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Record W4400892606 · doi:10.1136/jnis-2024-snis.39

O-039 Innovative transvenous access routes for the embolization of CSF-venous fistulae: a case series

2024· article· en· W4400892606 on OpenAlexaboutno aff
J Clarke, R. Michael Meyer, Matthew N. Anderson, Melanie Walker, Michael R. Levitt, L Kim, Basavaraj Ghodke

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsVenous accessEmbolizationSeries (stratigraphy)Computer scienceMedicineRadiologyGeology

Abstract

fetched live from OpenAlex

Introduction Cerebrospinal fluid (CSF) venous fistulae pose a significant therapeutic challenge due to their complex diagnosis and varied treatment outcomes. Traditional treatments, such as epidural blood patches and surgical ligation, have been foundational yet occasionally limited in managing this condition. Recent advancements in endovascular techniques, particularly transvenous embolization via microcatheterization, offer a promising avenue for effective treatment. This technique’s innovative application, leveraging anatomical nuances for access, can be used to target CSF-venous fistulae through the spine. We present novel roadmaps for access particularly targeting CSF-venous fistulae in the upper thoracic region and cervicothoracic junction, areas previously deemed challenging. The purpose of this study is to present a series of 8 patients treated for CSF-venous fistulae utilizing novel transvenous access routes, not previously documented in the literature, emphasizing the importance of anatomical variability in improving treatment outcomes. Methods This retrospective case series analyzes 8 patients diagnosed with CSF-venous fistulae, focusing on those located at the upper thoracic and cervicothoracic junction. Recognizing the anatomical anastomosis between the hemiazygos vein and the left renal vein as a potential access route, we explored novel endovascular pathways for embolization. The procedure involved accessing the left renal vein from the inferior vena cava (IVC), diverging from the standard approach that navigates from the superior vena cava (SVC) through the azygos system. The selection criteria, procedural details, embolization technique, and follow-up protocols are elaborated, providing a comprehensive overview of the methodology employed in addressing these fistulae. Results Of the 8 patients treated using this innovative approach, significant improvement or resolution of symptoms was observed in all cases, with no major complications reported. This success underscores the viability of accessing the left renal vein as a safer and more effective route for embolizing fistulae in the upper thoracic and cervicothoracic junction. The case series demonstrates a 100% success rate in embolization procedures utilizing these novel transvenous access routes, highlighting the potential for enhanced patient outcomes through anatomically informed strategies. Conclusions The findings from this case series suggest novel navigation in anatomically challenging regions. The use of the left renal vein for transvenous access offers an effective and safe alternative to traditional approaches in managing CSF-venous fistulae. Disclosures J. Clarke: None. R. Meyer: None. M. Anderson: None. M. Walker: None. M. Levitt: 1; C; Medtronic, Stryker. 6; C; Proprio, Stroke Diagnostics, Synchron, Hyperion Surgical, Fluid Biomed, Apertur, Metis Innovative, Aeaean Advisers, Stereotaxis, Arsenal Medical. L. Kim: 2; C; Phillips North America. 4; C; Spi Surgical. B. Ghodke: None.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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