AIMS: To develop a methodology that permits accurate 3-dimensional (3D) reconstruction from FD-OCT and angiographic data enabling reliable evaluation of the ESS distribution, and to compare the FD-OCT-derived models against the established models based on angiography/IVUS. METHODS AND RESULTS: Fifteen patients (17 coronary arteries) who underwent angiography, FD-OCT and IVUS examination during the same procedure were studied. The FD-OCT and IVUS lumen borders were placed onto the 3D luminal centreline derived from angiographic data. Three-dimensional geometry algorithms and anatomical landmarks were used to estimate the orientation of the borders appropriately. ESS was calculated using computational fluid dynamics. In 188 corresponding consecutive 3-mm segments, FD-OCT- and IVUS-derived models were highly correlated for lumen area (r=0.96) and local ESS (r=0.89) measurements. FD-OCT-based 3D reconstructions had a high diagnostic accuracy for detecting regions exposed to proatherogenic low ESS identified on the IVUS-based 3D models, considered as the gold standard (receiver operator characteristic area under the curve: 94.9%). CONCLUSIONS: FD-OCT-based 3D coronary reconstruction provides anatomically correct models and permits reliable ESS computation. ESS assessment in combination with the superior definition of plaque characteristics by FD-OCT is expected to provide valuable insights into the effect of the haemodynamic environment on the development and destabilisation of high-risk plaques.
AIMS: To develop a methodology that permits accurate 3-dimensional (3D) reconstruction from FD-OCT and angiographic data enabling reliable evaluation of the ESS distribution, and to compare the FD-OCT-derived models against the established models based on angiography/IVUS. METHODS AND RESULTS: Fifteen patients (17 coronary arteries) who underwent angiography, FD-OCT and IVUS examination during the same procedure were studied. The FD-OCT and IVUS lumen borders were placed onto the 3D luminal centreline derived from angiographic data. Three-dimensional geometry algorithms and anatomical landmarks were used to estimate the orientation of the borders appropriately. ESS was calculated using computational fluid dynamics. In 188 corresponding consecutive 3-mm segments, FD-OCT- and IVUS-derived models were highly correlated for lumen area (r=0.96) and local ESS (r=0.89) measurements. FD-OCT-based 3D reconstructions had a high diagnostic accuracy for detecting regions exposed to proatherogenic low ESS identified on the IVUS-based 3D models, considered as the gold standard (receiver operator characteristic area under the curve: 94.9%). CONCLUSIONS: FD-OCT-based 3D coronary reconstruction provides anatomically correct models and permits reliable ESS computation. ESS assessment in combination with the superior definition of plaque characteristics by FD-OCT is expected to provide valuable insights into the effect of the haemodynamic environment on the development and destabilisation of high-risk plaques.
Authors: Christos V Bourantas; Farouc A Jaffer; Frank J Gijsen; Gijs van Soest; Sean P Madden; Brian K Courtney; Ali M Fard; Erhan Tenekecioglu; Yaping Zeng; Antonius F W van der Steen; Stanislav Emelianov; James Muller; Peter H Stone; Laura Marcu; Guillermo J Tearney; Patrick W Serruys Journal: Eur Heart J Date: 2017-02-07 Impact factor: 29.983
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Authors: Andreas A Giannopoulos; Yiannis S Chatzizisis; Pal Maurovich-Horvat; Antonios P Antoniadis; Udo Hoffmann; Michael L Steigner; Frank J Rybicki; Dimitrios Mitsouras Journal: Atherosclerosis Date: 2016-06-23 Impact factor: 5.162
Authors: Lambros Athanasiou; Farhad Rikhtegar Nezami; Micheli Zanotti Galon; Augusto Celso Lopes; Pedro Alves Lemos; Jose M de la Torre Hernandez; Eyal Ben-Assa; Elazer R Edelman Journal: IEEE J Biomed Health Inform Date: 2018-07 Impact factor: 5.772
Authors: Vikas Thondapu; Daisuke Shishikura; Jouke Dijkstra; Shuang J Zhu; Eve Revalor; Patrick W Serruys; William J van Gaal; Eric K W Poon; Andrew Ooi; Peter Barlis Journal: Front Cardiovasc Med Date: 2022-04-14
Authors: Yiannis S Chatzizisis; Konstantinos Toutouzas; Andreas A Giannopoulos; Maria Riga; Antonios P Antoniadis; Yusuke Fujinom; Dimitrios Mitsouras; Vassilis G Koutkias; Grigorios Cheimariotis; Charalampos Doulaverakis; Ioannis Tsampoulatidis; Ioanna Chouvarda; Ioannis Kompatsiaris; Sunao Nakamura; Frank J Rybicki; Nicos Maglaveras; Dimitris Tousoulis; George D Giannoglou Journal: Eur Heart J Cardiovasc Imaging Date: 2017-05-01 Impact factor: 6.875