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Record W1978291626 · doi:10.1097/rlu.0b013e3181b06c1a

Hypertrophic Pulmonary Osteoarthropathy Diagnosed by FDG PET-CT in a Patient With Lung Adenocarcinoma

2009· article· en· W1978291626 on OpenAlexaff
William Makis, Gad Abikhzer, Christopher Rush

Bibliographic record

VenueClinical Nuclear Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicHypertrophic osteoarthropathy and related conditions
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineAdenocarcinomaHypertrophic osteoarthropathyLungRadiologyPositron emission tomographyNuclear medicinePET-CTPulmonary adenocarcinomaSpinal osteoarthropathyPathologyCancerInternal medicine

Abstract

fetched live from OpenAlex

A 52-year-old man had a positron emission tomography computed tomography (PET-CT) scan for staging of a biopsy proven lung adenocarcinoma. An additional acquisition of the lower extremities was performed as the patient complained of bilateral leg pain. The PET-CT scan showed a 6.5 x 5.0 cm left upper lobe lung mass invading the mediastinum with maximal standardized uptake value of 10.7, compatible with primary lung cancer. The CT portion of the PET-CT of the legs showed extensive irregular bilateral periosteal new bone formation in the long bones. The PET images showed diffuse moderately increased FDG uptake in the periostea of the long bones of the legs, with some focal sites of more intense FDG uptake in the thicker portions of the periosteum. A bone scan showed mild hyperemia surrounding the long bones of the legs and intense Tc-99m MDP uptake in the periostea. The patient was diagnosed with hypertrophic pulmonary osteoarthropathy.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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

Citations16
Published2009
Admission routes1
Has abstractyes

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