Literature DB >> 34079695

Machine learning-based advances in coronary computed tomography angiography.

Mina M Benjamin1, Mark G Rabbat1.   

Abstract

Year:  2021        PMID： 34079695      PMCID： PMC8107321          DOI： 10.21037/qims-21-99

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN： 2223-4306


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  28 in total

1.  Quantification and characterization of obstructive coronary plaques using 64-slice computed tomography: a comparison with intravascular ultrasound.

Authors:  Jin Hur; Young Jin Kim; Hye-Jeong Lee; Ji Eun Nam; Kyu Ok Choe; Jae Seung Seo; Dong-Hoon Choi; Jung-Sun Kim; Byoung Wook Choi
Journal:  J Comput Assist Tomogr       Date:  2009 Mar-Apr       Impact factor: 1.826

2.  Feasibility and limitation of coronary plaque volumetry by contrast-enhanced 64-row multi-detector computed tomography.

Authors:  Osamu Akutagawa; Yoshiyuki Kijima; Kiyoshi Kume; Taku Sakai; Akira Okura; Koichi Ide; Satoru Iwasaki; Takeshi Hata
Journal:  Int J Cardiol       Date:  2011-05-24       Impact factor: 4.164

Review 3.  Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice.

Authors:  Mark G Rabbat; Daniel S Berman; Morton Kern; Gilbert Raff; Kavitha Chinnaiyan; Lynne Koweek; Leslee J Shaw; Philipp Blanke; Markus Scherer; Jesper M Jensen; John Lesser; Bjarne L Nørgaard; Gianluca Pontone; Bernard De Bruyne; Jeroen J Bax; Jonathon Leipsic
Journal:  J Cardiovasc Comput Tomogr       Date:  2017-06-23

4.  Lumen boundaries extracted from coronary computed tomography angiography on computed fractional flow reserve (FFRCT): validation with optical coherence tomography.

Authors:  Kenzo Uzu; Hiromasa Otake; Gilwoo Choi; Takayoshi Toba; Hyun Jin Kim; Arjun Roy; Michiel Schaap; Leo Grady; Masahito Kawata; Toshiro Shinke; Charles Anthony Taylor; Ken-Ichi Hirata
Journal:  EuroIntervention       Date:  2019-02-08       Impact factor: 6.534

5.  Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.

Authors:  Giuseppe Muscogiuri; Mattia Chiesa; Michela Trotta; Marco Gatti; Vitanio Palmisano; Serena Dell'Aversana; Francesca Baessato; Annachiara Cavaliere; Gloria Cicala; Antonella Loffreno; Giulia Rizzon; Marco Guglielmo; Andrea Baggiano; Laura Fusini; Luca Saba; Daniele Andreini; Mauro Pepi; Mark G Rabbat; Andrea I Guaricci; Carlo N De Cecco; Gualtiero Colombo; Gianluca Pontone
Journal:  Atherosclerosis       Date:  2019-12-23       Impact factor: 5.162

6.  Low diagnostic yield of elective coronary angiography.

Authors:  Manesh R Patel; Eric D Peterson; David Dai; J Matthew Brennan; Rita F Redberg; H Vernon Anderson; Ralph G Brindis; Pamela S Douglas
Journal:  N Engl J Med       Date:  2010-03-11       Impact factor: 91.245

Review 7.  Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis.

Authors:  Charles A Taylor; Timothy A Fonte; James K Min
Journal:  J Am Coll Cardiol       Date:  2013-04-03       Impact factor: 24.094

8.  Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography Safely Defers Invasive Coronary Angiography in Patients with Stable Coronary Artery Disease.

Authors:  Mark Rabbat; Jonathon Leipsic; Jeroen Bax; Brian Kauh; Rina Verma; Demetrios Doukas; Sorcha Allen; Gianluca Pontone; David Wilber; Verghese Mathew; Campbell Rogers; John Lopez
Journal:  J Clin Med       Date:  2020-02-24       Impact factor: 4.241

Review 9.  Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

Authors:  Giuseppe Muscogiuri; Marly Van Assen; Christian Tesche; Carlo N De Cecco; Mattia Chiesa; Stefano Scafuri; Marco Guglielmo; Andrea Baggiano; Laura Fusini; Andrea I Guaricci; Mark G Rabbat; Gianluca Pontone
Journal:  Biomed Res Int       Date:  2020-12-16       Impact factor: 3.411

10.  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
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  1 in total

1.  A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study.

Authors:  Dona Adikari; Ramtin Gharleghi; Shisheng Zhang; Louisa Jorm; Arcot Sowmya; Daniel Moses; Sze-Yuan Ooi; Susann Beier
Journal:  BMJ Open       Date:  2022-06-20       Impact factor: 3.006
  1 in total

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