Informační systém MU
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://dx.doi.org/10.1016/j.healun.2018.04.002.
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Základní údaje
Originální název Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
Autoři PAZDERNIK, Michal (203 Česká republika, garant), Zhi CHEN (840 Spojené státy), Helena BEDÁŇOVÁ (203 Česká republika), Josef KAUTZNER (203 Česká republika), Vojtech MELENOVSKY (203 Česká republika), Vladimir KARMAZIN (203 Česká republika), Ivan MALEK (203 Česká republika), Ales TOMASEK (203 Česká republika), Eva OZÁBALOVÁ (203 Česká republika, domácí), Jan KREJČÍ (203 Česká republika, domácí), Janka FRANEKOVA (203 Česká republika), Andreas WAHLE (840 Spojené státy), Honghai ZHANG (840 Spojené státy), Tomas KOVARNIK (203 Česká republika) a Milan SONKA (840 Spojené státy).
Vydání JOURNAL OF HEART AND LUNG TRANSPLANTATION, NEW YORK, ELSEVIER SCIENCE INC, 2018, 1053-2498.
Další údaje
Originální 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
Kód RIV RIV/00216224:14110/18:00104182
Organizační jednotka Lékařská fakulta
Doi http://dx.doi.org/10.1016/j.healun.2018.04.002
UT WoS 000441535600009
Klíčová slova anglicky cardiac allograft vasculopathy; OCT; intimal thickness; cholesterol; rapid progression
Štítky 14110115, rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Soňa Böhmová, učo 232884. Změněno: 9. 2. 2019 22:18.
Anotace
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.
Zobrazeno: 22. 7. 2024 09:30