Effect of image reconstruction algorithms on volumetric and radiomic parameters of coronary plaques-Reference-Cited by-同舟云学术

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Effect of image reconstruction algorithms on volumetric and radiomic parameters of coronary plaques

Published:2019-11 Issue:6 Volume:13 Page:325-330
ISSN:1934-5925
Container-title:Journal of Cardiovascular Computed Tomography
language:en
Short-container-title:Journal of Cardiovascular Computed Tomography

Author:

Kolossváry Márton,Szilveszter Bálint,Karády Júlia^ORCID,Drobni Zsófia Dóra,Merkely Béla,Maurovich-Horvat Pál^ORCID

Funder

National Research, Development and Innovation Office of Hungary

Ministry of Human Capacities in Hungary

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference32 articles.

1. Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography: results from the ROMICAT II trial;Liu;Int J Cardiovasc Imag,2018

2. Automated quantitative plaque burden from coronary CT angiography noninvasively predicts hemodynamic significance by using fractional flow reserve in intermediate coronary lesions;Diaz-Zamudio;Radiology,2015

3. Additive value of semiautomated quantification of coronary artery disease using cardiac computed tomographic angiography to predict future acute coronary syndrome;Versteylen;J Am Coll Cardiol,2013

4. Radiomics: the bridge between medical imaging and personalized medicine;Lambin;Nat Rev Clin Oncol,2017

5. Radiomics: images are more than pictures, they are data;Gillies;Radiology,2016

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2. Enhancing cardiovascular risk stratification: Radiomics of coronary plaque and perivascular adipose tissue – Current insights and future perspectives;Trends in Cardiovascular Medicine;2024-07

3. Predicting major adverse cardiovascular events within 3 years by optimization of radiomics model derived from pericoronary adipose tissue on coronary computed tomography angiography: a case-control study;BMC Medical Imaging;2024-05-21

4. Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels;Journal of Imaging Informatics in Medicine;2024-01-29

5. Identification of noncalcified coronary plaque characteristics using machine learning radiomic analysis of non-contrast high-resolution computed tomography;Kardiologia Polska;2023-10-31

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