The sonographic quantitative assessment of the deltoid muscle to detect type 2 diabetes mellitus: a potential noninvasive and sensitive screening method?

Deltoid muscle Diabetes screening Muscle echogenicity Musculoskeletal ultrasound Shoulder Type 2 diabetes mellitus

Journal

BMC endocrine disorders
ISSN: 1472-6823
Titre abrégé: BMC Endocr Disord
Pays: England
ID NLM: 101088676

Informations de publication

Date de publication:
27 Jul 2022
Historique:
received: 03 06 2021
accepted: 20 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 30 7 2022
Statut: epublish

Résumé

In our previous published study, we demonstrated that a qualitatively assessed elevation in deltoid muscle echogenicity on ultrasound was both sensitive for and a strong predictor of a type 2 diabetes (T2DM) diagnosis. This study aims to evaluate if a sonographic quantitative assessment of the deltoid muscle can be used to detect T2DM. Deltoid muscle ultrasound images from 124 patients were stored: 31 obese T2DM, 31 non-obese T2DM, 31 obese non-T2DM and 31 non-obese non-T2DM. Images were independently reviewed by 3 musculoskeletal radiologists, blinded to the patient's category. Each measured the grayscale pixel intensity of the deltoid muscle and humeral cortex to calculate a muscle/bone ratio for each patient. Following a 3-week delay, the 3 radiologists independently repeated measurements on a randomly selected 40 subjects. Ratios, age, gender, race, body mass index, insulin usage and hemoglobin A A statistically significant difference in muscle/bone ratios between the groups was identified with the average ratios as follows: obese T2DM, 0.54 (P < 0.001); non-obese T2DM, 0.48 (P < 0.001); obese non-T2DM, 0.42 (P = 0.03); and non-obese non-T2DM, 0.35. There was excellent inter-observer agreement (intraclass correlation coefficient 0.87) and excellent intra-observer agreements (intraclass correlation coefficient 0.92, 0.95 and 0.94). Using threshold ratios, the sensitivity for detecting T2DM was 80% (95% CI 67% to 88%) with a specificity of 63% (95% CI 50% to 75%). The sonographic quantitative assessment of the deltoid muscle by ultrasound is sensitive and accurate for the detection of T2DM. Following further studies, this process could translate into a dedicated, simple and noninvasive screening method to detect T2DM with the prospects of identifying even a fraction of the undiagnosed persons worldwide. This could prove especially beneficial in screening of underserved and underrepresented communities.

Sections du résumé

BACKGROUND BACKGROUND
In our previous published study, we demonstrated that a qualitatively assessed elevation in deltoid muscle echogenicity on ultrasound was both sensitive for and a strong predictor of a type 2 diabetes (T2DM) diagnosis. This study aims to evaluate if a sonographic quantitative assessment of the deltoid muscle can be used to detect T2DM.
METHODS METHODS
Deltoid muscle ultrasound images from 124 patients were stored: 31 obese T2DM, 31 non-obese T2DM, 31 obese non-T2DM and 31 non-obese non-T2DM. Images were independently reviewed by 3 musculoskeletal radiologists, blinded to the patient's category. Each measured the grayscale pixel intensity of the deltoid muscle and humeral cortex to calculate a muscle/bone ratio for each patient. Following a 3-week delay, the 3 radiologists independently repeated measurements on a randomly selected 40 subjects. Ratios, age, gender, race, body mass index, insulin usage and hemoglobin A
RESULTS RESULTS
A statistically significant difference in muscle/bone ratios between the groups was identified with the average ratios as follows: obese T2DM, 0.54 (P < 0.001); non-obese T2DM, 0.48 (P < 0.001); obese non-T2DM, 0.42 (P = 0.03); and non-obese non-T2DM, 0.35. There was excellent inter-observer agreement (intraclass correlation coefficient 0.87) and excellent intra-observer agreements (intraclass correlation coefficient 0.92, 0.95 and 0.94). Using threshold ratios, the sensitivity for detecting T2DM was 80% (95% CI 67% to 88%) with a specificity of 63% (95% CI 50% to 75%).
CONCLUSIONS CONCLUSIONS
The sonographic quantitative assessment of the deltoid muscle by ultrasound is sensitive and accurate for the detection of T2DM. Following further studies, this process could translate into a dedicated, simple and noninvasive screening method to detect T2DM with the prospects of identifying even a fraction of the undiagnosed persons worldwide. This could prove especially beneficial in screening of underserved and underrepresented communities.

Identifiants

pubmed: 35897066
doi: 10.1186/s12902-022-01107-2
pii: 10.1186/s12902-022-01107-2
pmc: PMC9330649
doi:

Substances chimiques

Glycated Hemoglobin A 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

193

Informations de copyright

© 2022. The Author(s).

Références

Phys Ther. 2008 Nov;88(11):1336-44
pubmed: 18801853
Radiographics. 2016 Oct;36(6):1606-1627
pubmed: 27726738
J Diabetes Res. 2016;2016:6195494
pubmed: 27597979
JAMA. 1998 Nov 25;280(20):1757-63
pubmed: 9842951
J Comput Assist Tomogr. 2018 Mar/Apr;42(2):323-329
pubmed: 28937490
Diabetologia. 2012 Oct;55(10):2551-2554
pubmed: 22660796
Medicine (Baltimore). 2018 Aug;97(31):e11602
pubmed: 30075532
Diabetes Care. 2002 Dec;25(12):2165-71
pubmed: 12453955
Clin Rheumatol. 2021 Jul;40(7):2897-2905
pubmed: 33479863
J Diabetes Investig. 2016 Sep;7(5):649-51
pubmed: 27182002
Diabetes. 2002 Oct;51(10):3025-32
pubmed: 12351443
Biophys Rep. 2015;1:90-98
pubmed: 26942223
Obesity (Silver Spring). 2008 Aug;16(8):1854-60
pubmed: 18535552
No To Hattatsu. 1989 May;21(3):234-8
pubmed: 2660865
QJM. 2015 Nov;108(11):853-7
pubmed: 26025688
Diabetes Care. 2009 Nov;32 Suppl 2:S157-63
pubmed: 19875544
Diabetes Care. 2000 Oct;23(10):1563-80
pubmed: 11023153
N Engl J Med. 1990 Jan 25;322(4):223-8
pubmed: 2403659
Diabetes Care. 2014;37(1):9-16
pubmed: 24356592
Phys Sportsmed. 2014 Sep;42(3):45-52
pubmed: 25295766
Endocrinol Metab Clin North Am. 2008 Dec;37(4):841-56
pubmed: 19026935
Biosensors (Basel). 2017 Feb 23;7(1):
pubmed: 28241495
J Ultrasound Med. 2020 Feb;39(2):323-329
pubmed: 31423604
Br J Clin Pharmacol. 1999 Nov;48(5):643-8
pubmed: 10594464
BMC Endocr Disord. 2019 Feb 15;19(1):23
pubmed: 30770743
Diabetes. 2003 Jan;52(1):138-44
pubmed: 12502504
Radiographics. 2012 Nov-Dec;32(7):1959-74
pubmed: 23150851
AJR Am J Roentgenol. 2021 Feb;216(2):436-445
pubmed: 32755188
BMJ. 2017 Jan 04;356:i6538
pubmed: 28052845
Popul Health Manag. 2017 Feb;20(1):6-12
pubmed: 27124621
Arterioscler Thromb Vasc Biol. 2013 Apr;33(4):863-70
pubmed: 23349188
AJR Am J Roentgenol. 2008 Apr;190(4):1105-11
pubmed: 18356462
BMC Sports Sci Med Rehabil. 2015 Apr 18;7:9
pubmed: 25905021
Diabetes Metab Res Rev. 2000 Jul-Aug;16(4):230-6
pubmed: 10934451
Diabetes Care. 2001 Nov;24(11):1936-40
pubmed: 11679460
Korean J Radiol. 2016 Mar-Apr;17(2):245-54
pubmed: 26957910
Diabetes Care. 2003 Dec;26(12):3230-6
pubmed: 14633807
Front Physiol. 2020 Aug 07;11:963
pubmed: 32903666
Popul Health Metr. 2018 Jun 15;16(1):9
pubmed: 29903012
Metab Syndr Relat Disord. 2014 Jun;12(5):258-68
pubmed: 24512556
Int J Endocrinol. 2014;2014:309570
pubmed: 24527032
Diabetologia. 2021 Jan;64(1):168-180
pubmed: 33128577
J Nutr Health Aging. 2010 May;14(5):362-6
pubmed: 20424803
Am J Clin Nutr. 2008 Jun;87(6):1590-5
pubmed: 18541544
Front Physiol. 2011 Dec 30;2:112
pubmed: 22232606
Eur J Endocrinol. 2017 Feb;176(2):R67-R78
pubmed: 27913612
Curr Diabetes Rev. 2010 Sep;6(5):334-40
pubmed: 20701586
Am J Physiol Endocrinol Metab. 2004 Nov;287(5):E1002-7
pubmed: 15251866
Diabetes Spectr. 2019 Nov;32(4):303-311
pubmed: 31798287
Radiology. 2020 Dec;297(3):608-619
pubmed: 33048033
J Ultrasound Med. 1993 Feb;12(2):73-7
pubmed: 8468739
Prev Chronic Dis. 2016 Jun 16;13:E78
pubmed: 27309415
Front Endocrinol (Lausanne). 2016 Jun 20;7:69
pubmed: 27379021
J Cachexia Sarcopenia Muscle. 2018 Apr;9(2):335-347
pubmed: 29248005

Auteurs

Kelli A Rosen (KA)

Division of Musculoskeletal Radiology, Department of Radiology, Henry Ford Hospital/Wayne State University, 2799 West Grand Blvd, Detroit, MI, 48202, USA.

Anay Thodge (A)

Division of Musculoskeletal Radiology, Department of Radiology, Henry Ford Hospital/Wayne State University, 2799 West Grand Blvd, Detroit, MI, 48202, USA.

Amy Tang (A)

Department of Public Health Sciences, Henry Ford Health System, 1 Ford Place, Detroit, MI, 48202, USA.

Brendan M Franz (BM)

Division of Musculoskeletal Radiology, Department of Radiology, Henry Ford Hospital/Wayne State University, 2799 West Grand Blvd, Detroit, MI, 48202, USA.

Chad L Klochko (CL)

Division of Musculoskeletal Radiology, Department of Radiology, Henry Ford Hospital/Wayne State University, 2799 West Grand Blvd, Detroit, MI, 48202, USA.

Steven B Soliman (SB)

Division of Musculoskeletal Radiology, Department of Radiology, Henry Ford Hospital/Wayne State University, 2799 West Grand Blvd, Detroit, MI, 48202, USA. stevens@rad.hfh.edu.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH