Ashrita Raghuram1, Alberto Varon1, Sebastian Sanchez1, Daizo Ishii2, Chaorong Wu3, Vincent A Magnotta4, David M Hasan5, Timothy R Koscik6, Edgar A Samaniego1,2,4. 1. Department of Neurology, University of Iowa Carver College of Medicine, Iowa City, IA. 2. Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA. 3. Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA. 4. Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA. 5. Department of Neurosurgery, Duke University, Durham, NC. 6. Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA.
Abstract
Background: Aneurysm wall enhancement has been identified as a potential biomarker for aneurysm instability. Enhancement has been determined by different approaches on 2D multiplanar views. This study describes a new method to quantify enhancement through 3D heatmaps and histograms. Methods: A custom algorithm was developed using orthogonal probes extending from the aneurysm lumen into the wall to create 3D heatmaps and histograms of wall enhancement on 7T-MRI. Three quantitative metrics for general, specific, and focal wall enhancement were generated from the histograms. Results: Thirty-two aneurysms were analyzed and classified based on 3D heatmaps and histograms. Larger aneurysms were more enhancing (Spearman's r=0.472, p=0.006), and had more heterogeneous enhancement (Spearman's r=0.557, p<0.001) than smaller aneurysms. Patterns of enhancement differed between saccular, fusiform, and thrombosed aneurysms. Fusiform aneurysms were larger (p=0.015) and had more heterogenous enhancement compared to saccular aneurysms. Fusiform aneurysms had more areas of focal enhancement (p<0.001) and right skewed histograms (p=0.003). Conclusions: The 3D analysis of aneurysm wall enhancement provides topographic data of the entire aneurysm wall. New metrics developed based on this method showed that large and fusiform aneurysms have heterogenous enhancement.
Background: Aneurysm wall enhancement has been identified as a potential biomarker for aneurysm instability. Enhancement has been determined by different approaches on 2D multiplanar views. This study describes a new method to quantify enhancement through 3D heatmaps and histograms. Methods: A custom algorithm was developed using orthogonal probes extending from the aneurysm lumen into the wall to create 3D heatmaps and histograms of wall enhancement on 7T-MRI. Three quantitative metrics for general, specific, and focal wall enhancement were generated from the histograms. Results: Thirty-two aneurysms were analyzed and classified based on 3D heatmaps and histograms. Larger aneurysms were more enhancing (Spearman's r=0.472, p=0.006), and had more heterogeneous enhancement (Spearman's r=0.557, p<0.001) than smaller aneurysms. Patterns of enhancement differed between saccular, fusiform, and thrombosed aneurysms. Fusiform aneurysms were larger (p=0.015) and had more heterogenous enhancement compared to saccular aneurysms. Fusiform aneurysms had more areas of focal enhancement (p<0.001) and right skewed histograms (p=0.003). Conclusions: The 3D analysis of aneurysm wall enhancement provides topographic data of the entire aneurysm wall. New metrics developed based on this method showed that large and fusiform aneurysms have heterogenous enhancement.
Authors: J R Cebral; F Detmer; B J Chung; J Choque-Velasquez; B Rezai; H Lehto; R Tulamo; J Hernesniemi; M Niemela; A Yu; R Williamson; K Aziz; S Shakur; S Amin-Hanjani; F Charbel; Y Tobe; A Robertson; J Frösen Journal: AJNR Am J Neuroradiol Date: 2019-02-07 Impact factor: 3.825
Authors: Seyedeh Fatemeh Salimi Ashkezari; Fernando Mut; Bong Jae Chung; Alexander K Yu; Christopher J Stapleton; Alfred P See; Sepideh Amin-Hanjani; Fady T Charbel; Behnam Rezai Jahromi; Mika Niemelä; Juhana Frösen; Spandan Maiti; Anne M Robertson; Juan R Cebral Journal: J Neurointerv Surg Date: 2020-10-05 Impact factor: 5.836
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Authors: Ashrita Raghuram; Alberto Varon; Jorge A Roa; Daizo Ishii; Yongjun Lu; Madhavan L Raghavan; Chaorong Wu; Vincent A Magnotta; David M Hasan; Timothy R Koscik; Edgar A Samaniego Journal: Sci Rep Date: 2021-09-15 Impact factor: 4.379