Literature DB >> 16844159

3D ultrasound analysis of carotid plaque volume and surface morphology.

A Fenster1, C Blake, Igor Gyacskov, A Landry, J D Spence.   

Abstract

Morphological characterization of carotid plaques has been used for risk stratification and evaluation of response to therapy, evaluation of new risk factors, genetic research, and for quantifying effects of new anti-atherosclerotic therapies. We developed a 3D US system that allows detailed studies of carotid plaques in 3D. Our software includes 3D reconstruction, viewing, manual and semi-automated segmentation of carotid plaques, and surface morphology analysis to be used for quantitative tracking of plaque changes. We evaluated our plaque quantification software by examining plaque volume measurement accuracy, variability, and plaque surface morphology. We used vascular test phantoms to study segmentation accuracy, and used 48 3D US carotid plaques of patients ranging in size from 13.2 mm(3) to 544.0 mm(3) to study plaque volume measurement variability. We compared results from the semi-automated plaque measurements to the results obtained from manual measurements, which were used as the "gold" standard. We developed a surface plaque morphology quantification technique based on the segmented plaque surface curvature and used it to analyze plaques. Accuracy of plaque volume measurements for the simulated plaques ranged from 4.2% to 1.5% for volumes ranging from 68.5 mm(3) to 286 mm(3). The variability study showed that coefficients of variation in the measurement of plaque volume decreased with increasing plaque size for both inter- (90.8-3.9%) and intra-observer (70.2-3.1%) measurements over the plaque sizes measured. Surface morphology analysis showed that 1 mm ulceration could be quantified and monitored for changes over time. The automated plaque quantification approach showed a little higher intra-observer variability than the manual technique, and its performance was better for segmenting the wall than the lumen. Our results indicate that our approach is sensitive tool and can be used in studies of plaque progression and regression as it relates to atherosclerosis treatment effects and can be used effectively in longitudinal studies for direct measurement carotid plaque volume.

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Year:  2006        PMID: 16844159     DOI: 10.1016/j.ultras.2006.06.027

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  10 in total

Review 1.  Current status of carotid ultrasound in atherosclerosis.

Authors:  Stella Sin Yee Ho
Journal:  Quant Imaging Med Surg       Date:  2016-06

Review 2.  Secondary Stroke Prevention: Improving Diagnosis and Management with Newer Technologies.

Authors:  Yahia Z Imam; Atlantic D'Souza; Rayaz A Malik; Ashfaq Shuaib
Journal:  Transl Stroke Res       Date:  2016-09-02       Impact factor: 6.829

3.  Automated tracing of the adventitial contour of aortoiliac and peripheral arterial walls in CT angiography (CTA) to allow calculation of non-calcified plaque burden.

Authors:  Bhargav Raman; Raghav Raman; Geoffrey D Rubin; Sandy Napel
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

4.  Object-Specific Four-Path Network for Stroke Risk Stratification of Carotid Arteries in Ultrasound Images.

Authors:  Wei Ma; Yujiao Xia; Xiaoyan Wu; Zheng Yue; Xinyao Cheng; Aaron Fenster; Mingyue Ding
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

5.  Direct Diagnosis is Superior to Risk Factor Prediction Tools for Management of Vessel Wall Disease.

Authors:  Afshin A Divani; Andreas R Luft; James D Flaherty; Gundu H R Rao
Journal:  Front Neurol       Date:  2012-03-13       Impact factor: 4.003

Review 6.  Imaging in Vascular Access.

Authors:  Eoin A Murphy; Rose A Ross; Robert G Jones; Stephen J Gandy; Nicolas Aristokleous; Marco Salsano; Jonathan R Weir-McCall; Shona Matthew; John Graeme Houston
Journal:  Cardiovasc Eng Technol       Date:  2017-07-13       Impact factor: 2.495

7.  Three-dimensional ultrasonographic evaluation of carotid artery plaque surface irregularity.

Authors:  Hakan Artas; Izzet Okcesiz
Journal:  Arch Med Sci       Date:  2019-01-11       Impact factor: 3.318

8.  Differences in atherosclerosis according to area level socioeconomic deprivation: cross sectional, population based study.

Authors:  Kevin A Deans; Vladimir Bezlyak; Ian Ford; G David Batty; Harry Burns; Jonathan Cavanagh; Eric de Groot; Agnes McGinty; Keith Millar; Paul G Shiels; Carol Tannahill; Yoga N Velupillai; Naveed Sattar; Chris J Packard
Journal:  BMJ       Date:  2009-10-27

9.  Reproducibility of 3-dimensional ultrasound readings of volume of carotid atherosclerotic plaque.

Authors:  Malte Ludwig; Tomasz Zielinski; Dieter Schremmer; Klaus O Stumpe
Journal:  Cardiovasc Ultrasound       Date:  2008-08-26       Impact factor: 2.062

10.  Quantitative assessment of carotid plaque surface irregularities and correlation to cerebrovascular symptoms.

Authors:  Baris Kanber; Timothy C Hartshorne; Mark A Horsfield; A Ross Naylor; Thompson G Robinson; Kumar V Ramnarine
Journal:  Cardiovasc Ultrasound       Date:  2013-11-06       Impact factor: 2.062

  10 in total

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