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Record W2317597214 · doi:10.1097/iop.0000000000000123

Dynamic Arterial and Valsalva-Augmented Venous Phase Multidetector CT for Orbital Vascular Lesions

2014· article· en· W2317597214 on OpenAlex
Manraj K.S. Heran, Jack Rootman, Bippan S. Sangha, Jason M. Yeo

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

VenueOphthalmic Plastic and Reconstructive Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicineValsalva maneuverMultidetector computed tomographyRadiologyCardiologyBlood pressureComputed tomography

Abstract

fetched live from OpenAlex

In Brief Purpose: To describe the value and purpose of a new method of dynamic arterial and Valsalva-augmented venous phase CT angiographic assessment of vascular orbital lesions. Methods: Description of a dynamic arterial and Valsalva-augmented venous phase multidetector CT protocol currently being used at the institution of the authors for investigation of orbital vascular lesions. Research ethics approval was not required by the institution because this is a 1-case report, with a pictorial review of imaging findings in various representative orbital vascular lesions. Results: One case of a distensible venous malformation depicts the clinical application of the imaging protocol. Key features of the malformation were demonstrated by arterial and venous phases of imaging. Conclusions: This technique is of value in diagnosis and management of vascular malformations of the orbit. We present a dynamic dual-phase CT angiographic protocol composed of arterial phase and Valsalva-augmented venous phase for assessment of vascular lesions of the orbit.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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