Hemorrhagic Intracranial Cavernoma Presenting as a Homonymous Horizontal Sectoranopia
Bibliographic record
Abstract
ABSTRACT: Hemorrhagic lateral geniculate nucleus (LGN) insults are rare but have been reported in association with tumors, vascular malformations, and trauma. The localization of LGN lesions is facilitated by recognition of pathognomonic visual field defects. A 21-year old woman developed a sudden onset painless left homonymous horizontal sectoranopia. Magnetic resonance imaging revealed a hemorrhagic cavernous malformation of the right temporal lobe. Optical coherence tomography (OCT) and Humphrey perimetry findings localized the lesion to the right LGN. Specifically, OCT testing revealed a right homonymous sectoranopia pattern of hemi-retinal macular ganglion layer-inner plexiform layer (mGCIPL) thinning contralateral to the left sided visual field defect. The OCT pattern reflected retrograde neuroaxonal degeneration from the right LGN lesion. This case highlights a unique pattern of mGCIPL thinning characteristic for a posterior lateral choroidal artery injury, affecting the LGN. These findings illustrate how functional eloquence correlates with topographical elegance in the afferent visual pathway.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".