Literature DB >> 24425062

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

Nobutaka Ikeda1, 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.   

Abstract

The purpose of this study was to evaluate whether the carotid intima-media thickness (cIMT) and intima-media thickness variability (IMTV) along the artery are correlated to the ankle-brachial index (ABI) in Japanese coronary artery disease patients. Five hundred consecutive patients (312 males; median age 69 ± 11 years) who underwent carotid ultrasonography and first coronary angiography were prospectively analyzed. By using automated software (AtheroEdge™, AtheroPoint, Roseville, CA, USA), we obtained the cIMT and IMTV. Pearson correlation analysis was performed to calculate the association between ABI, automatically measured cIMT, automatically measured IMTV, and the SYNTAX score. The mean cIMT was 0.881 ± 0.334 mm and the mean IMTV was 0.141 ± 0.112. IMTV was negatively and significantly correlated to ABI (ρ = -0.147; p = 0.001), whereas cIMT was not (ρ = -0.075; p = 0.097). IMTV and cIMT had the same significant correlation with the SYNTAX score. When we considered patients with a higher risk factor (ABI ≤ 0.9), we found higher values of IMTV and the SYNTAX score, but not higher values of cIMT. Logistic regression analysis showed that IMTV was independently associated with the complexity of the coronary artery disease (as assessed by the SYNTAX score). In conclusion, we show that IMTV automatically measured using AtheroEdge™ was correlated with ABI, whereas cIMT was not. IMTV could be integrated with cIMT measurement to improve the assessment of cardiovascular disease.

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Year:  2014        PMID: 24425062     DOI: 10.1007/s11883-013-0393-x

Source DB:  PubMed          Journal:  Curr Atheroscler Rep        ISSN: 1523-3804            Impact factor:   5.113


  30 in total

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Authors:  Filippo Molinari; Constantinos S Pattichis; Guang Zeng; Luca Saba; U Rajendra Acharya; Roberto Sanfilippo; Andrew Nicolaides; Jasjit S Suri
Journal:  IEEE Trans Image Process       Date:  2011-09-23       Impact factor: 10.856

Review 2.  A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound.

Authors:  Filippo Molinari; Guang Zeng; Jasjit S Suri
Journal:  Comput Methods Programs Biomed       Date:  2010-05-15       Impact factor: 5.428

3.  Carotid artery intima media thickness, plaque and Framingham cardiovascular score in Asia, Africa/Middle East and Latin America: the PARC-AALA study.

Authors:  Pierre-Jean Touboul; Rafael Hernández-Hernández; Serdar Küçükoğlu; Kam-Sang Woo; Eric Vicaut; Julien Labreuche; Chris Migom; Honorio Silva; Raul Vinueza
Journal:  Int J Cardiovasc Imaging       Date:  2006-12-21       Impact factor: 2.357

Review 4.  Clinical value of carotid intima-media thickness testing.

Authors:  Patrick J Devine; Daniel W Carlson; Allen J Taylor
Journal:  J Nucl Cardiol       Date:  2006-09       Impact factor: 5.952

5.  Primary prevention of atherosclerotic cardiovascular disease: the high public burden of low individual risk.

Authors:  Michael S Lauer
Journal:  JAMA       Date:  2007-03-25       Impact factor: 56.272

6.  Associations of carotid artery intima-media thickness (IMT) with risk factors and prevalent cardiovascular disease: comparison of mean common carotid artery IMT with maximum internal carotid artery IMT.

Authors:  Joseph F Polak; Michael J Pencina; Allison Meisner; Karol M Pencina; Lisa S Brown; Philip A Wolf; Ralph B D'Agostino
Journal:  J Ultrasound Med       Date:  2010-12       Impact factor: 2.153

7.  Wall irregularity rather than intima-media thickness is associated with nearby atherosclerosis.

Authors:  Iulia M Graf; Floris H B M Schreuder; Jeroen M Hameleers; Werner H Mess; Robert S Reneman; Arnold P G Hoeks
Journal:  Ultrasound Med Biol       Date:  2009-02-28       Impact factor: 2.998

Review 8.  Using the ankle-brachial index to diagnose peripheral artery disease and assess cardiovascular risk.

Authors:  Esther S H Kim; Keattiyoat Wattanakit; Heather L Gornik
Journal:  Cleve Clin J Med       Date:  2012-09       Impact factor: 2.321

9.  Impact of carotid artery ultrasound and ankle-brachial index on prediction of severity of SYNTAX score.

Authors:  Nobutaka Ikeda; Norihiro Kogame; Raisuke Iijima; Masato Nakamura; Kaoru Sugi
Journal:  Circ J       Date:  2012-11-10       Impact factor: 2.993

10.  Carotid intima-media thickening indicates a higher vascular risk across a wide age range: prospective data from the Carotid Atherosclerosis Progression Study (CAPS).

Authors:  Matthias W Lorenz; Stefan von Kegler; Helmuth Steinmetz; Hugh S Markus; Matthias Sitzer
Journal:  Stroke       Date:  2005-12-08       Impact factor: 7.914

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  5 in total

1.  Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

Authors:  Ankush D Jamthikar; Deep Gupta; Laura E Mantella; Luca Saba; John R Laird; Amer M Johri; Jasjit S Suri
Journal:  Int J Cardiovasc Imaging       Date:  2020-11-12       Impact factor: 2.357

2.  Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization.

Authors:  Amer M Johri; Laura E Mantella; Ankush D Jamthikar; Luca Saba; John R Laird; Jasjit S Suri
Journal:  Int J Cardiovasc Imaging       Date:  2021-05-29       Impact factor: 2.357

3.  Ultrasound-based carotid stenosis measurement and risk stratification in diabetic cohort: a deep learning paradigm.

Authors:  Luca Saba; Mainak Biswas; Harman S Suri; Klaudija Viskovic; John R Laird; Elisa Cuadrado-Godia; Andrew Nicolaides; N N Khanna; Vijay Viswanathan; Jasjit S Suri
Journal:  Cardiovasc Diagn Ther       Date:  2019-10

4.  Intima-media thickness and ankle-brachial index are correlated with the extent of coronary artery disease measured by the SYNTAX score.

Authors:  Krzysztof L Bryniarski; Tomasz Tokarek; Tomasz Bryk; Joanna Rutka; Iwona Gawlik; Anna Żabówka; Grzegorz Dębski; Beata Bobrowska; Krzysztof Żmudka; Artur Dziewierz; Zbigniew Siudak; Dariusz Dudek
Journal:  Postepy Kardiol Interwencyjnej       Date:  2018-03-22       Impact factor: 1.426

Review 5.  A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.

Authors:  Jasjit S Suri; Mrinalini Bhagawati; Sudip Paul; Athanasios D Protogerou; Petros P Sfikakis; George D Kitas; Narendra N Khanna; Zoltan Ruzsa; Aditya M Sharma; Sanjay Saxena; Gavino Faa; John R Laird; Amer M Johri; Manudeep K Kalra; Kosmas I Paraskevas; Luca Saba
Journal:  Diagnostics (Basel)       Date:  2022-03-16
  5 in total

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