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Record W2321018850 · doi:10.5414/npp26288

Hemangiopericytoma of the sella mimicking pituitary adenoma: case report and review of the literature

2007· review· en· W2321018850 on OpenAlexaff
Jonathan Juco, E Horváth, Harley S. Smyth, Fabio Rotondo, Kálmán Kovács

Bibliographic record

VenueClinical Neuropathology · 2007
Typereview
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsHemangiopericytomaSella turcicaPituitary adenomaMedicineDifferential diagnosisPituitary neoplasmPituitary glandRadiologyPathologyLesionAdenomaEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE: Hemangiopericytoma (HPC) is a potentially malignant vascular neoplasm that in rare cases presents as a primary intracranial lesion, where most often it is meningeal in origin. Hemangiopericytoma arising within the sella turcica is an even more sporadic event. To our knowledge, only 9 cases of HPC presenting as a sellar or suprasellar mass have been reported in the literature. Often, these cases can mimic and be mistaken for a pituitary adenoma. MATERIAL AND METHODS: We report a case of an 18-year-old woman presenting with a sellar mass which was thought both clinically and radiologically to be a pituitary adenoma. RESULTS: Based on histologic, immunohistochemical and electron-microscopic studies, the diagnosis of sellar HPC was made. CONCLUSION: Hemangiopericytoma should be considered in the differential diagnosis of sellar or suprasellar masses.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.113
GPT teacher head0.447
Teacher spread0.334 · 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
GenreReview

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

Citations20
Published2007
Admission routes1
Has abstractyes

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