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Performance of Automated ASPECTS Software and Value As a Computer-Aided Detection Tool

Overview
Specialty Neurology
Date 2023 Jul 27
PMID 37500286
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Abstract

Background And Purpose: ASPECTS quantifies early ischemic changes in anterior circulation stroke on NCCT but has interrater variability. We examined the agreement of conventional and automated ASPECTS and studied the value of computer-aided detection.

Materials And Methods: We retrospectively collected imaging data from consecutive patients with acute ischemic stroke with large-vessel occlusion undergoing thrombectomy. Five raters scored conventional ASPECTS on baseline NCCTs, which were also processed by RAPID software. Conventional and automated ASPECTS were compared with a consensus criterion standard. We determined the agreement over the full ASPECTS range as well as dichotomized, reflecting thrombectomy eligibility according to the guidelines (ASPECTS 0-5 versus 6-10). Raters subsequently scored ASPECTS on the same NCCTs with assistance of the automated ASPECTS outputs, and agreement was obtained.

Results: For the total of 175 cases, agreement among raters individually and the criterion standard varied from fair to good (weighted κ = between 0.38 and 0.76) and was moderate (weighted κ = 0.59) for the automated ASPECTS. The agreement of all raters individually versus the criterion standard improved with software assistance, as did the interrater agreement (overall Fleiss κ = 0.15-0.23; < .001 and .39 to .55; = .01 for the dichotomized ASPECTS).

Conclusions: Automated ASPECTS had agreement with the criterion standard similar to that of conventional ASPECTS. However, including automated ASPECTS during the evaluation of NCCT in acute stroke improved the agreement with the criterion standard and improved interrater agreement, which could, therefore, result in more uniform scoring in clinical practice.

References
1.
Sundaram V, Goldstein J, Wheelwright D, Aggarwal A, Pawha P, Doshi A . Automated ASPECTS in Acute Ischemic Stroke: A Comparative Analysis with CT Perfusion. AJNR Am J Neuroradiol. 2019; 40(12):2033-2038. PMC: 6975365. DOI: 10.3174/ajnr.A6303. View

2.
McHugh M . Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012; 22(3):276-82. PMC: 3900052. View

3.
Nagel S, Sinha D, Day D, Reith W, Chapot R, Papanagiotou P . e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients. Int J Stroke. 2016; 12(6):615-622. DOI: 10.1177/1747493016681020. View

4.
Wilson A, Dey S, Evans J, Najm M, Qiu W, Menon B . Minds treating brains: understanding the interpretation of non-contrast CT ASPECTS in acute ischemic stroke. Expert Rev Cardiovasc Ther. 2017; 16(2):143-153. DOI: 10.1080/14779072.2018.1421069. View

5.
Herweh C, Ringleb P, Rauch G, Gerry S, Behrens L, Mohlenbruch M . Performance of e-ASPECTS software in comparison to that of stroke physicians on assessing CT scans of acute ischemic stroke patients. Int J Stroke. 2016; 11(4):438-45. DOI: 10.1177/1747493016632244. View