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Contrast-enhanced photon-counting micro-CT of tumor xenograft models.
Li, Mengzhou; Guo, Xiaodong; Verma, Amit; Rudkouskaya, Alena; McKenna, Antigone M; Intes, Xavier; Wang, Ge; Barroso, Margarida.
Affiliation
  • Li M; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America.
  • Guo X; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America.
  • Verma A; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, United States of America.
  • Rudkouskaya A; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, United States of America.
  • McKenna AM; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America.
  • Intes X; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America.
  • Wang G; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America.
  • Barroso M; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, United States of America.
Phys Med Biol ; 69(15)2024 Jul 19.
Article in En | MEDLINE | ID: mdl-38670143
ABSTRACT
Objective. Photon-counting micro-computed tomography (micro-CT) is a major advance in small animal preclinical imaging. Small molecule- and nanoparticle-based contrast agents have been widely used to enable the differentiation of liver tumors from surrounding tissues using photon-counting micro-CT. However, there is a notable gap in the application of these market-available agents to the imaging of breast and ovarian tumors using photon-counting micro-CT. Herein, we have used photon-counting micro-CT to determine the effectiveness of these contrast agents in differentiating ovarian and breast tumor xenografts in live, intact mice.Approach. Nude mice carrying different types of breast and ovarian tumor xenografts (AU565, MDA-MB-231 and SKOV-3 human cancer cells) were injected with ISOVUE-370 (a small molecule-based agent) or Exitron Nano 12000 (a nanoparticle-based agent) and subjected to photon-counting micro-CT. To improve tumor visualization using photon-counting micro-CT, we developed a novel color visualization method, which changes color tones to highlight contrast media distribution, offering a robust alternative to traditional material decomposition methods with less computational demand.Main results. Ourin vivoexperiments confirm the effectiveness of this color visualization approach, showing distinct enhancement characteristics for each contrast agent. Qualitative and quantitative analyses suggest that Exitron Nano 12000 provides superior vasculature enhancement and better quantitative consistency across scans, while ISOVUE-370 delivers a more comprehensive tumor enhancement but with significant variance between scans due to its short blood half-time. Further, a paired t-test on mean and standard deviation values within tumor volumes showed significant differences between the AU565 and SKOV-3 tumor models with the nanoparticle-based contrast agent (p-values < 0.02), attributable to their distinct vascularity, as confirmed by immunohistochemical analysis.Significance. These findings underscore the utility of photon-counting micro-CT in non-invasively assessing the morphology and anatomy of different tumor xenografts, which is crucial for tumor characterization and longitudinal monitoring of tumor progression and response to treatments.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photons / Contrast Media / X-Ray Microtomography Limits: Animals / Female / Humans Language: En Journal: Phys Med Biol Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photons / Contrast Media / X-Ray Microtomography Limits: Animals / Female / Humans Language: En Journal: Phys Med Biol Year: 2024 Document type: Article Affiliation country: United States