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Record W2921032896 · doi:10.4103/sni.sni_388_18

Iatrogenic pseudoaneurysms associated with cerebrospinal fluid diversion procedures

2019· article· en· W2921032896 on OpenAlexaff
Michael D. Staudt, Alan Chalil, StephenP Lownie

Bibliographic record

VenueSurgical Neurology International · 2019
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicinePseudoaneurysmSurgeryShunt (medical)HydrocephalusComplicationCatheterCerebrospinal fluidInternal carotid arteryAneurysmRadiologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cerebrospinal fluid diversion procedures, including ventriculoperitoneal (VP) shunt and external ventricular drain insertion, are common treatments for hydrocephalus. Common complications include obstruction, infection, and hemorrhage. Pseudoaneurysm formation secondary to catheter insertion is a distinctly rare complication, and usually involves the anterior cerebral artery or branches of the external carotid artery (superficial temporal artery or middle meningeal artery). CASE DESCRIPTION: We present the case of a fusiform pseudoaneurysm in a 36-year-old female, which arose from a branch of the middle cerebral artery following VP shunt insertion. Parenchymal and intraventricular hemorrhage at the catheter insertion site developed 15 days postoperatively. The VP shunt was removed, and the aneurysmal segment was coagulated and occluded. Use of a limited dural opening during ventricular catheter placement may have been a factor in pseudoaneurysm formation. CONCLUSIONS: The literature regarding this rare complication is reviewed. Careful consideration should be given to vascular anatomy when planning shunt insertions, and a cruciate dural opening for cortical visualization and coagulation may help avoid this complication. Prompt identification and management of iatrogenic pseudoaneurysms is essential to avoid re-bleeding and associated hemorrhagic complications.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.237
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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