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Record W2606242576 · doi:10.1159/000468523

Adenocarcinoma of the Retinal Pigment Epithelium Arising in Conjunction with Late Recurrence and Systemic Metastasis of Retinoblastoma

2017· article· en· W2606242576 on OpenAlexaff
Kelsey A. Roelofs, Femida Kherani, Laurie Russell, J.G. Heathcote, Ezekiel Weis

Bibliographic record

VenueOcular Oncology and Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsDalhousie UniversityUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineRetinoblastomaMetastasisRadiation therapyAdenocarcinomaMalignancyRetinal pigment epitheliumRetinalPathologySurgeryOphthalmologyCancerInternal medicine

Abstract

fetched live from OpenAlex

In 1974, an 8-month-old male was diagnosed with bilateral retinoblastoma. His left eye was enucleated, while the right eye was salvaged with a combination of external beam radiotherapy (4,000 cGy total, divided in 20 fractions) and retinal laser treatment. Thirty-nine years later, he developed intraocular recurrence of retinoblastoma with extrascleral spread. Histopathological examination also identified a second distinct malignancy, retinal pigment epithelium adenocarcinoma, arising in continuity with the retinoblastoma. Further investigation revealed foci of metastatic retinoblastoma in his parotid gland. He was subsequently treated with a combination of orbital exenteration, extensive neck dissection, and resection of metastatic foci, followed by a high-dose ablative chemotherapeutic regimen consisting of cisplatin, vincristine, and cyclophosphamide. Although very rare, late recurrence of retinoblastoma with systemic metastasis is possible, and continued clinical observation and appropriate long-term follow-up should be considered. Additionally, it is important to consider a second primary intraocular tumor in the differential diagnosis, especially in a patient with heritable retinoblastoma who has undergone radiation therapy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.284
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2017
Admission routes1
Has abstractyes

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