Dataset Information

Analysis of New Endoscopic Features and Variable Stiffness in Colonoscopy: Prospective Randomised Trial

ABSTRACT: The aim of the present study is to develop and evaluate a computer-based methods for automated and improved detection and classification of different colorectal lesions, especially polyps. For this purpose first, pit pattern and vascularization features of up to 1000 polyps with a size of 10 mm or smaller will be detected and stored in our web based picture database made by a zoom BLI colonoscopy. These polyps are going to be imaged and subsequently removed for histological analysis. The polyp images are analyzed by a newly developed deep learning computer algorithm. The results of the deep learning automatic classification (sensitivity, specificity, negative predictive value, positive predictive value and accuracy) are compared to those of human observers, who were blinded to the histological gold standard. In a second approach we are planning to use LCI of the colon, rather than the usual white light. Here, we will determine, whether this technique could improve the detection of flat neoplastic lesions, laterally spreading tumors, small pedunculated adenomas and serrated polyps. The polyps are called serrated because of their appearance under the microscope after they have been removed. They tend to be located up high in the colon, far away from the rectum. They have been definitely shown to be a type of precancerous polyp and it is possible that using LCI will make it easier to see them, as they can be quite difficult to see with standard white light.

DISEASE(S): Adenomatous Polyps,Colorectal Adenoma,Colorectal Adenomatous Polyp,Adenoma

PROVIDER: 2250639 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Similar Datasets

Project description:The preferential localization of some neoplasms, such as serrated polyps, in specific areas of the intestine suggests that non-genetic factors may be important for their development. To test this hypothesis, we took advantage of transgenic mice that expressed HB-EGF throughout the intestine, but develop serrated polyps only in the cecum. Here we show that a host-specific microbiome was associated with serrated polyps, and that alterations of the microbiota induced by antibiotic treatment or by embryo-transfer rederivation markedly inhibited the formation of serrated polyps in the cecum. Mechanistically, development of serrated polyps was associated with a local decrease in epithelial barrier-function, bacterial invasion, production of antimicrobials, and increased expression of several inflammatory factors such as IL-17, Cxcl2, Tnf-Œ±, and IL-1. Increased number of neutrophils were found within the serrated polyps, and their depletion significantly reduced polyp growth. Together these results indicate that non-genetic factors contribute to the development of serrated polyps and suggest that the development of these intestinal neoplasms in the cecum is driven by the interplay between genetic changes in the host, an inflammatory response, and a host-specific microbiota. SUMMARY: Serrated polyps (SP) are a heterogeneous group of neoplasms found in particular areas of the gut. To define the factors contributing to their specific localization, we analyzed a strain of transgenic mice that carry a genetic alteration throughout the intestinal epithelium, but only develop SP in the cecum. Transcriptome and immunostaining analyses showed increased expression of antimicrobial genes, inflammatory factors, and the presence of bacteria within SP. Alteration of the cecal microbiota by antibiotic treatment or by embryo-transfer rederivation dramatically reduced SP incidence. Microbiome analysis implicated a limited set of bacteria in the development of SP. Together, these results point to a crucial role for the microbiota in the localized development of SP in a genetically susceptible host. We obtained serrated polyp (SP) and surrounding normal (NM) tissue from the ceca of three affected mice (paired design) and assessed expression differences by RNA-Seq.

Dataset Information

Analysis of New Endoscopic Features and Variable Stiffness in Colonoscopy: Prospective Randomised Trial

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets