RESUMEN
Pattern recognition has been applied to the analysis of in vivo 31P NMR spectra. Using four different classes of tumour and three types of normal tissue, cluster analysis and artificial neural networks were successful in separating and classifying the majority of samples analysed. Although the phosphomonoester and P(i) regions appeared to be the most important spectral features, data representing the entire 31P spectrum were required for best separation of the tumour and tissue classes.
Asunto(s)
Neoplasias Experimentales/diagnóstico , Reconocimiento de Normas Patrones Automatizadas , Animales , Encéfalo/metabolismo , Femenino , Fibrosarcoma/diagnóstico , Fibrosarcoma/metabolismo , Fibrosarcoma/patología , Hígado/metabolismo , Espectroscopía de Resonancia Magnética/métodos , Ratones , Ratones Endogámicos C3H , Músculos/metabolismo , Trasplante de Neoplasias , Neoplasias Experimentales/metabolismo , Neoplasias Experimentales/patología , Fósforo , Ratas , Ratas Endogámicas BUF , Ratas Wistar , Estudios RetrospectivosRESUMEN
Tamoxifen injections were given once a week for 4 weeks to 19 rats bearing N-methyl-N-nitrosourea (NMU)-induced mammary carcinomas. NMR spectra were collected on days 2, 7, 14, 21 and 28. Only 42% of the tumours responded to the tamoxifen in that they regressed significantly; another 21% did not change in size and 37% grew significantly. In the ones that did subsequently regress there were significant changes in the NTP/Pi ratio as early as 2 days after treatment, before any detectable change in volume was recorded, and continuing up to 21 days. The significance of these findings and the possible mechanisms underlying the changes are discussed.