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Record W4384257695 · doi:10.1148/ryct.230059

Excipient Lung Disease in a Patient with Preexisting Chronic Thromboembolic Disease

2023· article· en· W4384257695 on OpenAlexaff
Gianni Giancaspro, Seth Kligerman

Bibliographic record

VenueRadiology Cardiothoracic Imaging · 2023
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineExcipientLungPulmonary embolismThromboembolic diseaseEmbolismDiseasePulmonary vasculatureRadiologyVascular diseaseThrombosisPathologyCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Excipient lung disease is an uncommon condition that occurs when crushed oral tablets are injected intravenously and cause pulmonary hypertension. Diagnosis requires a high degree of clinical suspicion and recognition of characteristic imaging findings. The authors present a previously unreported combination of findings in a patient with excipient lung disease and preexisting chronic thromboembolic disease. A pattern of diffuse centrilobular nodules with sparing of lung segments with chronically occluded pulmonary arteries was highly suggestive of the diagnosis and indicated a vascular cause. Pathologic specimen obtained at the time of pulmonary thromboendarterectomy helped confirm the clinically suspected entity. Keywords: Pulmonary Arteries, Embolism/Thrombosis, Foreign Bodies, Lung Supplemental material is available for this article. © RSNA, 2023

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)0.000
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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