Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

X-ray induced thyroid adenocarcinoma.

P Rosen

    Medical Hypotheses
    |April 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    This study compares x-ray induced thyroid adenocarcinoma in rats using in-vitro and in-vivo methods. Calculated data aligns with previous findings, validating the dose-response model for cancer induction.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Timeline to dysphagia resolution after endoscopic intervention of an interarytenoid defect based on Video Fluoroscopic Swallow Study dysphagia severity.

    International journal of pediatric otorhinolaryngology·2023
    Same author

    Optimal timing and technique for endoscopic management of dysphagia in pediatric aerodigestive patients.

    International journal of pediatric otorhinolaryngology·2021
    Same author

    Overestimation of N-glycoPEGylated factor IX activity in a one-stage factor IX clotting assay owing to silica-mediated premature conversion to activated factor IX.

    Journal of thrombosis and haemostasis : JTH·2016
    Same author

    Phase II trial of vatalanib in patients with advanced or metastatic pancreatic adenocarcinoma after first-line gemcitabine therapy (PCRT O4-001).

    Cancer chemotherapy and pharmacology·2014
    Same author

    Nonpinhole approximations for interactive rendering.

    IEEE computer graphics and applications·2014
    Same author

    Expression of Adhesion Molecules on the Surface of Activated Platelets is Diminished by PGI(2)-analogues and an NO (EDRF)-Donor: A Comparison Between Platelets of Healthy and Diabetic Subjects.

    Platelets·2010

    Area of Science:

    • Radiation oncology
    • Carcinogenesis research
    • Animal models in cancer research

    Background:

    • Thyroid adenocarcinoma induction in rats is a key model for studying radiation effects.
    • Previous studies by Doniach established in-vivo irradiation data for comparison.
    • The Clifton et al. in-vitro/in-vivo method offers a novel approach to assess radiation-induced cancer.

    Purpose of the Study:

    • To compare x-ray induced thyroid adenocarcinoma data generated by Clifton et al.'s method with Doniach's established in-vivo data.
    • To model the dose-response relationship for radiation-induced thyroid cancer.
    • To validate a mathematical model for predicting cancer incidence based on radiation dose.

    Main Methods:

    • Utilized the in-vitro, in-vivo method described by Clifton et al. for x-ray irradiation of rat thyroid cells.

    Related Experiment Videos

  • Assumed a linear dose-response relationship for transformation probability up to 500 rad.
  • Assumed a dose-squared relationship for transformation probability at doses exceeding 500 rad.
  • Main Results:

    • The fraction of rats developing adenocarcinoma at 500 and 1100 rads, as calculated by the model, closely matched Doniach's experimental data.
    • The developed dose-response model successfully predicted cancer incidence across a range of radiation doses.
    • The study provides a computational framework for understanding radiation-induced carcinogenesis.

    Conclusions:

    • The in-vitro, in-vivo method, when modeled appropriately, can accurately predict in-vivo radiation-induced thyroid adenocarcinoma.
    • The dose-response relationship for x-ray induced thyroid cancer in rats can be effectively described by a piecewise model (linear then quadratic).
    • This research supports the use of computational modeling to interpret and extend experimental data in radiation biology and cancer research.