Accurate and reproducible reconstruction of coronary arteries and endothelial shear stress calculation using 3D OCT: comparative study to 3D IVUS and 3D QCA.
BACKGROUND
Geometrically-correct 3D OCT is a new imaging modality with the potential to investigate the association of local hemodynamic microenvironment with OCT-derived high-risk features. We aimed to describe the methodology of 3D OCT and investigate the accuracy, inter- and intra-observer agreement of 3D OCT in reconstructing coronary arteries and calculating ESS, using 3D IVUS and 3D QCA as references.


RESULTS
35 coronary artery segments derived from 30 patients were reconstructed in 3D space using 3D OCT. 3D OCT was validated against 3D IVUS and 3D QCA. The agreement in artery reconstruction among 3D OCT, 3D IVUS and 3D QCA was assessed in 3-mm-long subsegments using lumen morphometry and ESS parameters. The inter- and intra-observer agreement of 3D OCT, 3D IVUS and 3D QCA were assessed in a representative sample of 61 subsegments (n = 5 arteries). The data processing times for each reconstruction methodology were also calculated. There was a very high agreement between 3D OCT vs. 3D IVUS and 3D OCT vs. 3D QCA in terms of total reconstructed artery length and volume, as well as in terms of segmental morphometric and ESS metrics with mean differences close to zero and narrow limits of agreement (Bland-Altman analysis). 3D OCT exhibited excellent inter- and intra-observer agreement. The analysis time with 3D OCT was significantly lower compared to 3D IVUS.


CONCLUSIONS
Geometrically-correct 3D OCT is a feasible, accurate and reproducible 3D reconstruction technique that can perform reliable ESS calculations in coronary arteries.
First Department of Cardiology, Hippokration Hospital, Athens University Medical School, Athens, Greece.
Konstantinos
K
Toutouzas
Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece. Electronic address: ychatzizisis@icloud.com.
Yiannis S
YS
Chatzizisis
First Department of Cardiology, Hippokration Hospital, Athens University Medical School, Athens, Greece.
Maria
M
Riga
First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
Andreas
A
Giannopoulos
Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
Antonios P
AP
Antoniadis
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shengxian
S
Tu
Department of Cardiology, New Tokyo Hospital, Chiba, Japan.
Yusuke
Y
Fujino
Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Dimitrios
D
Mitsouras
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Charalampos
C
Doulaverakis
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Ioannis
I
Tsampoulatidis
Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Vassilis G
VG
Koutkias
Second Department of Cardiology, General Hospital of Nikaia, Piraeus, Greece.
Konstantina
K
Bouki
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Yingguang
Y
Li
Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Ioanna
I
Chouvarda
Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Grigorios
G
Cheimariotis
Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Nicos
N
Maglaveras
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Ioannis
I
Kompatsiaris
Department of Cardiology, New Tokyo Hospital, Chiba, Japan.
Sunao
S
Nakamura
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Johan H C
JH
Reiber
Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Frank
F
Rybicki
First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
Haralambos
H
Karvounis
First Department of Cardiology, Hippokration Hospital, Athens University Medical School, Athens, Greece.
Christodoulos
C
Stefanadis
First Department of Cardiology, Hippokration Hospital, Athens University Medical School, Athens, Greece.
Dimitris
D
Tousoulis
First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
George D
GD
Giannoglou
D000465:Algorithms; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D003326:Coronary Circulation; D003331:Coronary Vessels / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D004730:Endothelium, Vascular / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D005240:Feasibility Studies; D006115:Greece; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007564:Japan; D015588:Observer Variation; D011237:Predictive Value of Tests; D011857:Radiographic Image Interpretation, Computer-Assisted; D015203:Reproducibility of Results; D013314:Stress, Mechanical; D041623:Tomography, Optical Coherence / Q000379:methods*; D018084:Ultrasonography, Interventional / Q000379:methods*
Intravascular Ultrasound; Method comparison study; Optical Coherence Tomography; Quantitative Coronary Angiography; Shear Stress