Influence of CT parameters upon the quantification of sarcopenia and myosteatosis: a study with human bodies

Computed tomography (CT) is increasingly being used in the quantitative assessment of body composition (CT-assessed sarcopenia and myosteatosis), but the effects of varying technical CT parameters on muscle area and density measurements remain unclear. This study analyzed muscle area and density in six human bodies scanned with varying CT parameters (tube current, tube voltage, slice thickness, and iterative reconstruction levels). Significance of differences relative to our institution’s standard CT abdomen protocol and among all individual parameters was assessed, with effect sizes calculated to evaluate the magnitude of observed changes. Small but significant differences were found within all groups of investigated parameters, with most statistical significant differences corresponding to large effect sizes. Compared to our institution’s clinical protocol, tube current showed significant variation in measured muscle area (p < 0.001), but no significant changes in regard to muscle density. Tube voltage and reconstruction level type both showed a significant direct relationship with muscle area (p < 0.001) and inverse relationship with muscle density (p < 0.001). Also, a slice thickness of 0.6 mm, compared to 1 mm, showed significant differences in both muscle area and density (p < 0.001), where no significant variation was observed between 1 mm and thicker slices. In conclusion, CT technical parameters significantly affect muscle area and density measurements. Although individual differences are small, their cumulative effect may lead to clinically significant discrepancies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-08
DOI
https://doi.org/10.1038/s41598-025-34140-x
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of CT parameters upon the quantification of sarcopenia and myosteatosis: a study with human bodies

Reinoud P.H. Bokkers, Marcel J. W. Greuter, Mostafa El Moumni, Issi R. Vedder et al.
Scientific Reports
Nutrition and Health in Aging
article

Influence of CT parameters upon the quantification of sarcopenia and myosteatosis: a study with human bodies

Reinoud P.H. Bokkers, Marcel J. W. Greuter, Mostafa El Moumni, Issi R. Vedder, Alain R. Viddeleer, Stef Levolger
article en

Abstract

Computed tomography (CT) is increasingly being used in the quantitative assessment of body composition (CT-assessed sarcopenia and myosteatosis), but the effects of varying technical CT parameters on muscle area and density measurements remain unclear. This study analyzed muscle area and density in six human bodies scanned with varying CT parameters (tube current, tube voltage, slice thickness, and iterative reconstruction levels). Significance of differences relative to our institution’s standard CT abdomen protocol and among all individual parameters was assessed, with effect sizes calculated to evaluate the magnitude of observed changes. Small but significant differences were found within all groups of investigated parameters, with most statistical significant differences corresponding to large effect sizes. Compared to our institution’s clinical protocol, tube current showed significant variation in measured muscle area (p < 0.001), but no significant changes in regard to muscle density. Tube voltage and reconstruction level type both showed a significant direct relationship with muscle area (p < 0.001) and inverse relationship with muscle density (p < 0.001). Also, a slice thickness of 0.6 mm, compared to 1 mm, showed significant differences in both muscle area and density (p < 0.001), where no significant variation was observed between 1 mm and thicker slices. In conclusion, CT technical parameters significantly affect muscle area and density measurements. Although individual differences are small, their cumulative effect may lead to clinically significant discrepancies.

Scientific ReportsVol. 16(1)
University Medical Center Groningen (NL), University of Groningen (NL), Maasstad Ziekenhuis (NL), Dialyse Centrum Groningen (NL)
Universitair Medisch Centrum Groningen
Openalex Percentile: Top 96%
Nutrition and Health in Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.