Classifying median nerves in carpal tunnel syndrome: Ultrasound image analysis

• Autorzy: Obuchowicz Rafał , Kruszyńska Julia , Strzelecki Michał

Identyfikatory

DOI

10.1016/j.bbe.2021.02.011

• Języki publikacji: EN

Abstrakty

EN

Rationale and objectives: Carpal tunnel syndrome (CTS) refers to a common median nerve pathology, which is related to an increased pressure in the fibrous/bone canal of the wrist. Ultrasound gained popularity recently as a useful tool for the accurate and repetitive diagnosis of carpal tunnel syndrome. The present study aimed to develop an objective, repetitive technique for assessing median nerves based on carpal tunnel ultrasound texture analysis. Material and methods: Sixty ultrasound images, including 30 images of swollen ‘‘symptomatic” median nerves and 30 normal ‘‘asymptomatic” median nerves, were used in this study. Narrow age group of patients were selected. They were recruited after positive nerve conduction study and with present clinical symptoms reviled on basis of interview and written questionnaire. Meticulous nerve area and echogenicity assessment were conducted in line with existing recommendations. Results: Using the feature-selection tool MaZda, an exhaustive search of the data space was conducted, and four texture features were found for which the classification was the most accurate. Images were classified using a support vector machine with a five-fold cross-verification in MATLAB. Evoked outcomes showed a 79% correct classification rate. Conclusion: Computer analysis of the image echogenicity of the median nerve presented confidence levels comparable to trusted evaluation techniques. Further, it is a promising tool for assessing the nerve’s status in CTS as approach of the CTS assessment free from subjectivity of examiner. The developed method enables nerve classification based on echogenicity that reflects the nerve composition changes not only subjective nerve area assessment.

Słowa kluczowe

EN

carpal tunnel syndrome; texture analysis; echogenicity; ultrasonic detection

PL

zespół kanału nadgarstka; analiza tekstury; echogeniczność; wykrywanie ultradźwiękowe

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2021
• Tom: Vol. 41, no. 2
• Strony: 335--351
• Opis fizyczny: Bibliogr. 97 poz., rys., tab., wykr.

Twórcy

autor

Obuchowicz Rafał

• Department of Diagnostic Imaging, Jagiellonian University Medical College, 19 Kopernika Street, 31–501 Krakow, Poland

autor

Kruszyńska Julia

• Institute of Electronics, Łódź University of Technology, ul. Wolczanska 211/215, 90 924 Łódź , Poland

autor

Strzelecki Michał

• Institute of Electronics, Łódź University of Technology, ul. Wolczanska 211/215, 90 924 Łódź , Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).