Retinoma: An overview
Bibliographic record
Abstract
ABSTRACT Retinoma, also referred to as retinocytoma, is a benign manifestation of biallelic retinoblastoma gene ( RB1 ) inactivation. Genetic or epigenetic loss of retinoblastoma protein in maturing cone precursors induces genomic instability which leads to upregulation of senescence‐associated p16 INK4a and p130, resulting in non‐proliferative retinoma. When senescence pathways fail and genetic instability accumulates to a critical level through altered gene copies of oncogenes and tumor suppression genes, transformation into RB1 −/‐ retinoblastoma occurs. Thus, the management of retinoma involves frequent ophthalmic examination and imaging to monitor the size and characteristics of the tumor, ensure stability, and rule out malignant transformation. Key ophthalmoscopic features of retinoma often include a translucent whitish‐gray retinal mass, calcification, retinal pigment epithelial alterations with well‐defined margins, located typically around the lesion, as well as a zone of chorioretinal atrophy. This review aims to provide a comprehensive overview of this non‐malignant tumor drawing from current understanding of its molecular genetics, clinical characteristics, diagnostic modalities, differential diagnosis, management, and prognosis. A deeper understanding of retinoma could offer valuable insights into how retinoblastoma develops and oncogenesis more broadly, paving the way for improved strategies to prevent and treat this malignant tumor.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".