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Speckle‐Tracking Sonographic Assessment of Longitudinal Motion of the Flexor Tendon and Subsynovial Tissue in Carpal Tunnel Syndrome
Author(s) -
van Doesburg Margriet H. M.,
Yoshii Yuichi,
Henderson Jacqueline,
Villarraga Hector R.,
Moran Steven L.,
Amadio Peter C.
Publication year - 2012
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.2012.31.7.1091
Subject(s) - medicine , carpal tunnel syndrome , tendon , carpal tunnel , speckle pattern , anatomy , connective tissue , range of motion , intraclass correlation , biomechanics , nuclear medicine , surgery , pathology , clinical psychology , artificial intelligence , computer science , psychometrics
Objectives The aim of this study was to image both tendon and subsynovial connective tissue movement in patients with carpal tunnel syndrome and healthy control volunteers, using sonography with speckle tracking. To estimate accuracy of this tracking method, we used in vivo measurements during surgery to validate the motion estimated with sonography. Methods We recruited 22 healthy volunteers and 18 patients with carpal tunnel syndrome. Longitudinal sonograms of the middle finger flexor digitorum superficialis tendon and subsynovial connective tissue were obtained during finger flexion and extension. The images were analyzed with a speckle‐tracking algorithm. The ratio of the subsynovial connective tissue velocity to tendon velocity was calculated as the maximum velocity ratio, and the shear index, the ratio of tendon to subsynovial connective tissue motion, was calculated. For validation, we recorded flexor digitorum superficialis tendon motion during open carpal tunnel release. Results The shear index was higher in patients than controls ( P < .05), whereas the maximum velocity ratio in extension was lower in patients than controls ( P < .05). We found good intraclass correlation coefficients (>0.08) for shear index and maximum velocity ratio measurements between speckle‐tracking and in vivo measurements. Bland‐Altman analyses showed that all measurements remained within the limits of agreement. Conclusions Speckle tracking is a potentially useful method to assess the biomechanics within the carpal tunnel and to distinguish between healthy individuals and patients with carpal tunnel syndrome. This method, however, needs to be further developed for clinical use, with the shear index and maximum velocity ratio as possible differentiating parameters between patients with carpal tunnel syndrome and healthy individuals.