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O-005 New cone beam CT assessment of acute stroke patients: are we ready for prime time?

2018· article· en· W2890839315 on OpenAlexaff
Nicole M Cancelliere, Thijs Grünhagen, John Bracken, Fred van Nijnatten, Timo Krings, Vítor Mendes Pereira

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsToronto Western HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineStroke (engine)Cone beam ctCone beam computed tomographyPerfusion scanningRadiologyRevascularizationImage qualityNuclear medicineFluoroscopyPerfusionComputed tomographyInternal medicine

Abstract

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<h3>Introduction</h3> Large vessel occlusions have been successfully treated with mechanical thrombectomy in recent years. Reducing the time between symptom onset and revascularization has the potential to significantly improve patient’s outcome. As intrahospital transfer from CT to the angiosuite can delay revascularization therapy by up to 60 min, recent cone-beam CT based stroke imaging software for the angiosuite has been developed in an attempt to create a ‘one-stop-shop stroke suite’ in angio. The purpose of this study is to evaluate this stroke imaging acquired in the angiosuite and compare to standard CT. <h3>Materials and methods</h3> We included in this study patients who received endovascular mechanical thrombectomy (EVT) treatment that performed standard CT and CT perfusion (CTP) imaging within 90 min before arrival to the angiosuite. Upon arrival, patients were imaged using two unique conebeam CTs: 1) a non-enhanced XperCT ‘mask’ image, followed by 2) a dual-phase (DP) IV contrast enhanced XperCT. Fluoroscopy was used to determine arrival of contrast in the circle of willis and initiate the DP scans. DP scans provide volumetric images of two phases referred to as ‘early’ and ‘late’ brain perfusion phases. The specialized stroke analysis software (Philips, Best) then performs a subtraction of these two phases to highlight brain regions of delayed filling. Using a 5-point quality assessment questionnaire, the perfusion XperCT imaging acquired in the angio-suite was evaluated by an experienced interventional neuroradiologist and compared to previously acquired standard CT and CTP imaging and follow-up CT imaging acquired 24 hours later. <h3>Results</h3> We included currently 20 patients. Preliminary results demonstrated that the XperCT stroke imaging software in the angiosuite sufficiently provides the necessary diagnostic information required for treatment decision-making, including detection of ischemic core (ASPECTS score), collaterals (good, moderate or bad) and vessel patency (occluded vessel and baseline TIMI). More specifically, core definition compared to baseline CT, CT perfusion and follow-up CT demonstrated good predictability of the final infarct in cases with complete revascularization in less than 60 min after baseline imaging. Data analysis and statistics will be presented at the conference as well as images examples for comparison and illustration. <h3>Conclusion</h3> Currently, stroke patients must first visit the CT department for imaging to confirm LVO before going to the angiography suite for EVT treatment. Preliminary results from analysis of this cone-beam CT assessment suggests that in the future eligible patients can bypass CT and go straight to the angiosuite for imaging and treatment. <h3>Disclosures</h3> <b>N. Cancelliere:</b> None. <b>T. Grunhagen:</b> 5; C; Philips. <b>J. Bracken:</b> 5; C; Philips. <b>F. Nijnatten:</b> 5; C; Philips. <b>T. Krings:</b> None. <b>V. Mendes Pereira:</b> 1; C; Philips.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.715
Threshold uncertainty score0.754

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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Citations1
Published2018
Admission routes1
Has abstractyes

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