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Record W2034346104 · doi:10.1002/pbc.22653

Stereotactic radiotherapy as an alternative to plaque brachytherapy in retinoblastoma

2010· article· en· W2034346104 on OpenAlexaff
Eman Eldebawy, Horacio Patrocinio, Michael D. Evans, Rania Hashem, Sylvie Nelson, Rubina Sidi, Carolyn Freeman

Bibliographic record

VenuePediatric Blood & Cancer · 2010
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsBrachytherapyMedicineRetinoblastomaRadiation therapyRadiologyDosimetryHomogeneousStereotactic radiotherapyNuclear medicineMedical physicsRadiosurgery

Abstract

fetched live from OpenAlex

Radioactive plaque brachytherapy has an established role for selected patients with retinoblastoma. Newer non-invasive radiotherapy techniques such as stereotactic conformal radiotherapy (SCR) that uses highly accurate positioning to deliver treatment with small beams may be an interesting alternative to brachytherapy. We report a case treated with SCR and compare the dosimetry with that achievable with brachytherapy. With advantages and disadvantages to both, SCR should more often be considered in the management of RB because of the more homogeneous dose within the target volume and similar or lower doses to surrounding normal tissues.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.325
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2010
Admission routes1
Has abstractyes

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