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

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

520
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...
520
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.5K
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...
1.5K
Drug Product Performance: In Vitro–In Vivo Correlation01:20

Drug Product Performance: In Vitro–In Vivo Correlation

330
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
330
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

613
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
613
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.6K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Performance of Statistical and Machine Learning Risk Prediction Models for Advanced Breast Cancers.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Using Artificial Intelligence to Improve Timeliness of Follow-Up in Breast Cancer Screening.

Journal of the American College of Radiology : JACR·2026
Same author

Trends in Pediatric Imaging From 1997 to 2024 in an Integrated Health Care Setting.

Hospital pediatrics·2026
Same author

In what clinical settings are the MASAI trial results applicable?

Nature reviews. Clinical oncology·2026
Same author

Outcomes of Density-Targeted Supplemental Breast Magnetic Resonance Imaging Screening by Breast Cancer Risk: Long-Term Health and Economic Considerations.

Annals of internal medicine·2026
Same author

Acceptability of a practical geriatric assessment intervention with older adult cancer survivors and community health workers/promotoras: a qualitative investigation.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026

Related Experiment Video

Updated: Mar 1, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

331

Correlation Between Screening Mammography Interpretive Performance on a Test Set and Performance in Clinical

Diana L Miglioretti1, Laura Ichikawa2, Robert A Smith3

  • 1Division of Biostatistics, Department of Public Health Sciences, University of California Davis School of Medicine, One Shields Ave., Med Sci 1C, Room 145, Davis, CA 95616; Kaiser Permanente Washington Health Research Institute, Seattle, Washington.

Academic Radiology
|May 29, 2017
PubMed
Summary

Radiologists' screening mammography test set performance does not strongly correlate with clinical practice. Test sets better reflect real-world performance when cancer prevalence is low and lesions are difficult to detect.

Keywords:
Screening mammographyinterpretive performancetest sets

More Related Videos

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

999

Related Experiment Videos

Last Updated: Mar 1, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

331
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

999

Area of Science:

  • Radiology
  • Medical Imaging
  • Breast Cancer Screening

Background:

  • Assessing radiologists' interpretive performance using test sets is crucial for ensuring accurate screening mammography.
  • Existing evidence is inconsistent regarding the correlation between performance on test sets and in clinical practice.

Purpose of the Study:

  • To estimate the correlation between radiologists' performance on screening mammography test sets and their clinical practice.
  • To determine if cancer prevalence or lesion difficulty in test sets influences this correlation.

Main Methods:

  • 83 radiologists evaluated test sets of screening mammograms with varying cancer prevalence and lesion difficulty.
  • Radiologists' sensitivity and specificity were calculated using established gold standards.
  • Spearman rank correlations were used to compare test set performance with clinical performance.

Main Results:

  • Weak to moderate correlations were observed for sensitivity in test sets with low cancer prevalence and difficult lesions.
  • Specificity correlations were weak in these challenging test sets.
  • Correlations were near zero and not significant for test sets with higher cancer prevalence.

Conclusions:

  • Screening mammography test set performance shows a weak correlation with clinical practice.
  • Test set validity is enhanced when cancer prevalence is low and lesions are challenging, better mirroring clinical scenarios.