| Autor: |
Zhenghong Gao, Kim Turgeon, Thomas D. Wang, Grace H. Elta, Richard S. Kwon, Erik Jan Wamsteker, Rork Kuick, Navin Ghimire, Henry D. Appelman, Anoop Prabhu, Jeong Hoon Lee, Zhenzhen Dai, Bishnu P. Joshi, Scott R. Owens |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
Molecular-Guided Surgery: Molecules, Devices, and Applications III. |
| DOI: |
10.1117/12.2252781 |
| Popis: |
Early detection of precursor lesions for colorectal cancer can greatly improve survival. Pre-neoplasia can appear flat with conventional white light endoscopy. Sessile serrated adenomas (SSA) are precursor lesions found primarily in the proximal colon and frequently appear flat and indistinct. We performed a clinical study of n=37 patients using a multimodal endoscopy with a FITC-labeled peptide specific for SSA. Lesions were imaged with white light, reflectance and fluorescence. White light images were acquired before the peptide was applied and were used to help localize regions of abnormal tissues rightly. Co-registered fluorescence and reflectance images were combined to get ratio images thus the distance was corrected. We calculated the target/background ratio (T/B ratio) to quantify the images and found 2.3-fold greater fluorescence intensity for SSA compared with normal tissues. We found the T/B ratio for SSA to be significantly greater than that for normal colonic mucosa with 89.47% sensitivity and 91.67% specificity at the threshold of 1.22. An ROC curve for SSA and normal mucosa was also plotted with area under curve (AUC) of 0.93. The result also shows that SSA and adenoma are statistically significant and can be identified with 78.95% sensitivity and 90.48% specificity at the threshold of 1.66. An ROC curve was plotted with AUC of 0.88. Therefore, our result shows that the application of a multimodal endoscope with fluorescently labeled peptide can quantify images and works especially good for the detection of SSA which is a premalignant flat lesion conferring a high risk of subsequently leading to a colon cancer. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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