AI-driven CT assessment of erector spinae myosteatosis: muscle quality and its association with strength and frailty in older surgical patients.
5 affiliations
- 1Department of Orthopedics and Trauma Surgery, University Medical Center Freiburg, Freiburg, Germany.
- 2Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.
- 3Department of Neurology and Neuroscience, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany.
- 4Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.
- 5Department of Orthopedic Surgery and Traumatology, Odense University Hospital, Odense, Denmark.
Abstract
Background
Frailty and sarcopenia are overlapping syndromes that increase adverse outcomes in older adults. Computed tomography (CT) is a reference standard for body composition analysis, but manual segmentation is time-consuming. This exploratory study used a fully automated deep learning model (DLM) to investigate associations between CT-derived muscle quality and quantity and clinical frailty.Methods
We performed a retrospective, cross-sectional secondary analysis of 53 geriatric surgical patients (mean age 77.4 ± 4.4 years). A DLM segmented skeletal muscle (SM), subcutaneous and visceral adipose tissue at the third lumbar vertebral level. Intermuscular adipose tissue (IMAT) was quantified exclusively within the erector spinae muscle and is therefore reported as a surrogate marker of trunk muscle quality rather than whole-muscle myosteatosis. Frailty was assessed with the Clinical Frailty Scale (CFS), handgrip strength and the Timed Up and Go (TUG) test. Because functional testing was incomplete, effective sample sizes varied (n = 21-53) and are reported for every model.Results
In the total cohort, a higher IMAT Index was associated with lower handgrip strength (ρ = -0.434, p = 0.004, n = 43) and remained independent after adjustment for age, sex, BMI and ASA status (B = -1.808, 95% CI -2.994 to -0.622, p = 0.004, n = 42). Its association with the CFS was borderline univariately (ρ = 0.273, p = 0.051, n = 52) and absent after adjustment (p = 0.184, n = 51). Neither index was independently associated with TUG performance (p = 0.134 and p = 0.071, n = 25). In an exploratory sex-stratified analysis, the IMAT Index correlated with the CFS in women (ρ = 0.727, p < 0.001, n = 19) but not in men. Because the female subgroup was small (n = 20), no sex-stratified regression or interaction test was performed.Conclusions
In this small, retrospective, cross-sectional cohort, an erector-spinae-based IMAT Index was associated with handgrip strength but not independently with global clinical frailty. Automated opportunistic CT analysis may therefore identify specific muscle weakness rather than global frailty. The observed sex differences are hypothesis-generating and require confirmation in larger, adequately powered longitudinal studies.
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BibTeX
@article{mayr2026aidriven,
title = {{AI-driven CT assessment of erector spinae myosteatosis: muscle quality and its association with strength and frailty in older surgical patients.}},
author = {Moritz F Mayr and Thierno D Diallo and Christoph Maurer and Moritz M M Albrecht and Tobias Scheef and Alexander Rau and Marco Reisert and Fabian Bamberg and Hagen Schmal},
journal = {Frontiers in medicine},
year = {2026},
month = oct,
doi = {10.3389/fmed.2026.1935672},
url = {https://europepmc.org/article/MED/42908721},
note = {CC BY},
}
RIS
TY - JOUR
TI - AI-driven CT assessment of erector spinae myosteatosis: muscle quality and its association with strength and frailty in older surgical patients.
AU - Moritz F Mayr
AU - Thierno D Diallo
AU - Christoph Maurer
AU - Moritz M M Albrecht
AU - Tobias Scheef
AU - Alexander Rau
AU - Marco Reisert
AU - Fabian Bamberg
AU - Hagen Schmal
PY - 2026
DA - 2026/10/07
JO - Frontiers in medicine
DO - 10.3389/fmed.2026.1935672
UR - https://europepmc.org/article/MED/42908721
AB - Background Frailty and sarcopenia are overlapping syndromes that increase adverse outcomes in older adults. Computed tomography (CT) is a reference standard for body composition analysis, but manual segmentation is time-consuming. This exploratory study used a fully automated deep learning model (DLM) to investigate associations between CT-derived muscle quality and quantity and clinical frailty.Methods We performed a retrospective, cross-sectional secondary analysis of 53 geriatric surgical patients (mean age 77.4 ± 4.4 years). A DLM segmented skeletal muscle (SM), subcutaneous and visceral adipose tissue at the third lumbar vertebral level. Intermuscular adipose tissue (IMAT) was quantified exclusively within the erector spinae muscle and is therefore reported as a surrogate marker of trunk muscle quality rather than whole-muscle myosteatosis. Frailty was assessed with the Clinical Frailty Scale (CFS), handgrip strength and the Timed Up and Go (TUG) test. Because functional testing was incomplete, effective sample sizes varied (n = 21-53) and are reported for every model.Results In the total cohort, a higher IMAT Index was associated with lower handgrip strength (ρ = -0.434, p = 0.004, n = 43) and remained independent after adjustment for age, sex, BMI and ASA status (B = -1.808, 95% CI -2.994 to -0.622, p = 0.004, n = 42). Its association with the CFS was borderline univariately (ρ = 0.273, p = 0.051, n = 52) and absent after adjustment (p = 0.184, n = 51). Neither index was independently associated with TUG performance (p = 0.134 and p = 0.071, n = 25). In an exploratory sex-stratified analysis, the IMAT Index correlated with the CFS in women (ρ = 0.727, p < 0.001, n = 19) but not in men. Because the female subgroup was small (n = 20), no sex-stratified regression or interaction test was performed.Conclusions In this small, retrospective, cross-sectional cohort, an erector-spinae-based IMAT Index was associated with handgrip strength but not independently with global clinical frailty. Automated opportunistic CT analysis may therefore identify specific muscle weakness rather than global frailty. The observed sex differences are hypothesis-generating and require confirmation in larger, adequately powered longitudinal studies.
SN - 2296-858X
ER -