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 Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

You might also read

Related Articles

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

Sort by
Same author

Cancer detection in the European Randomised Study of Screening for Prostate Cancer (ERSPC).

BJU international·2026
Same author

Diabetes and Cancer-Specific Survival: A Nationwide Population-Based Cohort Study Across Multiple Cancer Sites.

Cancer reports (Hoboken, N.J.)·2026
Same author

Comparison of the Swedish and Finnish Centers in the European Randomized Study of Screening for Prostate Cancer (ERSPC).

European urology open science·2026
Same author

Association of Childhood Acute Leukemia With Autoimmune Diseases.

International journal of cancer·2026
Same author

Mortality From Amyotrophic Lateral Sclerosis in Finland 1987-2022.

European journal of neurology·2026
Same author

Mortality and cause of death in childhood onset epilepsy: A population-based cohort study in Finland.

Seizure·2026

Related Experiment Video

Updated: Jul 9, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Sensitivity in cancer screening.

Matti Hakama1, Anssi Auvinen, Nicholas E Day

  • 1Tampere School of Public Health, University of Tampere, Tampere, Finland. matti.hakama@uta.fi

Journal of Medical Screening
|December 15, 2007
PubMed
Summary
This summary is machine-generated.

This study introduces three distinct measures of cancer screening sensitivity: test, episode, and programme sensitivity. Applying these to prostate cancer screening in Finland revealed significantly different results for each sensitivity measure.

Related Experiment Videos

Last Updated: Jul 9, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Area of Science:

  • Oncology
  • Public Health
  • Biostatistics

Background:

  • Cancer screening aims to detect disease in the detectable preclinical phase (DPCP).
  • Accurately quantifying screening effectiveness requires precise definitions of sensitivity.
  • Previous methods may not fully capture the multifaceted nature of screening sensitivity.

Purpose of the Study:

  • To propose and define three distinct concepts of sensitivity in cancer screening: test sensitivity, episode sensitivity, and programme sensitivity.
  • To apply these concepts to prostate cancer screening data.
  • To derive formulae for these sensitivities using the incidence method.

Main Methods:

  • Conceptualizing sensitivity based on the screening test, the diagnostic episode, and the overall screening program.
  • Developing formulae for calculating test, episode, and programme sensitivity consistent with the incidence method.
  • Utilizing data from a randomized prostate cancer screening trial in Finland for estimation.

Main Results:

  • Estimates for prostate cancer screening in Finland showed significant differences: test sensitivity was 85%, episode sensitivity was 48%, and programme sensitivity was 36%.
  • The incidence method was used to derive these distinct sensitivity estimates.
  • These findings highlight the variability in sensitivity depending on the definition used.

Conclusions:

  • Multiple concepts of sensitivity are necessary to comprehensively describe a screening program's ability to detect disease in the DPCP.
  • Standard estimation methods may yield different results depending on the sensitivity concept applied.
  • A nuanced understanding of sensitivity is crucial for evaluating and improving cancer screening programs.