Pedicle Screw Malposition in Revision Spinal Surgery: Efficacy of Intraoperative CT-Based Navigation
Notice bibliographique
Résumé
Introduction The improved screw accuracy of intraoperative 3D imaging with navigation has been primarily reported in cadaveric studies and spinal deformity surgeries. Revision surgery poses unique technical challenges for pedicle screw instrumentation because of an established fusion mass, lack of reliable anatomical landmarks, and limited fixation options. The aim of this study was to examine our early experience of pedicle screw malposition rates in revision surgeries comparing O-arm and StealthStation navigated cases to the traditional freehand technique and evaluate the impact on patient outcome. Materials and Methods This ambispective study compared two matched cohorts of patients undergoing revision thoracolumbar surgery. The study group comprised 56 consecutive patients who underwent O-arm and StealthStation navigation-assisted pedicle screw instrumentation (NAV) between January 1, 2008 and December 31, 2012. The control group comprised 34 historical matched cases with surgery between January 1, 2006 and December 31, 2008, using traditional (freehand or with fluoroscopy), nonnavigated techniques (non-NAV). Cases were matched on age, gender, surgical location, number of surgical levels, and primary diagnosis. We examined the differences in screw placement and accuracy, patient outcomes, and surgery-related adverse events. Results There was a significant difference in the number of misplaced screws between the NAV and non-NAV groups (31 vs. 54, p < 0.001). The average number of misplaced screws per case was 0.57 (SD = 0.92) with navigation and 1.86 (SD = 2.49) without ( p = 0.01). No difference existed in the number of screws revised intraoperatively (10 vs. 7, p = 0.54). One patient in the NAV group and two patients in the non-NAV group required early postoperative screw revision during the same admission ( p = 0.33). No screws in the NAV group required revision during subsequent admissions. No difference was observed in grade of screw malposition ( p = 0.11) or anatomical location of malposition ( p = 0.26). Anatomically, a majority of misplaced screws were located below T6 in both groups. The use of navigation resulted in a significant difference in intraoperative massive blood loss (> 2L in 3 hours), 3.3% of the NAV cases compared with 7.8% of the non-NAV cases. There was no significant difference in the duration of surgery ( p = 0.11), incidence of intraoperative dural tear ( p = 1.00), wound infection ( p = 1.00), or length of stay ( p = 0.78). Conclusion This early analysis of our experience in revision surgery demonstrates an increased accuracy of pedicle screw placement utilizing O-arm imaging and StealthStation navigation systems, without an increase in OR time. Small case numbers likely explain the comparable early screw revision rates, as our experience with a larger number of degenerative cases demonstrates a statistically significant reduction in reoperation for symptomatic screw misplacement. The use of intraoperative 3D imaging and navigation in revision spine surgeries results in lower mean blood loss, and fewer cases of massive intraoperative blood loss may occur because navigation avoids the extent of dissection normally required and facilitates safe pedicle screw instrumentation while minimizing surgical exposure. Data collection and analysis is ongoing to examine diagnosis-specific incidence of screw malposition and patient outcome.
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 | 0,001 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».