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Record W2558918947 · doi:10.1159/000452305

Eye Salvage with Combination of Intravitreal and Intracameral Melphalan Injection for Recurrent Retinoblastoma with Anterior Chamber Involvement: Report of a Case

2016· article· en· W2558918947 on OpenAlexaff
Nathalie Cassoux, Isabelle Aerts, Livia Lumbroso-Le Rouïc, Paul Fréneaux, Laurence Desjardins

Bibliographic record

VenueOcular Oncology and Pathology · 2016
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMelphalanMedicineRetinoblastomaCryotherapyCiliary bodyChemotherapySurgeryOphthalmology

Abstract

fetched live from OpenAlex

AIMS: Herein we report successful eye salvage following combined intravitreal and intracameral administration of melphalan for anterior chamber recurrence of retinoblastoma. METHODS: A 12-month-old boy was referred with a sporadic bilateral retinoblastoma staged as group D and V in the right eye and group E and V in the left eye. Treatment initially involved 6 cycles of 3 drugs followed by focal treatments. The left eye was enucleated. Three months after the end of systemic chemotherapy, multiple recurrent lesions were noted in the ciliary body and the anterior chamber. A series of intravitreal (IVT) and intracameral (IC) injections of melphalan combined with a 7th cycle of systemic chemotherapy was performed. The therapeutic schedule alternated: week A an IVT of melphalan (30 μg/0.1 mL) for a total of 4 versus week B IC injections of melphalan (15 μg/0.05 mL) 4 IC in total. Each injection was preceded by an anterior chamber. Cryotherapy to the injection punctures was systematically performed. RESULTS: Rapidly, iris and ciliary body nodules regressed completely based on clinical and ultrasound biomicroscopic examinations. After 3 years of follow-up, the patient has shown no evidence of recurrence. CONCLUSION: In our patient, combined IVT and IC administration of melphalan proved highly efficacious in eradicating the ciliary body and anterior chamber disease and salvage of his one remaining functional eye.

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)0.000
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 score0.320
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.291
Teacher spread0.280 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

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