Clinical-pathological study of stromal corneal dystrophies
Bibliographic record
Abstract
Introduction: Corneal dystrophy (CD) is defined as bilateral and symmetric primary corneal disease, without previous associated ocular inflammation. Corneal dystrophies (CDs) are classified according to the involved corneal layer in superficial, stromal, and posterior dystrophy. Incidence of each dystrophy varies according to the geographic region studied. Purpose: To evaluate the prevalence of stromal CDs among corneal buttons specimens obtained by penetrating keratoplasty (PK) in an ocular pathology laboratory and to correlate the diagnosis with patient age and gender. Methods: Corneal button cases of PK from January-1996 to May-2009 were retrieved from the archives of The Henry C. Witelson Ophthalmic Pathology Laboratory and Registry, Montreal, Canada. The cases with histopathological diagnosis of stromal CDs were stained with special stains (Peroxid Acid Schiff, Masson Trichrome, Congo Red and Alcian Blue) (analyzed under polarized light) for classification and correlated with epidemiological information (age at time of PK and gender) from patient?s file. Results: A thousand and three hundred consecutive corneal buttons cases were retrieved. Stromal CD was found in 40 (3,1%) cases. Lattice CD was the most prevalent with 26 cases (65%). Nineteen were female (73.07%) and the PK was performed at average age of 59,3 years old. Combined CD was found in 8 (20%) cases, 5 (62.5%) of them were female and the average age of the PK was 54.8 years old. Granular CD was represented by 5 (12,5%) cases, and 2 (40%) of them were female. PK was performed at average age of 39,5 years old. Macular CD was present in only one (2,5%) case, in a 36 years old female. Conclusion: Systematic histopathological approach and evaluation, including special stains in all stromal corneal dystrophies, is critical to establish the correct 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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".