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

837
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...
837

You might also read

Related Articles

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

Sort by
Same author

Does <sup>18</sup>F-sodium fluoride PET/CT have a role in the assessment of response to <sup>223</sup>Ra therapy in men with prostatic bone metastases?

European journal of nuclear medicine and molecular imaging·2026
Same author

An evaluation of dual-layer detector spectral CT for the estimation of MRI proton density fat fraction of the liver.

Quantitative imaging in medicine and surgery·2026
Same author

Analytics Methodology to Quantify MRI Exam Utilization.

Journal of imaging informatics in medicine·2026
Same author

Anatomical dynamics define cancer cachexia subtypes and identify systemic inflammation as a marker of lethal wasting.

medRxiv : the preprint server for health sciences·2026
Same author

AI-driven Abdominal Aortic Calcification Extracted From Contrast-enhanced CT Is Predictive of All-cause Mortality and Cardiovascular Events in a Large Adult Population.

Journal of computer assisted tomography·2026
Same author

CT-based Opportunistic Screening for Adding Clinical Value: How I Do It.

Radiology·2026

Related Experiment Video

Updated: Apr 3, 2026

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
08:52

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

24.5K

Automated CT-Based Muscle Density Predicts Mortality Regardless of Muscle Area.

Adam J Kuchnia1, Glen M Blake2, Matthew H Lee3

  • 1Department of Nutritional Sciences, University of Wisconsin, Madison, Wisconsin, USA.

Journal of Cachexia, Sarcopenia and Muscle
|April 2, 2026
PubMed
Summary
This summary is machine-generated.

AI-driven muscle density assessment from CT scans is a superior predictor of all-cause mortality in adults compared to muscle area. This technology can enhance risk stratification for aging and sarcopenic individuals.

Keywords:
body compositioncomputed tomography (CT)mortality predictionmuscle densitymuscle qualitymyosteatosisopportunistic imaging

More Related Videos

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

12.1K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

1.0K

Related Experiment Videos

Last Updated: Apr 3, 2026

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
08:52

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

24.5K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

12.1K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

1.0K

Area of Science:

  • Radiology
  • Gerontology
  • Artificial Intelligence in Medicine

Background:

  • Skeletal muscle assessment via CT scans offers prognostic value for all-cause mortality in aging populations.
  • The predictive capabilities of AI-segmented muscle area and density for long-term survival require evaluation.

Purpose of the Study:

  • To assess if AI-segmented muscle area and density from abdominal CT scans predict long-term survival in a large adult cohort.
  • To compare the predictive power of muscle density versus muscle area for all-cause mortality.

Main Methods:

  • Retrospective analysis of 151,141 adult patients undergoing abdominal CT between 2000-2021.
  • AI algorithm quantified L3-level muscle area (cm²) and density (HU).
  • Survival analysis using Kaplan-Meier curves and multivariable hazard ratio models.

Main Results:

  • Lower muscle density significantly predicted higher mortality (HR up to 4.0 in men).
  • Muscle area had a more modest effect on mortality, particularly in women.
  • High muscle density correlated with favorable survival; low density with worst survival.

Conclusions:

  • Automated CT-based muscle density measurement surpasses muscle area in predicting all-cause mortality in diverse adult populations.
  • Integrating AI-driven muscle density assessment can improve risk stratification for aging and sarcopenic patients.