Title: Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms
Authors : Juchler, Norman
Schilling, Sabine
Philippe, Bijlenga
Rüfenacht, Daniel
Kurtcuoglu, Vartan
Hirsch, Sven
Conference details: 8th World Congress of Biomechanics, WCB2018, Dublin, Ireland, 8-12 July 2018
Issue Date: 12-Jul-2018
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Abstract)
Language : English
Subjects : Intracranial aneurysms; Quantitative morphology; Irregularity ratings
Subject (DDC) : 616: Internal medicine and diseases
Abstract: Introduction: Current methods of medical imaging provide key information for the clinical assessment of intracranial aneurysms. To date, broadly accepted quantitative criteria to compare aneurysm morphology are yet lacking. In this study, we relate established shape descriptors to expert assessments of aneurysm irregularity in view of establishing clinically meaningful descriptors. Method: To address morphology in an isolated manner, from 3D angiographies, we produced replicas of aneurysms and adjacent segments of the parent vascular tree, extracted computed geometry indices and measures based on curvature, surface writhe number and geometry moments. Independently, experts evaluated the morphology of these aneurysms in a 3D viewer by inspecting their shapes and rating the degree of irregularity on a 9-point rating scale. Besides these 3D views, no further information was given to the raters. We then examined the univariate and multivariate correlations between the aggregated ratings and the quantitative descriptions of the 3D models. Results: Preliminary results are based on 134 aneurysm models and 15 raters, who all assessed the perceived irregularity of the aneurysm shape. Univariate analysis shows that curvature metrics reproduce the rater assessment of shape irregularity the best (Spearman correlation ρ=0.86, p<0.001). Furthermore, a writhe-based index (entropy of the writhe number distribution, ρ=0.75, p<0.001) and shape indices (non-sphericity, ρ=0.71, p<0.001) predict the ratings on average well. Consistent with observational data, our rater assessment of irregularity degree increased with increasing aneurysm size (ρ=0.78, p<0.001). Discussion: We identified and validated quantitative measures mirroring well the qualitative raters’ assessments of morphological irregularity characteristics. In the future, such quantitative measures could be used in rating schemes for aneurysm assessment. Furthermore, these metrics could be employed in the context of a databank, allowing for retrieving and grouping cases of similar morphological properties.
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Applied Simulation (IAS)
Publication type: Conference Other
URI: https://digitalcollection.zhaw.ch/handle/11475/12086
Appears in Collections:Publikationen Life Sciences und Facility Management

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