Literature DB >> 29233837

Radiomics to Identify High-Risk Atherosclerotic Plaque From Computed Tomography: The Power of Quantification.

Damini Dey1, Frederic Commandeur2.   

Abstract

Entities:  

Keywords:  Editorials; acute coronary syndrome; angiography; biomarkers; mining; software

Mesh：

Year:  2017        PMID： 29233837      PMCID： PMC5731252          DOI： 10.1161/CIRCIMAGING.117.007254

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN： 1941-9651            Impact factor:   7.792


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  9 in total

1.  Incremental prognostic value of quantitative plaque assessment in coronary CT angiography during 5 years of follow up.

Authors:  Jonathan Nadjiri; Jörg Hausleiter; Christin Jähnichen; Albrecht Will; Eva Hendrich; Stefan Martinoff; Martin Hadamitzky
Journal:  J Cardiovasc Comput Tomogr       Date:  2016-01-13

2.  Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up.

Authors:  Sadako Motoyama; Hajime Ito; Masayoshi Sarai; Takeshi Kondo; Hideki Kawai; Yasuomi Nagahara; Hiroto Harigaya; Shino Kan; Hirofumi Anno; Hiroshi Takahashi; Hiroyuki Naruse; Junichi Ishii; Harvey Hecht; Leslee J Shaw; Yukio Ozaki; Jagat Narula
Journal:  J Am Coll Cardiol       Date:  2015-07-28       Impact factor: 24.094

3.  Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.

Authors:  Kenichiro Otsuka; Shota Fukuda; Atsushi Tanaka; Koki Nakanishi; Haruyuki Taguchi; Junichi Yoshikawa; Kenei Shimada; Minoru Yoshiyama
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

4.  Automated Quantitative Plaque Burden from Coronary CT Angiography Noninvasively Predicts Hemodynamic Significance by using Fractional Flow Reserve in Intermediate Coronary Lesions.

Authors:  Mariana Diaz-Zamudio; Damini Dey; Annika Schuhbaeck; Ryo Nakazato; Heidi Gransar; Piotr J Slomka; Jagat Narula; Daniel S Berman; Stephan Achenbach; James K Min; Joon-Hyung Doh; Bon-Kwon Koo
Journal:  Radiology       Date:  2015-04-17       Impact factor: 11.105

5.  Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up.

Authors:  Michaela M Hell; Manish Motwani; Yuka Otaki; Sebastien Cadet; Heidi Gransar; Romalisa Miranda-Peats; Jacob Valk; Piotr J Slomka; Victor Y Cheng; Alan Rozanski; Balaji K Tamarappoo; Sean Hayes; Stephan Achenbach; Daniel S Berman; Damini Dey
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-12-01       Impact factor: 6.875

6.  Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome.

Authors:  Sadako Motoyama; Masayoshi Sarai; Hiroto Harigaya; Hirofumi Anno; Kaori Inoue; Tomonori Hara; Hiroyuki Naruse; Junichi Ishii; Hitoshi Hishida; Nathan D Wong; Renu Virmani; Takeshi Kondo; Yukio Ozaki; Jagat Narula
Journal:  J Am Coll Cardiol       Date:  2009-06-30       Impact factor: 24.094

7.  Machine Learning methods for Quantitative Radiomic Biomarkers.

Authors:  Chintan Parmar; Patrick Grossmann; Johan Bussink; Philippe Lambin; Hugo J W L Aerts
Journal:  Sci Rep       Date:  2015-08-17       Impact factor: 4.379

8.  Radiomic Features Are Superior to Conventional Quantitative Computed Tomographic Metrics to Identify Coronary Plaques With Napkin-Ring Sign.

Authors:  Márton Kolossváry; Júlia Karády; Bálint Szilveszter; Pieter Kitslaar; Udo Hoffmann; Béla Merkely; Pál Maurovich-Horvat
Journal:  Circ Cardiovasc Imaging       Date:  2017-12       Impact factor: 7.792

9.  Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions.

Authors:  Sara Gaur; Kristian Altern Øvrehus; Damini Dey; Jonathon Leipsic; Hans Erik Bøtker; Jesper Møller Jensen; Jagat Narula; Amir Ahmadi; Stephan Achenbach; Brian S Ko; Evald Høj Christiansen; Anne Kjer Kaltoft; Daniel S Berman; Hiram Bezerra; Jens Flensted Lassen; Bjarne Linde Nørgaard
Journal:  Eur Heart J       Date:  2016-01-12       Impact factor: 29.983
  9 in total
  5 in total

1.  Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting: A Preliminary Study.

Authors:  Davide Colombi; Flavio Cesare Bodini; Beatrice Rossi; Margherita Bossalini; Camilla Risoli; Nicola Morelli; Marcello Petrini; Nicola Sverzellati; Emanuele Michieletti
Journal:  Diagnostics (Basel)       Date:  2021-11-27

2.  A Radiomics Approach to Assess High Risk Carotid Plaques: A Non-invasive Imaging Biomarker, Retrospective Study.

Authors:  Sihan Chen; Changsheng Liu; Xixiang Chen; Weiyin Vivian Liu; Ling Ma; Yunfei Zha
Journal:  Front Neurol       Date:  2022-03-08       Impact factor: 4.003

3.  Differentiating solitary brain metastases from glioblastoma by radiomics features derived from MRI and 18F-FDG-PET and the combined application of multiple models.

Authors:  Xu Cao; Duo Tan; Zhi Liu; Meng Liao; Yubo Kan; Rui Yao; Liqiang Zhang; Lisha Nie; Ruikun Liao; Shanxiong Chen; Mingguo Xie
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

Review 4.  Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors:  Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal:  Eur Radiol Exp       Date:  2018-10-24

Review 5.  Perivascular fat imaging by computed tomography (CT): a virtual guide.

Authors:  Christos P Kotanidis; Charalambos Antoniades
Journal:  Br J Pharmacol       Date:  2021-09-23       Impact factor: 8.739
  5 in total

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