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1.
Drug Discov Today ; 25(3): 582-592, 2020 03.
Artículo en Inglés | MEDLINE | ID: mdl-31954664

RESUMEN

Reporter gene imaging (RGI) is described as the methodology that involves imaging of the encoding proteins that can be used as surrogate markers when fused with regulatory regions of the gene of interest. It provides a means to indirectly monitor molecular processes that are implicated in the pathophysiology of several diseases. The modalities utilized in RGI include MRI, PET, SPECT, as well as optical imaging modalities, such as bioluminescence and fluorescence. RGI provides a highly specific way to qualitatively and quantitatively assess cell targeting, transfection, protein expression and other intracellular processes, which are valuable for pharmacodynamic and pharmacokinetic assessment of cellular, gene and oncolytic viral therapeutics.


Asunto(s)
Desarrollo de Medicamentos/métodos , Genes Reporteros/genética , Proteínas/genética , Animales , Biomarcadores/metabolismo , Humanos , Imagen por Resonancia Magnética , Imagen Óptica , Tomografía de Emisión de Positrones , Proteínas/metabolismo , Tomografía Computarizada de Emisión de Fotón Único
2.
JCO Clin Cancer Inform ; 1: 1-8, 2017 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-30657374

RESUMEN

Radiomics is a quantitative approach to medical image analysis targeted at deciphering the morphologic and functional features of a lesion. Radiomic methods can be applied across various malignant conditions to identify tumor phenotype characteristics in the images that correlate with their likelihood of survival, as well as their association with the underlying biology. Identifying this set of characteristic features, called tumor signature, holds tremendous value in predicting the behavior and progression of cancer, which in turn has the potential to predict its response to various therapeutic options. We discuss the technical challenges encountered in the application of radiomics, in terms of methodology, workflow integration, and user experience, that need to be addressed to harness its true potential.


Asunto(s)
Diagnóstico por Imagen , Procesamiento de Imagen Asistido por Computador/métodos , Oncología Médica , Inteligencia Artificial , Biomarcadores , Diagnóstico por Imagen/métodos , Diagnóstico por Imagen/normas , Humanos , Procesamiento de Imagen Asistido por Computador/normas , Informática Médica/métodos , Informática Médica/normas , Oncología Médica/métodos , Oncología Médica/normas , Flujo de Trabajo
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