A Probabilistic Method for Estimation of Bowel Wall Thickness in MR Colonography
| Autor: | Thomas Hampshire, Alex Menys, Asif Jaffer, Gauraang Bhatnagar, Shonit Punwani, David Atkinson, Steve Halligan, David J Hawkes, Stuart A Taylor |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Male Imaging Techniques Colon Immunology lcsh:Medicine Geometry Crohn's Disease Surgical and Invasive Medical Procedures Gastroenterology and Hepatology Research and Analysis Methods Workflow Diagnostic Radiology Autoimmune Diseases Young Adult Crohn Disease Diagnostic Medicine Medicine and Health Sciences Humans lcsh:Science Models Statistical Radiology and Imaging Applied Mathematics Simulation and Modeling lcsh:R Inflammatory Bowel Disease Biology and Life Sciences Endoscopy Middle Aged Magnetic Resonance Imaging Gastrointestinal Tract Ellipses Physical Sciences lcsh:Q Female Clinical Immunology Anatomy Clinical Medicine Digestive System Algorithms Mathematics Research Article |
| Zdroj: | PLoS ONE PLoS ONE, Vol 12, Iss 1, p e0168317 (2017) |
| ISSN: | 1932-6203 |
| Popis: | MRI has recently been applied as a tool to quantitatively evaluate the response to therapy in patients with Crohn's disease, and is the preferred choice for repeated imaging. Bowel wall thickness on MRI is an important biomarker of underlying inflammatory activity, being abnormally increased in the acute phase and reducing in response to successful therapy; however, a poor level of interobserver agreement of measured thickness is reported and therefore a system for accurate, robust and reproducible measurements is desirable. We propose a novel method for estimating bowel wall-thickness to improve the poor interobserver agreement of the manual procedure. We show that the variability of wall thickness measurement between the algorithm and observer measurements (0.25mm ± 0.81mm) has differences which are similar to observer variability (0.16mm ± 0.64mm). |
| Databáze: | OpenAIRE |
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