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Record W4399084867 · doi:10.1530/eo-24-0001

Tolerability and outcomes of neuroendocrine tumors treated with PRRT and SBRT

2024· article· en· W4399084867 on OpenAlexaff
Jose Eduardo Nuñez, Sylvia S. W. Ng, Hanbo Chen, Simron Singh, Julie Hallet, Calvin Law, Sten Myrehaug

Bibliographic record

VenueEndocrine Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsTolerabilityNeuroendocrine tumorsMedicineOncologyInternal medicineAdverse effect

Abstract

fetched live from OpenAlex

There is interest in optimizing peptide receptor radionuclide therapy (PRRT) for the management of metastatic neuroendocrine neoplasms (NEN). The addition of stereotactic body radiation therapy (SBRT) may provide synergistic benefits by targeting specific sites of disease that may represent areas of tumor heterogeneity. Little is known about the efficacy or potential toxicity of this approach; understanding the outcomes of patients treated with these two modalities in a sequential fashion will provide insights into the appropriateness of embarking on a combined therapy strategy. An institutional retrospective review of 21 patients with NEN treated with sequential PRRT and SBRT (64 targets) was performed. Median overall survival and progression-free survival were 19.6 months and 12.8 months, respectively. Median time to local recurrence at the SBRT site was not reached, with rates at 12 and 24 months of 1.8% and 5.9%, respectively. The toxicity profile remains favorable. Given the safety and efficacy of sequential SBRT and PRRT, further trials evaluating a concurrent treatment approach may be warranted.

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 score0.257
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.356
Teacher spread0.336 · 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
Published2024
Admission routes1
Has abstractyes

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