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Record W2594049433 · doi:10.1055/s-0037-1600811

Technical Nuances of Combined Endoscopic Trans-Nasal and Trans-Facial Approach to Pterygopalatine Fossa: Highlighting the Merits of the Endoscopic Trans-Facial Anterior Maxillary Approach to the Infra-Temporal Fossa

2017· article· en· W2594049433 on OpenAlexaff
Ahmad Elsawy, G Torabi Zadeh, Alan Vescan

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2017
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPterygopalatine fossaInfratemporal fossaSkullMedicineFossaAnatomyOrthodontics

Abstract

fetched live from OpenAlex

Introduction: Pathologies in the pterygopalatine and infratemporal fossa are very challenging for a skull base surgeon owing to its deep location and complexity of the approaches described to reach this area. Endoscopic skull base approaches has been dramatically evolving during the past decade, offering minimally invasive access with better exposure and visualization to pathologies in such areas. Continuous refinement of endoscopic approaches has been taking place, allowing for expanding its capabilities and understanding its limits. Combined endoscopic transnasal and transfacial approach to the pterygopalatine and infratemporal fossa is one example of such refinements. Objectives: In this study, we will describe the technical nuances of combined endoscopic transnasal and transfacial approach to the pterygopalatine fossa using an illustrative case of a schwannoma extending to pterygopalatine fossa and maxillary sinus. We will highlight the advantages of endoscopic trans-facial anterior maxillary approach as a direct approach to the infra-temporal fossa. Conclusion: We found the combined transnasal and transfacial approach very useful and helped us in the preservation of the middle turbinate, guarding the patient from the high incidence of atrophic rhinitis, given that the inferior turbinate was invaded by the tumor and was removed. Endoscopic trans-facial anterior maxillary approach provides a minimally invasive access to the pterygopalatine & infra-temporal fossa. It allows direct access to the neural contents in the posterior-superior portion of the pterygopalatine fossa. It allows better access for vascular control & hemostasis, avoiding the menace of dealing with the vascular contents, which are at the anterior-inferior portion of the fossa. It also avoids unnecessary medial-inferior to lateral-superior dissection to reach the pterygopalatine & infra-temporal fossa encountered during endoscopic trans-nasal approach. It also provides great maneuverability of instruments either alone or combined with trans-nasal approach, with avoidance of use of angled instruments or scopes. It also improves the lateral reach to the infra-temporal fossa. In our experience, we think the use of endoscopic trans-facial anterior maxillary approach may be feasible to be used as a stand-alone direct approach to the pterygopalatine & infra-temporal fossa & may provide significant advantages over the endoscopic trans-nasal approach. Fig. 1 Endoscopic trans-facial view, using 0 degree lens, showing pterygopalatine fossa after resection of tumor. (Note the contents of pterygopalatine fossa (PPF) displaced laterally within its periosteal sheath) Fig. 2 Endoscopic trans-nasal view, using 0 degrees lens, showing the pterygopalatine fossa after resection of tumor. (Note the limited lateral reach and visualization as compared with trans-facial route in (Fig. 1).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.049
GPT teacher head0.286
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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