Evidence map›Paper›PMID 37226428›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2025

Optimization of collateral grading on computer tomography angiography.

Leonardo Pisani, Diogo C Haussen, Mahmoud Mohammaden, Catarina Perry da Camara, Gabriel M Rodrigues, Mehdi Bouslama, Alhamza Al-Bayati, Ranliang Hu, Nicholas Bianchi, Nirav Ravindra Bhatt and 2 more

Abstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Leonardo PisaniRadiology Department, St Vincent Hospital, Worcester, MA, USA.ORCID 0000-0003-0300-6355
Diogo C HaussenMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Mahmoud MohammadenMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Catarina Perry da CamaraRadiology Department, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal.
Gabriel M RodriguesMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Mehdi BouslamaMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Alhamza Al-BayatiDepartment of Neurology & Neurosurgery, UPMC Stroke Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Ranliang HuDepartment of Radiology, Grady Memorial Hospital/Emory University, Atlanta, GA, USA.
Nicholas BianchiMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Nirav Ravindra BhattMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Michael FrankelMarcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Raul G NogueiraDepartment of Neurology & Neurosurgery, UPMC Stroke Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundAs compared to single-phase CTA (sCTA), multi-phase CTA (mCTA) has been shown to more accurately estimate collateral flow in acute ischemic stroke (AIS). We sought to determine the characterization of poor collaterals across the three different phases of the mCTA. We also attempted to establish the optimal arterio-venous contrast timing parameters on sCTA that would prevent false positive reads of poor collateral status.MethodsWe retrospectively screened consecutive patients admitted for possible thrombectomy from February 2018 to June 2019. Only cases with intracranial internal carotid artery (ICA) or main trunk of the middle cerebral artery (MCA) occlusion and both baseline mCTA and CT Perfusion available were included. Mean Hounsfield units (HU) of torcula and torcula/patent ICA ratio were used for the arterio-venous timing analysis.ResultsOf the 105 patients included, 35 (34%) received IV-tPA treatment and 65 (61.9%) underwent mechanical thrombectomy. A total of 20 patients (19%) had poor collaterals on the third-phase CTA (ground-truth). The first-phase CTA often underestimated collateral score (37/105 [35%], p < 0.01), however there were no significant differences across the second- and third-phases (5/105[5%], p  =  0.06. Venous opacification Youden's J point for identifying suboptimal sCTAs was found to be 207.9HU in the torcula (65% sensitivity,65% specificity) and 66.74% for torcula/patent ICA ratio (51% sensitivity,73% specificity).ConclusionA dual-phase CTA is significantly similar to a mCTA assessment of collateral score and may be applied at community-based centers. Absolute or relative thresholds for torcula opacification may be used to identify poor bolus-scan timing thus preventing erroneous assumptions of poor collaterals on sCTA.

Indexed as

Cerebral AngiographyCollateral CirculationComputed Tomography AngiographyInfarction, Middle Cerebral ArteryIschemic StrokeAgedAged, 80 and overCarotid Artery, InternalCerebrovascular CirculationContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesThrombectomyContrast MediaComputed tomography angiographyCT perfusionstrokethrombectomy

Identifiers

PMID37226428
PMCPMC12280266

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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.