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

Mammographic changes following radiotherapy.

J H Buckley, E J Roebuck

    The British Journal of Radiology
    |April 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

    Serial mammograms help differentiate radiotherapy effects from breast cancer recurrence. Key signs include mass development and malignant microcalcification changes over time.

    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

    Search for Axion Dark Matter from 1.1 to 1.3 GHz with ADMX.

    Physical review letters·2025
    Same author

    ADMX Axion Dark Matter Bounds around 3.3  μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability.

    Physical review letters·2025
    Same author

    Dark matter axion search using a Josephson Traveling wave parametric amplifier.

    The Review of scientific instruments·2023
    Same author

    Direct Measurement of the Spectral Structure of Cosmic-Ray Electrons+Positrons in the TeV Region with CALET on the International Space Station.

    Physical review letters·2023
    Same author

    Search for a Dark-Matter-Induced Cosmic Axion Background with ADMX.

    Physical review letters·2023
    Same author

    Erratum: Charge-Sign Dependent Cosmic-Ray Modulation Observed with the Calorimetric Electron Telescope on the International Space Station [Phys. Rev. Lett. 130, 211001 (2023)].

    Physical review letters·2023
    Same journal

    Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancer.

    The British journal of radiology·2026
    Same journal

    Predictors of Relapse in Oligometastatic Prostate Patients Receiving Stereotactic Ablative Radiotherapy.

    The British journal of radiology·2026
    Same journal

    An Evaluation of Radiotherapy and Response in the Management of Perivascular Epithelioid Cell Tumors.

    The British journal of radiology·2026
    Same journal

    Ensuring radiology reporting quality across a national lung cancer screening programme.

    The British journal of radiology·2026
    Same journal

    Utility of High-Resolution Semiconductor Positron Emission Tomography/Computed Tomography in the Assessment of Breast Cancer Extent: Comparison with Magnetic Resonance Imaging.

    The British journal of radiology·2026
    Same journal

    Airway Imaging Practices in Primary Ciliary Dyskinesia: A Global Survey to Guide Standardized Guidelines.

    The British journal of radiology·2026
    See all related articles

    Area of Science:

    • Oncology
    • Radiology
    • Medical Imaging

    Background:

    • Breast cancer treatment often involves surgery and radiotherapy.
    • Mammography is crucial for monitoring treatment response and detecting recurrence.
    • Radiotherapy can cause changes in breast tissue that mimic malignancy on mammograms.

    Purpose of the Study:

    • To categorize mammographic changes following breast cancer treatment.
    • To study the temporal evolution of these radiotherapy-induced changes.
    • To identify reliable mammographic signs for differentiating post-treatment changes from local recurrence.

    Main Methods:

    • Serial mammographic assessments of 57 breast cancer patients post-excision and radiotherapy.
    • Categorization of radiotherapy-related mammographic appearances.

    Related Experiment Videos

  • Analysis of changes in mammographic features over time.
  • Identification of residual tumor and local recurrence based on specific mammographic criteria.
  • Main Results:

    • Specific mammographic patterns were observed following radiotherapy.
    • The development of mass lesions and changes in malignant-type microcalcification were key indicators.
    • Residual tumor was identified by persistent malignant-type microcalcification.
    • Local recurrence was detected through mammographic findings.

    Conclusions:

    • Mammography can effectively monitor breast cancer patients after radiotherapy.
    • Distinguishing radiotherapy-induced changes from recurrence is possible by assessing the degree and timing of mammographic reactions.
    • Mass development and malignant microcalcification changes are crucial signs for detecting recurrence.