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The Bone Scan Flare Phenomenon in Non–Small-Cell Lung Cancer

2002· article· en· W2043742282 on OpenAlexaff
Julie Lemieux, Jean Guimond, Francis Laberge, CAROLE ST-PIERRE, Yvon Cormier

Bibliographic record

VenueClinical Nuclear Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineBone scintigraphyScintigraphyChemotherapyRadiologyBreast cancerLung cancerLungCancerNuclear medicineOncologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: The bone scan flare phenomenon, defined as an increase in the number or intensity of bone lesions with subsequent improvement while the patient is receiving chemotherapy, has been described in solid tumors including breast cancers and small-cell lung cancers. The purpose of this study was to verify the existence of the bone scintigraphic flare phenomenon in patients with non-small-cell lung cancer (NSCLC) during chemotherapy and thus determine the utility of bone scintigraphy in the follow-up of these patients. MATERIALS AND METHODS: Thirty-three patients with NSCLC with bone metastases and who had been treated with chemotherapy were included in the study. The outcome of bone scintigraphy was compared with that in other neoplastic sites. RESULTS: The flare phenomenon was considered likely in 8 of the 33 patients. It was confirmed in two patients, invalidated in four, and remained doubtful in two. CONCLUSIONS: The bone flare phenomenon occurs in NSCLC. It renders bone scintigraphy less useful in the evaluation of tumoral response in the patients in whom it is considered likely.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.379
Teacher spread0.307 · 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

Citations31
Published2002
Admission routes1
Has abstractyes

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