Computer-aided diagnosis of dysplasia in Barrett's esophagus using endoscopic optical coherence tomography
Computer-aided diagnosis of dysplasia in Barrett's esophagus using endoscopic optical coherence tomography
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DOI：
10.1117/1.2337314
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发表时间：
2006-07-01
影响因子：
3.5
通讯作者：
Rollins, Andrew M.
中科院分区：
文献类型：
--
作者：
Qi, Xin;Sivak, Michael V., Jr.;Rollins, Andrew M.
在过去的二十年里，巴雷特食管（BE）和相关的腺癌已经成为一个主要的卫生保健问题。由于内窥镜的广泛使用，BE在所有西方国家越来越受到认可。在内窥镜光学相干断层扫描（EOCT）的临床试验中，我们定义了某些图像特征，这些图像特征似乎是癌前（发育不良）粘膜的特征：显微形态中的散射减少和解体。本工作的目的是开发计算机辅助诊断（CAD）算法，以帮助检测发育不良的BE。本研究中使用的图像数据集来自总共405个EOCT图像（13名患者），这些图像与相应活检的高度相关的组织切片配对。其中，106张图片被纳入研究。所使用的CAD算法基于标准纹理分析方法（中心对称自相关）。使用组织学作为参考标准，该CAD算法的灵敏度为82%，特异性为74%，准确性为83%。CAD有可能量化和标准化异型增生的诊断，并允许高通量的EOCT筛查应用的图像评价。随着进一步的改进，CAD也可以提高EOCT识别BE异型增生的准确性。(c)2006年，由光学仪器工程师协会（Society of Photo-Optical Instrumentation Engineers）主办。
Barrett's esophagus (BE) and associated adenocarcinoma have emerged as a major health care problem over the last two decades. Because of the widespread use of endoscopy, BE is being recognized increasingly in all Western countries. In clinical trials of endoscopic optical coherence tomography (EOCT), we defined certain image features that appear to be characteristic of precancerous (dysplastic) mucosa: decreased scattering and disorganization in the microscopic morphology. The objective of the present work is to develop computer-aided diagnosis (CAD) algorithms that aid the detection of dysplasia in BE. The image dataset used in the present study was derived from a total of 405 EOCT images (13 patients) that were paired with highly correlated histologic sections of corresponding biopsies. Of these, 106 images were included in the study. The CAD algorithm used was based on a standard texture analysis method (center-symmetric auto-correlation). Using histology as the reference standard, this CAD algorithm had a sensitivity of 82%, specificity of 74%, and accuracy of 83%. CAD has the potential to quantify and standardize the diagnosis of dysplasia and allows high throughput image evaluation for EOCT screening applications. With further refinements, CAD could also improve the accuracy of EOCT identification of dysplasia in BE. (c) 2006 Society of Photo-Optical Instrumentation Engineers.