Evidence map›Paper›PMID 30288551›Full record

ArticleNeuroradiology2019

Single-phase CT angiography: collateral grade is independent of scan weighting.

Daniel-Alexandre Bisson, David Mahmoudian, Anwar S Shatil, Ghouth Waggass, Liying Zhang, Christopher Levi, Neil J Spratt, Longting Lin, David Liebeskind, Mark Parsons and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Optimization of collateral grading on computer tomography angiography.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Daniel-Alexandre BissonDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada.
David MahmoudianDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada.
Anwar S ShatilDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada.
Ghouth WaggassDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada.
Liying ZhangDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada.
Christopher LeviDepartment of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia.
Neil J SprattDepartment of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia.
Longting LinDepartment of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia.
David LiebeskindUCLA Stroke Center, UCLA Neuroscience Research Building, 635 Charles E Young Drive South, Suite 225, Los Angeles, CA, 90095-7334, USA.
Mark ParsonsDepartment of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia.
Andrew BivardDepartment of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia.
Richard I AvivDepartment of Medical Imaging, Division of Neuroradiology, Sunnybrook Health Sciences Centre, AG31e, 2075 Bayview Avenue, Toronto, M4N3M5, Canada. Richard.aviv@sunnybrook.ca.ORCID http://orcid.org/0000-0003-0259-970X

Funding

National Health and Medical Research Council 1043913National Health and Medical Research Council APP1013719National Health and Medical Research Council APPS1110629
6 · The paper itself

Abstract

purposeCollateral grading may vary on single-phase CTA (sCTA) depending on whether the CTA is arterial (A), arteriovenous (AV), or venous (V) weighted. We studied the impact of sCTA weighting on collateral grading using the Tan, MAAS, and Menon methods, and their ability to predict infarct and clinical outcome hypothesizing that AV-weighted sCTA should better predict these outcomes.

methodsMulticenter retrospective analysis of 212 patients undergoing baseline CTP/sCTA. sCTA weighting was determined by comparing ICA to torcula AV ratios with those from concomitant CTP time-density curves at peak arterial or venous contrast attenuation. A generalized linear mixed model investigated the predictive value for infarct volume or 90-day mRS of the three collateral scores stratified by sCTA weighting and adjusting for age, sex, clot burden score (CBS), and NIHSS. Bayesian information criterion (BIC) differences were calculated between the null and fitted models.

resultsMean age, baseline median NIHSS, ASPECTS, and onset to treatment time were 69.89 ± 14.45, 13 (6-18), 10 (8-10), and 128 (66-181) minutes. sCTA scans were AV-weighted in 137/212 (65%) and A-weighted in 73 (34%). No association was demonstrated between sCTA weighting, hospital site, and sCTA technique. All collateral scores were related to infarct volume irrespective of sCTA weighting, with greatest fit with the regional leptomeningeal score (BIC 18.29, p = 0.0001). No association was shown between sCTA weighting, collateral grade, and clinical outcome.

conclusionsCTA weighting did not significantly impact collateral grade using three common collateral scores or their ability to predict final infarct.

Indexed as

AgedAustraliaBayes TheoremCanadaCerebral AngiographyCerebral InfarctionComputed Tomography AngiographyFemaleHumansMagnetic Resonance AngiographyMalePredictive Value of TestsRegistriesRetrospective StudiesCollateralsDynamic CTAMultiphase CTASingle-phase CTAStroke

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.