Literature DB >> 30107557

Quantitative vs. qualitative evaluation of static stress computed tomography perfusion to detect haemodynamically significant coronary artery disease.

Gianluca Pontone1, Daniele Andreini1,2, Andrea I Guaricci3, Marco Guglielmo1, Andrea Baggiano1, Giuseppe Muscogiuri1, Laura Fusini1, Margherita Soldi1, Fabio Fazzari4, Claudio Berzovini5, Annalisa Pasquini6, Paolo Ciancarella7, Saima Mushtaq1, Edoardo Conte1, Giuseppe Calligaris1, Stefano De Martini1, Cristina Ferrari1, Stefano Galli1, Luca Grancini1, Paolo Ravagnani1, Giovanni Teruzzi1, Daniela Trabattoni1, Franco Fabbiocchi1, Alessandro Lualdi1, Piero Montorsi1,2, Mark G Rabbat8,9, Antonio L Bartorelli1,10, Mauro Pepi1.   

Abstract

Aims: To compare the diagnostic accuracy of stress computed tomography myocardial perfusion (CTP) for the detection of significant coronary artery disease with visual approach vs. quantitative analysis with transmural perfusion ratio (TPR) in consecutive symptomatic patients scheduled for invasive coronary angiography (ICA) plus invasive fractional flow reserve (FFR). Methods and results: Eighty-eight consecutive symptomatic patients underwent rest coronary computed tomography angiography (cCTA) followed by static stress-CTP. Diagnostic accuracy of cCTA + stress-CTP with visual evaluation and with TPR measurement was calculated and compared with ICA and invasive FFR. Addition of stress-CTP with qualitative evaluation to rest-cCTA showed sensitivity, specificity, negative and positive predictive values, and accuracy at a vessel and patient level of 92%, 92%, 97%, 82%, 92% and 98%, 80%, 97%, 82%, 89%, respectively indicating a significant improvement of specificity, positive predictive value, and accuracy values vs. rest-cCTA in both models. Similarly, addition of stress-CTP with TPR evaluation to rest-cCTA showed sensitivity, specificity, negative and positive predictive values, and accuracy at a vessel and patient level of 84%, 90%, 93%, 76%, 88% and 91%, 71%, 89%, 75%, 81%, respectively indicating a significant improvement of specificity, positive predictive value values vs. rest-cCTA only in a vessel-based model and of positive predictive value in a patient-based model. When cCTA + stress-CTP with qualitative evaluation was compared with cCTA + stress-CTP with TPR estimation, no differences were found in terms of diagnostic performance.
Conclusion: The addition of stress-CTP with visual evaluation to cCTA imaging has similar diagnostic performance when compared with the quantitative analysis of myocardial perfusion based on TPR measurement.

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Year:  2018        PMID: 30107557     DOI: 10.1093/ehjci/jey111

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  8 in total

Review 1.  [Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].

Authors:  Moon Young Kim; Dong Hyun Yang; Ki Seok Choo; Whal Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-01-21

Review 2.  The Applications of Artificial Intelligence in Cardiovascular Magnetic Resonance-A Comprehensive Review.

Authors:  Adriana Argentiero; Giuseppe Muscogiuri; Mark G Rabbat; Chiara Martini; Nicolò Soldato; Paolo Basile; Andrea Baggiano; Saima Mushtaq; Laura Fusini; Maria Elisabetta Mancini; Nicola Gaibazzi; Vincenzo Ezio Santobuono; Sandro Sironi; Gianluca Pontone; Andrea Igoren Guaricci
Journal:  J Clin Med       Date:  2022-05-19       Impact factor: 4.964

3.  Myocardial perfusion assessment in the infarct core and penumbra zones in an in-vivo porcine model of the acute, sub-acute, and chronic infarction.

Authors:  Meng-Xi Yang; Hua-Yan Xu; Lu Zhang; Lin Chen; Rong Xu; Hang Fu; Hui Liu; Xue-Sheng Li; Chuan Fu; Ke-Ling Liu; Hong Li; Xiao-Yue Zhou; Ying-Kun Guo; Zhi-Gang Yang
Journal:  Eur Radiol       Date:  2020-11-06       Impact factor: 5.315

Review 4.  Computed tomographic evaluation of myocardial ischemia.

Authors:  Yuki Tanabe; Akira Kurata; Takuya Matsuda; Kazuki Yoshida; Dhiraj Baruah; Teruhito Kido; Teruhito Mochizuki; Prabhakar Rajiah
Journal:  Jpn J Radiol       Date:  2020-02-05       Impact factor: 2.374

5.  Diagnostic value of quantitative parameters for myocardial perfusion assessment in patients with suspected coronary artery disease by single- and dual-energy computed tomography myocardial perfusion imaging.

Authors:  Aroa Ruiz-Muñoz; Filipa Valente; Lydia Dux-Santoy; Andrea Guala; Gisela Teixidó-Turà; Laura Galián-Gay; Laura Gutiérrez; Rubén Fernández-Galera; Guillem Casas; Teresa González-Alujas; Ignacio Ferreira-González; Arturo Evangelista; José Rodríguez-Palomares
Journal:  Int J Cardiol Heart Vasc       Date:  2021-02-04

6.  A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta.

Authors:  Takanori Kouchi; Yuki Tanabe; Takumasa Takemoto; Kazuki Yoshida; Yuta Yamamoto; Shigehiro Miyazaki; Naoki Fukuyama; Hikaru Nishiyama; Shinji Inaba; Naoto Kawaguchi; Tomoyuki Kido; Osamu Yamaguchi; Teruhito Kido
Journal:  J Clin Med       Date:  2022-03-25       Impact factor: 4.241

Review 7.  Application of AI in cardiovascular multimodality imaging.

Authors:  Giuseppe Muscogiuri; Valentina Volpato; Riccardo Cau; Mattia Chiesa; Luca Saba; Marco Guglielmo; Alberto Senatieri; Gregorio Chierchia; Gianluca Pontone; Serena Dell'Aversana; U Joseph Schoepf; Mason G Andrews; Paolo Basile; Andrea Igoren Guaricci; Paolo Marra; Denisa Muraru; Luigi P Badano; Sandro Sironi
Journal:  Heliyon       Date:  2022-10-05

Review 8.  Multimodality Imaging of Sudden Cardiac Death and Acute Complications in Acute Coronary Syndrome.

Authors:  Giuseppe Muscogiuri; Andrea Igoren Guaricci; Nicola Soldato; Riccardo Cau; Luca Saba; Paola Siena; Maria Grazia Tarsitano; Elisa Giannetta; Davide Sala; Paolo Sganzerla; Marco Gatti; Riccardo Faletti; Alberto Senatieri; Gregorio Chierchia; Gianluca Pontone; Paolo Marra; Mark G Rabbat; Sandro Sironi
Journal:  J Clin Med       Date:  2022-09-26       Impact factor: 4.964

  8 in total

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