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Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis
M. Pazdernik, Z. Chen, H. Bedanova, J. Kautzner, V. Melenovsky, V. Karmazin, I. Malek, A. Tomasek, E. Ozabalova, J. Krejci, J. Franekova, A. Wahle, H. Zhang, T. Kovarnik, M. Sonka,
Language English Country United States
Document type Clinical Trial, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Grant support
R01 EB004640
NIBIB NIH HHS - United States
NV16-27465A
MZ0
CEP Register
- MeSH
- Early Diagnosis MeSH
- Adult MeSH
- Image Interpretation, Computer-Assisted methods MeSH
- Coronary Angiography methods MeSH
- Middle Aged MeSH
- Humans MeSH
- Follow-Up Studies MeSH
- Coronary Artery Disease diagnostic imaging MeSH
- Tomography, Optical Coherence * MeSH
- Postoperative Complications diagnostic imaging MeSH
- Disease Progression MeSH
- Aged MeSH
- Heart Transplantation * MeSH
- Imaging, Three-Dimensional * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Clinical Trial MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
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.
Cardiovascular and Transplantation Surgery Brno Czech Republic
Department of Cardiology Institute for Clinical and Experimental Medicine Prague Czech Republic
Iowa Institute for Biomedical Imaging University of Iowa Iowa City Iowa USA
References provided by Crossref.org
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