Abstract #2585

Multi-parameter assessment of Perianal Crohn’s disease using quantitative MRI: A Multi-centre study.

Ali Alyami^1,2,3, Caroline Hoad ^2,4, Ross Little⁵, Konstantinos Argyriou⁴, Uday Bannur⁶, Khalid Latief⁶, Christopher Clarke⁶, Phillip Lung⁷, Michael Berks⁵, Susan Cheung⁵, James PB O'Connor^5,8, Geoff JM Parker^9,10, Penny Gowland², and Gordon W. Moran^1,4

¹Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom, ²Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, ³Faculty of Applied Medical Sciences, Diagnostic Radiology, Jazan University, Jazan, Saudi Arabia, ⁴NIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, University of Nottingham, Nottingham, United Kingdom, ⁵Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, ⁶Nottingham University Hospitals NHS Trust, Radiology, Nottingham, United Kingdom, ⁷St Mark's Hospital and London North West Healthcare NHS Trust, Radiology, London, United Kingdom, ⁸Radiotherapy Related Research, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, ⁹Bioxydyn Limited, Manchester, United Kingdom, ¹⁰Centre for Medical Image Computing, University College London, London, United Kingdom

Perianal Crohn’s disease (pCD) is a potential complication of CD patients. Disease monitoring is imprecise due to unreliable clinical scores and subjective radiological reporting. Quantitative MRI sequences, e.g. diffusion-weighted image (DWI), dynamic contrast enhancement (DCE), magnetization transfer (MT) and T2 relaxometry offer opportunities to improve diagnostic capability. This study aimed to attain pilot data regarding the diagnostic utility of these sequences before and after 12 weeks of biological treatment in active pCD. Significant negative correlation was found between MTR and T2, MTR and DCE parameter k^trans and MTR with apparent diffusion coefficient, reflecting competing disease effects of inflammation and fibrosis.

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