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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

973
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...
973
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

1.8K
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Switching to camizestrant at ESR1 mutation emergence before disease progression during first-line treatment of hormone receptor-positive advanced breast cancer (SERENA-6): extended analysis of a double-blind, placebo-controlled, randomised, phase 3 trial.

The Lancet. Oncology·2026
Same author

2025 Update of the Taiwan Expert Consensus on Hormone Receptor-Positive Metastatic Breast Cancer Management.

Journal of breast cancer·2026
Same author

Correction to: Response evaluations in non-small cell lung cancer patients undergoing immunotherapy: A comparative analysis of RECIST 1.1, iRECIST, and imRECIST criteria.

Medical oncology (Northwood, London, England)·2026
Same author

The moderating and mediating effects of mindful compassion with body-mind-spirit therapy using a blended approach of face-to-face with online for breast cancer patients' depression during COVID-19: A randomized controlled trial.

Internet interventions·2026
Same author

Segmentation of uterus and myoma from MRI image based on deep learning.

Taiwanese journal of obstetrics & gynecology·2026
Same author

Response to comments on "Reassessing regional nodal radiotherapy strategies for breast cancer in the context of modern systemic treatments."

Journal of the Formosan Medical Association = Taiwan yi zhi·2026

Related Experiment Video

Updated: May 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

25.0K

Quantitative analysis for breast density estimation in low dose chest CT scans.

Woo Kyung Moon1, Chung-Ming Lo, Jin Mo Goo

  • 1Department of Radiology, Seoul National University Hospital, Seoul, South Korea.

Journal of Medical Systems
|March 20, 2014
PubMed
Summary

A new computational method accurately measures breast density using chest computed tomography (CT) scans. This CT-based breast density measurement shows a strong correlation with traditional mammography, offering reproducible 3D insights.

More Related Videos

X-Ray Visualization of Intraductal Ethanol-Based Ablative Treatment for Prevention of Breast Cancer in Rat Models
12:57

X-Ray Visualization of Intraductal Ethanol-Based Ablative Treatment for Prevention of Breast Cancer in Rat Models

Published on: December 9, 2022

2.1K
Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
08:02

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

1.1K

Related Experiment Videos

Last Updated: May 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

25.0K
X-Ray Visualization of Intraductal Ethanol-Based Ablative Treatment for Prevention of Breast Cancer in Rat Models
12:57

X-Ray Visualization of Intraductal Ethanol-Based Ablative Treatment for Prevention of Breast Cancer in Rat Models

Published on: December 9, 2022

2.1K
Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
08:02

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

1.1K

Area of Science:

  • Radiology
  • Medical Imaging
  • Computational Biology

Background:

  • Mammographic breast density is a key indicator for breast cancer risk.
  • Accurate breast density measurement is crucial for risk assessment and screening.
  • Current methods like mammography have limitations in visualizing dense tissue.

Purpose of the Study:

  • To develop and validate a computational method for measuring breast density using chest computed tomography (CT) images.
  • To assess the correlation between CT-derived breast density and mammographic density.
  • To evaluate the reproducibility of the CT-based measurement method.

Main Methods:

  • A computational approach using the demons algorithm and fuzzy c-mean clustering was developed to segment fibroglandular tissue from fat tissue in CT images.
  • The percentage of breast density was calculated by summing fibroglandular clusters and dividing by the total breast area across all CT slices.
  • The CT-derived breast density was compared with mammographically estimated density in 69 asymptomatic Asian women.

Main Results:

  • The CT-based method demonstrated high reproducibility, with intraoperator and interoperator coefficients of variation of 3.00% and 3.09%, respectively.
  • Breast density measured by CT (22 ± 0.6%) was lower than that measured by mammography (34 ± 1.9%).
  • A strong positive correlation (Pearson's r=0.88) was observed between CT-derived and mammographic breast density.

Conclusions:

  • Breast density measurement from chest CT images correlates well with mammographic density.
  • The proposed CT-based quantification method provides reproducible 3D information on breast density.
  • This CT method offers a potential alternative or complementary tool for breast density assessment.