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Record W4391541626 · doi:10.7759/cureus.53621

Dynamic Navigation Protocol for Direct Sinus Lift and Simultaneous Implant Placement: A Case Report

2024· article· en· W4391541626 on OpenAlexaboutno aff
Aditya Dotia, Sahana Selvaganesh, Rajendra Prabhu Abhinav, Thiyaneswaran Nesappan

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsImplantSinus (botany)Cone beam computed tomographyWindow (computing)OrthodonticsRadiographyMaxillary sinusMedicineMaterials scienceBiomedical engineeringComputer scienceDentistryComputed tomographySurgery

Abstract

fetched live from OpenAlex

AIM: This study aims to evaluate the accuracy associated with the use of a dynamic navigation system for the lateral window opening for a direct sinus floor elevation (SFE) procedure with simultaneous implant placement. MATERIALS AND METHODS: A female patient, aged 27 years, reported to the Department of Implantology seeking treatment for her lost tooth. On radiographic examination, the residual alveolar ridge height was 6 mm in the 26 (left upper first molar) region. For the implant placement, the case was planned to be carried out under dynamic navigation (Navident, Claronav, Canada). To make the lateral window accessible to the sinus floor, an implant trajectory resembling the required window dimensions and prosthetic implant position was planned. Post-surgery cone beam computed tomography (CBCT) was taken to assess the accuracy of the lateral window and implant trajectories using Evalunav (Navident, Claronav, Canada) analysis with dynamic navigation software. RESULTS: There was improved accuracy of the lateral window opening, and the visualization of the lateral window was maintained in real-time throughout the procedure, which was advantageous to eliminate the tearing of the thin sinus membrane. The deviations found in the trajectory of the lateral window in comparison between the planning and post-procedure were: (a) entry was deviated by 2.83 mm; (b) the apex was deviated by 2.52 mm; (c) vertically, the apex was deviated by 0.29 mm; and (d) there was an 8.93° deviation in the angulation of the trajectory. The implant that was placed simultaneously with the SFE's accuracy was in comparison with the position that was planned: (a) entry was deviated by 0.03 mm, (b) the apex was deviated by 0.82 mm, (c) vertically, the apex was deviated by 0.82 mm, and (d) there was a 0° deviation in the angulation of the trajectory. CONCLUSION: Dynamic navigation technology can help overcome complications associated with direct sinus lift procedures by providing highly accurate and precise planning and execution of the surgical procedure. This can lead to improved implant stability and a reduced risk of complications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.374
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2024
Admission routes1
Has abstractyes

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