Quantitative collateral grading on CT angiography in patients with acute ischemic stroke

MR CLEAN Investigators

doi:10.1007/978-3-319-67564-0_18

Quantitative collateral grading on CT angiography in patients with acute ischemic stroke

MR CLEAN Investigators

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

10 Citations (Scopus)

16 Downloads (Pure)

Abstract

Reliable assessment of collateral blood supply is important in acute ischemic stroke. We propose a quantitative method for evaluation of collateral status on CT angiography (CTA). We collected CTA images of 70 patients from MR CLEAN with an occlusion in the M1 branch. Our proposed quantitative collateral score (qCS) consisted of atlas-based territory-at-risk identification and vessel segmentation using a Hessian-based filter. Ground truth was obtained by manual collateral scoring (mCS). Accuracy was evaluated by analysis of Spearman ρ and one-way ANOVA. Correlation of mCS and qCS with tissue death and functional outcome was assessed. Receiver operating characteristics curves of mCS and qCS were analyzed to distinguish favorable from unfavorable outcome. qCS strongly correlated with mCS and showed reliable correlations with tissue death and functional outcome. qCS showed higher discriminative power between favorable and unfavorable compared to mCS, indicating potential clinical value.

Original language	English
Title of host publication	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
Subtitle of host publication	5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings
Editors	M. Jorge Cardoso, Tal Arbel, Fei Gao
Place of Publication	Cham
Publisher	Springer
Pages	176-184
Number of pages	9
ISBN (Electronic)	978-3-319-67564-0
ISBN (Print)	978-3-319-67563-3
DOIs	https://doi.org/10.1007/978-3-319-67564-0_18
Publication status	Published - 1 Jan 2017
Event	1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 - Quebec City, Canada Duration: 14 Sept 2017 → 14 Sept 2017 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10555
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Publisher	Springer

Workshop

Workshop	1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017
Abbreviated title	SWITCH
Country/Territory	Canada
City	Quebec City
Period	14/09/17 → 14/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Acute ischemic stroke
Automatic assessment
Collateral status
CT angiography
Endovascular therapy

Access to Document

10.1007/978-3-319-67564-0_18

Cite this

MR CLEAN Investigators (2017). Quantitative collateral grading on CT angiography in patients with acute ischemic stroke. In M. J. Cardoso, T. Arbel, & F. Gao (Eds.), Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings (pp. 176-184). (Lecture Notes in Computer Science; Vol. 10555), (Image Processing, Computer Vision, Pattern Recognition, and Graphics). Springer. https://doi.org/10.1007/978-3-319-67564-0_18

MR CLEAN Investigators. / Quantitative collateral grading on CT angiography in patients with acute ischemic stroke. Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. editor / M. Jorge Cardoso ; Tal Arbel ; Fei Gao. Cham : Springer, 2017. pp. 176-184 (Lecture Notes in Computer Science). (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

@inproceedings{22883cc2bcc64be1ae318e7026db119a,

title = "Quantitative collateral grading on CT angiography in patients with acute ischemic stroke",

abstract = "Reliable assessment of collateral blood supply is important in acute ischemic stroke. We propose a quantitative method for evaluation of collateral status on CT angiography (CTA). We collected CTA images of 70 patients from MR CLEAN with an occlusion in the M1 branch. Our proposed quantitative collateral score (qCS) consisted of atlas-based territory-at-risk identification and vessel segmentation using a Hessian-based filter. Ground truth was obtained by manual collateral scoring (mCS). Accuracy was evaluated by analysis of Spearman ρ and one-way ANOVA. Correlation of mCS and qCS with tissue death and functional outcome was assessed. Receiver operating characteristics curves of mCS and qCS were analyzed to distinguish favorable from unfavorable outcome. qCS strongly correlated with mCS and showed reliable correlations with tissue death and functional outcome. qCS showed higher discriminative power between favorable and unfavorable compared to mCS, indicating potential clinical value.",

keywords = "Acute ischemic stroke, Automatic assessment, Collateral status, CT angiography, Endovascular therapy",

author = "Boers, \{Anna M.M.\} and \{Sales Barros\}, Renan and Jansen, \{Ivo G.H.\} and Slump, \{Cornelis H.\} and Dippel, \{Diederik W.J.\} and \{van der Lugt\}, Aad and \{van Zwam\}, \{Wim H.\} and Roos, \{Yvo B.W.E.M.\} and \{van Oostenbrugge\}, \{Robert J.\} and Majoie, \{Charles B.L.M.\} and Marquering, \{Henk A.\} and \{MR CLEAN Investigators\}",

year = "2017",

month = jan,

day = "1",

doi = "10.1007/978-3-319-67564-0\_18",

language = "English",

isbn = "978-3-319-67563-3",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "176--184",

editor = "Cardoso, \{M. Jorge\} and Tal Arbel and Fei Gao",

booktitle = "Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment",

address = "Germany",

note = "1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017, SWITCH ; Conference date: 14-09-2017 Through 14-09-2017",

}

MR CLEAN Investigators 2017, Quantitative collateral grading on CT angiography in patients with acute ischemic stroke. in MJ Cardoso, T Arbel & F Gao (eds), Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. Lecture Notes in Computer Science, vol. 10555, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer, Cham, pp. 176-184, 1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017, Quebec City, Quebec, Canada, 14/09/17. https://doi.org/10.1007/978-3-319-67564-0_18

Quantitative collateral grading on CT angiography in patients with acute ischemic stroke. / MR CLEAN Investigators.
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. ed. / M. Jorge Cardoso; Tal Arbel; Fei Gao. Cham: Springer, 2017. p. 176-184 (Lecture Notes in Computer Science; Vol. 10555), (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Quantitative collateral grading on CT angiography in patients with acute ischemic stroke

AU - Boers, Anna M.M.

AU - Sales Barros, Renan

AU - Jansen, Ivo G.H.

AU - Slump, Cornelis H.

AU - Dippel, Diederik W.J.

AU - van der Lugt, Aad

AU - van Zwam, Wim H.

AU - Roos, Yvo B.W.E.M.

AU - van Oostenbrugge, Robert J.

AU - Majoie, Charles B.L.M.

AU - Marquering, Henk A.

AU - MR CLEAN Investigators

N1 - Conference code: 1

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Reliable assessment of collateral blood supply is important in acute ischemic stroke. We propose a quantitative method for evaluation of collateral status on CT angiography (CTA). We collected CTA images of 70 patients from MR CLEAN with an occlusion in the M1 branch. Our proposed quantitative collateral score (qCS) consisted of atlas-based territory-at-risk identification and vessel segmentation using a Hessian-based filter. Ground truth was obtained by manual collateral scoring (mCS). Accuracy was evaluated by analysis of Spearman ρ and one-way ANOVA. Correlation of mCS and qCS with tissue death and functional outcome was assessed. Receiver operating characteristics curves of mCS and qCS were analyzed to distinguish favorable from unfavorable outcome. qCS strongly correlated with mCS and showed reliable correlations with tissue death and functional outcome. qCS showed higher discriminative power between favorable and unfavorable compared to mCS, indicating potential clinical value.

AB - Reliable assessment of collateral blood supply is important in acute ischemic stroke. We propose a quantitative method for evaluation of collateral status on CT angiography (CTA). We collected CTA images of 70 patients from MR CLEAN with an occlusion in the M1 branch. Our proposed quantitative collateral score (qCS) consisted of atlas-based territory-at-risk identification and vessel segmentation using a Hessian-based filter. Ground truth was obtained by manual collateral scoring (mCS). Accuracy was evaluated by analysis of Spearman ρ and one-way ANOVA. Correlation of mCS and qCS with tissue death and functional outcome was assessed. Receiver operating characteristics curves of mCS and qCS were analyzed to distinguish favorable from unfavorable outcome. qCS strongly correlated with mCS and showed reliable correlations with tissue death and functional outcome. qCS showed higher discriminative power between favorable and unfavorable compared to mCS, indicating potential clinical value.

KW - Acute ischemic stroke

KW - Automatic assessment

KW - Collateral status

KW - CT angiography

KW - Endovascular therapy

UR - https://www.scopus.com/pages/publications/85029605024

U2 - 10.1007/978-3-319-67564-0_18

DO - 10.1007/978-3-319-67564-0_18

M3 - Conference contribution

AN - SCOPUS:85029605024

SN - 978-3-319-67563-3

T3 - Lecture Notes in Computer Science

SP - 176

EP - 184

BT - Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

A2 - Cardoso, M. Jorge

A2 - Arbel, Tal

A2 - Gao, Fei

PB - Springer

CY - Cham

T2 - 1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017

Y2 - 14 September 2017 through 14 September 2017

ER -

MR CLEAN Investigators. Quantitative collateral grading on CT angiography in patients with acute ischemic stroke. In Cardoso MJ, Arbel T, Gao F, editors, Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. Cham: Springer. 2017. p. 176-184. (Lecture Notes in Computer Science). (Image Processing, Computer Vision, Pattern Recognition, and Graphics). doi: 10.1007/978-3-319-67564-0_18

Quantitative collateral grading on CT angiography in patients with acute ischemic stroke

Abstract

Publication series

Workshop

UN SDGs

Keywords

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