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Record W2753339854 · doi:10.1161/str.43.suppl_1.a3046

Abstract 3046: Co-registration and 3D Comparison Reveal a Variable Trajectory of Intracerebral Hemorrhage Expansion in Relation to Spot Sign Location: Analysis from the PREDICT Study

2012· article· en· W2753339854 on OpenAlexaffabout
Matthew Boyko, Robert K. Kosior, Dar Dowlatshahi, Jayme C. Kosior, David Rodríguez‐Luna, Carlos A. Molina, Imanuel Dzialowski, Anna Członkowska, Jean-Martin Boulanger, Cheemun Lum, Gord Gubitz, Vasantha Padma, Jayanta Roy, Carlos S. Kase, David J. Gladstone, Eric E. Smith, Richard I. Aviv, Andrew M. Demchuk

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicMRI in cancer diagnosis
Canadian institutionsOntario Stroke NetworkSunnybrook Health Science CentreUniversity of CalgaryHôpital Charles-Le MoyneDalhousie UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineIntracerebral hemorrhageSign (mathematics)VoxelBright spotNuclear medicineRadiologyContrast (vision)SurgeryOpticsPhysicsGlasgow Coma Scale

Abstract

fetched live from OpenAlex

Background: Intracerebral hemorrhage (ICH) expansion can have devastating effects for patients. The spot sign, a form of contrast extravasation, has been shown to predict hemorrhage expansion. However, the relationship between the location of the spot sign within the ICH and the direction of hemorrhage expansion has not been defined. We hypothesized that the spot sign can predict the trajectory of ICH expansion. Methods: Data from PREDICT, a prospective, observational cohort study coordinated at the University of Calgary, were used to conduct this case series. Non-contrast computed tomography (CT) and CT-angiography data were obtained for each subject. We used segmentation software to outline ICH volume on baseline and follow-up CTs. We then co-registered the scans and volumes in the same space to allow for three-dimensional voxel-to-voxel comparison along the x-, y-, and z-axes. This comparison yielded three points in three-dimensional space: the spot sign center of mass, the baseline ICH center of mass, and the follow-up ICH center of mass. Distances and angles between these points were used to classify four groups of ICH expansion: 1) perpendicular to the spot sign and baseline ICH center of mass; 2) away from the spot sign; 3) toward the spot sign; and, 4) circumferential. Results: Eighty-two PREDICT study subjects exhibited spot signs. Forty were multiple spot signs and 42 were single spot signs eligible for this analysis. Seven subjects were excluded because of surgery or incomplete imaging. Sixteen subjects were not co-registered because of head motion or insufficient image quality. Nineteen single spot subjects were successfully co-registered. The radius of these 19 hemorrhages was 1.6±0.4 cm (assuming a sphere). The spot sign was located 1.4±0.6 times the length of the radius away from the baseline ICH center of mass. We classified nine co-registered subjects into the four groups because they showed significant hemorrhage expansion defined as ≥6 mL or ≥33% from baseline to follow-up. Four subjects exhibited hemorrhage expansion away from the spot sign, three exhibited circumferential hemorrhage expansion, and two exhibited hemorrhage expansion toward the spot sign. No hemorrhages expanded perpendicular to the spot sign. Conclusion: The spot sign is generally located in the periphery of the ICH. Hemorrhages do not consistently expand in one specific trajectory from the spot sign. This study suggests that the spot sign location may not be useful to predict the direction of hemorrhage expansion.

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 score0.003
Threshold uncertainty score0.007

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.306
Teacher spread0.280 · 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".

Quick stats

Citations1
Published2012
Admission routes2
Has abstractyes

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