DOI:
https://doi.org/10.14483/22484728.18412Publicado:
2019-03-13Número:
Vol. 2 Núm. 1 (2019): Edición especialSección:
Visión InvestigadoraSupervised classifiers of prostate cancer
Un estudio geométrico sobre imágenes de resonancia magnética ponderadas T2 (T2W) y por difusión (DWI-ADC)
Clasificadores supervisados del cáncer de próstata
Palabras clave:
Cáncer, Diagnóstico, Geometría, Resonancia magnética, Próstata (es).Palabras clave:
Cancer, Diagnosis, Geometry, Magnetic resonance, Prostate (en).Descargas
Resumen (en)
Prostate cancer is a common type of cancer in men, it is slow and silent, and they respond to timely treatment.
There is great importance in the early diagnosis when it has not yet invaded the prostate gland, currently there is a need to deepen the objective prediction tools. This article presents an analysis and development of an application for early diagnosis of this cancer from the multiparameter magnetic resonance of patients, in this case patient images are used to detect lesions in the prostate and the Data and Reports System Prostate images (PI-RADS).
The objective of the method is to provide a contribution to medicine in the hands of all clinical staff responsible for the diagnosis of prostate cancer, a method of prediction, as a support for diagnosis, seeking stability and tranquility of the affected patients.
Resumen (es)
El cáncer de próstata es frecuente en los hombres, es lento y silencioso, y responde a un tratamiento oportuno. Existe una gran importancia del diagnóstico temprano cuando aún no ha invadido la glándula prostática; actualmente, se ha visto la necesidad de profundizar en las herramientas de predicción objetiva. En este artículo se presenta un análisis y desarrollo de una aplicación para diagnóstico temprano de este cáncer a partir de la resonancia magnética multiparamétrica de pacientes, usándose imágenes de pacientes para detectar lesiones en la próstata y el Sistema de Datos e Informes de Imágenes de próstata (PI-RADS). Se obtiene un método que proporciona al personal clínico encargado del diagnóstico de cáncer de próstata un método de predicción aceptable como soporte al diagnóstico, estable, y que no intranquiliza pacientes afectados.
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