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

Observer errors in assessing tumour size from liver scans

V Barnett

    Bulletin Du Cancer
    |January 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    Liver scan analysis for hepatic cancer shows significant misclassification risks. Oncologists may incorrectly assess disease progression or regression due to variability in scan interpretation and data rounding.

    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

    Methods to improve diagnostic accuracy in a community mental health setting.

    The American journal of psychiatry·2000
    Same author

    Environmental statistics: analysing data for environmental policy. Introduction.

    Novartis Foundation symposium·1999
    Same author

    Predicting wheat yields: the search for valid and precise models.

    Ciba Foundation symposium·1997
    Same author

    Ethical considerations in the management of individuals with severe neuromuscular disorders.

    American journal of physical medicine & rehabilitation·1994
    Same author

    Permanent tooth eruption in Hasidic children.

    Dental hygiene·1986
    Same author

    False-positive and false-negative misclassification of liver scans.

    Methods of information in medicine·1978
    Same journal

    [ONCONNECTE À L'EMPLOI, feedback after three years of a program to prepare for returning to work after cancer in Franche-Comté].

    Bulletin du cancer·2026
    Same journal

    [Off-label use of venetoclax in myeloma].

    Bulletin du cancer·2026
    Same journal

    [Cemiplimab - Adjuvant treatment for the cutaneous squamous cell carcinomas with high risk of relapse, operated and treated by radiotherapy].

    Bulletin du cancer·2026
    Same journal

    Real-world outcomes and management of endometrial cancer in France from 2016 to 2021 (MOONBEAM study).

    Bulletin du cancer·2026
    Same journal

    [Cardiotoxicity in children and adolescents with acute leukemia: Recommendations from the Leukemia Committee of the French Society of Childhood Cancer (SFCE)].

    Bulletin du cancer·2026
    Same journal

    [Reirradiation: A new therapeutic paradigm in oncology].

    Bulletin du cancer·2026
    See all related articles

    Area of Science:

    • Oncology
    • Radiology
    • Medical Imaging Analysis

    Background:

    • Liver scan interpretation is crucial for assessing hepatic cancer progression or regression.
    • Perfusion defect size changes are key indicators in disease monitoring.

    Purpose of the Study:

    • To quantify the extent of misclassification in liver scan interpretation for hepatic cancer.
    • To identify factors contributing to diagnostic errors in liver scan analysis.

    Main Methods:

    • Experienced oncologists evaluated a set of actual liver scans.
    • Probabilities of misclassification were estimated for different assessment scenarios.
    • The influence of data rounding on misclassification was examined.

    Main Results:

    Related Experiment Videos

    • Significant probabilities of misclassification were observed.
    • Misclassification occurred at rates of 0.23 (single investigator, two occasions) and 0.37 (different investigators).
    • Unjustified rounding of measured values was identified as a major contributing factor.

    Conclusions:

    • Current liver scan interpretation methods carry a substantial risk of misclassification.
    • Standardizing interpretation protocols and data handling is essential to improve diagnostic accuracy in hepatic cancer management.