Literature DB >> 21570879

Reliability of semiautomatic centerline analysis versus manual aortic measurement techniques for TEVAR among non-experts.

F Rengier1, T F Weber, S Partovi, M Müller-Eschner, D Böckler, H-U Kauczor, H von Tengg-Kobligk.   

Abstract

OBJECTIVES: The study aimed to test whether reliability and inter-observer variability of preoperative measurements for thoracic endovascular aortic repair (TEVAR) among non-experts are improved by semiautomatic centerline analysis compared with manual assessment.
METHODS: Preoperative computed tomography (CT) angiographies of 30 patients with thoracic aortic disease (mean age 66.8 ± 11.6 years, 23 men) were retrospectively analysed in randomised order by one blinded vascular expert (reference standard) and three blinded non-expert readers. Aortic diameters were measured at four positions relevant to TEVAR using three measurement techniques (manual axial slices, manual multiplanar reformations (MPRs) and semiautomatic centerline analysis). Length measurements were performed using centerline analysis. Reliability was calculated as absolute measurement deviation (AMD) from reference standard and inter-observer variability as coefficient of variance (CV) among non-expert readers.
RESULTS: For axial, MPR and centerline techniques, mean AMD was 7.3 ± 7.7%, 6.7 ± 4.5% and 4.7 ± 4.8% and mean CV was 5.2 ± 4.2%, 5.8 ± 4.8% and 3.9 ± 5.4%. Both AMD and CV were significantly lower for centerline analysis compared with axial technique (p = 0.001/0.042) and MPR (p = 0.009/0.003). AMD and CV for length measurements by centerline analysis were 3.2 ± 2.8% and 2.6 ± 2.4%, respectively. Centerline analysis was significantly faster than MPR (p < 0.001).
CONCLUSIONS: Semiautomatic centerline analysis provides the most reliable and least variable diameter and length measurements among non-experts in candidates for TEVAR.
Copyright © 2011 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21570879     DOI: 10.1016/j.ejvs.2011.04.019

Source DB:  PubMed          Journal:  Eur J Vasc Endovasc Surg        ISSN: 1078-5884            Impact factor:   7.069


  9 in total

1.  3D morphometry using automated aortic segmentation in native MR angiography: an alternative to contrast enhanced MRA?

Authors:  Matthias Müller-Eschner; Tobias Müller; Andreas Biesdorf; Stefan Wörz; Fabian Rengier; Dittmar Böckler; Hans-Ulrich Kauczor; Karl Rohr; Hendrik von Tengg-Kobligk
Journal:  Cardiovasc Diagn Ther       Date:  2014-04

2.  [Acute aortic diseases. Diagnostic imaging and therapy].

Authors:  P Reimer; R Vosshenrich; M Storck
Journal:  Radiologe       Date:  2015-09       Impact factor: 0.635

3.  Proximal thoracic aortic diameters: transesophageal-echocardiography- versus computed-tomography-derived measurements.

Authors:  Prachi P Agarwal; Peter S Liu; Peter Hagan; Anna M Booher; Kuanwong Watcharotone; Leslie E Quint
Journal:  Clin Imaging       Date:  2015-10-27       Impact factor: 1.605

4.  Proximal thoracic aortic diameter measurements at CT: repeatability and reproducibility according to measurement method.

Authors:  Leslie E Quint; Peter S Liu; Anna M Booher; Kuanwong Watcharotone; James D Myles
Journal:  Int J Cardiovasc Imaging       Date:  2012-08-03       Impact factor: 2.357

5.  A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Authors:  Yitong Yu; Yang Gao; Jianyong Wei; Fangzhou Liao; Qianjiang Xiao; Jie Zhang; Weihua Yin; Bin Lu
Journal:  Korean J Radiol       Date:  2020-11-03       Impact factor: 3.500

6.  Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data.

Authors:  Peng Qiu; Yixuan Li; Kai Liu; Jinbao Qin; Kaichuang Ye; Tao Chen; Xinwu Lu
Journal:  BioData Min       Date:  2021-04-01       Impact factor: 2.522

7.  A stable and quantitative method for dimensionality reduction of aortic centerline.

Authors:  Tao Peng; Hongji Pu; Peng Qiu; Han Yang; Ziyue Ju; Hui Ma; Juanlin Zhang; Kexin Chen; Yanqing Zhan; Rui Sheng; Yi Wang; Binshan Zha; Yang Yang; Shu Fang; Xinwu Lu; Jinhua Zhou
Journal:  Front Cardiovasc Med       Date:  2022-08-31

Review 8.  Vascular CT and MRI: a practical guide to imaging protocols.

Authors:  D J Murphy; A Aghayev; M L Steigner
Journal:  Insights Imaging       Date:  2018-03-14

9.  Comparability of semiautomatic tortuosity measurements in the carotid artery.

Authors:  Evelien E de Vries; Vanessa E C Pourier; Constance J H C M van Laarhoven; Evert J Vonken; Joost A van Herwaarden; Gert J de Borst
Journal:  Neuroradiology       Date:  2018-10-18       Impact factor: 2.804

  9 in total

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