ENHANCED DEPTH IMAGING SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY FEATURES OF LIGHT CHAIN DEPOSITION DISEASE
Bibliographic record
Abstract
In Brief Purpose: To describe a previously unreported finding in the choroid of a patient with light chain deposition disease on enhanced depth imaging optical coherence tomography. Methods: Clinical examination, fundus photography, fundus autofluorescence, fluorescein angiography, indocyanine green angiography, and spectral domain enhanced depth imaging optical coherence tomography were performed in a patient with light chain deposition disease. Results: This 45-year-old white man presented with decreased vision in both eyes. Clinical examination and color fundus photography revealed multiple ill-defined deep yellow lesions in the macula and periphery with granular retinal pigment epithelium changes in the macula of both eyes. The yellow lesions displayed increased autofluorescence, hyperfluorescence on fluorescein angiography, and hypocyanescence on indocyanine green angiography. Spectral domain enhanced depth imaging optical coherence tomography demonstrated irregularities of the outer retina, choroidal thickening with dilated outer choroidal vessels, and near-confluent hyperreflectivity of the choriocapillaris. Conclusion: Patients with light chain deposition disease may have characteristic findings on spectral domain enhanced depth imaging optical coherence tomography that corroborate previously reported histopathologic findings in light chain deposition disease. This rare disease should be considered in the differential diagnosis for infiltrative choroidopathies. Patients with light chain deposition disease may have characteristic findings on spectral domain enhanced depth imaging optical coherence tomography that corroborate previously reported histopathologic findings in light chain deposition disease. This rare disease should be considered in the differential diagnosis for infiltrative choroidopathies.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".