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

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Imaging Studies for Cardiovascular System III: X-Ray

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...

Imaging Studies for Cardiovascular System V: CT

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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...

You might also read

Related Articles

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

Sort by

Same author

Invited response

Archives of surgery (Chicago, Ill. : 1960)·2001

Same author

Regiochemistry in aryl radical cyclization onto methylenecycloalkanes

The Journal of organic chemistry·2001

Same author

Platelet aggregation and coagulation and fibrinolysis parameters in both portal and systemic circulations in patients with cirrhosis and hepatocellular carcinoma.

Hepatology research : the official journal of the Japan Society of Hepatology·2001

Same author

Molecular Targeting for Epidermal Growth Factor Receptor Expressed on Breast Cancer Cells by Human Fusion Protein.

Breast cancer (Tokyo, Japan)·2000

Same author

A Humanized Anti-c-erbB-2 Monoclonal Antibody for the Treatment of Breast Cancer.

Breast cancer (Tokyo, Japan)·2000

Same author

A case of Mucinous Carcinoma of the Male Breast with Unusual Ultrasonographic Findings Mimicking Phyllodes Tumor.

Breast cancer (Tokyo, Japan)·2000

Search research articles

Related Experiment Video

Updated: Jun 29, 2026

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

Computer-Aided Diagnosis (CAD) for Mammography: Preliminary Results.

Nakahara¹, Namba, Fukami

¹Breastopia Namba Hospital, 2-112-1 Maruyama, Miyazaki 880-0052, Japan.

Breast Cancer (Tokyo, Japan)

|November 25, 2000

Summary

This study evaluated a computer-aided detection (CAD) system for screening mammograms. The CAD system showed potential as a second reader, accurately detecting microcalcifications and masses in asymptomatic breast cancer patients.

More Related Videos

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

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

Published on: August 9, 2024

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Related Experiment Videos

Last Updated: Jun 29, 2026

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

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

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

Published on: August 9, 2024

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Area of Science:

Radiology
Medical Imaging
Oncology

Background:

Screening mammography is crucial for early breast cancer detection.
Computer-aided detection (CAD) systems aim to improve mammogram interpretation accuracy.
Evaluating CAD system performance in real-world screening scenarios is essential.

Purpose of the Study:

To assess the efficacy of a specific CAD system (ImageChecker M1000) in detecting breast cancer indicators on screening mammograms.
To determine the detection rates for microcalcifications and masses using the CAD system.
To evaluate the CAD system's potential as an adjunct tool for radiologists.

Main Methods:

Retrospective analysis of 260 screening mammograms from 65 patients with asymptomatic breast cancer.
Utilized the ImageChecker M1000 CAD system for analysis.
Mammograms included bilateral cranio-caudal and medio-lateral-oblique views.

Main Results:

The CAD system achieved 100% detection of microcalcifications.
The system correctly identified 79% of mass lesions.
A false positive rate of 0.58 microcalcification marks/film and 0.20 mass marks/film was established.

Conclusions:

The evaluated CAD system demonstrates significant potential as a second reader in mammography screening.
Further advancements in CAD technology are anticipated to enhance the detection accuracy of mass lesions.
The system shows promise for improving early breast cancer detection rates.