Endoscopy has been widely used in diagnosing gastrointestinal mucosal lesions. However, there are still lack of objective endoscopic criteria. Linked color imaging (LCI) is newly developed endoscopic technique which enhances color contrast. Thus, we investigated the clinical application of LCI and further analyzed pixel brightness for RGB color model. All the lesions were observed by white light endoscopy (WLE), LCI and blue laser imaging (BLI). Matlab software was used to calculate pixel brightness for red (R), green (G) and blue color (B). Of the endoscopic images for lesions, LCI had significantly higher R compared with BLI but higher G compared with WLE (all P < 0.05). R/(G + B) was significantly different among 3 techniques and qualified as a composite LCI marker. Our correlation analysis of endoscopic diagnosis with pathology revealed that LCI was quite consistent with pathological diagnosis (P = 0.000) and the color could predict certain kinds of lesions. ROC curve demonstrated at the cutoff of R/(G+B) = 0.646, the area under curve was 0.646, and the sensitivity and specificity was 0.514 and 0.773. Taken together, LCI could improve efficiency and accuracy of diagnosing gastrointestinal mucosal lesions and benefit target biopsy. R/(G + B) based on pixel brightness may be introduced as a objective criterion for evaluating endoscopic images.
Interleukin enhancer binding factor 2 (ILF2) has been found to be markedly upregulated in pancreatic carcinoma and is involved in the pathogenesis of pancreatic carcinoma. Thus, ILF2 may be a potential target for therapy. Yet, the regulatory mechanisms of ILF2 in pancreatic carcinoma remain largely elusive. In the present study, we demonstrated that ILF2 functioned as an oncogene and regulated epithelial-mesenchymal transition (EMT)-associated genes in pancreatic carcinoma PANC-1 cells. MicroRNA-7 (miR-7) suppressed ILF2 mRNA expression and the protein level in PANC-1 cells. Contrary to ILF2, miRNA-7 functioned as a tumor-suppressor gene and negatively regulated EMT-associated genes in the PANC-1 cells. Curcumin, a polyphenol natural product isolated from the rhizome of the plant Curcuma longa, has emerged as a promising anticancer therapeutic agent. We found that treatment with curcumin increased miR-7 expression and suppressed ILF2 protein in the PANC-1 cells. Thus, we identified ILF2 as a new downstream target gene of curcumin. The results revealed that ILF2 is regulated by miR-7 and suggest that downregulation of miR-7 may be an important factor for the ILF2 overexpression in pancreatic carcinoma.
We developed a computer-aided diagnosis (CAD) system based on linked color imaging (LCI) images to predict the histological results of polyps by analyzing the colors of the lesions. A total of 139 images of adenomatous polyps and 69 images of non-adenomatous polyps obtained from our hospital were collected and used to train the CAD system. A test set of LCI images, including both adenomatous and non-adenomatous polyps, was prospectively collected from patients who underwent colonoscopies between Oct and Dec 2017; this test set was used to assess the diagnostic abilities of the CAD system compared to those of human endoscopists (two experts and two novices). The accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of this novel CAD system for the training set were 87.0%, 87.1%, 87.0%, 93.1%, and 76.9%, respectively. The test set included 115 adenomatous polyps and 66 non-adenomatous polyps that were prospectively collected. The CAD system identified adenomatous or non-adenomatous polyps in the test set with an accuracy of 78.4%, a sensitivity of 83.3%, a specificity of 70.1%, a PPV of 82.6%, and an NPV of 71.2%. The accuracy of the CAD system was comparable to that of the expert endoscopists (78.4% vs 79.6%;
p
= 0.517). In addition, the diagnostic accuracy of the novices was significantly lower to the performance of the experts (70.7% vs 79.6%;
p
= 0.018). A novel CAD system based on LCI could be a rapid and powerful decision-making tool for endoscopists.
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