Literature DB >> 29028985

Impact of coronary lumen reconstruction on the estimation of endothelial shear stress: in vivo comparison of three-dimensional quantitative coronary angiography and three-dimensional fusion combining optical coherent tomography.

Jihoon Kweon1, Soo-Jin Kang1, Young-Hak Kim1, June-Goo Lee2, Seungbong Han3, Hojin Ha2, Dong Hyun Yang2, Joon-Won Kang2, Tae-Hwan Lim2, Osung Kwon1, Jung-Min Ahn1, Pil Hyung Lee1, Duk-Woo Park1, Seung-Whan Lee1, Cheol Whan Lee1, Seong-Wook Park1, Seung-Jung Park1.   

Abstract

Aims: It is not clearly elucidated how the fusion technique improves the accuracy of endothelial shear stress (ESS) prediction, in comparison with that of three-dimensional (3D) quantitative coronary angiography (QCA) alone. We aimed to evaluate the difference in geometric measurements and haemodynamic estimation between 3D QCA and a 3D fusion model combining 3D QCA and optical coherence tomography (OCT). Methods and results: Computational fluid dynamics was assessed in the coronary models of 20 patients. In the plane-per-plane comparison, the difference and agreement were assessed using a generalized linear mixed model and concordance correlation coefficient (CCC), respectively. The haemodynamic feature around minimum-lumen-diameter (MLD) was characterized using CCC values calculated for 1-mm segments. In comparison with the 3D fusion model, 3D QCA showed a shorter maximum lumen diameter (2.54 ± 0.67 mm vs. 2.78 ± 0.73 mm, P < 0.001) and smaller lumen area (4.81 ± 2.56 mm2 vs. 5.66 ± 2.97 mm2, P < 0.001), resulting in a significantly higher ESS (4.64 Pa vs. 3.78 Pa, p = 0.029). A more asymmetric lumen shape of the 3D fusion model was more likely associated with under- and over-estimation of the maximum and minimum lumen diameters in the 3D QCA model, respectively. The circumferential ESS variations, which were blunted by 3D QCA, showed the worst concordance near the MLD site (CCC = 0.370) on segment-based comparison.
Conclusion: The 3D fusion technique may be a more relevant tool for the haemodynamic simulation of coronary arteries through providing more accurate lumen characterization than 3D QCA.

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Year:  2018        PMID: 29028985     DOI: 10.1093/ehjci/jex222

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


  4 in total

1.  Computational Fractional Flow Reserve From Coronary Computed Tomography Angiography-Optical Coherence Tomography Fusion Images in Assessing Functionally Significant Coronary Stenosis.

Authors:  Yong-Joon Lee; Young Woo Kim; Jinyong Ha; Minug Kim; Giulio Guagliumi; Juan F Granada; Seul-Gee Lee; Jung-Jae Lee; Yun-Kyeong Cho; Hyuck Jun Yoon; Jung Hee Lee; Ung Kim; Ji-Yong Jang; Seung-Jin Oh; Seung-Jun Lee; Sung-Jin Hong; Chul-Min Ahn; Byeong-Keuk Kim; Hyuk-Jae Chang; Young-Guk Ko; Donghoon Choi; Myeong-Ki Hong; Yangsoo Jang; Joon Sang Lee; Jung-Sun Kim
Journal:  Front Cardiovasc Med       Date:  2022-06-13

2.  Deep learning segmentation of major vessels in X-ray coronary angiography.

Authors:  Su Yang; Jihoon Kweon; Jae-Hyung Roh; Jae-Hwan Lee; Heejun Kang; Lae-Jeong Park; Dong Jun Kim; Hyeonkyeong Yang; Jaehee Hur; Do-Yoon Kang; Pil Hyung Lee; Jung-Min Ahn; Soo-Jin Kang; Duk-Woo Park; Seung-Whan Lee; Young-Hak Kim; Cheol Whan Lee; Seong-Wook Park; Seung-Jung Park
Journal:  Sci Rep       Date:  2019-11-15       Impact factor: 4.379

Review 3.  Investigation of Wall Shear Stress in Cardiovascular Research and in Clinical Practice-From Bench to Bedside.

Authors:  Katharina Urschel; Miyuki Tauchi; Stephan Achenbach; Barbara Dietel
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

4.  3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility.

Authors:  Wei Wu; Saurabhi Samant; Gijs de Zwart; Shijia Zhao; Behram Khan; Mansoor Ahmad; Marco Bologna; Yusuke Watanabe; Yoshinobu Murasato; Francesco Burzotta; Emmanouil S Brilakis; George Dangas; Yves Louvard; Goran Stankovic; Ghassan S Kassab; Francesco Migliavacca; Claudio Chiastra; Yiannis S Chatzizisis
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

  4 in total

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