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Record W3170904419 · doi:10.1148/ryct.2021210017

The Many Faces of Neonatal Ductus Arteriosus Aneurysms: Multimodality Imaging with an Emphasis on CT and MRI Appearance

2021· article· en· W3170904419 on OpenAlex
Badr Bannan, Safwat Aly, Shi‐Joon Yoo, Mike Seed, Christopher Z. Lam

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

VenueRadiology Cardiothoracic Imaging · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineDuctus arteriosusRadiologyAneurysmCardiac imagingFetal echocardiographyAbnormalityFetusPrenatal diagnosisPregnancyCardiology

Abstract

fetched live from OpenAlex

Neonatal ductus arteriosus aneurysm (DAA) is a rare abnormality that is typically diagnosed at fetal third trimester or early postnatal echocardiography. While echocardiography is usually adequate for diagnosis and clinical decision-making, cross-sectional imaging, including CT or cardiac MRI, may be necessary to clarify the diagnosis or delineate associated complications. Severe complications include thromboembolism, infection, compression of adjacent structures, airway erosion, and aneurysm rupture. This imaging essay reviews the pathophysiology and depicts the spectrum of cross-sectional imaging appearances of neonatal DAAs. Most neonatal DAAs will spontaneously regress and can be managed conservatively. Keywords: CT, MRI, Cardiac, Aneurysms, Congenital Supplemental material is available for this article. ©RSNA, 2021

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.007
GPT teacher head0.269
Teacher spread0.262 · 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