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Record W2089210161 · doi:10.1097/rlu.0b013e318126c01c

Atypical Brown Fat Distribution in Young Males Demonstrated on PET/CT

2007· article· en· W2089210161 on OpenAlexaff
James R. Clarke, Silvana Brglevska, Eddie Lau, Shakher Ramdave, Rodney J. Hicks

Bibliographic record

VenueClinical Nuclear Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineMediastinumAbdomenSubcutaneous fatPelvisFat distributionRadiologyHodgkin lymphomaFat accumulationLymphomaNuclear medicineAdipose tissuePathologyInternal medicine

Abstract

fetched live from OpenAlex

The development of PET/CT has led to the recognition that metabolically active fat, referred to as "brown fat," can accumulate FDG and represents a possible source of false-positive scans in oncology patients. Numerous reports have described the typical appearance of brown fat, which most commonly presents as neck and paravertebral uptake in young female patients. Other described sites of uptake include the mediastinum and retroperitoneum. We present examples of 2 cases of atypical diffuse brown fat uptake seen in the subcutaneous fat of the thighs, abdomen, and pelvis. Both of these patients were young men and did not show uptake in the typical supraclavicular and neck fat. Although rare in our experience, knowledge of this condition may prevent misinterpretation of this finding as an infiltrative condition of the skin, such as lymphoma.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.224
Threshold uncertainty score0.958

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)0.0010.001

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 head0.051
GPT teacher head0.377
Teacher spread0.326 · 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

Citations22
Published2007
Admission routes1
Has abstractyes

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