Abstract

14 Background: Patients with Barrett’s esophagus (BE), defined as presence of intestinal metaplasia (IM) in the esophagus, require surveillance due to an increased risk of developing esophageal adenocarcinoma (EAC). The biggest challenge in the current surveillance methodology (i.e., Seattle protocol) is random sampling with the inability to identify those patients with non-dysplastic BE on surveillance who have occult high grade dysplasia (HGD) or will eventually progress to HGD or EAC. We propose a novel approach based on the concept of field effect to detect HGD or EAC through the analysis of non-dysplastic IM, thus identifying a high risk BE population. Our group uses a unique microscope – spatial-domain low-coherence quantitative phase microscopy (SL-QPM) to detect changes in nuclear structure as small as 0.9 nm, a scale 1000 times smaller than what conventional microscopy detects. We hypothesize that the SL-QPM-derived optical biomarkers of non-dysplastic IM would distinguish BE patients with EAC/HGD from those without neoplasia. Methods: We performed a retrospective study of 60 BE patients who underwent Seattle protocol biopsies: 33 BE patients with IM only and 27 BE patients with HGD or EAC (21 HGD, 6 EAC). H&E stained slides with non-dysplastic IM on review by an expert pathologist were used. The distance between the selected IM biopsy and HGD/EAC was 1 to 4 cm. Forty to 60 columnar cells from each case were analyzed. Results: We identified three optical biomarkers (nuclear optical path length, intra-nuclear uniformity, entropy) that can distinguish non-dysplastic BE from patients with HGD and EAC with statistical significance (P < 0.01). A prediction model combining all three optical biomarkers can distinguish BE patients with HGD/EAC from those with IM only at 89% sensitivity and 76% specificity (accuracy = 0.87). Conclusions: The accurate assessment of nanoscale optical biomarkers by SL-QPM is a promising approach for detecting dysplastic/neoplastic Barrett’s epithelium from non-dysplastic IM. This approach could potentially simplify BE surveillance by identifying a subset of high-risk BE patients that warrant intensive surveillance.

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