Diabetes Status is Associated With Plantar Soft Tissue Stiffness Measured Using Ultrasound Reverberant Shear Wave Elastography Approach.


Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 24 10 2020
medline: 23 3 2022
entrez: 23 10 2020
Statut: ppublish

Résumé

The purpose of this study was to investigate the association between the mechanical properties of plantar soft tissue and diabetes status. 51 (M/F: 21/30) participants with prediabetes onset (fasting blood sugar [FBS] level > 100 mg/dL), age >18 years, and no lower limb amputation were recruited after ethical approval was granted from Pontificia Universidad Catolica del Peru ethical review board. Ultrasound reverberant shear wave elastography was used to assess the soft tissue stiffness at the 1st metatarsal head (MTH), 3rd MTH, and the heel at both feet. Spearman's rank-order correlation (rho) test indicated a significant ( An association between fasting blood sugar level and the stiffness of the plantar soft tissue with higher values of shear wave speed in diabetes versus prediabetes group was observed. This indicated that the proposed approach can improve the assessment of the severity of diabetic foot complications with potential implications in patient stratification.

Identifiants

pubmed: 33095039
doi: 10.1177/1932296820965259
pmc: PMC8861805
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

478-490

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Auteurs

Roozbeh Naemi (R)

Centre for Biomechanics and Rehabilitation Technologies, School of Life Sciences and Education, Staffordshire University, Staffordshire, UK.

Stefano E Romero Gutierrez (SE)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

David Allan (D)

Centre for Biomechanics and Rehabilitation Technologies, School of Life Sciences and Education, Staffordshire University, Staffordshire, UK.

Gilmer Flores (G)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

Juvenal Ormaechea (J)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.
Department of Electrical and Computer Engineering, University of Rochester, New York, USA.

Evelyn Gutierrez (E)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

Jessica Casado-Pena (J)

Day Hospital Unit, Hospital Militar Geriatrico, Lima, Peru.

Sharon Anyosa-Zavaleta (S)

Translational Unit, Institute of Omics and Applied Biotechnology, Pontificia Universidad Catolica del Peru, Lima, Peru.

Mauricio Juarez (M)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

Fanny Casado (F)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

Benjamin Castaneda Aphan (B)

Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Catolica del Peru, Lima, Peru.

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