Literature DB >> 35778509

Coronary flow disturbance assessed by vorticity as a cause of functionally significant stenosis.

Nobuo Tomizawa1, Yui Nozaki2, Shinichiro Fujimoto2, Daigo Takahashi2, Ayako Kudo2, Yuki Kamo2, Chihiro Aoshima2, Yuko Kawaguchi2, Kazuhisa Takamura2, Makoto Hiki2, Tomotaka Dohi2, Shinya Okazaki2, Kanako K Kumamaru3, Tohru Minamino2, Shigeki Aoki3.   

Abstract

OBJECTIVES: Vorticity calculated using computational fluid dynamics (CFD) could assess the flow disturbance generated by coronary stenosis. The purpose of this study was to investigate whether vorticity would be an underlying cause of functionally significant stenosis assessed by invasive fractional flow reserve (FFR).
METHODS: This retrospective study included 113 patients who underwent coronary CT angiography showing intermediate stenosis and subsequent invasive FFR between December 2015 and March 2020. Vorticity at the stenosis site was calculated using a mesh-free CFD method. We also evaluated the minimum lumen area (MLA) and diameter stenosis (DS) of the lesion. Invasive FFR of ≤ 0.80 was considered functionally significant. Data were compared using Student's t-test and logistic regression analysis was performed.
RESULTS: Of the evaluated 144 vessels, 53 vessels (37%) showed FFR ≤ 0.80. Vorticity of significant stenosis was significantly higher than non-significant stenosis (569 ± 78 vs. 328 ± 34 s-1, p < 0.001). A significant negative relationship was present between vorticity and invasive FFR (R2 = 0.31, p < 0.001). Multivariate logistic regression analysis including MLA and DS showed that vorticity (per 100 s-1, odds ratio: 1.36, 95% confidence interval: 1.21-1.57, p < 0.001) was a statistically significant factor to detect functional significance. The area under the receiver operating characteristic curve statistically significantly increased when vorticity was combined with DS and MLA (0.76 vs. 0.87, p = 0.001).
CONCLUSIONS: Vorticity had a statistically significant negative relationship with invasive FFR independent of geometric stenosis. KEY POINTS: • Flow disturbance caused by coronary stenosis could be evaluated by calculating vorticity which is defined as the norm of the rotation of the velocity vector. • Vorticity was statistically significantly higher in stenosis with functional significance than stenosis without. • Vorticity has an additive value to detect functionally significant stenosis over geometrical stenosis.
© 2022. The Author(s), under exclusive licence to European Society of Radiology.

Entities:  

Keywords:  CT angiography; Computational modeling; Coronary artery stenosis

Mesh:

Year:  2022        PMID: 35778509     DOI: 10.1007/s00330-022-08974-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


  19 in total

1.  Simplified Bernoulli formula to predict flow limiting stenosis at coronary computed tomography angiography.

Authors:  Nobuo Tomizawa; Kodai Yamamoto; Shinichi Inoh; Takeshi Nojo; Sunao Nakamura
Journal:  Clin Imaging       Date:  2018-02-06       Impact factor: 1.605

2.  Association Between Adherence to Fractional Flow Reserve Treatment Thresholds and Major Adverse Cardiac Events in Patients With Coronary Artery Disease.

Authors:  Maneesh Sud; Lu Han; Maria Koh; Peter C Austin; Michael E Farkouh; Hung Q Ly; Mina Madan; Madhu K Natarajan; Derek Y So; Harindra C Wijeysundera; Jiming Fang; Dennis T Ko
Journal:  JAMA       Date:  2020-12-15       Impact factor: 56.272

3.  Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis.

Authors:  Brian S Ko; James D Cameron; Ravi K Munnur; Dennis T L Wong; Yasuko Fujisawa; Takuya Sakaguchi; Kenji Hirohata; Jacqui Hislop-Jambrich; Shinichiro Fujimoto; Kazuhisa Takamura; Marcus Crossett; Michael Leung; Ahilan Kuganesan; Yuvaraj Malaiapan; Arthur Nasis; John Troupis; Ian T Meredith; Sujith K Seneviratne
Journal:  JACC Cardiovasc Imaging       Date:  2016-10-19

4.  Computational fluid dynamic measures of wall shear stress are related to coronary lesion characteristics.

Authors:  Jun-Bean Park; Gilwoo Choi; Eun Ju Chun; Hyun Jin Kim; Jonghanne Park; Ji-Hyun Jung; Min-Ho Lee; Hiromasa Otake; Joon-Hyung Doh; Chang-Wook Nam; Eun-Seok Shin; Bernard De Bruyne; Charles A Taylor; Bon-Kwon Koo
Journal:  Heart       Date:  2016-06-14       Impact factor: 5.994

5.  Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics.

Authors:  Joo Myung Lee; Gilwoo Choi; Bon-Kwon Koo; Doyeon Hwang; Jonghanne Park; Jinlong Zhang; Kyung-Jin Kim; Yaliang Tong; Hyun Jin Kim; Leo Grady; Joon-Hyung Doh; Chang-Wook Nam; Eun-Seok Shin; Young-Seok Cho; Su-Yeon Choi; Eun Ju Chun; Jin-Ho Choi; Bjarne L Nørgaard; Evald H Christiansen; Koen Niemen; Hiromasa Otake; Martin Penicka; Bernard de Bruyne; Takashi Kubo; Takashi Akasaka; Jagat Narula; Pamela S Douglas; Charles A Taylor; Hyo-Soo Kim
Journal:  JACC Cardiovasc Imaging       Date:  2018-03-14

6.  A patient-specific virtual stenotic model of the coronary artery to analyze the relationship between fractional flow reserve and wall shear stress.

Authors:  Kyung Eun Lee; Gook Tae Kim; Jeong Sang Lee; Ju-Hyun Chung; Eun-Seok Shin; Eun Bo Shim
Journal:  Int J Cardiol       Date:  2016-08-03       Impact factor: 4.164

7.  Prospective Comparison of FFR Derived From Coronary CT Angiography With SPECT Perfusion Imaging in Stable Coronary Artery Disease: The ReASSESS Study.

Authors:  Niels Peter Rønnow Sand; Karsten Tange Veien; Søren Steen Nielsen; Bjarne Linde Nørgaard; Pia Larsen; Allan Johansen; Søren Hess; Lone Deibjerg; Majed Husain; Anders Junker; Kristian Korsgaard Thomsen; Allan Rohold; Lisette Okkels Jensen
Journal:  JACC Cardiovasc Imaging       Date:  2018-06-13

Review 8.  Risk stratification of coronary plaques using physiologic characteristics by CCTA: Focus on shear stress.

Authors:  Habib Samady; David S Molony; Ahmet U Coskun; Anubodh S Varshney; Bernard De Bruyne; Peter H Stone
Journal:  J Cardiovasc Comput Tomogr       Date:  2019-12-04

9.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Authors:  Bjarne L Nørgaard; Jonathon Leipsic; Sara Gaur; Sujith Seneviratne; Brian S Ko; Hiroshi Ito; Jesper M Jensen; Laura Mauri; Bernard De Bruyne; Hiram Bezerra; Kazuhiro Osawa; Mohamed Marwan; Christoph Naber; Andrejs Erglis; Seung-Jung Park; Evald H Christiansen; Anne Kaltoft; Jens F Lassen; Hans Erik Bøtker; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2014-01-30       Impact factor: 24.094

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