Dynamic imaging of the hand and wrist would give valuable insight in the
complex interaction between tendons, nerves, and their surrounding
tissue also called subsynovial connective tissue (SSCT) during hand
movements. Furthermore, it could provide clinicians and therapists with
valuable information to objectively diagnose patients, or to follow
progress in patients over time making it easier to intervene when
necessary. However, the dynamic behavior of the hand and its tendons and
nerves is hard to capture with a clinical imaging modality, let alone
to quantify its behavior. Therefore we have developed an ultrasound
tracking algorithm capable of quantifying tendon, nerve, and their
surrounding tissue excursions with an accuracy of less than 300μm. We
have assessed the added clinical value of our algorithm in two major
groups of hand injuries, namely CTS and hand tendon injuries.
It is hypothesized that patients suffering from CTS have changes in the
SSCT thereby altering the tendon and nerve dynamics. Using our algorithm
we found that patients having carpal tunnel syndrome (CTS) had a
different approach in using their hand flexor tendons to make a fist.
These differences allowed us to classify up to 86% of the patients as
having CTS.
Different mobilization protocols have been proposed for rehabilitation
after hand flexor tendon surgery that aim at adhesion prevention by
adequate tendon excursion exercises. Although almost all mobilization
protocols only focus on the injured finger, studies have suggested that
the position of the neighboring injured fingers influences tendon
excursions of the injured finger. We found that the position of the
adjacent fingers has a significant influence on the hand flexor tendon
excursion of the injured finger, increasing tendon excursion up to 44%
and possibly decrease tendon adhesions.
http://repub.eur.nl/res/pub/26875/111116_Korstanje%2C%20Jan-Wiebe%20Herman.pdf
http://repub.eur.nl/res/pub/26875/111116_Korstanje%2C%20Jan-Wiebe%20Herman.pdf
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