Literature DB >> 31395662

Carotid Plaque CTA Analysis in Symptomatic Subjects with Bilateral Intraparenchymal Hemorrhage: A Preliminary Analysis.

L Saba1, G Lanzino2, P Lucatelli3, F Lavra4, R Sanfilippo4, R Montisci4, J S Suri5,6, C Yuan7,8.   

Abstract

BACKGROUND AND
PURPOSE: The presence of IPH is considered the most dangerous feature because it is significantly associated with clinical ipsilateral cerebrovascular events. Our aim was to explore the characterization of plaque with CT in symptomatic subjects with bilateral intraplaque hemorrhage.
MATERIALS AND METHODS: Three-hundred-forty-three consecutive patients with recent anterior circulation ischemic events (<2 weeks) and CT of the carotid arteries (performed within 14 days of the cerebrovascular event) evaluated between June 2012 and September 2017 were analyzed for plaque volume composition to identify all subjects with bilateral intraplaque hemorrhage. Plaque volume was semiautomatically measured, and tissue components were classified according to the attenuation values such as the following: calcified (for values of ≥130 HU), mixed (for values of ≥60 and <130 HU), lipid (for values of ≥25 and <60 HU), and intraplaque hemorrhage (for values of <25 HU). Twenty-one subjects (15 men; mean age, 70 ± 11 years; range, 44-87 years) had bilateral intraplaque hemorrhage and were included in the analysis.
RESULTS: Volume measurement revealed significantly larger plaques on the symptomatic side compared with the asymptomatic one (mean, 28 ± 9 versus 22 ± 8 mm, P = .007). Intraplaque hemorrhage volume and percentage were also significantly higher in the plaque ipsilateral to the cerebrovascular event (P < .001 and < .001, respectively). The volume of other plaque components did not show a statically significant association except for lipid and lipid + intraplaque hemorrhage percentages (23% versus 18% and 11% versus 15%), which were significantly different between the symptomatic and the asymptomatic sides (.016 and .011, respectively). The intraplaque hemorrhage/lipid ratio was higher on the symptomatic side (0.596 versus 0.171, P = .001).
CONCLUSIONS: In patients with bilateral intraplaque hemorrhage and recent ischemic symptoms, the plaque ipsilateral to the symptomatic side has significantly larger volume and a higher percentage of intraplaque hemorrhage compared with the contralateral, asymptomatic side.
© 2019 by American Journal of Neuroradiology.

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Year:  2019        PMID: 31395662      PMCID: PMC7048447          DOI: 10.3174/ajnr.A6160

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


  31 in total

1.  Effect of a lipid pool on stress/strain distributions in stenotic arteries: 3-D fluid-structure interactions (FSI) models.

Authors:  Dalin Tang; Chun Yang; Shunichi Kobayashi; David N Ku
Journal:  J Biomech Eng       Date:  2004-06       Impact factor: 2.097

2.  Effects of varied lipid core volume and fibrous cap thickness on stress distribution in carotid arterial plaques.

Authors:  Hao Gao; Quan Long
Journal:  J Biomech       Date:  2008-09-10       Impact factor: 2.712

Review 3.  Imaging of high-risk carotid artery plaques: current status and future directions.

Authors:  J Kevin DeMarco; John Huston
Journal:  Neurosurg Focus       Date:  2014-01       Impact factor: 4.047

4.  Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology.

Authors:  L Saba; C Yuan; T S Hatsukami; N Balu; Y Qiao; J K DeMarco; T Saam; A R Moody; D Li; C C Matouk; M H Johnson; H R Jäger; M Mossa-Basha; M E Kooi; Z Fan; D Saloner; M Wintermark; D J Mikulis; B A Wasserman
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-11       Impact factor: 3.825

5.  MRI in the early identification and classification of high-risk atherosclerotic carotid plaques.

Authors:  Thomas S Hatsukami; Chun Yuan
Journal:  Imaging Med       Date:  2010-02-01

6.  Mannheim carotid intima-media thickness and plaque consensus (2004-2006-2011). An update on behalf of the advisory board of the 3rd, 4th and 5th watching the risk symposia, at the 13th, 15th and 20th European Stroke Conferences, Mannheim, Germany, 2004, Brussels, Belgium, 2006, and Hamburg, Germany, 2011.

Authors:  P-J Touboul; M G Hennerici; S Meairs; H Adams; P Amarenco; N Bornstein; L Csiba; M Desvarieux; S Ebrahim; R Hernandez Hernandez; M Jaff; S Kownator; T Naqvi; P Prati; T Rundek; M Sitzer; U Schminke; J-C Tardif; A Taylor; E Vicaut; K S Woo
Journal:  Cerebrovasc Dis       Date:  2012-11-01       Impact factor: 2.762

Review 7.  MRI of carotid atherosclerosis: clinical implications and future directions.

Authors:  Hunter R Underhill; Thomas S Hatsukami; Zahi A Fayad; Valentin Fuster; Chun Yuan
Journal:  Nat Rev Cardiol       Date:  2010-01-26       Impact factor: 32.419

8.  Semiautomated Characterization of Carotid Artery Plaque Features From Computed Tomography Angiography to Predict Atherosclerotic Cardiovascular Disease Risk Score.

Authors:  Guangming Zhu; Ying Li; Victoria Ding; Bin Jiang; Robyn L Ball; Fatima Rodriguez; Dominik Fleischmann; Manisha Desai; David Saloner; Ajay Gupta; Luca Saba; Jason Hom; Max Wintermark
Journal:  J Comput Assist Tomogr       Date:  2019 May/Jun       Impact factor: 1.826

9.  Cap inflammation leads to higher plaque cap strain and lower cap stress: An MRI-PET/CT-based FSI modeling approach.

Authors:  Dalin Tang; Chun Yang; Sarayu Huang; Venkatesh Mani; Jie Zheng; Pamela K Woodard; Philip Robson; Zhongzhao Teng; Marc Dweck; Zahi A Fayad
Journal:  J Biomech       Date:  2016-11-11       Impact factor: 2.712

Review 10.  Correlation of Carotid Intraplaque Hemorrhage and Stroke Using 1.5 T and 3 T MRI.

Authors:  Gerald S Treiman; J Scott McNally; Seong-Eun Kim; Dennis L Parker
Journal:  Magn Reson Insights       Date:  2015-05-28
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  9 in total

Review 1.  Cervical Carotid Plaque MRI : Review of Atherosclerosis Imaging Features and their Histologic Underpinnings.

Authors:  John C Benson; Heidi Cheek; Marie C Aubry; Giuseppe Lanzino; John Huston Iii; Alejandro Rabinstein; Waleed Brinjikji
Journal:  Clin Neuroradiol       Date:  2021-01-04       Impact factor: 3.649

2.  Impact Analysis of Different CT Configurations of Carotid Artery Plaque Calcifications on Cerebrovascular Events.

Authors:  L Saba; H Chen; R Cau; G D Rubeis; G Zhu; F Pisu; B Jang; G Lanzino; J S Suri; Y Qi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2022-02       Impact factor: 3.825

3.  Intraplaque CTA characteristics as predictors of symptomatology: a semiautomated volumetric analysis.

Authors:  John C Benson; Luis Savastano; Valentina Nardi; Giuseppe Lanzino; Amir Lerman; Waleed Brinjikji
Journal:  Emerg Radiol       Date:  2021-10-06

4.  Correlation between computed tomography angiography and histology of carotid artery atherosclerosis: Can semi-automated imaging software predict a plaque's composition?

Authors:  John C Benson; Valentina Nardi; Melanie C Bois; Luca Saba; Waleed Brinjikji; Luis Savastano; Giuseppe Lanzino; Amir Lerman
Journal:  Interv Neuroradiol       Date:  2021-08-16       Impact factor: 1.764

5.  State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements-a consensus document by the European Society of Cardiovascular Radiology (ESCR).

Authors:  L Saba; C Loewe; T Weikert; M C Williams; N Galea; R P J Budde; R Vliegenthart; B K Velthuis; M Francone; J Bremerich; L Natale; K Nikolaou; J N Dacher; C Peebles; F Caobelli; A Redheuil; M Dewey; K F Kreitner; R Salgado
Journal:  Eur Radiol       Date:  2022-10-04       Impact factor: 7.034

Review 6.  Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease.

Authors:  Guangming Zhu; Jason Hom; Ying Li; Bin Jiang; Fatima Rodriguez; Dominik Fleischmann; David Saloner; Michele Porcu; Yanrong Zhang; Luca Saba; Max Wintermark
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

7.  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

Review 8.  X-ray Dark-Field Imaging (XDFI)-a Promising Tool for 3D Virtual Histopathology.

Authors:  Daisuke Shimao; Naoki Sunaguchi; Tetsuya Yuasa; Masami Ando; Kensaku Mori; Rajiv Gupta; Shu Ichihara
Journal:  Mol Imaging Biol       Date:  2021-02-23       Impact factor: 3.488

Review 9.  Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report.

Authors:  Narendra N Khanna; Mahesh Maindarkar; Anudeep Puvvula; Sudip Paul; Mrinalini Bhagawati; Puneet Ahluwalia; Zoltan Ruzsa; Aditya Sharma; Smiksha Munjral; Raghu Kolluri; Padukone R Krishnan; Inder M Singh; John R Laird; Mostafa Fatemi; Azra Alizad; Surinder K Dhanjil; Luca Saba; Antonella Balestrieri; Gavino Faa; Kosmas I Paraskevas; Durga Prasanna Misra; Vikas Agarwal; Aman Sharma; Jagjit Teji; Mustafa Al-Maini; Andrew Nicolaides; Vijay Rathore; Subbaram Naidu; Kiera Liblik; Amer M Johri; Monika Turk; David W Sobel; Gyan Pareek; Martin Miner; Klaudija Viskovic; George Tsoulfas; Athanasios D Protogerou; Sophie Mavrogeni; George D Kitas; Mostafa M Fouda; Manudeep K Kalra; Jasjit S Suri
Journal:  J Cardiovasc Dev Dis       Date:  2022-08-15
  9 in total

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