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Record W2167114526 · doi:10.1259/bjr/52225107

Pictorial review of the many faces of bronchioloalveolar cell carcinoma

2007· review· en· W2167114526 on OpenAlexaff
Demetris Patsios, Heidi Roberts, Narinder Paul, T. Chung, Stephen J. Herman, G L Weisbrod

Bibliographic record

VenueBritish Journal of Radiology · 2007
Typereview
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsMount Sinai HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineRadiologyLungCarcinomaPathology

Abstract

fetched live from OpenAlex

Bronchioloalveolar cell carcinoma (BAC) has a varied appearance on CT that often leads to an incorrect or delayed diagnosis. The purpose of this pictorial review is to define common CT characteristics that are specific to BAC. A retrospective review was undertaken of 20 CT scans of pathologically proven cases of BAC; tumours were categorized as focal or diffuse, single or multiple, and infiltrative or well defined. Additional radiological features noted include the density (solid, part solid, non-solid), the presence of unaffected vessels within the tumour(s), and the presence of internal air bronchograms. We illustrate cases of localized and diffuse BAC presenting as (i) solitary or multiple pulmonary nodules, with and without air bronchograms, (ii) bubble-like lucencies of pseudocavitation associated with nodules of varying density, (iii) unifocal or multifocal ground-glass opacities, (iv) crazy paving, (v) nodules and airspace opacities with unaffected vessels coursing through them and (vi) lobar or multilobar consolidation and cavitating nodules. In conclusion, BAC may present with a variety of CT appearances. However, there are typical features such as the CT-angiogram sign or air-brochochograms in solitary nodules and in the periphery of larger consolidations, persisting pure ground-glass opacities, unresolving consolidation and the combination of diffuse nodules and consolidation. These features should alert the radiologist to the diagnosis of BAC.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.744
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.326
Teacher spread0.298 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations62
Published2007
Admission routes1
Has abstractyes

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