The aim of this study is to develop a 4D-CT (4 Dimensional Computed Tomography) -scan acquisition method for estimating the cause of posttraumatic impairment of the forearm. Both forearms of patients with posttraumatic impairment of one of the forearm will be scanned using a 4D-CT-scan, during forearm rotation. Rotation of impaired and healthy forearms will be analysed and compared to each other. This method is intended to allow differentiation of motion patterns reflecting an osseous impairment from those caused by soft tissue pathology in order to improve treatment choice.
Forearm and wrist fractures are the most common of all fractures and mostly occur at the distal end of the radius. Distal radius fractures are associated with posttraumatic sequelae, which typically involve restricted forearm rotation. Diagnostics of dynamic traumatic pathologies are conventionally based on static (2D or 3D) imaging protocols using MRI (magnetic resonance imaging) or CT. However, interpretation of indirect suggestive findings - such as edema or abnormal bone positions - limits accuracy and inter-observer reliability. Dynamic 4D imaging (adding the fourth dimension of time) has the potential to discriminate whether forearm rotation deficit is due to an osseous deformity causing bony impingement or whether it is due to non-osseous pathology. Hence it may reduce unnecessary corrective osteotomies and guide the patient and surgeon towards the most effective surgical or conservative treatment choice - expectedly resulting in better outcomes and patient satisfaction. In addition, we aim to develop a classification based on the estimated motion patterns and assess its reliability. Furthermore we aim at acquiring knowledge of physiological mechanics of the radioulnar joint and to assess symmetry in radioulnar joint motions between two healthy forearms on 4D-CT-scans.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
5
Both forearms of the subjects with posttraumatic forearm impairment are scanned with a 4D-CT scanning technique, during forearm rotation.
CHU Montpellier
Montpellier, France
Quantification of forearm motion patterns
Calculate the mean and standard deviation of the healthy versus the affected forearm rotation.
Time frame: the 4D-CT-scan procedure
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