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

2002· article· en· W2043742282 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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