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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F18%3A10377665" target="_blank" >RIV/00216208:11110/18:10377665 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14110/18:00104182 RIV/00216208:11130/18:10377665 RIV/00209775:_____/18:N0000013 RIV/00159816:_____/18:00068816 a 2 dalších

Výsledek na webu

<a href="https://doi.org/10.1016/j.healun.2018.04.002" target="_blank" >https://doi.org/10.1016/j.healun.2018.04.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.healun.2018.04.002" target="_blank" >10.1016/j.healun.2018.04.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 &quot;just-enough interaction&quot; 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 &lt; 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 &quot;just-enough interaction&quot; 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 &lt; 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30201 - Cardiac and Cardiovascular systems

Projekt

<a href="/cs/project/NV16-27465A" target="_blank" >NV16-27465A: Sledování koronární nemoci srdečního štěpu pomocí optické koherentní tomografie</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

The Journal of Heart and Lung Transplantation

ISSN

1053-2498

e-ISSN

—

Svazek periodika

37

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

992-1000

Kód UT WoS článku

000441535600009

EID výsledku v databázi Scopus

2-s2.0-85046149472