Katukuri Vinay K, Hargrove John, Miller Sharon J, Rahal Kinan, Kao John Y, Wolters Rolf, Zimmermann Ellen M, Wang Thomas D
Biomed Opt Express. 2010 Sep 21;1(3):1014-1025. doi: 10.1364/BOE.1.001014.
Persistent colonic inflammation increases risk for cancer, but mucosal appearance on conventional endoscopy correlates poorly with histology. Here we demonstrate the use of a flexible silver halide fiber to collect mid-infrared absorption spectra and an interval model to distinguish colitis from normal mucosa in dextran sulfate sodium treated mice. The spectral regime between 950 and 1800 cm(-1) was collected from excised colonic specimens and compared with histology. Our model identified 3 sub-ranges that optimize the classification results, and the performance for detecting inflammation resulted in a sensitivity, specificity, accuracy, and positive predictive value of 92%, 88%, 90%, and 88%, respectively.
持续性结肠炎症会增加患癌风险,但传统内镜检查下的黏膜外观与组织学表现相关性较差。在此,我们展示了使用柔性卤化银纤维收集中红外吸收光谱,并利用间隔模型在葡聚糖硫酸钠处理的小鼠中区分结肠炎和正常黏膜。从切除的结肠标本中收集950至1800 cm(-1)之间的光谱范围,并与组织学进行比较。我们的模型确定了3个优化分类结果的子范围,检测炎症的性能分别导致灵敏度、特异性、准确率和阳性预测值为92%、88%、90%和88%。