Literature DB >> 27899743

e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients.

Simon Nagel1, Devesh Sinha2, Diana Day3, Wolfgang Reith4, René Chapot5, Panagiotis Papanagiotou6, Elizabeth A Warburton7, Paul Guyler2, Sharon Tysoe2, Klaus Fassbender8, Silke Walter8,9, Marco Essig10, Jens Heidenrich11, Angelos A Konstas12, Michael Harrison13, Michalis Papadakis14, Eric Greveson14, Olivier Joly14, Stephen Gerry15, Holly Maguire16, Christine Roffe16, James Hampton-Till13, Alastair M Buchan9, Iris Q Grunwald2,14,17.   

Abstract

Background The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is an established 10-point quantitative topographic computed tomography scan score to assess early ischemic changes. We performed a non-inferiority trial between the e-ASPECTS software and neuroradiologists in scoring ASPECTS on non-contrast enhanced computed tomography images of acute ischemic stroke patients. Methods In this multicenter study, e-ASPECTS and three independent neuroradiologists retrospectively and blindly assessed baseline non-contrast enhanced computed tomography images of 132 patients with acute anterior circulation ischemic stroke. Follow-up scans served as ground truth to determine the definite area of infarction. Sensitivity, specificity, and accuracy for region- and score-based analysis, receiver-operating characteristic curves, Bland-Altman plots and Matthews correlation coefficients relative to the ground truth were calculated and comparisons were made between neuroradiologists and different pre-specified e-ASPECTS operating points. The non-inferiority margin was set to 10% for both sensitivity and specificity on region-based analysis. Results In total 2640 (132 patients × 20 regions per patient) ASPECTS regions were scored. Mean time from onset to baseline computed tomography was 146 ± 124 min and median NIH Stroke Scale (NIHSS) was 11 (6-17, interquartile range). Median ASPECTS for ground truth on follow-up imaging was 8 (6.5-9, interquartile range). In the region-based analysis, two e-ASPECTS operating points (sensitivity, specificity, and accuracy of 44%, 93%, 87% and 44%, 91%, 85%) were statistically non-inferior to all three neuroradiologists (all p-values <0.003). Both Matthews correlation coefficients for e-ASPECTS were higher (0.36 and 0.34) than those of all neuroradiologists (0.32, 0.31, and 0.3). Conclusions e-ASPECTS was non-inferior to three neuroradiologists in scoring ASPECTS on non-contrast enhanced computed tomography images of acute stroke patients.

Entities:  

Keywords:  Alberta Stroke Program Early Computed Tomography Score; computed tomography; ischemic stroke; machine learning

Mesh:

Year:  2016        PMID: 27899743     DOI: 10.1177/1747493016681020

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  35 in total

1.  Innovative use of artificial intelligence and digital communication in acute stroke pathway in response to COVID-19.

Authors:  Kiruba Nagaratnam; George Harston; Enrico Flossmann; Clara Canavan; Rui Carmelo Geraldes; Chani Edwards
Journal:  Future Healthc J       Date:  2020-06

2.  Automated ASPECT rating: comparison between the Frontier ASPECT Score software and the Brainomix software.

Authors:  Juliane Goebel; Elena Stenzel; Nika Guberina; Isabel Wanke; Martin Koehrmann; Christoph Kleinschnitz; Lale Umutlu; Michael Forsting; Christoph Moenninghoff; Alexander Radbruch
Journal:  Neuroradiology       Date:  2018-09-15       Impact factor: 2.804

3.  Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine.

Authors:  Nika Guberina; U Dietrich; A Radbruch; J Goebel; C Deuschl; A Ringelstein; M Köhrmann; C Kleinschnitz; M Forsting; C Mönninghoff
Journal:  Neuroradiology       Date:  2018-07-31       Impact factor: 2.804

Review 4.  Infarct topography and functional outcomes.

Authors:  Mark R Etherton; Natalia S Rost; Ona Wu
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-27       Impact factor: 6.200

Review 5.  Imaging assessment of acute ischaemic stroke: a review of radiological methods.

Authors:  Aubrey George Smith; Chris Rowland Hill
Journal:  Br J Radiol       Date:  2017-12-11       Impact factor: 3.039

Review 6.  [Imaging in acute ischemic stroke using automated postprocessing algorithms].

Authors:  K Egger; C Strecker; E Kellner; H Urbach
Journal:  Nervenarzt       Date:  2018-08       Impact factor: 1.214

7.  Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning.

Authors:  H Kuang; M Najm; D Chakraborty; N Maraj; S I Sohn; M Goyal; M D Hill; A M Demchuk; B K Menon; W Qiu
Journal:  AJNR Am J Neuroradiol       Date:  2018-11-29       Impact factor: 3.825

8.  Automated versus manual imaging assessment of early ischemic changes in acute stroke: comparison of two software packages and expert consensus.

Authors:  Friederike Austein; Fritz Wodarg; Nora Jürgensen; Monika Huhndorf; Johannes Meyne; Thomas Lindner; Olav Jansen; Naomi Larsen; Christian Riedel
Journal:  Eur Radiol       Date:  2019-05-10       Impact factor: 5.315

9.  Alberta Stroke Program Early CT Score Versus Computed Tomographic Perfusion to Predict Functional Outcome After Successful Reperfusion in Acute Ischemic Stroke.

Authors:  Jelle Demeestere; Lauranne Scheldeman; Sandra A Cornelissen; Sam Heye; Anke Wouters; Patrick Dupont; Sören Christensen; Michael Mlynash; Gregory W Albers; Maarten Lansberg; Robin Lemmens
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

10.  Imaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested Approach.

Authors:  M A Almekhlafi; W G Kunz; B K Menon; R A McTaggart; M V Jayaraman; B W Baxter; D Heck; D Frei; C P Derdeyn; T Takagi; A H Aamodt; I M R Fragata; M D Hill; A M Demchuk; M Goyal
Journal:  AJNR Am J Neuroradiol       Date:  2019-01-31       Impact factor: 3.825

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