R Schofield1, B Ganeshan2, M Fontana3, A Nasis4, S Castelletti5, S Rosmini6, T A Treibel7, C Manisty7, R Endozo2, A Groves2, J C Moon7. 1. Bart's Heart Centre, London, UK; Institute of Cardiovascular Science, University College London, UK. Electronic address: rebeccaschofield@doctors.org.uk. 2. Institute of Nuclear Medicine, University College London, UK. 3. National Amyloid Centre, Royal Free Hospital, London, UK. 4. Monash Cardiovascular Research Centre, Monash University Department of Medicine (MMC), Melbourne, Australia. 5. Istituto Auxologico Italiano IRCCS, Milan, Italy. 6. Bart's Heart Centre, London, UK. 7. Bart's Heart Centre, London, UK; Institute of Cardiovascular Science, University College London, UK.
Abstract
AIM: To investigate whether unenhanced cardiovascular magnetic resonance (CMR) balanced steady state free precession (bSSFP) cine images could be analysed using textural analysis (TA) software to differentiate different aetiologies of disease causing increased myocardial wall thickness (left ventricular hypertrophy [LVH]) and indicate the severity of myocardial tissue abnormality. MATERIALS AND METHODS: A mid short axis unenhanced cine frame of 216 patients comprising 50 cases of hypertrophic cardiomyopathy (HCM; predominantly Left ventricular outflow tract obstruction [LVOTO] subtype), 52 cases of cardiac amyloid (CA; predominantly AL: light chain subtype), 68 cases of aortic stenosis (AS), 15 hypertensive patients with LVH (HTN+LVH), and 31 healthy volunteers (HV) underwent TA of the CMR cine images (CMRTA) using TexRAD (TexRAD Ltd, Cambridge, UK). Among the HV, 16/31 were scanned twice to form a test-retest reproducibility cohort. CMRTA comprised a filtration-histogram technique to extract and quantify features using six parameters. RESULTS: Test-retest analysis in the HV showed a medium filter (3 mm) was the most reproducible (intra-class correlation of 0.9 for kurtosis and skewness and 0.8 for mean and SD). Disease cohorts were statistically different (p<0.001) to HV for all parameters. Pairwise comparisons of CMRTA parameters showed kurtosis and skewness was consistently significant in ranking the degree of difference from HV (greatest to least): CA, HCM, LVH+HTN, AS (p<0.001). Similarly, mean, standard deviation, entropy, and mean positive pixel (MPP) were consistent in ranking degree of difference from HV: HCM, CA, AS and HTN+LVH. CONCLUSION: Radiomic features of bSSFP CMR data sets derived using TA show promise in discriminating between the aetiologies of LVH.
AIM: To investigate whether unenhanced cardiovascular magnetic resonance (CMR) balanced steady state free precession (bSSFP) cine images could be analysed using textural analysis (TA) software to differentiate different aetiologies of disease causing increased myocardial wall thickness (left ventricular hypertrophy [LVH]) and indicate the severity of myocardial tissue abnormality. MATERIALS AND METHODS: A mid short axis unenhanced cine frame of 216 patients comprising 50 cases of hypertrophic cardiomyopathy (HCM; predominantly Left ventricular outflow tract obstruction [LVOTO] subtype), 52 cases of cardiac amyloid (CA; predominantly AL: light chain subtype), 68 cases of aortic stenosis (AS), 15 hypertensivepatients with LVH (HTN+LVH), and 31 healthy volunteers (HV) underwent TA of the CMR cine images (CMRTA) using TexRAD (TexRAD Ltd, Cambridge, UK). Among the HV, 16/31 were scanned twice to form a test-retest reproducibility cohort. CMRTA comprised a filtration-histogram technique to extract and quantify features using six parameters. RESULTS: Test-retest analysis in the HV showed a medium filter (3 mm) was the most reproducible (intra-class correlation of 0.9 for kurtosis and skewness and 0.8 for mean and SD). Disease cohorts were statistically different (p<0.001) to HV for all parameters. Pairwise comparisons of CMRTA parameters showed kurtosis and skewness was consistently significant in ranking the degree of difference from HV (greatest to least): CA, HCM, LVH+HTN, AS (p<0.001). Similarly, mean, standard deviation, entropy, and mean positive pixel (MPP) were consistent in ranking degree of difference from HV: HCM, CA, AS and HTN+LVH. CONCLUSION: Radiomic features of bSSFP CMR data sets derived using TA show promise in discriminating between the aetiologies of LVH.
Authors: Jihye Jang; Long H Ngo; Jennifer Mancio; Selcuk Kucukseymen; Jennifer Rodriguez; Patrick Pierce; Beth Goddu; Reza Nezafat Journal: Radiol Cardiothorac Imaging Date: 2020-06-25
Authors: Irem Cetin; Zahra Raisi-Estabragh; Steffen E Petersen; Sandy Napel; Stefan K Piechnik; Stefan Neubauer; Miguel A Gonzalez Ballester; Oscar Camara; Karim Lekadir Journal: Front Cardiovasc Med Date: 2020-11-02