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

Computed Tomography01:10

Computed Tomography

7.9K
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...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Comparison of temporal muscle indices for survival prediction in patients with glioblastoma: Prognostic value, accuracy and reliability.

Neuro-oncology practice·2026
Same author

Statin Use and Survival in Early Breast Cancer According to Different Intrinsic Subtypes.

JAMA network open·2026
Same author

Body composition and renal cell carcinoma prognosis in elderly patients: a retrospective cohort study.

BMC urology·2026
Same author

Recurrent uncomplicated appendicitis in an adult reveals an underlying goblet cell adenocarcinoma: a case report.

Journal of surgical case reports·2026
Same author

MRI-based measurement of masseter muscle area: reliability and clinical relevance in acute neck infections.

European radiology·2026
Same author

Breast MRI in ductal carcinoma in situ (DCIS) of the breast in clinical practice.

Scandinavian journal of surgery : SJS : official organ for the Finnish Surgical Society and the Scandinavian Surgical Society·2026

Related Experiment Video

Updated: Dec 30, 2025

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

43.5K

Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?

Said Pertuz, Antti Sassi, Otso Arponen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary

    Computerized analysis of breast tissue patterns in mammograms aids breast cancer risk assessment. However, different mammographic systems significantly impact algorithm performance, necessitating integration of imaging technology data into risk models.

    More Related Videos

    Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis
    07:45

    Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis

    Published on: October 25, 2024

    707
    Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
    08:32

    Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

    Published on: October 2, 2020

    6.8K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    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

    43.5K
    Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis
    07:45

    Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis

    Published on: October 25, 2024

    707
    Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
    08:32

    Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

    Published on: October 2, 2020

    6.8K

    Area of Science:

    • Radiology
    • Medical Imaging
    • Biomarkers

    Background:

    • Early breast cancer risk identification is crucial for timely intervention.
    • Computerized analysis of mammographic parenchymal patterns shows promise as an imaging biomarker for risk assessment.
    • Limited research exists on the influence of mammographic acquisition systems on parenchymal analysis performance.

    Purpose of the Study:

    • To implement a parenchymal analysis algorithm for breast cancer risk assessment.
    • To investigate the impact of different mammographic systems on the performance of this algorithm.
    • To determine if imaging technology should be incorporated into risk assessment models.

    Main Methods:

    • Implementation of a computerized parenchymal analysis algorithm.
    • Evaluation of algorithm performance across data acquired from different mammographic systems.
    • Statistical analysis of results using receiver operating characteristic (ROC) curves.

    Main Results:

    • Performance variations of up to 24% in the area under the ROC curve were observed due to different mammographic systems.
    • The study included data from 286 women.
    • Mammographic system parameters demonstrably affect parenchymal analysis efficacy.

    Conclusions:

    • Mammographic system characteristics significantly influence the performance of parenchymal pattern analysis for breast cancer risk assessment.
    • Future risk assessment models utilizing parenchymal analysis should account for variations in imaging technologies.
    • Standardization or system-specific calibration may be necessary for reliable risk stratification.