Cardiac Magnetic Resonance (MR) is an increasingly used technique due to its versatility, non-invasiveness and lack ofionising radiation. The majority of image analysis is currently performed by visual inspection of the anatomical structures which is constrainedby the limitations of the human eye. Texture analysis is based on mathematical parameters representing structure of the tissue and is sensitive to very subtle differences in voxel greylevels [1] Texture analysis uses images obtained in routine diagnostic practice and is an interesting field of research, particularly well explored in...

Demographics This study was a single centre observational sub-study of the SUMMIT study (multicentre SUrrogate markers for Micro- and Macrovascular hard endpoints for Innovative diabetes Tools). 143 volunteers were enrolled and divided into 4 groups: Group 1: type 2 diabetes mellitus (T2DM) with a clinical diagnosis of cardiovascular disease (CVD) that included coronary artery disease (CAD), cerebrovascular disease and/or lower extremity arterial disease (LEAD) Group 2:T2DMwith no clinical evidence of cardiovascular disease Group 3: absence of diabetes mellitus with clinical evidence of CVD Group 4:...

On the one-way analysis of variance test there were significant differences between the four groups in: Fine entropy (F-test = 2.96, p=0.034) Coarse entropy (F-test = 2.94, p=0.035) Fine sum of squares measure (F-test = 2.76, p=0.044) Coarse sum of squares measure (F-test = 3.48, p=0.018) Texture feature Sum of Squares Mean Square F-test Significance Entropy - coarse 0.27 0.09 2.937 0.035 Sum of squares - coarse 1168.099 389.37 3.479 0.018 Entropy - fine 0.1 0.033 2.958 0.034 Sum of squares - fine 689.764 229.92...

Myocardial heterogeneity on routine non-contrast MR sequences is increased in those with cardiovascular disease compared with controls, suggesting the technique holds potential as a new and novel way of quantifying myocardial structure without the need for additional sequences.

Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol. 2004 Dec; 59(12):1061-9 Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival. Ng F, Ganeshan B, Kozarski R, Miles KA, Goh V. Radiology. 2013 Jan;266(1):177-84. Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver. Ganeshan B, Miles KA, Young RC, Chatwin CR. Eur J Radiol. 2009 Apr;70(1):101-10. Naqa I et...