Journal article
Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
The Journal of heart and lung transplantation, Vol.37(8), pp.992-1000
08/2018
DOI: 10.1016/j.healun.2018.04.002
PMID: 29706574
Abstract
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.
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.
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.
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.
Details
- Title: Subtitle
- Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
- Creators
- Michal Pazdernik - Charles UniversityZhi Chen - University of IowaHelena Bedanova - Cardiovascular and Transplantation Surgery, Brno, Czech RepublicJosef Kautzner - Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicVojtech Melenovsky - Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicVladimir Karmazin - Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicIvan Malek - Department of Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicAles Tomasek - Cardiovascular and Transplantation Surgery, Brno, Czech RepublicEva Ozabalova - Masaryk UniversityJan Krejci - Masaryk UniversityJanka Franekova - Department of Laboratory Methods, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicAndreas Wahle - University of IowaHonghai Zhang - University of IowaTomas Kovarnik - Charles UniversityMilan Sonka - University of Iowa
- Resource Type
- Journal article
- Publication Details
- The Journal of heart and lung transplantation, Vol.37(8), pp.992-1000
- DOI
- 10.1016/j.healun.2018.04.002
- PMID
- 29706574
- NLM abbreviation
- J Heart Lung Transplant
- ISSN
- 1053-2498
- eISSN
- 1557-3117
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 08/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186595002771
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