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Record W4414346338 · doi:10.1055/a-2705-2937

Collision Tumor of the Clivus: Chordoma and Chronic Lymphocytic Leukemia

2025· article· en· W4414346338 on OpenAlexaff
Marcos Ezequiel Yasuda, Shannon Hart, Jian‐Qiang Lu, Almunder Algird

Bibliographic record

VenueJournal of Neurological Surgery Part A Central European Neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsMcMaster UniversityHamilton General HospitalHamilton Health Sciences
Fundersnot available
KeywordsChordomaClivusChronic lymphocytic leukemiaPathologicalDiplopiaSkullLesion

Abstract

fetched live from OpenAlex

Collision tumors, defined as the simultaneous occurrence of two distinct neoplasms within the same anatomical location, are exceptionally rare in the clivus. The coexistence of chordoma and chronic lymphocytic leukemia (CLL) within the clivus has not been previously reported, making this case particularly noteworthy.We present the case of a 69-year-old woman with a known history of stable CLL who presented with a 3-month history of progressive right-sided horizontal diplopia and hemianopsia. Imaging revealed a large sellar/suprasellar lesion with significant involvement of both cavernous sinuses, prompting surgical intervention. An endoscopic endonasal transsphenoidal and transclival approach was utilized to achieve near-total mass resection, with a small remnant left in the right cavernous sinus due to its proximity to the internal carotid artery. Histopathological examination confirmed the presence of a collision tumor composed of chordoma and CLL.This case represents the first reported instance of a collision tumor involving a chordoma and CLL within the clivus. The patient's postoperative course was uneventful, and she remains stable at 3-month follow-up after receiving adjuvant radiotherapy. The rarity of such a collision tumor underscores the need for heightened clinical suspicion and thorough pathological evaluation in cases presenting with atypical skull base lesions. The involvement of a multidisciplinary team was crucial in the management and favorable outcome of this complex case.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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