Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis  

Oleh:

Papez, B. Jesensek ; Palfy, M. ; Mertik, M. ; Turk, Z.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Journal of International Medical Research vol. 37 no. 03 (May 2009), page 779-790.
Topik: Infrared Thermography; Carpal Tunnel Syndrome

Ketersediaan

Perpustakaan FK Nomor Panggil: J11.K.2009.01 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This study further evaluated a computer-based infrared thermography (IRT) system, which employs artificial neural networks for the diagnosis of carpal tunnel syndrome (CTS) using a large database of 502 thermal images of the dorsal and palmar side of 132 healthy and 119 pathological hands. It confirmed the hypothesis that the dorsal side of the hand is of greater importance than the palmar side when diagnosing CTS thermographically. Using this method it was possible correctly to classify 72.2% of all hands (healthy and pathological) based on dorsal images and over 80% of hands when only severely affected and healthy hands were considered. Compared with the gold standard electromyographic diagnosis of CTS, IRT cannot be recommended as an adequate diagnostic tool when exact severity level diagnosis is required, however we conclude that IRT could be used as a screening tool for severe cases in populations with high ergonomic risk factors of CTS.

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