Literature DB >> 22748012

Carotid IMT variability (IMTV) and its validation in symptomatic versus asymptomatic Italian population: can this be a useful index for studying symptomaticity?

Luca Saba1, Kristen M Meiburger, Filippo Molinari, Giuseppe Ledda, Michele Anzidei, U Rajendra Acharya, Guang Zeng, Shoaib Shafique, Andrew Nicolaides, Jasjit S Suri.   

Abstract

The carotid intima-media thickness (IMT) is a validated marker of cerebrovascular disease risk. This paper presents a new parameter, the IMT variability (IMTV), and compares it between symptomatic and asymptomatic patients taken from a cohort of Italian population. One hundred forty-two patients were analyzed (age 59 ± 112 years, 59% males), 42 of these patients suffered from TIA or minor stroke. The lumen-intima (LI) and media-adventitia (MA) interfaces of the far wall were manually traced by a Reader. We also used a computer-based automated system (called AutoEdge) to obtain the LI/MA interfaces. The LI/MA interfaces were used to measure the IMT and the IMTV along the distal wall of the common carotid artery. Wilcoxon and Pearson correlation analyses were performed. The agreement between the Reader's IMT and the AutoEdge IMT values was 98.7% for the symptomatic (0.83 ± 0.44 mm for Reader, 0.82 ± 0.35 mm for AutoEdge) and 94.9% for the asymptomatic patients (0.78 ± 0.45 mm for Reader, 0.74 ± 0.30 mm for AutoEdge). Correlation was 65% for symptomatic and 68% for asymptomatic patients, respectively. The IMT measured using AutoEdge was 1.2% lower compared to manual measurements in symptomatic population, while 5.12% lower in asymptomatic. The IMTV was 11% higher in symptomatic patients compared to asymptomatic when using manual delineations, 8% higher when using AutoEdge. There was no statistical difference between the manual and automated IMTV measurements (Wilcoxon signed rank, P > 0.7). We conclude that the IMT and IMTV values were very similar between Reader and AutoEdge software when studying symptomatic and asymptomatic patients in Italian population.
© 2012, Wiley Periodicals, Inc.

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Year:  2012        PMID: 22748012     DOI: 10.1111/j.1540-8175.2012.01763.x

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  9 in total

1.  Ankle-brachial index and its link to automated carotid ultrasound measurement of intima-media thickness variability in 500 Japanese coronary artery disease patients.

Authors:  Nobutaka Ikeda; Tadashi Araki; Kaoru Sugi; Masatako Nakamura; Martino Deidda; Filippo Molinari; Kristen M Meiburger; U Rajendra Acharya; Luca Saba; Pier Paolo Bassareo; Michele Di Martino; Yoshinori Nagashima; Giuseppe Mercuro; Masataka Nakano; Andrew Nicolaides; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2014-03       Impact factor: 5.113

Review 2.  A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement.

Authors:  Anoop K Patel; Harman S Suri; Jaskaran Singh; Dinesh Kumar; Shoaib Shafique; Andrew Nicolaides; Sanjay K Jain; Luca Saba; Ajay Gupta; John R Laird; Argiris Giannopoulos; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2016-12       Impact factor: 5.113

3.  Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

Authors:  Ankush Jamthikar; Deep Gupta; Luca Saba; Narendra N Khanna; Tadashi Araki; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Vijay Viswanathan; Aditya Sharma; Andrew Nicolaides; George D Kitas; Jasjit S Suri
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

4.  Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on "Integrated Vascular Age" instead of "Chronological Age": a multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts.

Authors:  Ankush Jamthikar; Deep Gupta; Elisa Cuadrado-Godia; Anudeep Puvvula; Narendra N Khanna; Luca Saba; Klaudija Viskovic; Sophie Mavrogeni; Monika Turk; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; George D Kitas; Chithra Shankar; Andrew Nicolaides; Vijay Viswanathan; Aditya Sharma; Jasjit S Suri
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

5.  Relationship between leukoaraiosis, carotid intima-media thickness and intima-media thickness variability: Preliminary results.

Authors:  Pierleone Lucatelli; Eytan Raz; Luca Saba; Giovanni Maria Argiolas; Roberto Montisci; Max Wintermark; Kevin S King; Filippo Molinari; Nobutaka Ikeda; Paolo Siotto; Jasjit S Suri
Journal:  Eur Radiol       Date:  2016-03-30       Impact factor: 5.315

Review 6.  A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework.

Authors:  Aditya M Sharma; Ajay Gupta; P Krishna Kumar; Jeny Rajan; Luca Saba; Ikeda Nobutaka; John R Laird; Andrew Nicolades; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2015-09       Impact factor: 5.113

7.  Definition of common carotid wall thickness affects risk classification in relation to degree of internal carotid artery stenosis: the Plaque At RISK (PARISK) study.

Authors:  J Steinbuch; A C van Dijk; Fhbm Schreuder; Mtb Truijman; J Hendrikse; P J Nederkoorn; A van der Lugt; E Hermeling; Apg Hoeks; W H Mess
Journal:  Cardiovasc Ultrasound       Date:  2017-04-04       Impact factor: 2.062

8.  Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors.

Authors:  Ankush Jamthikar; Deep Gupta; Narendra N Khanna; Luca Saba; John R Laird; Jasjit S Suri
Journal:  Indian Heart J       Date:  2020-06-18

9.  Unseen Artificial Intelligence-Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study.

Authors:  Pankaj K Jain; Neeraj Sharma; Luca Saba; Kosmas I Paraskevas; Mandeep K Kalra; Amer Johri; John R Laird; Andrew N Nicolaides; Jasjit S Suri
Journal:  Diagnostics (Basel)       Date:  2021-12-02
  9 in total

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