ArticleMayo Clinic proceedings2024
Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality.
Article in Mayo Clinic proceedings, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Defining Reference Values for Skeletal Muscle Metrics on Abdominal CT Using Data From Healthy Young Adult Populations: A Systematic Review and Meta-Analysis.AJR. American journal of roentgenology · 2025Pooled it
- Volumetric assessment from L2 to L4 improves the reliability and validity of body composition by CT.European journal of radiology · 2026Article
- Heterogeneous associations of regional adipose depots with liver fibrosis in U.S. adults.Metabolism open · 2026Article
- Development and Validation of a Predictive Nomogram for Progression from Pre-COPD to Spirometric COPD: A Multicenter Retrospective Cohort Study.International journal of chronic obstructive pulmonary disease · 2026Article
- Aging and lung diseases: Unraveling mechanisms and therapeutic targets.Chinese medical journal pulmonary and critical care medicine · 2025Review
- Associations Between Deep Learning-Derived Fat, Muscle, and Bone Measures From Abdominal Computed Tomography Scans and Fall Risk in Persons Aged 20 Years or Older.Mayo Clinic proceedings. Digital health · 2025Article
- What Is 'Muscle Health'? A Narrative Review and Conceptual Framework.Journal of functional morphology and kinesiology · 2025Review
- A comparison between radiomic biological age and chronological age in estimating kidney function.Scientific reports · 2025Article
- Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity.Nature communications · 2025Article
- Factors related to the progression of chronic obstructive pulmonary disease: a retrospective case-control study.BMC pulmonary medicine · 2025Article
- Association between weight-adjusted-waist index and gynecologic cancers: a population-based study.Frontiers in nutrition · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo determine whether body composition derived from medical imaging may be useful for assessing biologic age at the tissue level because people of the same chronologic age may vary with respect to their biologic age.
methodsWe identified an age- and sex-stratified cohort of 4900 persons with an abdominal computed tomography scan from January 1, 2010, to December 31, 2020, who were 20 to 89 years old and representative of the general population in Southeast Minnesota and West Central Wisconsin. We constructed a model for estimating tissue age that included 6 body composition biomarkers calculated from abdominal computed tomography using a previously validated deep learning model.
resultsOlder tissue age associated with intermediate subcutaneous fat area, higher visceral fat area, lower muscle area, lower muscle density, higher bone area, and lower bone density. A tissue age older than chronologic age was associated with chronic conditions that result in reduced physical fitness (including chronic obstructive pulmonary disease, arthritis, cardiovascular disease, and behavioral disorders). Furthermore, a tissue age older than chronologic age was associated with an increased risk of death (hazard ratio, 1.56; 95% CI, 1.33 to 1.84) that was independent of demographic characteristics, county of residency, education, body mass index, and baseline chronic conditions.
conclusionImaging-based body composition measures may be useful in understanding the biologic processes underlying accelerated aging.
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