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@article{1489163,
author = {Chen, Zhi and Pazdernik, Michal and Zhang, Honghai and Wahle, Andreas and Guo, Zhihui and Bedáňová, Helena and Kautzner, Josef and Melenovsky, Vojtech and Kovarnik, Tomas and Sonka, Milan},
article_location = {AMSTERDAM},
article_number = {DEC 2018},
doi = {http://dx.doi.org/10.1016/j.media.2018.09.003},
keywords = {Cardiac allograft vasculopathy (CAV); optical coherence tomography (OCT); LOGISMOS; CAV progression; CAV prediction},
language = {eng},
issn = {1361-8415},
journal = {Medical Image Analysis},
title = {Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression},
volume = {50},
year = {2018}
}
TY - JOUR
ID - 1489163
AU - Chen, Zhi - Pazdernik, Michal - Zhang, Honghai - Wahle, Andreas - Guo, Zhihui - Bedáňová, Helena - Kautzner, Josef - Melenovsky, Vojtech - Kovarnik, Tomas - Sonka, Milan
PY - 2018
TI - Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression
JF - Medical Image Analysis
VL - 50
IS - DEC 2018
SP - 95-105
EP - 95-105
PB - ELSEVIER SCIENCE BV
SN - 13618415
KW - Cardiac allograft vasculopathy (CAV)
KW - optical coherence tomography (OCT)
KW - LOGISMOS
KW - CAV progression
KW - CAV prediction
N2 - Cardiac allograft vasculopathy (CAV) accounts for about 30% of all heart-transplant (HTx) patient deaths. For patients at high risk for CAV complications after HTx, therapy must be initiated early to be effective. Therefore, new phenotyping approaches are needed to identify such HTx patients at the earliest possible time. Coronary optical coherence tomography (OCT) images were acquired from 50 HTx patients 1 and 12 months after HTx. Quantitative analysis of coronary wall morphology used LOGISMOS segmentation strategy to simultaneously identify three wall-layer surfaces for the entire pullback length in 3D: luminal, outer intimal, and outer medial surfaces. To quantify changes of coronary wall morphology between 1 and 12 months after HTx, the two pullbacks were mutually co-registered. Validation of layer thickness measurements showed high accuracy of performed layer analyses with layer thickness measures correlating well with manually-defined independent standard (R-automated(2) = 0.93, y = 1.0x - 6.2 mu m), average intimal+medial thickness errors were 4.98 +/- 31.24 mu m, comparable with inter-observer variability. Quantitative indices of coronary wall morphology 1 month and 12 months after HTx showed significant local as well as regional changes associated with CAV progression. Some of the newly available fully-3D baseline indices (intimal layer brightness, medial layer brightness, medial thickness, and intimal+medial thickness) were associated with CAV-related progression of intimal thickness showing promise of identifying patients subjected to rapid intimal thickening at 12 months after FITx from OCTimage data obtained just 1 month after HTx. Our approach allows quantification of location-specific alterations of coronary wall morphology over time and is sensitive even to very small changes of wall layer thicknesses that occur in patients following heart transplant.
ER -
CHEN, Zhi, Michal PAZDERNIK, Honghai ZHANG, Andreas WAHLE, Zhihui GUO, Helena BEDÁŇOVÁ, Josef KAUTZNER, Vojtech MELENOVSKY, Tomas KOVARNIK and Milan SONKA. Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. \textit{Medical Image Analysis}. AMSTERDAM: ELSEVIER SCIENCE BV, 2018, vol.~50, DEC 2018, p.~95-105. ISSN~1361-8415. Available from: https://dx.doi.org/10.1016/j.media.2018.09.003.
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