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Record W4386032756 · doi:10.1136/jnis-2023-esmint.17

O17/171  World’s first robotic assisted cerebral aneurysm embolization international trial

2023· article· en· W4386032756 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsSt. Michael's HospitalToronto Western Hospital
Fundersnot available
KeywordsMedicineNeurovascular bundleAneurysmEmbolizationInternal carotid arteryClinical trialSurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Robotic assisted neurointervention is a recently available technology with exciting future applications in the treatment of neurovascular diseases. <h3>Aim of Study</h3> To evaluate the effectiveness and safety of robotic platform Corpath GRX (Siemens Healthineers Endovascular Robotics, Newton, MA, USA) for treating cerebral aneurysms alongside 6 months clinical follow-up. <h3>Methods</h3> This prospective, international, multi-center study enrolled patients with clinical indication for endovascular coil and/or stent-assist coiling embolization. The primary effectiveness was defined as successful completion of the robotic-assisted endovascular procedure absent any unplanned conversion to manual. An independent clinical evaluation committee assessed outcomes gathered over the course of six months post-procedure. <h3>Results</h3> The study enrolled 117 patients among 10 international sites, with mean age of 56.6 years and 74.4% females. Headache was the most common presenting symptom in 34.2% subjects. Internal Carotid Artery was the most common location (27.9%) and the mean aneurysm height and neck width were 5.7±2.6 mm and 3.5±1.4 mm respectively. Primary effectiveness was achieved in 94% (110/117) subjects with seven subjects requiring conversion to manual procedure. Only 4 primary safety events were recorded with 2 intraprocedural aneurysm ruptures and 2 minor strokes. Raymond Roy Classification Scale of 1 was achieved in 94.1% (96/102) subjects at 6 months follow-up, with mRS of ≤2 for 98.9% (87/88) subjects. <h3>Conclusion</h3> This trial affirms the efficacy and safety of robotic-assisted cerebral aneurysm treatments, and serves as a steppingstone towards the potential future application of building on the current technological platform for achieving the goal of remote thrombectomy. <h3>Disclosure of Interest</h3> Vitor Mendes Pereira : Siemens Hal Rice : NOD Laetitia Villiers : NOD Nader Sourour : Balt, Medtronic, Radical Frédéric Clarençon : Artedrone, Stryker, Balt, Medtronic, Intradys Julian Spears : NOD Alejandro Tomasello : NOD Marc Ribo : NOD Vincent Costalat : NOD Gregory Gascou : NOD Pasquale Mordasini : Siemens Jan Gralla : Siemens Mario Martinez Galdamez : NOD Jorge Galván-Fernández : NOD Monika Killer-Oberpfalzer : Siemens Raymond Turner : Medtronic,Microvention,Q’Apel,Integra,Siemens,Endostream,E8,New View Surgical,Viseon Raphael Blanc : Basecamp Vascular BCV Michel Piotin : NOD

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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.039
GPT teacher head0.295
Teacher spread0.256 · 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