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Record W4399850409 · doi:10.7759/cureus.62773

Rapid Progression of a T3-T4 Paraspinal Schwannoma in a Young Female

2024· article· en· W4399850409 on OpenAlexaff
Monica Khadka, Devaun M Reid, Scott Taylor

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsKerr Wood Leidal Associates (Canada)
Fundersnot available
KeywordsMedicineSchwannomaGeneral surgeryRadiology

Abstract

fetched live from OpenAlex

This case report presents an unusual incidence of a T3-T4 paraspinal schwannoma in a 22-year-old female, highlighting its clinical significance due to its atypical presentation and growth rate. Schwannomas, benign peripheral nerve sheath tumors, are typically slow-growing and present with minimal or no neuropathic symptoms. However, this case deviated from the norm, with the patient experiencing significant neuropathic pain and rapid tumor growth from 37 mm to 55 mm over a period of six months, necessitating surgical intervention. Unique to this case was the presence of a positive Tinel sign and localized neuropathic back pain, features not commonly associated with paraspinal schwannomas. Through MRI and histological evaluation, the diagnosis of schwannoma was confirmed, underlining the necessity of considering paraspinal schwannomas in differential diagnoses for patients presenting similar symptoms. This case contributes to the medical literature by emphasizing the variability in presentation and growth rates of schwannomas, reinforcing the need for a thorough evaluation and an individualized approach to management in young patients presenting with neuropathic pain and positive neurological signs.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.325
Teacher spread0.294 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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