Abstract
We present a new software application that allows measuring the finger extension in every joint of a patient with Dupuytren contracture (DC). Using this data, the application automatically identifies the degree of Dupuytren contracture using Tubiana’s classification and combines the diagnosis in the form of a short code, where the hand (left\right), affected finger/cord, affected joints, and degree for every finger are encrypted. Palmar aponeurosis cords are marked as C (cord) with a number from 1C to 5C, type of contracture, and affected joints marked by Latin letters, where D, digital (only PIP joint contracture); P, palmar (only MP joint contracture); PD, palmar-digital (MP + PIP joints contracture); and T, total (all MP + PIP + DIP joints contracture). The stage of the disease is indicated by Roman numbers from I to IV, the hand by L or R. Thus, DCL4C-P-III means that patient has stage III of Dupuytren contracture of the left hand with primary affection (cord) of 4th finger and limited extension in metacarpophalangeal joint.
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Zhigalo, A., Lesniakov, A., Innokentiy, H., Silaev, A., Morozov, V., Chernov, V. (2017). Application for Determining the Degree and Diagnose Code of Dupuytren Contracture by Digital Photography. In: Werker, P., Dias, J., Eaton, C., Reichert, B., Wach, W. (eds) Dupuytren Disease and Related Diseases - The Cutting Edge. Springer, Cham. https://doi.org/10.1007/978-3-319-32199-8_31
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DOI: https://doi.org/10.1007/978-3-319-32199-8_31
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