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Record W2094003683 · doi:10.1136/pgmj.2009.087460

Masses of the pineal region: clinical presentation and radiographic features

2010· review· en· W2094003683 on OpenAlexaff
Frank Gaillard, Jeremy Jones

Bibliographic record

VenuePostgraduate Medical Journal · 2010
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCBC (Canada)
Fundersnot available
KeywordsPineal glandMedicinePathologyPinealomaDermoid cystHydrocephalusRadiologyAnatomyInternal medicineMelatonin

Abstract

fetched live from OpenAlex

The pineal gland is important in structure, function and in the pathology that can affect it. The significance of the pathology of the gland and its adjacent structures is twofold: anatomical location, and biological behaviour of many of the lesions. The gland is in a critical anatomic location, and as the dorsal portions of the midbrain are compressed, patients may present with obstructive hydrocephalus, and/or with focal neurology. Masses and tumours of the pineal region range widely in behaviour, from the completely benign (eg, pineal cyst) to highly malignant (eg, pineoblastoma). Masses in the pineal region may be benign cysts (most common mass), tumours of various sources as well as rare vascular malformations that result in mass effect. Tumours of the pineal region represent a variety of histologies. Germ cell tumours are the most common: germinomas (50%), teratoma (15%), and choricocarcinoma (5%). Primary tumours of the pineal region make up 15% of all pineal tumours and represent a spectrum of aggressiveness. Other less common tumours also occur in the pineal region including metastatic spread and direct invasion from tumours arising in adjacent structures. Accurate diagnosis is essential to plan appropriate management, and early referral for medical imaging is a necessary first step. Although there is significant overlap in the imaging characteristics of some pineal masses, a distinction between aggressive and benign lesions is usually possible, and invaluable preoperative information is obtained in patients who require histological diagnosis.

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.083
GPT teacher head0.419
Teacher spread0.336 · 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 designOther design
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

Citations58
Published2010
Admission routes1
Has abstractyes

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