Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Development and internal validation of mammography feature-based prognostic models for distant recurrence-free survival of invasive breast cancer in a screening cohort.

NPJ breast cancer·2026

Same author

Mammo-AGE: deep learning estimation of breast age from mammograms.

Nature communications·2025

Same author

Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history.

NPJ breast cancer·2025

Same author

AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study.

The Lancet. Digital health·2025

Same author

Breast cancer in women after withdrawing from an increased-risk MRI screening program.

European radiology·2025

Same author

Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.

British journal of cancer·2025

Same journal

ESR Essentials: pelvic floor imaging-practice recommendations by the European Society of Urogenital Radiology.

European radiology·2026

Same journal

STIR or T2-Dixon? A false dilemma in musculoskeletal MRI.

European radiology·2026

Same journal

ESR Essentials: uterine cancers-practice recommendations by the European Society of Urogenital Radiology.

European radiology·2026

Same journal

Adjunctive quantification for more reproducible amyloid PET interpretation.

European radiology·2026

Same journal

APEX-NET: automated pancreatic evaluation network using early non-contrast CT.

European radiology·2026

Same journal

Temporal bone remodeling after venous stenting for pulsatile tinnitus: isolated dehiscence versus diverticulum.

European radiology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 14, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Using computer-aided detection in mammography as a decision support.

Maurice Samulski¹, Rianne Hupse, Carla Boetes

¹Department of Radiology, Radboud University Nijmegen Medical Centre, Geert Grooteplein 10, 6500 HB, Nijmegen, The Netherlands. m.samulski@rad.umcn.nl

European Radiology

|June 10, 2010

Summary

This summary is machine-generated.

An interactive computer-aided detection (CAD) system significantly improved mammogram interpretation, increasing cancer detection rates. This advanced CAD system enhanced mass detection without increasing radiologist reading time.

More Related Videos

Author Spotlight: 3D Scanning and Augmented Reality for Enhanced Cancer Surgery Communication

Author Spotlight: 3D Scanning and Augmented Reality for Enhanced Cancer Surgery Communication

Published on: December 15, 2023

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

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

Published on: August 30, 2013

Related Experiment Videos

Last Updated: Jan 14, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Author Spotlight: 3D Scanning and Augmented Reality for Enhanced Cancer Surgery Communication

Author Spotlight: 3D Scanning and Augmented Reality for Enhanced Cancer Surgery Communication

Published on: December 15, 2023

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

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

Published on: August 30, 2013

Area of Science:

Radiology
Medical Imaging
Artificial Intelligence in Healthcare

Background:

Mammography is a key tool for breast cancer screening.
Computer-aided detection (CAD) systems aim to assist radiologists in interpreting mammograms.
Traditional CAD systems have varying impacts on diagnostic accuracy and workflow.

Purpose of the Study:

To evaluate an interactive computer-aided detection (CAD) system for mammogram reading.
To assess the system's impact on radiologists' decision-making and detection performance.
To determine if interactive CAD improves mass detection without prolonging reading times.

Main Methods:

Development of a dedicated mammographic workstation with interactive CAD capabilities.
Reader study involving radiologists and non-radiologists interpreting 120 mammographic cases.
Comparison of detection performance and reading times with and without the interactive CAD system.

Main Results:

Mean sensitivity increased from 25.1% without CAD to 34.8% with CAD assistance (p=0.012).
The interactive CAD system significantly improved mass detection performance.
Average reading time per case remained similar, with no significant increase when using the CAD system.

Conclusions:

Interactive CAD systems show promise for enhancing mammographic mass detection.
This approach may be more effective than traditional CAD by improving accuracy without adding to reading workload.
Further integration of interactive AI tools can potentially optimize breast cancer screening efficiency.