Close Menu
Healthtost
  • News
  • Mental Health
  • Men’s Health
  • Women’s Health
  • Skin Care
  • Sexual Health
  • Pregnancy
  • Nutrition
  • Fitness
What's Hot

30 minutes Kettlebell Core Workouts to strengthen your abdomen

June 9, 2025

Semaglutide for Weight Loss – Summer Safety and Side Effects Guide

June 9, 2025

Teenagers and sexual education during the Covid-19 pandemic and beyond

June 9, 2025
Facebook X (Twitter) Instagram
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms and Conditions
  • Disclaimer
Facebook X (Twitter) Instagram
Healthtost
SUBSCRIBE
  • News

    AI model detects brain tumors with high precision using epigenetic fingerprints

    June 8, 2025

    The new study warns long -term risks from germ transplants

    June 8, 2025

    Self-collection tests could be a solution to increase access to cervical cancer control

    June 7, 2025

    Preeclampsia associated with long -term brave disbelief and worsening the effects of stroke

    June 7, 2025

    In Axing’s MRNA contract, Trump delivers another blow to US bio -security, former officials say

    June 6, 2025
  • Mental Health

    Heart attack or panic attack? Why do young people call ambulances for non -managed stress

    June 7, 2025

    My journey, my development, my truth – uninterrupted

    June 6, 2025

    Why I am fighting for mental health change

    June 3, 2025

    Girls with painful periods are twice as high as their peers to have symptoms of anxiety or depression

    June 2, 2025

    Does psychiatric drug kill creativity? Rejecting Van Gogh’s myth

    May 29, 2025
  • Men’s Health

    30 minutes Kettlebell Core Workouts to strengthen your abdomen

    June 9, 2025

    Scientists identify genetic indications that connect air pollution to neurodegeneration

    June 7, 2025

    Do you want a stronger back? This Powerlifter’s secret weapon is a secret weapon

    June 7, 2025

    Chains, bands and greater profits: Guide to deal with resistance

    June 6, 2025

    Phil Stutz, True Magic & Healing Mankind: Useful tools for today’s World – Part 2: Universe 1 and Universe 2

    June 6, 2025
  • Women’s Health

    Making the connection between collagen and recovery from exercise

    June 8, 2025

    Alice Connors for purpose and progress

    June 4, 2025

    8 teenagers of vitamins must actually get

    June 4, 2025

    Reasons for frequent urination

    June 3, 2025

    Life with myalgian encephalomyelitis/chronic fatigue syndrome

    June 3, 2025
  • Skin Care

    Semaglutide for Weight Loss – Summer Safety and Side Effects Guide

    June 9, 2025

    10 signs it’s time to see an acne expert

    June 8, 2025

    11 Important facts for Botox Botox hood

    June 7, 2025

    Liposcopy: Is it right for you?

    June 7, 2025

    Ideas for father’s day and beyond

    June 4, 2025
  • Sexual Health

    Teenagers and sexual education during the Covid-19 pandemic and beyond

    June 9, 2025

    The odd rise of cases of syphilis to heterosexual men in the UK

    June 8, 2025

    The Role of Certified LGBTQ Certified Sexual Therapist – Sexual Health Alliance

    June 7, 2025

    How Pride paved the way for sexual well -being

    June 5, 2025

    Best male masturbation positions Female

    June 4, 2025
  • Pregnancy

    Love in Melbourne Australia – Tiffany Rose Maternity Blog UK

    June 8, 2025

    How to remain calm with high blood pressure during pregnancy?

    June 7, 2025

    Pink Stork’s flagship product – as shown in “Empowered by Meg Ryan”

    June 7, 2025

    You don’t have to know everything – only that before birth

    June 6, 2025

    Top 100 Names of Girls 2024

    June 5, 2025
  • Nutrition

    The busy mom’s driver for intestinal-brain connection

    June 7, 2025

    Healthy Banana Bread (Child Approved) Sarah Remat

    June 6, 2025

    The secret to the loss of persistent belly fat by registered dieticians

    June 5, 2025

    Why are you always tired and what to do

    June 5, 2025

    20 herbal and wonderful recipes with appetizers

    June 4, 2025
  • Fitness

    Creamy all the toast Avocado bagel (easy, salty breakfast!)

    June 8, 2025

    Men’s Health Month: Dealing longevity vacuum

    June 7, 2025

    Best 12 biceps exercises ranked: build larger and stronger weapons

    June 6, 2025

    Próximamente el 10 de junio: 25 minutes of train de Joel Freeman

    June 5, 2025

    The best weight counter to add to your home gym in your 2025

    June 5, 2025
Healthtost
Home»News»AI predicts mortality with whole-body MRI for personalized health insights
News

AI predicts mortality with whole-body MRI for personalized health insights

healthtostBy healthtostDecember 6, 2024No Comments4 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Reddit WhatsApp Email
Ai Predicts Mortality With Whole Body Mri For Personalized Health Insights
Share
Facebook Twitter LinkedIn Pinterest WhatsApp Email

Harnessing the power of artificial intelligence, researchers are unlocking the potential of whole-body MRI to predict health risks, paving the way for smarter, personalized prevention strategies.

Study: Body composition analysis based on deep learning from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population. Image credit: Juice Flair / Shutterstock

In a recent study published in the journal eBioMedicineresearchers in Germany and the United States developed and validated a deep learning framework for automated volumetric body composition analysis from whole-body Magnetic Resonance Imaging (MRI) and evaluated its prognostic value for predicting all-cause mortality in a large Western population.

Background

Body composition measures, including adipose tissue compartments and skeletal muscle, have shown strong associations with clinical outcomes and are emerging as important imaging biomarkers to improve personalized risk assessment. However, their routine quantification by imaging modalities such as MRI remains limited in clinical workflows due to time and resource constraints. With its superior ability to differentiate tissue types and assess their distribution, MRI offers significant potential for comprehensive analysis of body composition.

The study highlights that manual quantification is labor intensive, while automated approaches could overcome these obstacles. Fully automated volumetric approaches based on Artificial Intelligence (AI) could overcome current limitations, enabling more accurate and scalable assessments. These findings highlight the importance of developing standardized tools to ensure clinical applicability in diverse populations.

About the Study

The study used data from two large population-based cohort studies: the UK Biobank (UKBB), which included participants aged 45-84, and the German National Cohort (NAKO), with participants aged 40-75. Both studies collected comprehensive clinical data and used a detailed MRI protocol, including whole-body T1-weighted Dixon 3D Volumetric Interference Breath-Keeping Interference (3D VIBE) sequences, used to analyze body composition. Ethical approvals were obtained and informed consent was obtained from all participants.

The primary objective was to develop a deep learning framework for the automated quantification of volumetric body composition measures such as subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), skeletal muscle (SM), skeletal muscle fat fraction (SMFF) and intramuscular adipose tissue (IMAT), using whole-body MRI. The performance of the framework was evaluated in the UKBB, focusing on its predictive value for all-cause mortality. The study also aimed to assess correlations between whole-body volumetric measurements and traditional single-slice body composition assessment at the L3 vertebra.

The deep learning model used Dixon sequence imaging inputs to generate segmentation masks, allowing quantification of the volumetric and somatic composition of a slice. Experienced radiologists performed manual annotations for model training and independently validated them. Statistical analyzes included survival modeling and association assessments, using harmonized data sets to minimize allocation differences.

Study Results

The UKBB cohort included 36,317 participants (18,777 women and 17,540 men) with a mean age of 65.1 ± 7.8 years and a mean body mass index (BMI) of 25.9 ± 4.3 kg/m². Body composition analysis revealed higher volumetric subcutaneous adipose tissue (VSAT), skeletal muscle fat fraction (VSMFF) and intramuscular adipose tissue (VIMAT) in females, while males showed greater visceral adipose tissue volume (VVAT) and skeletal muscle volume (VSM). (all p < 0.0001). Similar trends were seen among the 23,725 NAKO participants, whose mean age was 53.9 ± 8.3 years with a mean BMI of 27 ± 4.7 kg/m², as well as body composition measures of the single-incision area at the L3 vertebra for both cohorts.

During a median follow-up period of 4.77 years in the UKBB, 634 deaths (1.7%) were recorded. Kaplan-Meier survival curves showed that participants in the lowest 10th percentile of VSM and the highest 10th percentile of VSMFF and VIMAT showed significantly higher mortality rates (log-rank p <0.0001). Adjusted Cox regression analyzes revealed that lower VSM (aHR: 0.86, 95% CI [0.81–0.91]p < 0.0001) was associated with a reduced risk of mortality, whereas higher VSMFF (aHR: 1.07, 95% CI [1.04–1.11]p < 0.0001) and VIMAT (aHR: 1.28, 95% CI [1.05–1.35]p < 0.0001) were associated with increased risk. In contrast, volumetric VSAT and VVAT measurements showed no substantial association with mortality after adjustment for traditional risk factors.

Analysis of single-slice area measurements at L3 yielded results consistent with volumetric measurements, with lower skeletal muscle area (ASM) and higher fat fraction (ASMFF) and intramuscular adipose tissue (AIMAT) associated with mortality. However, after full adjustment, these associations weakened for ASM and AIMAT. Reclassification analyzes showed that volumetric measurements were more effective in identifying high-risk individuals than single-slice measurements, as evidenced by a significant net improvement in reclassification for skeletal muscle (NRI = 0.053, 95% CI [0.016–0.089]).

Correlation analysis between whole-body and single-slice volumetric measurements showed strong agreement at specific vertebral levels, such as L3 for VAT (R = 0.892) and SM (R = 0.944). These findings were replicated in the NAKO cohort, although the association differed significantly by BMI and gender strata. The deep learning framework demonstrated high accuracy, with Dice coefficients exceeding 0.86 and strong agreement between manual and automated segmentation results (r > 0.97).

conclusions

This study developed an automated deep learning framework for whole-body MRI-based body composition analysis and evaluated its prognostic value for predicting mortality in more than 30,000 individuals. Volumetric measures, including SM, SMFF, and IMAT, were independent predictors of mortality, outperforming traditional single-section approaches, which showed variable associations influenced by gender and BMI. Despite these strengths, the study acknowledged limitations, such as cohort demographics representing predominantly Western populations and limited follow-up duration, which could affect generalizability.

Future research should investigate the clinical complementarity of volumetric analysis with MRI in various populations and imaging protocols.

health Insights mortality MRI personalized predicts wholebody
bhanuprakash.cg
healthtost
  • Website

Related Posts

AI model detects brain tumors with high precision using epigenetic fingerprints

June 8, 2025

The new study warns long -term risks from germ transplants

June 8, 2025

Men’s Health Month: Dealing longevity vacuum

June 7, 2025

Leave A Reply Cancel Reply

Don't Miss
Men's Health

30 minutes Kettlebell Core Workouts to strengthen your abdomen

By healthtostJune 9, 20250

Looking to get your basic training at the next level in just 30 minutes? A…

Semaglutide for Weight Loss – Summer Safety and Side Effects Guide

June 9, 2025

Teenagers and sexual education during the Covid-19 pandemic and beyond

June 9, 2025

Creamy all the toast Avocado bagel (easy, salty breakfast!)

June 8, 2025
Stay In Touch
  • Facebook
  • Twitter
  • Pinterest
  • Instagram
  • YouTube
  • Vimeo
TAGS
Baby benefits body brain cancer care Day Diet disease exercise finds Fitness food Guide health healthy heart Life Loss Men mental Natural Nutrition Patients Pregnancy protein research reveals Review risk routine sex sexual Skin study Therapy Tips Top Training Treatment Understanding ways weight women Workout
About Us
About Us

Welcome to HealthTost, your trusted source for breaking health news, expert insights, and wellness inspiration. At HealthTost, we are committed to delivering accurate, timely, and empowering information to help you make informed decisions about your health and well-being.

Latest Articles

30 minutes Kettlebell Core Workouts to strengthen your abdomen

June 9, 2025

Semaglutide for Weight Loss – Summer Safety and Side Effects Guide

June 9, 2025

Teenagers and sexual education during the Covid-19 pandemic and beyond

June 9, 2025
New Comments
    Facebook X (Twitter) Instagram Pinterest
    • About Us
    • Contact Us
    • Privacy Policy
    • Terms and Conditions
    • Disclaimer
    © 2025 HealthTost. All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.