Evidence map›Paper›PMID 32098584›Full record

ArticleInternational journal of stroke : official journal of the International Stroke Society2021

qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients.

Haryadi Prasetya, Lucas A Ramos, Thabiso Epema, Kilian M Treurniet, Bart J Emmer, Ido R van den Wijngaard, Guang Zhang, Manon Kappelhof, Olvert A Berkhemer, Albert J Yoo and 10 more

Abstract read
In one paragraph

Article in International journal of stroke : official journal of the International Stroke Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Automated image registration of cerebral digital subtraction angiography.International journal of computer assisted radiology and surgery · 2024
    Article
  4. Article
  5. Review
  6. Eloquence-based reperfusion scoring and its ability to predict post-thrombectomy disability and functional status.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2022
    Article
  7. Article
  8. Review
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

20 authors.

Haryadi PrasetyaDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.ORCID 0000-0002-8019-6458
Lucas A RamosDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Thabiso EpemaDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Kilian M TreurnietDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Bart J EmmerDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Ido R van den WijngaardDepartment of Neurology, Haaglanden Medical Center, the Hague, the Netherlands.
Guang ZhangDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Manon KappelhofDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.ORCID 0000-0001-5250-8955
Olvert A BerkhemerDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Albert J YooDivision of Neurointervention, Texas Stroke Institute, Dallas, TX, USA.
Yvo Bewm RoosDepartment of Neurology, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Robert J van OostenbruggeDepartment of Neurology, Maastricht University Medical Center and Cardiovascular Research Institute, Maastricht, the Netherlands.
Diederik Wj DippelDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Wim H van ZwamDepartment of Radiology, Maastricht University Medical Center and Cardiovascular Research Institute, Maastricht, the Netherlands.
Aad van der LugtDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Bas Ajm de MolDepartment of Cardiothoracic Surgery, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Charles Blm MajoieDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Ed van BavelDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Henk A MarqueringDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
MR CLEAN Registry Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Thrombolysis in Cerebral Infarction (TICI) scale is an important outcome measure to evaluate the quality of endovascular stroke therapy. The TICI scale is ordinal and observer-dependent, which may result in suboptimal prediction of patient outcome and inconsistent reperfusion grading.

aimsWe present a semi-automated quantitative reperfusion measure (quantified TICI (qTICI)) using image processing techniques based on the TICI methodology.

methodsWe included patients with an intracranial proximal large vessel occlusion with complete, good quality runs of anteroposterior and lateral digital subtraction angiography from the MR CLEAN Registry. For each vessel occlusion, we identified the target downstream territory and automatically segmented the reperfused area in the target downstream territory on final digital subtraction angiography. qTICI was defined as the percentage of reperfused area in target downstream territory. The value of qTICI and extended TICI (eTICI) in predicting favorable functional outcome (modified Rankin Scale 0-2) was compared using area under receiver operating characteristics curve and binary logistic regression analysis unadjusted and adjusted for known prognostic factors.

resultsIn total, 408 patients with M1 or internal carotid artery occlusion were included. The median qTICI was 78 (interquartile range 58-88) and 215 patients (53%) had an eTICI of 2C or higher. qTICI was comparable to eTICI in predicting favorable outcome with area under receiver operating characteristics curve of 0.63 vs. 0.62 (P = 0.8) and 0.87 vs. 0.86 (P = 0.87), for the unadjusted and adjusted analysis, respectively. In the adjusted regression analyses, both qTICI and eTICI were independently associated with functional outcome.

conclusionqTICI provides a quantitative measure of reperfusion with similar prognostic value for functional outcome to eTICI score.

Indexed as

Brain IschemiaIschemic StrokeStrokeAngiography, Digital SubtractionBrainHumansReperfusionTreatment OutcomeDigital subtraction angiographyendovascular therapyischemic strokereperfusion

Identifiers

PMID32098584
PMCPMC7859588

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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.