Browse
Submit Data
Databases
API
Help

Dataset Information

13 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Artificial Intelligence for Diminutive Polyp Characterization

ABSTRACT: Artificial intelligence is a promising tool that may have a role in characterizing colon epithelial lesions (CADx), helping to get a reliable optical diagnosis regardless of the endoscopist experience. Performances of the different CADx systems are variable but it seems that, in most cases, high accuracy and sensitivities are achieved. However, these CADx systems have been developed and validated using still pictures or videos, and a real-world accurate test is lacking. No clinical trials have tested this technology in clinical practice and, therefore, performance in real colonoscopies, practical problems, applicability, and cost are unknown.

DISEASE(S): Colorectal Cancer,Colorectal Neoplasms

PROVIDER: 2731946 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Real-time Diagnosis of Diminutive Colorectal Polyps Using AI

Project description:Correct endoscopic prediction of the histopathology and differentiation between benign, pre-malignant, and malignant colorectal polyps (optical diagnosis) remains difficult. Artificial intelligence has great potential in image analysis in gastrointestinal endoscopy. Aim of this study is to investigate the real-time diagnostic performance of AI4CRP for the classification of diminutive colorectal polyps, and to compare it with the real-time diagnostic performance of commercially available CADx systems.

| 2720399 | ecrin-mdr-crc

Diazobutanone-assisted isobaric labeling of phospholipids and sulfated glycolipids enables multiplexed quantitative lipidomics using tandem mass spectrometry

Project description:This Diazo-assisted method features remarkable performances, including labeling efficiency, detection sensitivity, quantitative accuracy, and broad applicability to various biological samples.

2023-05-14 | MSV000091941 | MassIVE

Re-analysis by microarray using cDNA target of samples from psoriasis patients enrolled in an etanercept trial

2013-01-28 | GSE41663 | GEO

Transcription profiling of rat sarcopenic skeletal muscle after treatment with extract of Ginko biloba Egb 761 shows that a juvenile gene expression profile is reactivated

Project description:The sarcopenia-associated decline of the muscular performances in older people is improved by exercise and caloric restriction but is still lacking a more suitable pharmacological treatment. We investigated the effects of EGb 761, a Gingko biloba extract used to treat chronic age-dependent neurological disorders, on the soleus muscle of aged rats. DNA microarray analysis shows that the EGb 761 treatment is associated with the transcriptional reprogramming of genes related to regeneration and energy production functions. EGb 761 up-regulated genes implicated in myogenesis though the TGF? signaling pathway. Also, EGb 761, by modulating genes implicated in fatty acids and glucose oxidation, reversed the agerelated shift from lipids to glucose and improved energy production in mitochondria. These modifications restore a more juvenile gene expression pattern that is concomitant with the improvement of the muscular performances, as assessed by electrophysiological and biochemical parameters. Thus, EGb 761 may represent a novel treatment for sarcopenia

2009-06-30 | E-MEXP-1937 | biostudies-arrayexpress

Project description:Moving pictures of the human microbiome

| PRJEB19825 | ENA

Real-World Validation of an Artificial Intelligence Characterization Support (CADx) System

Project description:Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, with rates of CRC predicted to increase. Colonoscopy is currently the gold standard of screening for CRC. Artificial intelligence (AI) is seen as a solution to bridge this gap in adenoma detection, which is a quality indicator in colonoscopy. AI systems utilize deep neural networks to enable computer-aided detection (CADe) and computer-aided classification (CADx). CADe is concerned with the detection of polyps during colonoscopy, which in turn is postulated to help decrease the adenoma miss-rate. In contrast, CADx deals with the interpretation of polyp appearance during colonoscopy to determine the predicted histology. Prediction of polyp histology is crucial in helping Clinicians decide on a "resect and discard" or "diagnose and leave strategy". It is also useful for the Clinician to be aware of the predicted histology of a colorectal polyp in determining the appropriate method of resection in terms of safety and efficacy. While CADe has been studied extensively in randomized controlled trials, there is a lack of prospective data validating the use of CADx in a clinical setting to predict polyp histology. The investigators plan to conduct a prospective, multi-centre clinical trial to validate the accuracy of CADx support for prediction of polyp histology in real-time colonoscopy.

| 2388863 | ecrin-mdr-crc

aquatic metagenome

Project description:Microbial communities in real drinking water distribution systems

| PRJNA347544 | ENA

Characterization of Colorectal Neoplasia

Project description:This is a post-marketing, single-arm, prospective study investigating the use of GI Genius CADx device in the real-time characterization of colorectal polyps (i.e. prediction of their histology during the colonoscopy). Patients enrolled will undergo a standard white-light colonoscopy with the support of the latest version of the CE-marked GI Genius CADx device. Colonoscopy will be performed according to the standard practice.

| 2377357 | ecrin-mdr-crc

Organotypic three-dimensional cancer cell cultures mirror drug responses in vivo: Lessons learned from the inhibition of EGFR signaling

Project description:Complex three-dimensional (3D) in vitro model systems that recapitulate human tumor biology are essential to better understand the pathophysiology of the disease and to aid in the discovery of novel anti-cancer therapies. 3D organotypic cultures exhibit intercellula communication, nutrient and oxygen gradients, and cell polarity that is lacking in traditional two-dimensional (2D) monolayer cultures. In the present study, we could demonstrate that 2D and 3D cancer models exhibit different drug sensitivities towards both targeted inhibitors of EGFR signaling and broad acting cytotoxic agents. Changes in the kinase activities of Erb family members and differential expression of apoptosis- and survival-associated genes before and after drug treatment may account for the differential drug sensitivities. Importantly, EGFR oncoprotein addiction was evident only in the 3D cultures mirroring the effect of EGFR inhibition in the clinic. Furthermore, targeted drug efficacy was strongly increased when incorporating cancer-associated fibroblasts into the 3D cultures. Taken together, we could provide conclusive evidence that complex 3D cultures are more predictive of the clinical outcome than their 2D counterparts. In the future, 3D cultures will be instrumental for understanding the mode of action of drugs, identifying genotype-drug response relationships and developing patient-specific and personalized cancer treatments.

2017-11-30 | GSE102722 | GEO

Re-analysis by microarray using cDNA target of samples from psoriasis patients enrolled in an etanercept trial

Project description:cDNA and cRNA hybridization technologies have different, probe-specific sensitivities. We used samples from an etanercept trial (GSE11903) to explore in a real-life setting the uniqueness of each platform. We obtained total RNA for a subset of the samples in GSE11903 from Jim Krueger and generated expression profiles using labeled cDNA target. From 14 patients, available base-line lesional and non-lesional skin biopsy pairs as well as post-dose samples were analyzed. All the samples were run on Affymetrix HU133 Plus 2.0 microarrays.

2013-01-28 | E-GEOD-41663 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data