Abstract
Results: 26 OCT frames were analyzed per operator. Lumen area showed high correlation (r=0.96, p < 0.001) and no signiicant difference between automatic (A; 4.93±2 mm2) manual (M; 4.94±2 mm2) or histological assessment (H; 5.27±2.4 mm2, p 0.58). Similar results were obtained on neointimal thickness (A=0.5±0.2mm; M=0.5±0.2mm and H=0.6±0.3mm, p=0.39). The OCT-histology correlation for neointimal thickness was also very high (r=0.95, p<0.001). Stent area show no statistical difference between both OCT techniques (A=9.3±1.4 mm2 vs M=9.3±1.3 mm2, p=0.99). However, the OCT-histology correlation for stent area was lower (OCT= 9.3±1.3 mm2 vs histology= 10.6±1.3mm2, r=0.89, p < 0.001) than seen in the other analyzed variables. Conclusions: The morphometric evaluation of neointimal response using a novel in-vivo automatic border detection software highly correlated with the data obtained by histology. Although still high, the evaluation of stent areas by OCT appears to have a lower degree of correlation in comparison to the other analyzed variables.
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