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Record W2259065129 · doi:10.1161/str.43.suppl_1.a49

Abstract 49: Diagnostic Yield of Catheter Angiography in Patients with Subarachnoid Hemorrhage and Negative Initial Non-Invasive Neurovascular Examinations

2012· article· en· W2259065129 on OpenAlexaff
Josser E Delgado Almandoz, B Crandall, J Fease, J Scholz, Ruth E Anderson, D Tubman

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsCrandall University
Fundersnot available
KeywordsMedicineNeurovascular bundleCatheterSubarachnoid hemorrhageAngiographyRadiologyCerebral angiographyLesionSurgery

Abstract

fetched live from OpenAlex

Purpose: To determine the yield of catheter angiography for the detection of causative vascular lesions in patients with subarachnoid hemorrhage (SAH) who have a negative initial non-invasive neurovascular examination. Methods: Between January 1st, 2006 and August 1st, 2011, we instituted a prospective protocol by which patients who presented to our institution with SAH and had a negative initial non-invasive neurovascular examination (CT or MR angiogram [CTA, MRA]) were examined with catheter angiography to detect causative vascular lesions. Two experienced neuroradiologists evaluated the NCCTs to determine the pattern of SAH (diffuse, perimesencephalic or peripheral) and the catheter angiograms to assess for the presence of a causative vascular lesion. All differences in reader interpretation were resolved by consensus. Results: Forty-eight patients were included in our study, with a mean age of 58 years (median 59 years, range 25-84 years). Twenty-six patients were male (54.2%) and 22 female (45.8%). Twenty-eight patients had diffuse SAH (58.3%), 11 peripheral SAH (22.9%) and 9 perimesencephalic SAH (18.8%). The initial non-invasive neurovascular examination was a CTA in 41 patients (85.4%) and an MRA in 7 patients (14.6%). A second catheter angiogram was performed in 30 patients (62.5%). Mean time interval between the initial non-invasive neurovascular examination and the first catheter angiogram was 0.9 days (median 1 day, range 0-7 days) and the second catheter angiogram was 12.2 days (median 8.5 days, range 4-69 days). Catheter angiography demonstrated a causative vascular lesion in 4 patients (8.3%), 3 of which had diffuse SAH (yield of 10.7%) and 1 had peripheral SAH (yield of 9.1%). Of note, 1 of the causative vascular lesions was identified in a second catheter angiogram performed 8 days after the CTA in a patient with diffuse SAH. The vascular lesions identified were 2 dural arteriovenous fistulas, 1 pial cerebellopontine angle arteriovenous malformation with a 2-mm feeding artery aneurysm located in the internal auditory canal ( Figure ), and a 3-mm anterior communicating artery aneurysm. Two of the vascular lesions underwent endovascular embolization, 1 radiosurgery and 1 endovascular embolization followed by radiosurgery. In retrospect, the vascular lesion could be seen in the initial examination in 2 patients. Conclusion: Catheter angiography is a valuable tool in the evaluation of patients with diffuse and peripheral SAH who have a negative initial non-invasive neurovascular examination, demonstrating a causative vascular lesion in 10.7% and 9.1% of patients, respectively.

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)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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