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Applying dynamic contrast enhanced MSOT imaging to intratumoral pharmacokinetic modeling

Examining the dynamics of an agent in the tumor microenvironment can offer critical insights to the influx rate and accumulation of the agent. Intratumoral kinetic characterization in the in vivo setting can further elicudate distribution patterns and tumor microenvironment. Dynamic contrast-enhance...

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Detalles Bibliográficos
Autores principales: Xiao, Ted G., Weis, Jared A., Gayzik, F. Scott, Thomas, Alexandra, Chiba, Akiko, Gurcan, Metin N., Topaloglu, Umit, Samykutty, Abhilash, McNally, Lacey R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086408/
https://www.ncbi.nlm.nih.gov/pubmed/30105204
http://dx.doi.org/10.1016/j.pacs.2018.07.003
Descripción
Sumario:Examining the dynamics of an agent in the tumor microenvironment can offer critical insights to the influx rate and accumulation of the agent. Intratumoral kinetic characterization in the in vivo setting can further elicudate distribution patterns and tumor microenvironment. Dynamic contrast-enhanced Multispectral Optoacoustic Tomographic imaging (DCE-MSOT) acquires serial MSOT images with the administration of an exogenous contrast agent over time. We tracked the dynamics of a tumor-targeted contrast agent, HypoxiSense 680 (HS680), in breast xenograft mouse models using MSOT. Arterial input function (AIF) approach with MSOT imaging allowed for tracking HS680 dynamics within the mouse. The optoacoustic signal for HS680 was quantified using the ROI function in the ViewMSOT software. A two-compartment pharmacokinetics (PK) model constructed in MATLAB to fit rate parameters. The contrast influx (k(in)) and outflux (k(out)) rate constants predicted are k(in) = 1.96 × 10(−2) s(-1) and k(out) = 9.5 × 10(-3) s(-1) (R = 0.9945).