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Record W4392438335 · doi:10.1097/rlu.0000000000005077

Neoadjuvant Peptide Receptor Radionuclide Therapy in a Rare Case of Pediatric Primary Hepatic Gastrinoma

2024· article· en· W4392438335 on OpenAlexaff
Sougata Mahato, Piyush Aggarwal, Chennakeshava Thunga, Ashwani Sood, Ravi P. Kanojia, Ritambhra Nada, Sadhna Lal

Bibliographic record

VenueClinical Nuclear Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsGastrinomaRadionuclide therapyMedicineNeuroendocrine tumorsPopulationPeptide receptorInternal medicineOncologyRadiologyReceptorSecretion

Abstract

fetched live from OpenAlex

ABSTRACT: Gastrinomas with predilection for the adult male population are located in the gastrinoma triangle (>90%). Primary hepatic gastrinoma especially in pediatric population is very rare. Peptide receptor radionuclide therapy has shown benefit in metastatic gastroenteropancreatic neuroendocrine tumors (NETs) with an increasing interest in expanding its role as neoadjuvant treatment modality to improve the surgical candidature in inoperable NETs. There is currently no literature supporting its role in the pediatric NET patients. We present a rare case of a young boy with primary hepatic gastrinoma where 177Lu-based peptide receptor radionuclide therapy in the neoadjuvant setting contributed to his final disease-free status.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.056
GPT teacher head0.395
Teacher spread0.339 · 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 designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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