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Record W4408964473 · doi:10.1177/2050313x251332081

An unexpected case of frontal headache: Silent corticotroph pituitary neuroendocrine tumor presenting as a sphenoid sinus mass

2025· article· en· W4408964473 on OpenAlexaff
Marie‐Michelle McNicoll, Lamiae Himdi, Marc A. Tewfik, Salvatore Di Maio, Marie‐Christine Guiot, Vincent Larouche

Bibliographic record

VenueSAGE Open Medical Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsJewish General HospitalMcGill University Health CentreUniversité de MontréalHôpital Notre-DameMcGill University
Fundersnot available
KeywordsMedicineCavernous sinusPituitary adenomaHeadachesSinus (botany)RadiologySphenoid boneCorticotropic cellSella turcicaMagnetic resonance imagingSurgeryPituitary glandAdenomaPathologyInternal medicine

Abstract

fetched live from OpenAlex

We report the case of a 43-year-old male who presented with a 2-year history of frequent frontal headaches, initially attributed to sinus disease. Magnetic resonance imaging revealed a 30 mm mass in the right sphenoid sinus with extension into the cavernous sinus, encasing the internal carotid artery, and invading the sella turcica. Differential diagnosis based on imaging included sphenoid meningioma, low-grade carcinoma, or lymphoma. An endoscopic sphenoid sinus biopsy identified the lesion as a silent corticotroph pituitary neuroendocrine tumor/adenoma (SCA), confirmed by positive immunostaining for ACTH and T-PIT. The patient underwent a successful transsphenoidal resection, followed by a transient postoperative central adrenal insufficiency and diabetes insipidus, which resolved within eight months. Eighteen months postoperatively, the patient retains normal pituitary function with minimal residual tumor. This case illustrates the diagnostic challenge posed by SCAs when presenting as sphenoid sinus masses and highlights the importance of considering SCAs in similar cases.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.322
Teacher spread0.310 · 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.

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
Published2025
Admission routes1
Has abstractyes

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