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Record W4391990242 · doi:10.1055/s-0044-1780363

Contralateral Transmaxillary and Ipsilateral Transpterygoid Approaches: A Balanced Evaluation for Enhanced Endoscopic Petrosectomy Safety

2024· article· en· W4391990242 on OpenAlexaff
Jonathan Chainey, Ruth Lau, Efstathios Papatsoutsos, John R. de Almeida, Gelareh Zadeh, Aristotelis Kalyvas

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2024
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

Introduction: Traditional approaches to addressing the intricate regions of the petrous apex (PA) and petroclival region have predominantly relied on transtemporal and middle fossa transpetrosal strategies. The endoscopic endonasal approach, bolstered by advancements in endoscopic techniques, has proven effective in reaching lesions within this segment of the skull base. While the medial petrous apex presents lesser challenges, accessing the posterior and superior PA segments requires lateral mobilization of the paraclival segment of the internal carotid artery (ICA), a maneuver elevating the risk of arterial injury. The ipsilateral transpterygoid (ITP) approach is commonly utilized; however, while previous studies have advocated for the use of a contralateral transmaxillary (CTM. Corridor to minimize ICA mobilization, direct qualitative and quantitative anatomical comparisons between the two approaches remain limited. This study aims to precisely delineate the boundaries of endoscopic petrosectomy, comparing the visualization, angle of attack, reach and safety of the ITP and CTM approaches.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.305
Teacher spread0.223 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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