Comput. Aided Surg. - Evaluation of a computational model to predict elbow range of motion.

Tópicos

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Resumo

Computer models capable of predicting elbow flexion and extension range of motion (ROM) limits would be useful for assisting surgeons in improving the outcomes of surgical treatment of patients with elbow contractures. A simple and robust computer-based model was developed that predicts elbow joint ROM using bone geometries calculated from computed tomography image data. The model assumes a hinge-like flexion-extension axis, and that elbow passive ROM limits can be based on terminal bony impingement. The model was validated against experimental results with a cadaveric specimen, and was able to predict the flexion and extension limits of the intact joint to 0? and 3?, respectively. The model was also able to predict the flexion and extension limits to 1? and 2?, respectively, when simulated osteophytes were inserted into the joint. Future studies based on this approach will be used for the prediction of elbow flexion-extension ROM in patients with primary osteoarthritis to help identify motion-limiting hypertrophic osteophytes, and will eventually permit real-time computer-assisted navigated excisions.

Resumo Limpo

comput model capabl predict elbow flexion extens rang motion rom limit use assist surgeon improv outcom surgic treatment patient elbow contractur simpl robust computerbas model develop predict elbow joint rom use bone geometri calcul comput tomographi imag data model assum hingelik flexionextens axi elbow passiv rom limit can base termin boni imping model valid experiment result cadaver specimen abl predict flexion extens limit intact joint respect model also abl predict flexion extens limit respect simul osteophyt insert joint futur studi base approach will use predict elbow flexionextens rom patient primari osteoarthr help identifi motionlimit hypertroph osteophyt will eventu permit realtim computerassist navig excis

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