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Diagnóstico y caracterización de cáncer mamario en seres humanos: Una revisión

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datacite.rightshttp://purl.org/coar/access_right/c_abf2eng
dc.contributor.authorSandra Vargas, Sandra
dc.contributor.authorVera, Miguel
dc.date.accessioned2022-05-13T18:59:34Z
dc.date.available2022-05-13T18:59:34Z
dc.date.issued2021
dc.description.abstractEl cáncer de mama es una enfermedad de tipo clonal ya sea por mutación adquirida o por mutación de línea germinal que introduce una transformación significativa en la estructura anatómica del parénquima mamario o en los elementos que le sirven de soporte. En diversos países, las alarmantes estadísticas asociadas con la muerte por este tipo de cáncer justifican el enorme esfuerzo que está haciendo la comunidad internacional para abordar este problema de salud. Mediante el presente trabajo, para construir el estado del arte actual del cáncer mamario, se realizó una revisión sistemática de diversas fuentes de información que incluyó un total de ochenta y cinco documentos o unidades de análisis. Los hallazgos fundamentales muestran que, históricamente, se ha producido una constante evolución en el desarrollo y perfeccionamiento tanto de la terapéutica como de las técnicas de detección del cáncer mamario, lo cual ha estado respaldado por la incorporación de los avances tecnológicos en la rutina clínica y en la cultura de los sujetos aquejados por esta patología. En ese sentido, el análisis de los mencionados documentos permitió detectar una importante transformación de los protocolos de diagnóstico y seguimiento de este tipo de cáncer, una profusa aplicación de las técnicas imagenológicas médicas y un visible posicionamiento de las técnicas de aprendizaje automático, especialmente de los operadores de inteligencia artificial, como elementos fundamentales para el desarrollo de un sinnúmero de estrategias bioingenieriles las cuales pueden ser muy útiles como apoyo clínico para los especialistas oncólogos que estudian el cáncer mamario.spa
dc.description.abstractBreast cancer is a clonal type of disease either by acquired mutation or by germ line that introduces a significant transformation in the anatomical structure of the breast parenchyma or in the elements that support it. In several countries, the alarming statistics associated with death from this type of cancer justify the enormous effort being made by the international community to address this health problem. To build the current state of the art of breast cancer, through the present work, a systematic review of diverse sources of information was carried out, which included a total of eighty-five documents or analysis units. The fundamental findings show that, historically, there has been a constant evolution in the development and improvement of both the therapeutics and the techniques of breast cancer detection, which has been supported by the incorporation of technological advances in the clinical routine and in the culture of the subjects affected by this pathology. In that sense, the analysis of the mentioned documents allowed detecting an important transformation of the protocols of diagnosis and monitoring of this type of cancer, a profuse application of the medical imaging techniques and a visible positioning of the automatic learning techniques, especially of the artificial intelligence operators, as fundamental elements for the development of an endless number of bioengineering strategies which can be very useful as clinical support for the oncology specialists who study breast cancer.eng
dc.format.mimetypepdfspa
dc.identifier.doihttp://doi.org/10.5281/zenodo.5228817
dc.identifier.issn26107988
dc.identifier.urihttps://hdl.handle.net/20.500.12442/9697
dc.language.isospaspa
dc.publisherUniversidad Central de Venezuelaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceAVFT - Archivos Venezolanos de Farmacología y Terapéuticaspa
dc.sourceVol. 40, No. 4 (2021)
dc.subjectCáncer mamariospa
dc.subjectimagenología médicaspa
dc.subjectOperadores inteligentesspa
dc.subjectBreast cancereng
dc.subjectMedical imagingeng
dc.subjectArtificial intelligence operatorseng
dc.titleDiagnóstico y caracterización de cáncer mamario en seres humanos: Una revisiónspa
dc.title.translatedDiagnosis and characterization of breast cancer in humans: A revieweng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.spaArtículo científicospa
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