COMPUTER-ASSISTED DISTRACTION OSTEOGENESIS USING THE TAYLOR FRAME: INITIAL CLINICAL EXPERIENCES
Notice bibliographique
Résumé
Our research group has recent clinical experience with our novel computer-assisted method of bone deformity correction using the Taylor spatial frame (Smith & Nephew, Memphis, TN). Practitioners of the Taylor spatial frame admit that there is a steep learning curve in using the frame. This is in large part due to the difficulty in accurately measuring 13 frame parameters and mounting the frame to the patient without inducing residual rotational and translational errors. Our technique aims to reduce complications due to these factors by preoperatively planning the desired correction and calculating the correction based on the actual three-dimensional location of the frame with respect to the anatomy, rather than from traditional radiographs. The surgeon has greater flexibility in choosing the position of the rings since this technique does not depend on placing the rings in a particular configuration. Four clinical procedures have been performed at Kingston General Hospital (Kingston, ON, Canada) to date. The first patient presented with a proximal tibial growth-plate arrest that was secondary to a fracture. The result was a recurvatum deformity secondary to an eccentric growth arrest anteriorly. This deformity caused a stretch of the posterior capsule and posterior cruciate ligament that produced an unstable knee. The achieved correction, measured radiographically, was from an initial; − 14 degrees to a final +7 degrees of posterior slope. The second patient presented with a proximal tibial soft tissue imbalance that was thought would eventually lead to a recurvatum deformity. An increase in the posterior slope of the tibia was induced to compensate for the soft tissue deformity. The radiographic correction was an increase in posterior slope from +7 degrees to +14 degrees and from 5 degrees varus to 8 degrees varus. The third patient patient presented with a partially-healed malunited tibial fracture with 14 degrees of proximal tibial varus and 16 degrees of posterior slope. In spite of an uncomplicated frame application, the patient was not compliant with post-operative care and the frame was removed before correction could be achieved. The fourth patient underwent a limb lengthening. At the time of writing, the adjustment schedule had not been completed. Our computer-assisted procedure appears to be an effective method of improving Taylor spatial frame use. The senior surgeon (DPB) noted that the procedure is easy to perform, he no longer needs to measure the 13 frame parameters, and he can plan the correction in three dimensions. We also have the ability to modify the pace of the correction schedule to accommodate the rate of bone growth for each individual patient. Drawbacks of the technique include the requirements for a preoperative CT scan and a segmentation of the scan to produce the three-dimensional computer models.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».