Early detection of cardiac allograft vasculopathy using highly
automated 3-dimensional optical coherence tomography analysis

J 2018

Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis

PAZDERNIK, Michal; Zhi CHEN; Helena BEDÁŇOVÁ; Josef KAUTZNER; Vojtech MELENOVSKY et al.

Základní údaje

Originální název

Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis

Autoři

Vydání

JOURNAL OF HEART AND LUNG TRANSPLANTATION, NEW YORK, ELSEVIER SCIENCE INC, 2018, 1053-2498

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30201 Cardiac and Cardiovascular systems

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 8.578

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/18:00104182

Organizační jednotka

Lékařská fakulta

Klíčová slova anglicky

cardiac allograft vasculopathy; OCT; intimal thickness; cholesterol; rapid progression

Štítky

14110115, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 2. 2019 22:18, Soňa Böhmová

Anotace

V originále

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.

Citovat

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 a 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, roč. 37, č. 8, s. 992-1000. ISSN 1053-2498. Dostupné z: https://doi.org/10.1016/j.healun.2018.04.002.

@article{1455016,
   author = {Pazdernik, Michal and Chen, Zhi and Bedáňová, Helena and Kautzner, Josef and Melenovsky, Vojtech and Karmazin, Vladimir and Malek, Ivan and Tomasek, Ales and Ozábalová, Eva and Krejčí, Jan and Franekova, Janka and Wahle, Andreas and Zhang, Honghai and Kovarnik, Tomas and Sonka, Milan},
   article_location = {NEW YORK},
   article_number = {8},
   doi = {https://doi.org/10.1016/j.healun.2018.04.002},
   keywords = {cardiac allograft vasculopathy; OCT; intimal thickness; cholesterol; rapid progression},
   language = {eng},
   issn = {1053-2498},
   journal = {JOURNAL OF HEART AND LUNG TRANSPLANTATION},
   title = {Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis},
   volume = {37},
   year = {2018}
}

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  -

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 a Milan SONKA. Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis. \textit{JOURNAL OF HEART AND LUNG TRANSPLANTATION}. NEW YORK: ELSEVIER SCIENCE INC, 2018, roč.~37, č.~8, s.~992-1000. ISSN~1053-2498. Dostupné z: https://doi.org/10.1016/j.healun.2018.04.002.

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