Literature DB >> 29674417

Value of Quantitative Collateral Scoring on CT Angiography in Patients with Acute Ischemic Stroke.

A M M Boers1,2,3, R Sales Barros4, I G H Jansen4,2, O A Berkhemer2, L F M Beenen2, B K Menon5, D W J Dippel6, A van der Lugt7, W H van Zwam8, Y B W E M Roos9, R J van Oostenbrugge10, C H Slump3,11, C B L M Majoie2, H A Marquering4,2.   

Abstract

BACKGROUND AND
PURPOSE: Many studies have emphasized the relevance of collateral flow in patients presenting with acute ischemic stroke. Our aim was to evaluate the relationship of the quantitative collateral score on baseline CTA with the outcome of patients with acute ischemic stroke and test whether the timing of the CTA acquisition influences this relationship.
MATERIALS AND METHODS: From the Multicenter Randomized Clinical Trial of Endovascular Treatment of Acute Ischemic Stroke in the Netherlands (MR CLEAN) data base, all baseline thin-slice CTA images of patients with acute ischemic stroke with intracranial large-vessel occlusion were retrospectively collected. The quantitative collateral score was calculated as the ratio of the vascular appearance of both hemispheres and was compared with the visual collateral score. Primary outcomes were 90-day mRS score and follow-up infarct volume. The relation with outcome and the association with treatment effect were estimated. The influence of the CTA acquisition phase on the relation of collateral scores with outcome was determined.
RESULTS: A total of 442 patients were included. The quantitative collateral score strongly correlated with the visual collateral score (ρ = 0.75) and was an independent predictor of mRS (adjusted odds ratio = 0.81; 95% CI, .77-.86) and follow-up infarct volume (exponent β = 0.88; P < .001) per 10% increase. The quantitative collateral score showed areas under the curve of 0.71 and 0.69 for predicting functional independence (mRS 0-2) and follow-up infarct volume of >90 mL, respectively. We found significant interaction of the quantitative collateral score with the endovascular therapy effect in unadjusted analysis on the full ordinal mRS scale (P = .048) and on functional independence (P = .049). Modification of the quantitative collateral score by acquisition phase on outcome was significant (mRS: P = .004; follow-up infarct volume: P < .001) in adjusted analysis.
CONCLUSIONS: Automated quantitative collateral scoring in patients with acute ischemic stroke is a reliable and user-independent measure of the collateral capacity on baseline CTA and has the potential to augment the triage of patients with acute stroke for endovascular therapy.
© 2018 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2018        PMID: 29674417     DOI: 10.3174/ajnr.A5623

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  10 in total

1.  Inter-rater reliability for assessing intracranial collaterals in patients with acute ischemic stroke: comparing 29 raters and an artificial intelligence-based software.

Authors:  Lennard Wolff; Jiahang Su; Derek Van Loon; Adriaan van Es; Pieter Jan van Doormaal; Charles Majoie; Wim van Zwam; Diederik Dippel; Aad van der Lugt; Theo van Walsum
Journal:  Neuroradiology       Date:  2022-05-24       Impact factor: 2.804

Review 2.  Collateral Status and Outcomes after Thrombectomy.

Authors:  Jin Soo Lee; Oh Young Bang
Journal:  Transl Stroke Res       Date:  2022-06-10       Impact factor: 6.829

3.  Metabolomic Characterization of Acute Ischemic Stroke Facilitates Metabolomic Biomarker Discovery.

Authors:  Biao Qi; Yanyu Zhang; Bing Xu; Yuhao Zhang; Guoqiang Fei; Ling Lin; Qiuping Li
Journal:  Appl Biochem Biotechnol       Date:  2022-07-05       Impact factor: 3.094

4.  Time Since Stroke Onset, Quantitative Collateral Score, and Functional Outcome After Endovascular Treatment for Acute Ischemic Stroke.

Authors:  Simone M Uniken Venema; Lennard Wolff; Sophie A van den Berg; Hendrik Reinink; Sven P R Luijten; Hester F Lingsma; Henk A Marquering; Anna M M Boers; Joost Bot; Sebastiaan Hammer; Paul J Nederkoorn; Yvo B W E M Roos; Charles B L M Majoie; Jan Willem Dankbaar; Aad van der Lugt; H Bart van der Worp
Journal:  Neurology       Date:  2022-08-02       Impact factor: 11.800

5.  Collateral Capacity Assessment : Robustness and Interobserver Agreement of Two Grading Scales and Agreement with Quantitative Scoring.

Authors:  Wenjin Yang; Jazba Soomro; Ivo G H Jansen; Aashish Venkatesh; Albert J Yoo; Demetrius Lopes; Ludo F M Beenen; Bart J Emmer; Charles B L M Majoie; Henk A Marquering
Journal:  Clin Neuroradiol       Date:  2022-09-26       Impact factor: 3.156

6.  Automated Detection of Ischemic Stroke and Subsequent Patient Triage in Routinely Acquired Head CT.

Authors:  Tom Finck; David Schinz; Lioba Grundl; Rami Eisawy; Mehmet Yiğitsoy; Julia Moosbauer; Claus Zimmer; Franz Pfister; Benedikt Wiestler
Journal:  Clin Neuroradiol       Date:  2021-08-31       Impact factor: 3.156

Review 7.  Computer-aided imaging analysis in acute ischemic stroke - background and clinical applications.

Authors:  Yahia Mokli; Johannes Pfaff; Daniel Pinto Dos Santos; Christian Herweh; Simon Nagel
Journal:  Neurol Res Pract       Date:  2019-08-15

8.  Preliminary Application of a Quantitative Collateral Assessment Method in Acute Ischemic Stroke Patients With Endovascular Treatments: A Single-Center Study.

Authors:  Ruoyao Cao; Peng Qi; Yun Jiang; Shen Hu; Gengfan Ye; Yaxin Zhu; Ling Li; Zilong You; Juan Chen
Journal:  Front Neurol       Date:  2021-12-23       Impact factor: 4.003

9.  Automated scoring of collaterals, blood pressure, and clinical outcome after endovascular treatment in patients with acute ischemic stroke and large-vessel occlusion.

Authors:  Daniel Guisado-Alonso; Pol Camps-Renom; Raquel Delgado-Mederos; Esther Granell; Luis Prats-Sánchez; Alejandro Martínez-Domeño; Marina Guasch-Jiménez; M Victoria Acosta; Anna Ramos-Pachón; Joan Martí-Fàbregas
Journal:  Front Neurol       Date:  2022-08-09       Impact factor: 4.086

10.  On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation.

Authors:  T I Józsa; R M Padmos; W K El-Bouri; A G Hoekstra; S J Payne
Journal:  Ann Biomed Eng       Date:  2021-06-21       Impact factor: 3.934

  10 in total

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