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

Cancer Survival Analysis01:21

Cancer Survival Analysis

345
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...
345
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.0K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.0K
Actuarial Approach01:20

Actuarial Approach

78
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
78
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

137
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
137

You might also read

Related Articles

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

Sort by
Same author

Enhancing the OncoSim-Breast model using Canadian breast density information.

Health reports·2026
Same author

TMIST Lead-In Randomized Trial of Breast Tomosynthesis Versus Digital Mammography: Results in Women Ineligible for the Full TMIST Trial Due to Age (40-44 or ≥ 75 Years Old).

AJR. American journal of roentgenology·2026
Same author

More than density: validating a mammographic masking prediction model in Dutch breast cancer screening.

European radiology·2025
Same author

Intra-tumoral spatial heterogeneity in breast cancer quantified using high-dimensional protein multiplexing and single cell phenotyping.

Breast cancer research : BCR·2025
Same author

Cost-Effectiveness of Breast Cancer Screening Using Digital Mammography in Canada.

JAMA network open·2025
Same author

A Modified Bleaching Method for Multiplex Immunofluorescence Staining of FFPE Tissue Sections.

Applied immunohistochemistry & molecular morphology : AIMM·2024
Same journal

Breast Cancer Risk and Screening in Active Duty Military Members and Veterans.

Journal of breast imaging·2026
Same journal

Correction to: Prevalence of Axillary Arch Variant Anatomy on Breast MRI and Impact on Axillary Lymph Node Assessment.

Journal of breast imaging·2026
Same journal

Breast Arterial Calcification on Mammography: Act Now Please.

Journal of breast imaging·2026
Same journal

Breast Arterial Calcification as a Predictor for Future Cardiovascular Events and Mortality: A Systematic Review and Meta-analysis.

Journal of breast imaging·2026
Same journal

Imaging Features and Risk Factors Associated with Locoregional Recurrence of Breast Cancer: Insights for Imaging and Clinical Practice.

Journal of breast imaging·2026
Same journal

A Framework for Aligning 5-Year and Lifetime Breast Cancer Risk in Women Without High-Penetrance Mutations.

Journal of breast imaging·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.3K

Breast Cancer Screening: Beyond Mortality.

Martin J Yaffe1,2, Roberta A Jong2, Kathleen I Pritchard3

  • 1Sunnybrook Health Sciences Centre and The University of Toronto, Departments of Medical Biophysics, Toronto, ON, Canada.

Journal of Breast Imaging
|March 1, 2024
PubMed
Summary
This summary is machine-generated.

Evaluating breast cancer screening effectiveness requires considering life-years gained and reduced treatment morbidities, not just mortality. Quantifying screening harms alongside benefits offers a more complete picture.

Keywords:
QALYsbenefits and harmsbreast cancerlife-yearsmorbidityscreening mammography

More Related Videos

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

265
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K

Related Experiment Videos

Last Updated: Jul 1, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.3K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

265
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K

Area of Science:

  • Oncology
  • Public Health
  • Health Economics

Background:

  • Traditional breast cancer screening effectiveness is measured by mortality reduction.
  • This metric may not fully capture the disease burden, especially for younger women.
  • Treatment morbidities and screening harms are often overlooked in evaluations.

Purpose of the Study:

  • To discuss and quantify alternative metrics for breast cancer screening effectiveness.
  • To incorporate life-years gained and quality-adjusted life-years (QALYs) into screening assessments.
  • To provide a balanced perspective by quantifying both benefits and harms of screening.

Main Methods:

  • Review and discussion of alternative metrics for evaluating screening effectiveness.
  • Quantification of life-years and QALYs gained through earlier breast cancer detection.
  • Analysis of treatment-related morbidities associated with earlier detection.
  • Assessment and quantification of harms and limitations of cancer screening.

Main Results:

  • Mortality reduction alone may underestimate the true value of breast cancer screening.
  • Life-years gained and QALYs offer a more comprehensive measure of screening benefits.
  • Earlier detection can reduce treatment morbidities, a benefit often neglected.
  • Harms of screening are frequently underestimated and lack perspective relative to benefits.

Conclusions:

  • Alternative metrics like life-years gained and QALYs provide a more holistic view of breast cancer screening effectiveness.
  • Incorporating reduced morbidities and quantified harms offers a more accurate risk-benefit analysis.
  • A broader evaluation framework is crucial for understanding the full impact of breast cancer screening on individuals and society.