Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Diagnostic Performance of ultra-low dose CT Colonography for the Detection of colon polyps.

ABSTRACT: Interventions: ultra low dose CT colonography Primary outcome(s): Per-patient performance of CT ultra low dose colonography in the detection of neoplasms, with colonoscopy results as the reference standard. Study Design: Single arm Non-randomized

DISEASE(S): Colorectal Neoplasms

PROVIDER: 2657401 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Clinical application of CT colonography

Project description:Primary outcome(s): Detection rate for colorectal neoplasms and diagnositic accuracy for depth invasion of of CT colonography.

| 2647899 | ecrin-mdr-crc

Optimisation and Performance of Reduced Preparation CT Colography

Project description:To ascertain which of four combinations of low residue diet, reduced laxative dose and oral contrast agent is best tolerated by patients and optimally prepares the colon prior ro CT colonography

| 2020435 | ecrin-mdr-crc

Ultra-low dose aerosol infection provides an improved murine model of tuberculosis

Project description:Ultra-low dose aerosol infection provides an improved murine model of tuberculosis

| PRJNA666628 | ENA

FlashPack: Fast and simple preparation of ultra-high performance capillary columns for LC-MS

Project description:High-resolution capillary chromatography is essential for in-depth characterization of complex biomolecule mixtures by LC-MS. We report a simple and low-cost FlashPack protocol for preparation of ultra-high performance capillary columns of > 50 cm length in less than 1 h using low-pressure equipment. Flashpack LC columns enable robust identification of >35,000 unique peptides and 5,800 human proteins in a single LC-MS analysis.

2019-01-21 | PXD009519 | Pride

Haematopoetic RNA-seq from ultra low input

Project description:Haematopoetic RNA-seq from ultra low input

| PRJNA419186 | ENA

Variation in diagnostic performance among radiologists at screening CT colonography.

Project description:To assess the variation in diagnostic performance among radiologists at screening computed tomographic (CT) colonography.In this HIPAA-compliant, institutional review board-approved study, 6866 asymptomatic adults underwent first-time CT colonographic screening at a single center between January 2005 and November 2011. Results of examinations were interpreted by one of eight board-certified abdominal radiologists (mean number of CT colonographic studies per reader, 858; range, 131-2202). Findings at CT colonography and subsequent colonoscopy were recorded, and key measures of diagnostic performance, including adenoma and advanced neoplasia detection rate, were compared among the radiologists.The overall prevalence of histopathologically confirmed advanced neoplasia was 3.6% and did not differ significantly among radiologists (range, 2.4%-4.4%; P = .067; P = .395 when one outlier was excluded). Overall, 19.5% of polyps detected at CT colonography proved to be advanced neoplasia and did not differ significantly among radiologists (range, 14.4%-23.2%; P = .223). The overall per-polyp endoscopic confirmation rate was 93.5%, ranging from 80.0% to 97.6% among radiologists (P = .585). The overall percentage of nondiagnostic CT colonographic examinations was 0.7% and was consistent among radiologists (range, 0.3%-1.1%; P = .509).Consistent performance for adenoma and advanced neoplasia detection, as well as other clinically relevant end points, were observed among radiologists at CT colonographic screening.

| S-EPMC3689445 | biostudies-other

Transcriptome profiling of wheat seedlings following treatment with ultra-high diluted Arsenicum trioxide

Project description:A recently developed plant model [Betti et al., 2010 TheScientificWorldJOURNAL, 10, 2330M-^V2347] was used for identifying differentially expressed genes associated with plant response to ultra-high diluted (beyond the Avogadro limit) treatments. Seeds of common wheat (Triticum aestivum L.), previously treated with a sublethal dose (0.1%) of Arsenicum trioxide (stressed system) and untreated (non stressed system) were grown in the presence of either ultra-high diluted As2O3 (1e-47 M) or water. RNA was extracted from 7-day old seedlings and Affymetrix GeneChip Wheat Genome Array used for transcription profiling.

2015-03-12 | E-MEXP-3666 | biostudies-arrayexpress

Yield and burden of surveillance CT colonography in a population screening trial for colorectal cancer.

Project description:Interventions: 1. Surveillance CT colonography; 2. Pre- and post- procedural questionnaires; 3. Pain assessment during CT colonography. Primary outcome(s): The final CT colonography screening yield for advanced neoplasia per 100 invitees through determining surveillance CT colonography yield. Study Design: N/A: single arm study, Open (masking not used), N/A , unknown, Parallel

| 17804 | ecrin-mdr-crc

CT Colonography as the Initial Diagnostic Imaging Tool for Patients With Suspected Colorectal Cancer

Project description:This study aims to evaluate whether the use of Computed Tomography Colonography (CTC) for patients with low to intermediate risk of suspected colorectal cancer decreases overall NHS costs and waiting times whilst increasing patient satisfaction compared to clinical practice with utilisation of Optical Colonoscopy.

| 2218836 | ecrin-mdr-crc

Impact of Computer-Aided Detection (CAD) as Second Reader in CT Colonography

Project description:RATIONALE: CT colonography accurately detects large polyps and masses. However, the test is less accurate in identifying lesions between 6 and 9 mm.Use of computer-aided detection (CAD) has shown promising results in providing uniform accuracy and improving CT colonography sensitivity. PURPOSE:This clinical trial compared the performance of CT colonography with unassisted and CAD-assisted reading in detecting patients with colorectal lesions.

| 2110180 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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