Literature DB >> 19299487

Window settings for the study of calcified carotid plaques with multidetector CT angiography.

L Saba1, G Mallarin.   

Abstract

SUMMARY: CT angiography (CTA) shows high sensitivity in detecting calcified plaques, but sometimes a bias in the exact quantification of stenosis degree occurs, mainly caused by the high linear attenuation coefficient of the calcified plaques. The purpose of this technical study was to evaluate the most appropriate CT window parameters for the assessment of calcified plaques stating which of them can provide the best inter-observer agreement. Scatter-plots and regression results showed the correlation between both width and level respectively depending on intraluminal Hounsfield units (HU) value (width = intraluminal HU x 2.07; level = intraluminal HU x 0.72). Obtained data indicated that the presence of different stenosis degrees did not modify visualization parameters.

Mesh:

Year:  2009        PMID: 19299487     DOI: 10.3174/ajnr.A1509

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  19 in total

1.  Carotid artery wall thickness measured using CT: inter- and intraobserver agreement analysis.

Authors:  L Saba; R Sanfilippo; R Montisci; J S Suri; G Mallarini
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-11       Impact factor: 3.825

2.  Carotid Intraplaque-Hemorrhage Volume and Its Association with Cerebrovascular Events.

Authors:  L Saba; G Micheletti; W Brinjikji; P Garofalo; R Montisci; A Balestrieri; J S Suri; J K DeMarco; G Lanzino; R Sanfilippo
Journal:  AJNR Am J Neuroradiol       Date:  2019-09-26       Impact factor: 3.825

3.  Assessment of an advanced virtual monoenergetic reconstruction technique in cerebral and cervical angiography with third-generation dual-source CT: Feasibility of using low-concentration contrast medium.

Authors:  Lu Zhao; Fengtan Li; Zewei Zhang; Zhang Zhang; Yingjian Jiang; Xinyu Wang; Jun Gu; Dong Li
Journal:  Eur Radiol       Date:  2018-04-13       Impact factor: 5.315

4.  Evaluation of computer-assisted quantification of carotid artery stenosis.

Authors:  Christina Biermann; Ilias Tsiflikas; Christoph Thomas; Bernadette Kasperek; Martin Heuschmid; Claus D Claussen
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

5.  Carotid stenosis assessment with multi-detector CT angiography: comparison between manual and automatic segmentation methods.

Authors:  Chengcheng Zhu; Andrew J Patterson; Owen M Thomas; Umar Sadat; Martin J Graves; Jonathan H Gillard
Journal:  Int J Cardiovasc Imaging       Date:  2012-11-08       Impact factor: 2.357

6.  Association between carotid artery plaque type and cerebral microbleeds.

Authors:  L Saba; R Montisci; E Raz; R Sanfilippo; J S Suri; M Piga
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-24       Impact factor: 3.825

7.  Carotid artery wall thickness and leukoaraiosis: preliminary results using multidetector row CT angiography.

Authors:  L Saba; L Pascalis; R Sanfilippo; M Anzidei; R Bura; R Montisci; G Mallarini
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

8.  Perivascular Fat Density and Contrast Plaque Enhancement: Does a Correlation Exist?

Authors:  L Saba; S Zucca; A Gupta; G Micheletti; J S Suri; A Balestrieri; M Porcu; P Crivelli; G Lanzino; Y Qi; V Nardi; G Faa; R Montisci
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

9.  Carotid artery plaque characterization using CT multienergy imaging.

Authors:  L Saba; G M Argiolas; P Siotto; M Piga
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-04       Impact factor: 3.825

10.  Metal artefact reduction from dental hardware in carotid CT angiography using iterative reconstructions.

Authors:  Fabian Morsbach; Moritz Wurnig; Daniel M Kunz; Andreas Krauss; Bernhard Schmidt; Spyros S Kollias; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2013-05-19       Impact factor: 5.315

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