Texture Analysis in Myocardial Quantification-version 1.0 23/10/2019
Research type
Research Study
Full title
Assessment of the clinical efficacy of texture analysis in myocardial quantification
IRAS ID
256639
Contact name
J. Graeme Houston
Contact email
Sponsor organisation
University of Dundee
Duration of Study in the UK
2 years, 0 months, 0 days
Research summary
The myocardial disease is one of the biggest components of cardiovascular disease which has the largest medical burden facing the population across the world, so far, the development of therapeutic and early detection approaches to myocardial disease has lagged behind the medical need. \nCardiac Magnetic Resonance (CMR) plays an important role in myocardial disease, but traditional techniques has limitations in diffuse myocardial disease and detecting at an earlier stage.\nTraditional image analysis within clinical imaging has focused largely on the visual inspection and analysis of images of the heart. However, a wealth of information is present in each and every medical image that is simply beyond the reading of the human eye. One advance in medical image analysis is that of texture analysis which measures the non-uniformity of signal within body tissues. This has been most widely explored in the field of cancer imaging where tumour non-uniformity has been shown to provide diagnostic information on the malignancy of a tumour, its response to treatment and its long-term prognosis. However, texture analysis has been poorly analysed in the field of cardiac imaging, especially by CMR. \nThis study is a Phd student’s project, will conduct at a single centre in Ninewells Hospital, it is founded by Medical Research Scotland and Guerbet Group. \nThis study is aimed to investigate the usefulness of myocardial texture analysis of CMR, and find out the texture changes in different healthy age group, different gender, and different myocardial disease condition. \nMethod is to do retrospectively texture analyse of CMR images, which were already collected date from two pre-existing well characterised research cohorts involving over 1,765 participants (all over 18 years old, full consent to use any study data in future studies has been given), there will no new participants be recruited, so will with minimal cost. \n
REC name
Yorkshire & The Humber - Leeds East Research Ethics Committee
REC reference
19/YH/0440
Date of REC Opinion
7 Jan 2020
REC opinion
Favourable Opinion