Division of Gastroenterology and Hepatology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
Division of Gastroenterology and Hepatology, Radboud University Medical Center, Geert Grooteplein Noord 10, 6525 GA, Nijmegen, The Netherlands.
Dig Dis Sci. 2019 Jun;64(6):1579-1587. doi: 10.1007/s10620-018-5453-1. Epub 2019 Jan 10.
Radiofrequency ablation (RFA) treatment outcomes vary for unknown reasons. One hypothesis is that variations in Barrett's epithelial thickness (BET) are associated with reduced RFA efficacy for thicker BET and strictures for thinner BET. Volumetric laser endomicroscopy (VLE) is an imaging modality that acquires high-resolution, depth-resolved images of BE. However, the attenuation of light by tissue and the lack of layering in Barrett's tissue challenge BET measurements and the study of relationships between thickness and RFA outcomes. We aimed to quantify BET and compared the reliability of standard and contrast-enhanced VLE images.
Baseline VLE scans from BE patients without prior ablative therapy and a Prague (M) length of > 1 cm were obtained from the US VLE Registry. An algorithm was applied to the VLE images to flatten the mucosal surface and enhance the contrast of different esophageal wall layers. Subsequently, BET was measured by two independent VLE readers using both contrast- and non-contrast-enhanced datasets. In order to validate these adjusted images, intra- and interobserver agreements were calculated.
VLE scans from fifty-seven patients were included in this study. BET was measured at eight equidistant locations on the selected cross-sectional images at 0.5 cm intervals from the GEJ to the proximal-most extent of BE. The intra-observer coefficients of the two readers for the contrast-enhanced images were 0.818 (95% CI 0.798-0.836) and 0.890 (95% CI 0.878-0.900). The interobserver agreement for the contrast-enhanced images (0.880; 95% CI 0.867-0.891) was significantly better than for the original images (0.778; 95% CI 0.754-0.799).
We developed an algorithm that improves VLE visualization of the mucosal layers of the esophageal wall and enables rapid and reliable measurement of BET. Interobserver variability measurements were significantly reduced when using contrast enhancement. Studies are underway to correlate BET with treatment response.
射频消融 (RFA) 的治疗效果因未知原因而有所不同。一种假设是,巴雷特上皮厚度 (BET) 的变化与较厚 BET 的 RFA 疗效降低和较薄 BET 的狭窄有关。容积激光内窥 (VLE) 是一种获取 BE 高分辨率、深度分辨图像的成像方式。然而,组织对光的衰减和 Barrett 组织中缺乏分层使得 BET 测量以及厚度与 RFA 结果之间关系的研究受到挑战。我们旨在量化 BET,并比较标准和对比增强 VLE 图像的可靠性。
从没有先前消融治疗且布拉格 (M) 长度大于 1 厘米的 BE 患者的美国 VLE 注册中心获得基线 VLE 扫描。应用算法使黏膜表面变平并增强食管壁不同层之间的对比度,从而增强 VLE 图像的对比度。随后,由两名独立的 VLE 读者使用对比和非对比增强数据集来测量 BET。为了验证这些调整后的图像,计算了观察者内和观察者间的一致性。
本研究纳入了 57 名患者的 VLE 扫描。在距离 GEJ 0.5 厘米处的选定横截面图像的八个等距位置上测量 BET,从近端到 BE 的最远端以 0.5 厘米的间隔进行测量。两位读者对增强图像的观察者内系数分别为 0.818(95%CI 0.798-0.836)和 0.890(95%CI 0.878-0.900)。增强图像的观察者间一致性(0.880;95%CI 0.867-0.891)明显优于原始图像(0.778;95%CI 0.754-0.799)。
我们开发了一种算法,该算法可以改善 VLE 对食管壁黏膜层的可视化效果,并能够快速可靠地测量 BET。使用对比增强时,观察者间变异性测量显著降低。正在进行研究以将 BET 与治疗反应相关联。