 2.5-3 and 3.5-4, were 4.5, 9.5, 14.2 and 19.1 months, respectively (p < 0.0001) and according to genetic subtypes, they were 5, 14.2, 16.5 and 17.1 months for basal-like, luminal A and B and HER, respectively (p = 0.04). Using multivariate analysis, we established a new grading system using the six factors that were identified as indicators of longer survival: age under 60 (p = 0.001), high KPS (p = 0.007), primary tumor control (p = 0.05), low number of extracranial metastases and BM (p = 0.01 and 0.0002, respectively) and triple negative subtype (p = 0.002). Three groups with significantly different median survival times were identified: 4.1, 9.5 and 26.3 months, respectively (p < 0.0001). Our new grading system shows that prognostic indexes could be improved by using more levels of classification and confirms the strength of biological prognostic factors.
Assuntos
Neoplasias Encefálicas , Neoplasias da Mama , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Neoplasias Encefálicas/diagnóstico , Neoplasias Encefálicas/mortalidade , Neoplasias Encefálicas/terapia , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/mortalidade , Neoplasias da Mama/secundário , Neoplasias da Mama/terapia , Intervalo Livre de Doença , Feminino , Humanos , Pessoa de Meia-Idade , Estudos Retrospectivos , Taxa de SobrevidaRESUMO
A design of a miniaturized stationary Fourier transform IR spectrometer has been developed that produces a two-dimensional interferogram. The latter is disturbed by effects like parasitic interferences or disparities in the cutoff wavelength of the pixels. Thus, a simple Fourier transform cannot be used to estimate the spectrum of the scene. However, as these defects are deterministic, they can be measured and taken into account by inversion methods. A regularization term can also be added. The first experimental results prove the efficiency of this processing methodology.
