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Detecting and Monitoring Periprosthetic Joint Infection by Using Electrical Bioimpedance Spectroscopy: A Preliminary Case Study.
Balato, Marco; Petrarca, Carlo; Arpaia, Pasquale; Moccaldi, Nicola; Mancino, Francesca; Carleo, Giusy; Minucci, Simone; Mariconda, Massimo; Balato, Giovanni.
Afiliação
  • Balato M; Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80125 Napoli, Italy.
  • Petrarca C; Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80125 Napoli, Italy.
  • Arpaia P; Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80125 Napoli, Italy.
  • Moccaldi N; Interdepartmental Research Center on Management and Innovation in Healthcare, (CIRMIS), University of Naples "Federico II", 80131 Napoli, Italy.
  • Mancino F; Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80125 Napoli, Italy.
  • Carleo G; Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80125 Napoli, Italy.
  • Minucci S; Department of Neuroscience and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Napoli, Italy.
  • Mariconda M; Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy.
  • Balato G; Interdepartmental Research Center on Management and Innovation in Healthcare, (CIRMIS), University of Naples "Federico II", 80131 Napoli, Italy.
Diagnostics (Basel) ; 12(7)2022 Jul 10.
Article em En | MEDLINE | ID: mdl-35885583
ABSTRACT
A method to detect the presence of infection after Total Joint Arthroplasty is presented. The method is based on Electrical Bioimpedance Spectroscopy and guarantees low latency, non-invasiveness, and cheapness with respect to the state of art. Experimental measurements were carried out on a singular patient who had already undergone bilateral Total Knee Arthroplasty. He was affected by a hematogenous Periprosthetic Joint Infections on the left knee. The right knee was adopted as the reference. Measurements were acquired once before the surgical procedure (Diagnosis Phase) and twice in the postoperative phases (Monitoring Phase). The most relevant frequency range, for diagnosis and monitoring phases, was found to be between 10 kHz to 50 kHz. The healing trend predicted by the decrease of impedance magnitude spectrum was reflected in clinical and laboratory results. In addition, one month after the last acquisition (two months after the surgery), the patient fully recovered, confirming the prediction of the Electrical Bioimpedance Spectroscopy technique.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article