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E-092 Coil Embolization of Indirect Carotid-Cavernous Fistula: The Role of DynaCT in Pre-Treatment Planning

2016· article· en· W2570693762 on OpenAlexaff
Alex Botsford, J Shiva Shankar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCarotid-cavernous fistulaFistulaCavernous sinusCarotid-Cavernous Sinus FistulaSurgeryEmbolizationRadiologyComplicationOcclusion

Abstract

fetched live from OpenAlex

Introduction/purpose Indirect Carotid-Cavernous Fistulas (CCF) are arterio-venous shunts between branches of the ICA, ECA or both and the cavernous sinus. Indirect CCFs are treated with coil embolization when they present with orbital/visual symptoms or if there is cortical venous reflux. The target for endovascular treatment in indirect CCF is the occlusion of the venous side of the fistula. Due to intricate anatomy of the cavernous sinus, the fistula site and foot of the draining venous structure are difficult to localize with confidence. This makes treatment a complex and long procedure requiring a large number of coils. Most of the time the treatment is done without actually localizing the fistula site and by packing the whole cavernous sinus with coils, sometimes resulting in additional complications, long procedure times and a large number of coils used per procedure. The purpose of this study was to examine the role of DynaCT in pre-treatment localization of the fistula site for indirect CCF, and to examine if identification of fistula site would improve treatment by shortening the procedure time, requiring fewer coils or by reducing complication rate. Methods Patients with endovascular treatment of indirect CCF between 2005–2015 were retrospectively identified and reviewed from our institutional database. The patients were assessed to see if DynaCT was used in the planning of treatment to identify the site of fistula. All patients were divided into two groups- those who had DynaCT used for treatment planning and those who did not. These two groups were further compared in a retrospective cohort study. Results A total of 8 patients with 9 fistula sites were included, with a mean age of 52.3 years (range 40–67 years). The majority of the fistulas were Barrow Type D (75%), and 62.5% of cases also had cortical venous reflux. DynaCT was used in 5/8 (62.5%) patients. Transfemoral venous access to the fistula itself was possible in 7/8 patients (87.5%). One patient required direct surgical access via ophthalmic vein cut down. 7/8 patients reported resolution of symptoms at clinical follow-up (87.5%). Mean total coil length was significantly shorter for the group who had DynaCT than for the group who did not (156.4 cm, vs. 190 cm, p = 0.035). Mean procedural time was 209 minutes for the DynaCT group vs. 280 minutes for the Non-DynaCT group (p = 0.12). A transient neurological complication was seen in only one of the patients. Conclusion The use of DynaCT in pre-procedural planning allows identification of fistula site for indirect CCF and facilitates selective coil embolization of the foot of the vein. This results in the use of significantly shorter total coil length. Disclosures A. Botsford: None. J. Shiva Shankar: 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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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
Published2016
Admission routes1
Has abstractyes

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