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Record W2594378448 · doi:10.1055/s-0037-1600692

Multimodality Management of Trigeminal Schwannomas and Quality of Life Outcomes-A Single Institution Experience

2017· article· en· W2594378448 on OpenAlexaff
Serge Makarenko, Vincent Ye, Ryojo Akagami

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2017
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsHypoesthesiaMedicineDiplopiaPresentation (obstetrics)Quality of life (healthcare)Trigeminal nerveHeadachesRadiologySurgery

Abstract

fetched live from OpenAlex

Background: Trigeminal schwannomas are the second most common among intracranial schwannomas. These can arise from anywhere between the root and the distal extracranial branches of the trigeminal nerve. Clinical presentation depends on location and size, including but not limited to facial hypoesthesia or pain, headaches, dizziness, ataxia, and diplopia. Literature is strikingly scant discussing the natural history of these lesions, while the treatment goals are heavily dependent on tumor presentation. Management decisions have to be individualized to each tumor and each patient, while attempting to maximize the quality of life. We present a unique look at single institution management of these lesions, whether by surgery, radiation, or by serial imaging, report on the quality of life of patients diagnosed with trigeminal schwannomas. Methods: Between 2001 and 2015, 28 patients (64.3% female) with trigeminal schwannomas were diagnosed and managed with trigeminal schwannomas at Vancouver General Hospital. We analyzed the clinical presentation, surgical results, resection rates, patient quality of life, and complications. To complete the evaluation, we prospectively collected SF-36 Quality of Life assessments from patients and compared post-treatment quality of life assessments with those completed by patients at the time of the initial clinic visit. Results: We were able to identify 12 patients treated with a craniotomy and surgical resection, 6 who had radiation treatment, while 10 patients were followed by observation. Mean age of study cohort was 52.1 years (range 23–82 years), and most patients presented with facial hypoesthesia (53.6%) and headaches (39.3%) while 32.1% were incidental. There were no major differences in patient demographics between three groups. Patients offered surgery had larger lesions (mean diameter 3.4 cm) when compared with those that were irradiated or observed, and were more likely to have extracranial extension. There were no neurologic or medical complications of surgical treatment, while 66.7% patients had worsening of symptoms following radiation treatment requiring steroid use. Overall patient quality of life perception improved in the cohort following surgery (ΔSF-36 +8.4), while those patients that underwent radiation or were observed started with an overall higher SF-36 score (66.1 and 61.1 respectively). Conclusions: The treatment goals of trigeminal schwannomas focus on improvement in neurologic symptoms, relief of mass effect, and preservation of cranial nerve function. These must be balanced against preservation of patient quality of life, which we demonstrate only marginally improves with treatment interventions. Individualization of management strategies on a case by case bases should be conceptualized by a dedicated skull base team. Where possible, a complete surgical resection should be the treatment of choice but advancements in radiosurgical techniques have opened up possibilities for primary management of smaller lesions as well as for postoperative residuals or recurrences.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.193
GPT teacher head0.353
Teacher spread0.160 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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