Contrast-enhanced photon-counting micro-CT of tumor xenograft models.

Photon-counting micro-CT computed tomography contrast agent preclinical tumor imaging tumor xenografts

Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
26 Apr 2024
Historique:
medline: 27 4 2024
pubmed: 27 4 2024
entrez: 26 4 2024
Statut: aheadofprint

Résumé

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.&#xD;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 Exitrone 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.&#xD;Main results. Our in vivo experiments confirm the effectiveness of this color visualization approach, showing distinct enhancement characteristics for each contrast agent. Qualitative and quantitative analyses suggest that Exitrone 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.&#xD;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.&#xD.

Identifiants

pubmed: 38670143
doi: 10.1088/1361-6560/ad4447
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Mengzhou Li (M)

Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, 12180-3522, UNITED STATES.

Xiaodong Guo (X)

Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, 12180-3522, UNITED STATES.

Amit Verma (A)

Department of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, New York, 12208-3479, UNITED STATES.

Alena Rudkouskaya (A)

Department of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, New York, 12208-3479, UNITED STATES.

Antigone M McKenna (AM)

Rensselaer Polytechnic Institute, 1623 15th Street, Troy, New York, 12180, UNITED STATES.

Xavier Intes (X)

Biomedical Engineering Department, Rensselaer Polytechnic Institute, 110 8th street, Troy, New York, 12180-3522, UNITED STATES.

Ge Wang (G)

Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, 12180-3522, UNITED STATES.

Margarida Barroso (M)

Department of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, New York, 12208-3479, UNITED STATES.

Classifications MeSH