Construction d'un modèle per-opératoire 3D du rachis pour la navigation en thoracoscopie.
Bibliographic record
Abstract
RESUME: Lors de discectomie par thoracoscopie, les outils de visualisation procurent peu d’information de profondeur et le champ de visualisation de la camera miniature inseree dans le patient est relativement restreint. Aussi, le mouvement simultane de la camera et des instruments chirurgicaux peut provoquer une desorientation. Ainsi, la courbe d’apprentissage pour l’utilisation de cette technologie est tres abrupte et un nombre restreint de chirurgiens choisissent l’intervention minimalement invasive malgre les avantages qu’elle peut procurer aux patients. En effet la discectomie par thoracoscopie reduit les pertes sanguines, le traumatisme des tissus entourant le disque afin d’acceder a la zone d’interet et le temps d’hospitalisation. Les discectomies sont prescrites a certains patients scoliotiques afin de redonner de la flexibilite a la colonne avant l’instrumentation (pose de vis et tige pour corriger la deformation). La resection du disque intervertebral est faite partiellement et la quantite du disque reseque depend du degre de flexibilite que le chirurgien desire redonner au patient. En effectuant la discectomie par thoracoscopie, il est impossible pour le chirurgien de visualiser rapidement la quantite de disque restant en plus d’avoir les desavantages de desorientation et de petit champ de vision de la camera miniature inseree dans le patient. Il est donc pertinent de tenter de reduire les problemes de visualisation rencontres lors des thoracoscopies en procurant au chirurgien la possibilite d’examiner en 3D les structures anatomiques du patient pendant la chirurgie sans ajouter de radiations supplementaires au patient. Ce systeme d’assistance permettrait egalement d’accroitre la securite du patient et la qualite de la chirurgie en donnant aux chirurgiens la possibilite de localiser en 3D la moelle epiniere et en leur donnant egalement la possibilite de visualiser la quantite de disque restant. Ainsi, l’interet de fusionner les images video avec un modele pre-operatoire 3D est alors tout indique.---------- ABSTRACT: Visualization tools available while doing thoracoscopic diskectomy do not show depth information and the field of view of the miniaturized camera inserted into the patient is small. Also, simultaneous movement of the camera and surgical tools may result in disorientation. The learning curve for the use of this technology is very steep and numbers of surgeons choose not to use minimally invasive surgery despite important advantages for the patients. Indeed, thoracoscopic diskectomy reduce blood loss, trauma of surrounding soft tissues to access intervertebral disks and hospitalization time. Diskectomy are prescribed to specific scoliotic patients to gain flexibility of the spine before instrumentation surgery (fixation of screws and rod to correct the deformation). The intervertebral disk is partly resected depending on the level of flexibility the patient has to gain according to the surgeon. During thoracoscopic diskectomy, it is impossible for the surgeon to rapidly visualize the remaining disk tissue and this further increase the disadvantages for the surgeons. Hence, it is relevant to try to reduce visualization problems encountered during thoracoscopic diskectomy by providing to the surgeons a 3D view of the whole spine during the surgery, without adding supplementary radiation to the patient. The computer assisted surgery system would also increase the security of the patient by allowing the surgeons to localize rapidly in 3D the spinal canal as well as the remaining disk. The fusion of the video images with 3D spine of the patient is of great interest for the surgeons.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".