Validation of semiautomated and locally resolved aortic wall thickness measurements from computed tomography Eric K. Shang, MD, Eric Lai, BS, Alison M. Pouch, PhD, Robin Hinmon, MS, Robert C. Gorman, MD, Joseph H. Gorman, MD, Chandra M. Sehgal, PhD, Giovanni Ferrari, PhD, Joseph E. Bavaria, MD, Benjamin M. Jackson, MD Journal of Vascular Surgery Volume 61, Issue 4, Pages 1034-1040 (April 2015) DOI: 10.1016/j.jvs.2013.11.065 Copyright © 2015 Society for Vascular Surgery Terms and Conditions
Fig 1 A, An ex vivo aortic specimen, stained with hematoxylin and eosin, shows the wall thickness measurement (arrow). B, Result of axial image segmentation shows outer adventitial (red), inner arterial (blue), and luminal (green) boundaries. Journal of Vascular Surgery 2015 61, 1034-1040DOI: (10.1016/j.jvs.2013.11.065) Copyright © 2015 Society for Vascular Surgery Terms and Conditions
Fig 2 Wall thickness map generated from the segmentation of a proximal descending thoracic aneurysm. Journal of Vascular Surgery 2015 61, 1034-1040DOI: (10.1016/j.jvs.2013.11.065) Copyright © 2015 Society for Vascular Surgery Terms and Conditions
Fig 3 A, Plot shows interobserver reliability of wall thickness measurements derived from excised aortic specimens. B, Plot shows correlation between pathologic specimen wall thickness measurements and image segmentation measurements. Journal of Vascular Surgery 2015 61, 1034-1040DOI: (10.1016/j.jvs.2013.11.065) Copyright © 2015 Society for Vascular Surgery Terms and Conditions
Fig 4 Bland-Altman plot shows the difference between wall thickness measurements derived from image analysis and wall thickness measured in pathologic specimens. Journal of Vascular Surgery 2015 61, 1034-1040DOI: (10.1016/j.jvs.2013.11.065) Copyright © 2015 Society for Vascular Surgery Terms and Conditions