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PAZDERNIK, Michal, Zhi CHEN, Helena BEDÁŇOVÁ, Josef KAUTZNER, Vojtech MELENOVSKY, Vladimir KARMAZIN, Ivan MALEK, Ales TOMASEK, Eva OZÁBALOVÁ, Jan KREJČÍ, Janka FRANEKOVA, Andreas WAHLE, Honghai ZHANG, Tomas KOVARNIK and Milan SONKA. Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis. JOURNAL OF HEART AND LUNG TRANSPLANTATION. NEW YORK: ELSEVIER SCIENCE INC, 2018, vol. 37, No 8, p. 992-1000. ISSN 1053-2498. Available from: https://dx.doi.org/10.1016/j.healun.2018.04.002.

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TY  - JOUR
ID  - 1455016
AU  - Pazdernik, Michal - Chen, Zhi - Bedáňová, Helena - Kautzner, Josef - Melenovsky, Vojtech - Karmazin, Vladimir - Malek, Ivan - Tomasek, Ales - Ozábalová, Eva - Krejčí, Jan - Franekova, Janka - Wahle, Andreas - Zhang, Honghai - Kovarnik, Tomas - Sonka, Milan
PY  - 2018
TI  - Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
JF  - JOURNAL OF HEART AND LUNG TRANSPLANTATION
VL  - 37
IS  - 8
SP  - 992-1000
EP  - 992-1000
PB  - ELSEVIER SCIENCE INC
SN  - 10532498
KW  - cardiac allograft vasculopathy
KW  - OCT
KW  - intimal thickness
KW  - cholesterol
KW  - rapid progression
N2  - BACKGROUND: Optical coherence tomography (OCT) based studies of cardiac allograft vasculopathy (CAV) published thus far have focused mainly on frame-based qualitative analysis of the vascular wall. Full capabilities of this inherently 3-dimensional (3D) imaging modality to quantify CAV have not been fully exploited. METHODS: Coronary OCT imaging was performed at 1 month and 12 months after heart transplant (HTx) during routine surveillance cardiac catheterization. Both baseline and follow-up OCT examinations were analyzed using proprietary, highly automated 3D graph-based optimal segmentation software. Automatically identified borders were efficiently adjudicated using our "just-enough interaction" graph-based segmentation approach that allows to efficiently correct local and regional segmentation errors without slice-by-slice retracing of borders. RESULTS: A total of 50 patients with paired baseline and follow-up OCT studies were included. After registration of baseline and follow-up pullbacks, a total of 356 89 frames were analyzed per patient. During the first post-transplant year, significant reduction in the mean luminal area (p = 0.028) and progression in mean intimal thickness (p = 0.001) were observed. Proximal parts of imaged coronary arteries were affected more than distal parts (p < 0.001). High levels of LDL cholesterol (p = 0.02) and total cholesterol (p = 0.031) in the first month after HTx were the main factors associated with early CAV development. CONCLUSIONS: Our novel, highly automated 3D OCT image analysis method for analyzing intimal and medial thickness in HTx recipients provides fast, accurate, and highly detailed quantitative data on early CAV changes, which are characterized by significant luminal reduction and intimal thickness progression as early as within the first 12 months after HTx. (C) 2018 International Society for Heart and Lung Transplantation. All rights reserved.
ER  -

Basic information
Original name	Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
Authors	PAZDERNIK, Michal (203 Czech Republic, guarantor), Zhi CHEN (840 United States of America), Helena BEDÁŇOVÁ (203 Czech Republic), Josef KAUTZNER (203 Czech Republic), Vojtech MELENOVSKY (203 Czech Republic), Vladimir KARMAZIN (203 Czech Republic), Ivan MALEK (203 Czech Republic), Ales TOMASEK (203 Czech Republic), Eva OZÁBALOVÁ (203 Czech Republic, belonging to the institution), Jan KREJČÍ (203 Czech Republic, belonging to the institution), Janka FRANEKOVA (203 Czech Republic), Andreas WAHLE (840 United States of America), Honghai ZHANG (840 United States of America), Tomas KOVARNIK (203 Czech Republic) and Milan SONKA (840 United States of America).
Edition	JOURNAL OF HEART AND LUNG TRANSPLANTATION, NEW YORK, ELSEVIER SCIENCE INC, 2018, 1053-2498.

Other information
Original language	English
Type of outcome	Article in a journal
Field of Study	30201 Cardiac and Cardiovascular systems
Country of publisher	United States of America
Confidentiality degree	is not subject to a state or trade secret
Impact factor	Impact factor: 8.578
RIV identification code	RIV/00216224:14110/18:00104182
Organization unit	Faculty of Medicine
Doi	http://dx.doi.org/10.1016/j.healun.2018.04.002
UT WoS	000441535600009
Keywords in English	cardiac allograft vasculopathy; OCT; intimal thickness; cholesterol; rapid progression
Tags	14110115, rivok
Tags	International impact, Reviewed
Changed by	Changed by: Soňa Böhmová, učo 232884. Changed: 9/2/2019 22:18.

Abstract
BACKGROUND: Optical coherence tomography (OCT) based studies of cardiac allograft vasculopathy (CAV) published thus far have focused mainly on frame-based qualitative analysis of the vascular wall. Full capabilities of this inherently 3-dimensional (3D) imaging modality to quantify CAV have not been fully exploited. METHODS: Coronary OCT imaging was performed at 1 month and 12 months after heart transplant (HTx) during routine surveillance cardiac catheterization. Both baseline and follow-up OCT examinations were analyzed using proprietary, highly automated 3D graph-based optimal segmentation software. Automatically identified borders were efficiently adjudicated using our "just-enough interaction" graph-based segmentation approach that allows to efficiently correct local and regional segmentation errors without slice-by-slice retracing of borders. RESULTS: A total of 50 patients with paired baseline and follow-up OCT studies were included. After registration of baseline and follow-up pullbacks, a total of 356 89 frames were analyzed per patient. During the first post-transplant year, significant reduction in the mean luminal area (p = 0.028) and progression in mean intimal thickness (p = 0.001) were observed. Proximal parts of imaged coronary arteries were affected more than distal parts (p < 0.001). High levels of LDL cholesterol (p = 0.02) and total cholesterol (p = 0.031) in the first month after HTx were the main factors associated with early CAV development. CONCLUSIONS: Our novel, highly automated 3D OCT image analysis method for analyzing intimal and medial thickness in HTx recipients provides fast, accurate, and highly detailed quantitative data on early CAV changes, which are characterized by significant luminal reduction and intimal thickness progression as early as within the first 12 months after HTx. (C) 2018 International Society for Heart and Lung Transplantation. All rights reserved.

Abstract

BACKGROUND: Optical coherence tomography (OCT) based studies of cardiac allograft vasculopathy (CAV) published thus far have focused mainly on frame-based qualitative analysis of the vascular wall. Full capabilities of this inherently 3-dimensional (3D) imaging modality to quantify CAV have not been fully exploited. METHODS: Coronary OCT imaging was performed at 1 month and 12 months after heart transplant (HTx) during routine surveillance cardiac catheterization. Both baseline and follow-up OCT examinations were analyzed using proprietary, highly automated 3D graph-based optimal segmentation software. Automatically identified borders were efficiently adjudicated using our "just-enough interaction" graph-based segmentation approach that allows to efficiently correct local and regional segmentation errors without slice-by-slice retracing of borders. RESULTS: A total of 50 patients with paired baseline and follow-up OCT studies were included. After registration of baseline and follow-up pullbacks, a total of 356 89 frames were analyzed per patient. During the first post-transplant year, significant reduction in the mean luminal area (p = 0.028) and progression in mean intimal thickness (p = 0.001) were observed. Proximal parts of imaged coronary arteries were affected more than distal parts (p < 0.001). High levels of LDL cholesterol (p = 0.02) and total cholesterol (p = 0.031) in the first month after HTx were the main factors associated with early CAV development. CONCLUSIONS: Our novel, highly automated 3D OCT image analysis method for analyzing intimal and medial thickness in HTx recipients provides fast, accurate, and highly detailed quantitative data on early CAV changes, which are characterized by significant luminal reduction and intimal thickness progression as early as within the first 12 months after HTx. (C) 2018 International Society for Heart and Lung Transplantation. All rights reserved.