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Standard of practice: embolization of spinal arteriovenous fistulae, spinal arteriovenous malformations, and tumors of the spinal axis

2012· review· en· W2097769531 on OpenAlexaboutno aff
Sandra Narayanan, Robert W. Hurst, Todd Abruzzo, Felipe C. Albuquerque, Kristine A. Blackham, Ketan R. Bulsara, Colin P. Derdeyn, Chirag D. Gandhi, Joshua A Hirsch, Daniel P. Hsu, Muhammad Shazam Hussain, Mahesh Jayaraman, Philip M. Meyers, Athos Patsalides, Charles J. Prestigiacomo

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2012
Typereview
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArteriovenous fistulaEmbolizationArteriovenous malformationIntracranial Arteriovenous MalformationsArteriovenous AnastomosisRadiologySurgeryAnatomyCerebral angiographyAngiographyAnastomosis

Abstract

fetched live from OpenAlex

Spinal vascular malformations include a heterogeneous group of pathological/anatomical entities with congenital and acquired etiologies that induce spinal cord dysfunction, primarily through intradural extramedullary drainage and enlargement of the coronal venous plexus, resulting in venous hypertension and/or a direct mass effect. These lesions are rare, comprising approximately 5% of neurovascular disorders. Clinical manifestations are pain or venous congestive myelopathy, usually in the thoracolumbar spine. This may progress to hemorrhage from vascular thrombosis and necrotizing myelopathy (Foix–Alajouanine syndrome).1 Due to the differing hemodynamics, pathophysiology, and treatment considerations, a thorough knowledge of the various types of spinal dural arteriovenous fistulas (dAVFs) and arteriovenous malformations (AVMs) is essential. The first descriptions of the single coiled dural vessel form of spinal dAVF with intradural extramedullary venous drainage were published by Kendall and Logue in 1977.2 Type I spinal dAVFs (also known as angioma racemosum venosum) are the most common and comprise 56% of all spinal lesions in the spinal vascular malformation database at the University of Toronto.3 They occur nearly 3–4 times as frequently in men. These generally low flow lesions may be further divided into type I-A (single feeder dAVFs) and I-B (≥2 arterial feeders).4 Although they are typically supplied via radicular arteries, anterior spinal artery feeders have also been reported.5 Type II spinal AVMs (also known as angioma racemosum arteriovenosum) are characterized by a compact, glomus-type, totally intramedullary nidus. They have no gender predominance but are symptomatic in younger patients. Type III (juvenile or metameric) spinal AVMs are highly complex intramedullary lesions that frequently extend into the extramedullary, epidural, or even extraspinal compartments. Vascular …

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.073
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0730.059

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 head0.057
GPT teacher head0.347
Teacher spread0.290 · 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 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

Citations8
Published2012
Admission routes1
Has abstractyes

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