Deep-learning for epicardial adipose tissue assessment with computed tomography: implications for cardiovascular risk prediction by West, H, Antoniades, C, Siddique, M, Channon, K, Williams, M, Neubauer, S, Shirodaria, C, Thomas, S, Lyasheva, M, Dangas, K, Volpe, L, Kotanidis, C

Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmona... by Fraioli, F, Lyasheva, M, Porter, J, Bomanji, J, Shortman, R, Endozo, R, Wan, S, Bertoletti, L, Machado, M, Ganeshan, B, Win, T, Groves, A

Pericoronary fat radiomic profile (FRP) predicts long-term cardiac risk in individuals with calcium score below 100 on coronary computed tomography angiography by Kotanidis, CP, Oikonomou, EK, Williams, MC, Thomas, S, Thomas, KE, Lyasheva, M, Antonopoulos, AS, Dweck, MR, Shirodaria, C, Neubauer, S, Channon, KM, Newby, DE, Antoniades, C

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography by Oikonomou, EK, Williams, MC, Kotanidis, CP, Desai, MY, Marwan, MM, Antonopoulos, AS, Thomas, KE, Thomas, S, Akoumianakis, I, Fan, LM, Kesavan, S, Herdman, L, Alashi, A, Centeno, E, Lyasheva, M, Griffin, BP, Flamm, SD, Shirodaria, C, Sabharwal, N, Kelion, A, Dweck, MR, Van Beek, EJR, Deanfield, J, Hopewell, JC, Neubauer, S, Channon, KM, Achenbach, S, Newby, DE, Antoniades, C

Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study by Chan, K, Wahome, E, Tsiachristas, A, Antonopoulos, AS, Patel, P, Lyasheva, M, Kingham, L, West, H, Oikonomou, EK, Volpe, L, Mavrogiannis, MC, Nicol, E, Mittal, TK, Halborg, T, Kotronias, RA, Adlam, D, Modi, B, Rodrigues, J, Screaton, N, Kardos, A, Greenwood, JP, Sabharwal, N, De Maria, GL, Munir, S, McAlindon, E, Sohan, Y, Tomlins, P, Siddique, M, Kelion, A, Shirodaria, C, Pugliese, F, Petersen, SE, Blankstein, R, Desai, M, Gersh, BJ, Achenbach, S, Libby, P, Neubauer, S, Channon, KM, Deanfield, J, Antoniades, C, Thomas, S, Denton, J, Farral, R, Taylor, C, Qin, W, Kasongo, M, Anthony, S, Banning, A, Xie, C

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19 by Kotanidis, CP, Xie, C, Alexander, D, Rodrigues, JCL, Burnham, K, Mentzer, A, O’Connor, D, Knight, J, Siddique, M, Lockstone, H, Thomas, S, Kotronias, R, Oikonomou, EK, Badi, I, Lyasheva, M, Shirodaria, C, Lumley, SF, Constantinides, B, Sanderson, N, Rodger, G, Chau, KK, Lodge, A, Tsakok, M, Gleeson, F, Adlam, D, Rao, P, Indrajeet, D, Deshpande, A, Bajaj, A, Hudson, BJ, Srivastava, V, Farid, S, Krasopoulos, G, Sayeed, R, Ho, L-P, Neubauer, S, Newby, DE, Channon, KM, Deanfield, J, Antoniades, C, Ahern, DJ, Ai, Z, Ainsworth, M, Allan, C, Allcock, A, Angus, B, Ansari, MA, Arancibia-Cárcamo, C, Aschenbrenner, D, Attar, M