Ultrasonic Interferometric Procedure for Quantifying the Bone-Implant Interface.

film thickness interferometric measurement material characterization non-invasive technique prosthesis loosening quantitative ultrasound thin layers ultrasonic reflection

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
26 Jun 2023
Historique:
received: 30 05 2023
revised: 19 06 2023
accepted: 22 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

The loosening of an artificial joint is a frequent and critical complication in orthopedics and trauma surgery. Due to a lack of accuracy, conventional diagnostic methods such as projection radiography cannot reliably diagnose loosening in its early stages or detect whether it is associated with the formation of a biofilm at the bone-implant interface. In this work, we present a non-invasive ultrasound-based interferometric measurement procedure for quantifying the thickness of the layer between bone and prosthesis as a correlate to loosening. In principle, it also allows for the material characterization of the interface. A well-known analytical model for the superposition of sound waves reflected in a three-layer system was combined with a new method in data processing to be suitable for medical application at the bone-implant interface. By non-linear fitting of the theoretical prediction of the model to the actual shape of the reflected sound waves in the frequency domain, the thickness of the interlayer can be determined and predictions about its physical properties are possible. With respect to determining the layer's thickness, the presented approach was successfully applied to idealized test systems and a bone-implant system in the range of approx. 200 µm to 2 mm. After further optimization and adaptation, as well as further experimental tests, the procedure offers great potential to significantly improve the diagnosis of prosthesis loosening at an early stage and may also be applicable to detecting the formation of a biofilm.

Identifiants

pubmed: 37447790
pii: s23135942
doi: 10.3390/s23135942
pmc: PMC10346919
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Age Ageing. 2006 Sep;35 Suppl 2:ii27-ii31
pubmed: 16926200
Clin Biomech (Bristol, Avon). 2001 May;16(4):315-23
pubmed: 11358619
Sensors (Basel). 2012 Dec 20;13(1):1-20
pubmed: 23344370
J Clin Densitom. 2008 Jan-Mar;11(1):163-87
pubmed: 18442758
Curr Osteoporos Rep. 2014 Jun;12(2):154-62
pubmed: 24652476
Bone Joint J. 2014 Oct;96-B(10):1378-84
pubmed: 25274925
Med Eng Phys. 2008 Apr;30(3):278-84
pubmed: 17587635
Oper Orthop Traumatol. 2015 Jun;27(3):237-50; quiz 251
pubmed: 25860787
Orthopade. 2015 Dec;44(12):967-73
pubmed: 26556489
Ann Biomed Eng. 2018 Jan;46(1):97-107
pubmed: 29067562
Diagn Interv Imaging. 2012 Jun;93(6):547-57
pubmed: 22521777
Z Orthop Ihre Grenzgeb. 1997 Jul-Aug;135(4):270-80
pubmed: 9381761
J Bone Miner Res. 2004 Apr;19(4):560-5
pubmed: 15005842
Int J Med Sci. 2013 Oct 25;10(12):1778-83
pubmed: 24273451

Auteurs

Jan Lützelberger (J)

Institute of Sensor and Actuator Technology (ISAT), Coburg University of Applied Sciences and Arts, Am Hofbräuhaus 1b, 96450 Coburg, Germany.

Philipp Arneth (P)

Institute of Sensor and Actuator Technology (ISAT), Coburg University of Applied Sciences and Arts, Am Hofbräuhaus 1b, 96450 Coburg, Germany.

Alexander Franck (A)

Department of Trauma Surgery and Orthopedics, REGIOMED Clinical Center Coburg, Ketschendorfer Str. 33, 96450 Coburg, Germany.
School of Medicine, University of Split, 21000 Split, Croatia.

Klaus Stefan Drese (KS)

Institute of Sensor and Actuator Technology (ISAT), Coburg University of Applied Sciences and Arts, Am Hofbräuhaus 1b, 96450 Coburg, Germany.

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Classifications MeSH