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Record W1995279224 · doi:10.2500/ajra.2009.23.3271

Juvenile Nasopharyngeal Angiofibroma: The Expanded Endonasal Approach

2009· article· en· W1995279224 on OpenAlexaff
Trevor Hackman, Carl H. Snyderman, Ricardo L. Carrau, Allan Vescan, Amin Kassam

Bibliographic record

VenueAmerican Journal of Rhinology and Allergy · 2009
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsJuvenile nasopharyngeal angiofibromaMedicineSkullAngiofibromaSurgeryBlood supplyRadiation therapyEmbolizationRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Juvenile nasopharyngeal angiofibroma (JNA) is a benign but locally aggressively vascular tumor that may involve the skull base and extend intracranially. Endoscopic excision has become the new standard for smaller tumors but remains a challenge for large tumors, leading some to advocate radiation therapy. We reviewed our experience managing JNA, specifically with respect to utility of the expanded endonasal approach (EEA) for lesions with skull base and intracranial extension. METHODS: All cases of JNA at the University of Pittsburgh Medical Center from 1995 to 2006 were reviewed with respect to tumor size and location, vascular supply and results of embolization, skull base involvement and intracranial extension, surgical approach, blood loss, intraoperative and postoperative complications, and recurrence. RESULTS: Thirty-one cases of JNA were identified. The majority of tumors were completely excised using the EEA, regardless of size or extension into adjacent compartments. Surgical excision of some tumors with intracranial blood supply was staged. Recurrence rates were not associated with extent of tumor or surgical technique. Long-term morbidity was minimal. CONCLUSION: Most JNA, regardless of tumor extent, may be completely excised using EEA alone or in combination with minor sublabial incisions avoiding the morbidity associated with larger open approaches or postoperative radiation therapy.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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 designOther design
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

Citations80
Published2009
Admission routes1
Has abstractyes

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