» Articles » PMID: 36065509

The Effect of Computed Tomography Parameters on Sarcopenia and Myosteatosis Assessment: a Scoping Review

Overview
Date 2022 Sep 6
PMID 36065509
Authors
Affiliations
Soon will be listed here.
Abstract

Computed tomography (CT) is a valuable assessment method for muscle pathologies such as sarcopenia, cachexia, and myosteatosis. However, several key underappreciated scan imaging parameters need consideration for both research and clinical use, specifically CT kilovoltage and the use of contrast material. We conducted a scoping review to assess these effects on CT muscle measures. We reviewed articles from PubMed, Scopus, and Web of Science from 1970 to 2020 on the effect of intravenous contrast material and variation in CT kilovoltage on muscle mass and density. We identified 971 articles on contrast and 277 articles on kilovoltage. The number of articles that met inclusion criteria for contrast and kilovoltage was 11 and 7, respectively. Ten studies evaluated the effect of contrast on muscle density of which nine found that contrast significantly increases CT muscle density (arterial phase 6-23% increase, venous phase 19-57% increase, and delayed phase 23-43% increase). Seven out of 10 studies evaluating the effect of contrast on muscle area found significant increases in area due to contrast (≤2.58%). Six studies evaluating kilovoltage on muscle density found that lower kilovoltage resulted in a higher muscle density (14-40% increase). One study reported a significant decrease in muscle area when reducing kilovoltage (2.9%). The use of contrast and kilovoltage variations can have dramatic effects on skeletal muscle analysis and should be considered and reported in CT muscle analysis research. These significant factors in CT skeletal muscle analysis can alter clinical and research outcomes and are therefore a barrier to clinical application unless better appreciated.

Citing Articles

Intermuscular adipose tissue affected muscle density more than intramuscular adipose tissue content with opportunistic screening at abdominal CT.

Guo X, Cao N, Deng X, Wang N, Li R, Ren S Sci Rep. 2025; 15(1):8172.

PMID: 40059242 PMC: 11891326. DOI: 10.1038/s41598-025-85946-8.


Preoperative sarcopenia and postoperative accelerated muscle loss negatively impact survival after resection of locally advanced gastric cancer.

Li X, Ding P, Wu J, Wu H, Yang P, Guo H BMC Cancer. 2025; 25(1):269.

PMID: 39953409 PMC: 11829415. DOI: 10.1186/s12885-025-13674-3.


Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset.

Jeong C, Lim D, Noh S, Lee S, Park C BMC Med Inform Decis Mak. 2025; 25(1):61.

PMID: 39910567 PMC: 11796039. DOI: 10.1186/s12911-025-02900-4.


Comparing fully automated AI body composition biomarkers at differing virtual monoenergetic levels using dual-energy CT.

Toia G, Garret J, Rose S, Szczykutowicz T, Pickhardt P Abdom Radiol (NY). 2024; .

PMID: 39643734 DOI: 10.1007/s00261-024-04733-7.


Influence of myosteatosis on survival of patients with pancreatic cancer: A systematic review and meta-analysis.

Zhang X, Wei L, Li J, Deng Y, Xu W, Chen D iScience. 2024; 27(12):111343.

PMID: 39640579 PMC: 11617386. DOI: 10.1016/j.isci.2024.111343.


References
1.
van Vugt J, Coebergh van den Braak R, Schippers H, Veen K, Levolger S, de Bruin R . Contrast-enhancement influences skeletal muscle density, but not skeletal muscle mass, measurements on computed tomography. Clin Nutr. 2017; 37(5):1707-1714. DOI: 10.1016/j.clnu.2017.07.007. View

2.
Morsbach F, Zhang Y, Martin L, Lindqvist C, Brismar T . Body composition evaluation with computed tomography: Contrast media and slice thickness cause methodological errors. Nutrition. 2018; 59:50-55. DOI: 10.1016/j.nut.2018.08.001. View

3.
Fearon K, Strasser F, Anker S, Bosaeus I, Bruera E, Fainsinger R . Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011; 12(5):489-95. DOI: 10.1016/S1470-2045(10)70218-7. View

4.
Fuchs G, Chretien Y, Mario J, Do S, Eikermann M, Liu B . Quantifying the effect of slice thickness, intravenous contrast and tube current on muscle segmentation: Implications for body composition analysis. Eur Radiol. 2018; 28(6):2455-2463. DOI: 10.1007/s00330-017-5191-3. View

5.
Georgiev E, Radeva R, Naseva E, Kirova-Nedyalkova G . COMPARISON OF RADIATION DOSE AND IMAGE QUALITY IN CTA OF THE PERIPHERAL ARTERIES. Radiat Prot Dosimetry. 2019; 186(4):437-442. DOI: 10.1093/rpd/ncz045. View