title: Anatomically correct three-dimensional coronary artery reconstruction using frequency domain optical coherence tomographic and angiographic data: head-to-head comparison with intravascular ultrasound for endothelial shear stress assessment in humans.
abstract: OBJECTIVE
  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.
  
  
  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: Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors: Michail I
authors: MI
authors: Papafaklis
authors: Christos V
authors: CV
authors: Bourantas
authors: Taishi
authors: T
authors: Yonetsu
authors: Rocco
authors: R
authors: Vergallo
authors: Anna
authors: A
authors: Kotsia
authors: Shimpei
authors: S
authors: Nakatani
authors: Lampros S
authors: LS
authors: Lakkas
authors: Lambros S
authors: LS
authors: Athanasiou
authors: Katerina K
authors: KK
authors: Naka
authors: Dimitrios I
authors: DI
authors: Fotiadis
authors: Charles L
authors: CL
authors: Feldman
authors: Peter H
authors: PH
authors: Stone
authors: Patrick W
authors: PW
authors: Serruys
authors: Ik-Kyung
authors: IK
authors: Jang
authors: Lampros K
authors: LK
authors: Michalis
mesh_terms: D000368:Aged; D000465:Algorithms; D059925:Anatomic Landmarks; D019540:Area Under Curve; D017023:Coronary Angiography; 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; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D058226:Plaque, Atherosclerotic; D011237:Predictive Value of Tests; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted; D012042:Registries; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D013314:Stress, Mechanical; D041623:Tomography, Optical Coherence; D018084:Ultrasonography, Interventional