44 results on '"Piechnik, Stefan K."'
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2. Editorial Expression of Concern: Splenic T1-mapping: a novel quantitative method for assessing adenosine stress adequacy for cardiovascular magnetic resonance
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Liu, Alexander, Wijesurendra, Rohan S., Ariga, Rina, Mahmod, Masliza, Levelt, Eylem, Greiser, Andreas, Petrou, Mario, Krasopoulos, George, Forfar, John C., Kharbanda, Rajesh K., Channon, Keith M., Neubauer, Stefan, Piechnik, Stefan K., and Ferreira, Vanessa M.
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- 2023
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3. Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study
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Raman, Betty, McCracken, Celeste, Cassar, Mark P, Moss, Alastair J, Finnigan, Lucy, Samat, Azlan Helmy A, Ogbole, Godwin, Tunnicliffe, Elizabeth M, Alfaro-Almagro, Fidel, Menke, Ricarda, Xie, Cheng, Gleeson, Fergus, Lukaschuk, Elena, Lamlum, Hanan, McGlynn, Kevin, Popescu, Iulia A, Sanders, Zeena-Britt, Saunders, Laura C, Piechnik, Stefan K, Ferreira, Vanessa M, Nikolaidou, Chrysovalantou, Rahman, Najib M, Ho, Ling-Pei, Harris, Victoria C, Shikotra, Aarti, Singapuri, Amisha, Pfeffer, Paul, Manisty, Charlotte, Kon, Onn M, Beggs, Mark, O'Regan, Declan P, Fuld, Jonathan, Weir-McCall, Jonathan R, Parekh, Dhruv, Steeds, Rick, Poinasamy, Krisnah, Cuthbertson, Dan J, Kemp, Graham J, Semple, Malcolm G, Horsley, Alexander, Miller, Christopher A, O'Brien, Caitlin, Shah, Ajay M, Chiribiri, Amedeo, Leavy, Olivia C, Richardson, Matthew, Elneima, Omer, McAuley, Hamish J C, Sereno, Marco, Saunders, Ruth M, Houchen-Wolloff, Linzy, Greening, Neil J, Bolton, Charlotte E, Brown, Jeremy S, Choudhury, Gourab, Diar Bakerly, Nawar, Easom, Nicholas, Echevarria, Carlos, Marks, Michael, Hurst, John R, Jones, Mark G, Wootton, Daniel G, Chalder, Trudie, Davies, Melanie J, De Soyza, Anthony, Geddes, John R, Greenhalf, William, Howard, Luke S, Jacob, Joseph, Man, William D-C, Openshaw, Peter J M, Porter, Joanna C, Rowland, Matthew J, Scott, Janet T, Singh, Sally J, Thomas, David C, Toshner, Mark, Lewis, Keir E, Heaney, Liam G, Harrison, Ewen M, Kerr, Steven, Docherty, Annemarie B, Lone, Nazir I, Quint, Jennifer, Sheikh, Aziz, Zheng, Bang, Jenkins, R Gisli, Cox, Eleanor, Francis, Susan, Halling-Brown, Mark, Chalmers, James D, Greenwood, John P, Plein, Sven, Hughes, Paul J C, Thompson, A A Roger, Rowland-Jones, Sarah L, Wild, James M, Kelly, Matthew, Treibel, Thomas A, Bandula, Steven, Aul, Raminder, Miller, Karla, Jezzard, Peter, Smith, Stephen, Nichols, Thomas E, McCann, Gerry P, Evans, Rachael A, Wain, Louise V, Brightling, Christopher E, Neubauer, Stefan, Baillie, J K, Shaw, Alison, Hairsine, Brigid, Kurasz, Claire, Henson, Helen, Armstrong, Lisa, Shenton, Liz, Dobson, H, Dell, Amanda, Lucey, Alice, Price, Andrea, Storrie, Andrew, Pennington, Chris, Price, Claire, Mallison, Georgia, Willis, Gemma, Nassa, Heeah, Haworth, Jill, Hoare, Michaela, Hawkings, Nancy, Fairbairn, Sara, Young, Susan, Walker, S, Jarrold, I, Sanderson, Amy, David, C, Chong-James, K, Zongo, O, James, W Y, Martineau, A, King, Bernie, Armour, C, McAulay, D, Major, E, McGinness, Jade, McGarvey, L, Magee, N, Stone, Roisin, Drain, S, Craig, T, Bolger, A, Haggar, Ahmed, Lloyd, Arwel, Subbe, Christian, Menzies, Daniel, Southern, David, McIvor, Emma, Roberts, K, Manley, R, Whitehead, Victoria, Saxon, W, Bularga, A, Mills, N L, El-Taweel, Hosni, Dawson, Joy, Robinson, Leanne, Saralaya, Dinesh, Regan, Karen, Storton, Kim, Brear, Lucy, Amoils, S, Bermperi, Areti, Elmer, Anne, Ribeiro, Carla, Cruz, Isabel, Taylor, Jessica, Worsley, J, Dempsey, K, Watson, L, Jose, Sherly, Marciniak, S, Parkes, M, McQueen, Alison, Oliver, Catherine, Williams, Jenny, Paradowski, Kerry, Broad, Lauren, Knibbs, Lucy, Haynes, Matthew, Sabit, Ramsey, Milligan, L, Sampson, Claire, Hancock, Alyson, Evenden, Cerys, Lynch, Ceri, Hancock, Kia, Roche, Lisa, Rees, Meryl, Stroud, Natalie, Thomas-Woods, T, Heller, S, Robertson, E, Young, B, Wassall, Helen, Babores, M, Holland, Maureen, Keenan, Natalie, Shashaa, Sharlene, Price, Carly, Beranova, Eva, Ramos, Hazel, Weston, Heather, Deery, Joanne, Austin, Liam, Solly, Reanne, Turney, Sharon, Cosier, Tracey, Hazelton, Tracy, Ralser, M, Wilson, Ann, Pearce, Lorraine, Pugmire, S, Stoker, Wendy, McCormick, W, Dewar, A, Arbane, Gill, Kaltsakas, G, Kerslake, Helen, Rossdale, J, Bisnauthsing, Karen, Aguilar Jimenez, Laura A, Martinez, L M, Ostermann, Marlies, Magtoto, Murphy M, Hart, Nicholas, Marino, Philip, Betts, Sarah, Solano, Teresa S, Arias, Ava Maria, Prabhu, A, Reed, Annabel, Wrey Brown, Caroline, Griffin, Denise, Bevan, Emily, Martin, Jane, Owen, J, Alvarez Corral, Maria, Williams, Nick, Payne, Sheila, Storrar, Will, Layton, Alison, Lawson, Cathy, Mills, Clare, Featherstone, James, Stephenson, Lorraine, Burdett, Tracy, Ellis, Y, Richards, A, Wright, C, Sykes, D L, Brindle, K, Drury, Katie, Holdsworth, L, Crooks, M G, Atkin, Paul, Flockton, Rachel, Thackray-Nocera, Susannah, Mohamed, Abdelrahman, Taylor, Abigail, Perkins, Emma, Ross, Gavin, McGuinness, Heather, Tench, Helen, Phipps, Janet, Loosley, Ronda, Wolf-Roberts, Rebecca, Coetzee, S, Omar, Zohra, Ross, Alexandra, Card, Bethany, Carr, Caitlin, King, Clara, Wood, Chloe, Copeland, D, Calvelo, Ellen, Chilvers, Edwin R, Russell, Emily, Gordon, Hussain, Nunag, Jose Lloyd, Schronce, J, March, Katherine, Samuel, Katherine, Burden, L, Evison, Lynsey, McLeavey, Laura, Orriss-Dib, Lorna, Tarusan, Lawrence, Mariveles, Myril, Roy, Maura, Mohamed, Noura, Simpson, Neil, Yasmin, Najira, Cullinan, P, Daly, Patrick, Haq, Sulaimaan, Moriera, Silvia, Fayzan, Tamanah, Munawar, Unber, Nwanguma, Uchechi, Lingford-Hughes, A, Altmann, Danny, Johnston, D, Mitchell, J, Valabhji, J, Price, L, Molyneaux, P L, Thwaites, Ryan S, Walsh, S, Frankel, A, Lightstone, L, Wilkins, M, Willicombe, M, McAdoo, S, Touyz, R, Guerdette, Anne-Marie, Warwick, Katie, Hewitt, Melanie, Reddy, R, White, Sonia, McMahon, A, Hoare, Amy, Knighton, Abigail, Ramos, Albert, Te, Amelie, Jolley, Caroline J, Speranza, Fabio, Assefa-Kebede, Hosanna, Peralta, Ida, Breeze, Jonathon, Shevket, K, Powell, Natassia, Adeyemi, Oluwaseun, Dulawan, Pearl, Adrego, Rita, Byrne, S, Patale, Sheetal, Hayday, A, Malim, M, Pariante, C, Sharpe, C, Whitney, J, Bramham, K, Ismail, K, Wessely, S, Nicholson, T, Ashworth, Andrew, Humphries, Amy, Tan, Ai Lyn, Whittam, Beverley, Coupland, C, Favager, Clair, Peckham, D, Wade, Elaine, Saalmink, Gwen, Clarke, Jude, Glossop, Jodie, Murira, Jennifer, Rangeley, Jade, Woods, Janet, Hall, Lucy, Dalton, Matthhew, Window, Nicola, Beirne, Paul, Hardy, Tim, Coakley, G, Turtle, Lance, Berridge, Anthony, Cross, Andy, Key, Angela L, Rowe, Anna, Allt, Ann Marie, Mears, Chloe, Malein, Flora, Madzamba, Gladys, Hardwick, H E, Earley, Joanne, Hawkes, Jenny, Pratt, James, Wyles, J, Tripp, K A, Hainey, Kera, Allerton, Lisa, Lavelle-Langham, L, Melling, Lucy, Wajero, Lilian O, Poll, L, Noonan, Matthew J, French, N, Lewis-Burke, N, Williams-Howard, S A, Cooper, Shirley, Kaprowska, Sabina, Dobson, S L, Marsh, Sophie, Highett, Victoria, Shaw, V, Beadsworth, M, Defres, S, Watson, Ekaterina, Tiongson, Gerlynn F, Papineni, Padmasayee, Gurram, Sambasivarao, Diwanji, Shalin N, Quaid, Sheena, Briggs, A, Hastie, Claire, Rogers, Natalie, Stensel, D, Bishop, L, McIvor, K, Rivera-Ortega, P, Al-Sheklly, B, Avram, Cristina, Faluyi, David, Blaikely, J, Piper Hanley, K, Radhakrishnan, K, Buch, M, Hanley, N A, Odell, Natasha, Osbourne, Rebecca, Stockdale, Sue, Felton, T, Gorsuch, T, Hussell, T, Kausar, Zunaira, Kabir, T, McAllister-Williams, H, Paddick, S, Burn, D, Ayoub, A, Greenhalgh, Alan, Sayer, A, Young, A, Price, D, Burns, G, MacGowan, G, Fisher, Helen, Tedd, H, Simpson, J, Jiwa, Kasim, Witham, M, Hogarth, Philip, West, Sophie, Wright, S, McMahon, Michael J, Neill, Paula, Dougherty, Andrew, Morrow, A, Anderson, David, Grieve, D, Bayes, Hannah, Fallon, K, Mangion, K, Gilmour, L, Basu, N, Sykes, R, Berry, C, McInnes, I B, Donaldson, A, Sage, E K, Barrett, Fiona, Welsh, B, Bell, Murdina, Quigley, Jackie, Leitch, Karen, Macliver, L, Patel, Manish, Hamil, R, Deans, Andrew, Furniss, J, Clohisey, S, Elliott, Anne, Solstice, A R, Deas, C, Tee, Caroline, Connell, David, Sutherland, Debbie, George, J, Mohammed, S, Bunker, Jenny, Holmes, Katie, Dipper, A, Morley, Anna, Arnold, David, Adamali, H, Welch, H, Morrison, Leigh, Stadon, Louise, Maskell, Nick, Barratt, Shaney, Dunn, Sarah, Waterson, Samuel, Jayaraman, Bhagy, Light, Tessa, Selby, N, Hosseini, A, Shaw, Karen, Almeida, Paula, Needham, Robert, Thomas, Andrew K, Matthews, Laura, Gupta, Ayushman, Nikolaidis, Athanasios, Dupont, Catherine, Bonnington, J, Chrystal, Melanie, Greenhaff, P L, Linford, S, Prosper, Sabrina, Jang, W, Alamoudi, Asma, Bloss, Angela, Megson, Clare, Nicoll, Debby, Fraser, Emily, Pacpaco, Edmund, Conneh, Florence, Ogg, G, McShane, H, Koychev, Ivan, Chen, Jin, Pimm, John, Ainsworth, Mark, Pavlides, M, Sharpe, M, Havinden-Williams, May, Petousi, Nayia, Talbot, Nick, Carter, Penny, Kurupati, Prathiba, Dong, T, Peng, Yanchun, Burns, A, Kanellakis, N, Korszun, A, Connolly, B, Busby, J, Peto, T, Patel, B, Nolan, C M, Cristiano, Daniele, Walsh, J A, Liyanage, Kamal, Gummadi, Mahitha, Dormand, N, Polgar, Oliver, George, P, Barker, R E, Patel, Suhani, Gibbons, M, Matila, Darwin, Jarvis, Hannah, Lim, Lai, Olaosebikan, Olaoluwa, Ahmad, Shanaz, Brill, Simon, Mandal, S, Laing, C, Michael, Alice, Reddy, A, Johnson, C, Baxendale, H, Parfrey, H, Mackie, J, Newman, J, Pack, Jamie, Parmar, J, Paques, K, Garner, Lucie, Harvey, Alice, Summersgill, C, Holgate, D, Hardy, E, Oxton, J, Pendlebury, Jessica, McMorrow, L, Mairs, N, Majeed, N, Dark, P, Ugwuoke, R, Knight, Sean, Whittaker, S, Strong-Sheldrake, Sophia, Matimba-Mupaya, Wadzanai, Chowienczyk, P, Pattenadk, Dibya, Hurditch, E, Chan, Flora, Carborn, H, Foot, H, Bagshaw, J, Hockridge, J, Sidebottom, J, Lee, Ju Hee, Birchall, K, Turner, Kim, Haslam, L, Holt, L, Milner, L, Begum, M, Marshall, M, Steele, N, Tinker, N, Ravencroft, Phillip, Butcher, Robyn, Misra, S, Coburn, Zach, Fairman, Alexandra, Ford, Amber, Holbourn, Ailsa, Howell, Alice, Lawrie, Allan, Lye, Alison, Mbuyisa, Angeline, Zawia, Amira, Holroyd-Hind, B, Thamu, B, Clark, Cameron, Jarman, Claire, Norman, C, Roddis, C, Foote, David, Lee, Elvina, Ilyas, F, Stephens, G, Newell, Helen, Turton, Helena, Macharia, Irene, Wilson, Imogen, Cole, Joby, McNeill, J, Meiring, J, Rodger, J, Watson, James, Chapman, Kerry, Harrington, Kate, Chetham, Luke, Hesselden, L, Nwafor, Lorenza, Dixon, Myles, Plowright, Megan, Wade, Phillip, Gregory, Rebecca, Lenagh, Rebecca, Stimpson, R, Megson, Sharon, Newman, Tom, Cheng, Yutung, Goodwin, Camelia, Heeley, Cheryl, Sissons, D, Sowter, D, Gregory, Heidi, Wynter, Inez, Hutchinson, John, Kirk, Jill, Bennett, Kaytie, Slack, Katie, Allsop, Lynne, Holloway, Leah, Flynn, Margaret, Gill, Mandy, Greatorex, M, Holmes, Megan, Buckley, Phil, Shelton, Sarah, Turner, Sarah, Sewell, Terri Ann, Whitworth, V, Lovegrove, Wayne, Tomlinson, Johanne, Warburton, Louise, Painter, Sharon, Vickers, Carinna, Redwood, Dawn, Tilley, Jo, Palmer, Sue, Wainwright, Tania, Breen, G, Hotopf, M, Dunleavy, A, Teixeira, J, Ali, Mariam, Mencias, Mark, Msimanga, N, Siddique, Sulman, Samakomva, T, Tavoukjian, Vera, Forton, D, Ahmed, R, Cook, Amanda, Thaivalappil, Favas, Connor, Lynda, Rees, Tabitha, McNarry, M, Williams, N, McCormick, Jacqueline, McIntosh, Jerome, Vere, Joanne, Coulding, Martina, Kilroy, Susan, Turner, Victoria, Butt, Al-Tahoor, Savill, Heather, Fraile, Eva, Ugoji, Jacinta, Landers, G, Lota, Harpreet, Portukhay, Sofiya, Nasseri, Mariam, Daniels, Alison, Hormis, Anil, Ingham, Julie, Zeidan, Lisa, Osborne, Lynn, Chablani, Manish, Banerjee, A, David, A, Pakzad, A, Rangelov, B, Williams, B, Denneny, E, Willoughby, J, Xu, M, Mehta, P, Batterham, R, Bell, R, Aslani, S, Lilaonitkul, W, Checkley, A, Bang, Dongchun, Basire, Donna, Lomas, D, Wall, E, Plant, Hannah, Roy, K, Heightman, M, Lipman, M, Merida Morillas, Marta, Ahwireng, Nyarko, Chambers, R C, Jastrub, Roman, Logan, S, Hillman, T, Botkai, A, Casey, A, Neal, A, Newton-Cox, A, Cooper, B, Atkin, C, McGee, C, Welch, C, Wilson, D, Sapey, E, Qureshi, H, Hazeldine, J, Lord, J M, Nyaboko, J, Short, J, Stockley, J, Dasgin, J, Draxlbauer, K, Isaacs, K, Mcgee, K, Yip, K P, Ratcliffe, L, Bates, M, Ventura, M, Ahmad Haider, N, Gautam, N, Baggott, R, Holden, S, Madathil, S, Walder, S, Yasmin, S, Hiwot, T, Jackson, T, Soulsby, T, Kamwa, V, Peterkin, Z, Suleiman, Z, Chaudhuri, N, Wheeler, H, Djukanovic, R, Samuel, R, Sass, T, Wallis, T, Marshall, B, Childs, C, Marouzet, E, Harvey, M, Fletcher, S, Dickens, C, Beckett, P, Nanda, U, Daynes, E, Charalambou, A, Yousuf, A J, Lea, A, Prickett, A, Gooptu, Bibek, Hargadon, Beverley, Bourne, Charlotte, Christie, C, Edwardson, C, Lee, D, Baldry, E, Stringer, E, Woodhead, F, Mills, G, Arnold, H, Aung, H, Qureshi, I N, Finch, J, Skeemer, J, Hadley, K, Khunti, Kamlesh, Carr, Liesel, Ingram, L, Aljaroof, M, Bakali, M, Bakau, M, Baldwin, M, Bourne, Michelle, Pareek, Manish, Soares, M, Tobin, Martin, Armstrong, Natalie, Brunskill, Nigel, Goodman, N, Cairns, P, Haldar, Pranab, McCourt, P, Dowling, R, Russell, Richard, Diver, Sarah, Edwards, Sarah, Glover, Sarah, Parker, S, Siddiqui, Salman, Ward, T J C, Mcnally, T, Thornton, T, Yates, Tom, Ibrahim, W, Monteiro, Will, Thickett, D, Wilkinson, D, Broome, M, McArdle, P, Upthegrove, R, Wraith, D, Langenberg, C, Summers, C, Bullmore, E, Heeney, J L, Schwaeble, W, Sudlow, C L, Adeloye, D, Newby, D E, Rudan, I, Shankar-Hari, M, Thorpe, M, Pius, R, Walmsley, S, McGovern, A, Ballard, C, Allan, L, Dennis, J, Cavanagh, J, Petrie, J, O'Donnell, K, Spears, M, Sattar, N, MacDonald, S, Guthrie, E, Henderson, M, Guillen Guio, Beatriz, Zhao, Bang, Lawson, C, Overton, Charlotte, Taylor, Chris, Tong, C, Mukaetova-Ladinska, Elizabeta, Turner, E, Pearl, John E, Sargant, J, Wormleighton, J, Bingham, Michelle, Sharma, M, Steiner, Mike, Samani, Nilesh, Novotny, Petr, Free, Rob, Allen, R J, Finney, Selina, Terry, Sarah, Brugha, Terry, Plekhanova, Tatiana, McArdle, A, Vinson, B, Spencer, L G, Reynolds, W, Ashworth, M, Deakin, B, Chinoy, H, Abel, K, Harvie, M, Stanel, S, Rostron, A, Coleman, C, Baguley, D, Hufton, E, Khan, F, Hall, I, Stewart, I, Fabbri, L, Wright, L, Kitterick, P, Morriss, R, Johnson, S, Bates, A, Antoniades, C, Clark, D, Bhui, K, Channon, K M, Motohashi, K, Sigfrid, L, Husain, M, Webster, M, Fu, X, Li, X, Kingham, L, Klenerman, P, Miiler, K, Carson, G, Simons, G, Huneke, N, Calder, P C, Baldwin, D, Bain, S, Lasserson, D, Daines, L, Bright, E, Stern, M, Crisp, P, Dharmagunawardena, R, Reddington, A, Wight, A, Bailey, L, Ashish, A, Robinson, E, Cooper, J, Broadley, A, Turnbull, A, Brookes, C, Sarginson, C, Ionita, D, Redfearn, H, Elliott, K, Barman, L, Griffiths, L, Guy, Z, Gill, Rhyan, Nathu, Rashmita, Harris, Edward, Moss, P, Finnigan, J, Saunders, Kathryn, Saunders, Peter, Kon, S, Kon, Samantha S, O'Brien, Linda, Shah, K, Shah, P, Richardson, Emma, Brown, V, Brown, M, Brown, Jo, Brown, J, Brown, Ammani, Brown, Angela, Choudhury, N, Jones, S, Jones, H, Jones, L, Jones, I, Jones, G, Jones, Heather, Jones, Don, Davies, Ffyon, Davies, Ellie, Davies, Kim, Davies, Gareth, Davies, Gwyneth A, Howard, K, Porter, Julie, Rowland, J, Rowland, A, Scott, Kathryn, Singh, Suver, Singh, Claire, Thomas, S, Thomas, Caradog, Lewis, Victoria, Lewis, J, Lewis, D, Harrison, P, Francis, C, Francis, R, Hughes, Rachel Ann, Hughes, Joan, Hughes, A D, Thompson, T, Kelly, S, Smith, D, Smith, Nikki, Smith, Andrew, Smith, Jacqui, Smith, Laurie, Smith, Susan, Evans, Teriann, Evans, Ranuromanana I, Evans, D, Evans, R, Evans, H, and Evans, J
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- 2023
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4. 3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy: Insights From the NHLBI International HCM Registry
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Heydari, Bobak, Satriano, Alessandro, Jerosch-Herold, Michael, Kolm, Paul, Kim, Dong-Yun, Cheng, Kathleen, Choi, Yuna L., Antiochos, Panagiotis, White, James A., Mahmod, Masliza, Chan, Kenneth, Raman, Betty, Desai, Milind Y., Ho, Carolyn Y., Dolman, Sarahfaye F., Desvigne-Nickens, Patrice, Maron, Martin S., Friedrich, Matthias G., Schulz-Menger, Jeanette, Piechnik, Stefan K., Appelbaum, Evan, Weintraub, William S., Neubauer, Stefan, Kramer, Christopher M., and Kwong, Raymond Y.
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- 2023
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5. Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank
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Raisi-Estabragh, Zahra, McCracken, Celeste, Hann, Evan, Condurache, Dorina-Gabriela, Harvey, Nicholas C., Munroe, Patricia B., Ferreira, Vanessa M., Neubauer, Stefan, Piechnik, Stefan K., and Petersen, Steffen E.
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- 2023
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6. Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI
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Shanmuganathan, Mayooran, Masi, Ambra, Burrage, Matthew K., Kotronias, Rafail A., Borlotti, Alessandra, Scarsini, Roberto, Banerjee, Abhirup, Terentes-Printzios, Dimitrios, Zhang, Qiang, Hann, Evan, Tunnicliffe, Elizabeth, Lucking, Andrew, Langrish, Jeremy, Kharbanda, Rajesh, De Maria, Giovanni Luigi, Banning, Adrian P., Choudhury, Robin P., Channon, Keith M., Piechnik, Stefan K., and Ferreira, Vanessa M.
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- 2023
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7. Clinical Utility of Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-segment-Elevation Myocardial Infarction
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Shanmuganathan, Mayooran, primary, Nikolaidou, Chrysovalantou, additional, Burrage, Matthew K., additional, Borlotti, Alessandra, additional, Kotronias, Rafail, additional, Scarsini, Roberto, additional, Banerjee, Abhirup, additional, Terentes-Printzios, Dimitrios, additional, Pitcher, Alex, additional, Gara, Edit, additional, Langrish, Jeremy, additional, Lucking, Andrew, additional, Choudhury, Robin, additional, De Maria, Giovanni Luigi, additional, Banning, Adrian, additional, Piechnik, Stefan K., additional, Channon, Keith M., additional, and Ferreira, Vanessa M., additional
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- 2024
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8. Concurrent Left Ventricular Myocardial Diffuse Fibrosis and Left Atrial Dysfunction Strongly Predict Incident Heart Failure
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Wong, Mark Y.Z., primary, Vargas, Jose D., additional, Naderi, Hafiz, additional, Sanghvi, Mihir M., additional, Raisi-Estabragh, Zahra, additional, Suinesiaputra, Avan, additional, Bonazzola, Rodrigo, additional, Attar, Rahman, additional, Ravikumar, Nishant, additional, Hann, Evan, additional, Neubauer, Stefan, additional, Piechnik, Stefan K., additional, Frangi, Alejandro F., additional, Petersen, Steffen E., additional, and Aung, Nay, additional
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- 2024
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9. The Role of Coronary Blood Flow and Myocardial Edema in the Pathophysiology of Takotsubo Syndrome
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Couch, Liam S., primary, Thomas, Katharine E., additional, Marin, Federico, additional, Terentes-Printzios, Dimitrios, additional, Kotronias, Rafail A., additional, Chai, Jason, additional, Lukaschuk, Elena, additional, Shanmuganathan, Mayooran, additional, Kellman, Peter, additional, Langrish, Jeremy P., additional, Channon, Keith M., additional, Neubauer, Stefan, additional, Piechnik, Stefan K., additional, Ferreira, Vanessa M., additional, de Maria, Giovanni Luigi, additional, and Banning, Adrian P., additional
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- 2024
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10. Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function
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Aung, Nay, Vargas, Jose D., Yang, Chaojie, Fung, Kenneth, Sanghvi, Mihir M., Piechnik, Stefan K., Neubauer, Stefan, Manichaikul, Ani, Rotter, Jerome I., Taylor, Kent D., Lima, Joao A. C., Bluemke, David A., Kawut, Steven M., Petersen, Steffen E., and Munroe, Patricia B.
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- 2022
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11. Mitral Annular Disjunction Assessed Using CMR Imaging: Insights From the UK Biobank Population Study
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Zugwitz, Dasa, Fung, Kenneth, Aung, Nay, Rauseo, Elisa, McCracken, Celeste, Cooper, Jackie, El Messaoudi, Saloua, Anderson, Robert H., Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., and Nijveldt, Robin
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- 2022
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12. Myocardial Involvement After Hospitalization for COVID-19 Complicated by Troponin Elevation: A Prospective, Multicenter, Observational Study
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Artico, Jessica, Shiwani, Hunain, Moon, James C., Gorecka, Miroslawa, McCann, Gerry P., Roditi, Giles, Morrow, Andrew, Mangion, Kenneth, Lukaschuk, Elena, Shanmuganathan, Mayooran, Miller, Christopher A., Chiribiri, Amedeo, Prasad, Sanjay K., Adam, Robert D., Singh, Trisha, Bucciarelli-Ducci, Chiara, Dawson, Dana, Knight, Daniel, Fontana, Marianna, Manisty, Charlotte, Treibel, Thomas A., Levelt, Eylem, Arnold, Ranjit, Macfarlane, Peter W., Young, Robin, McConnachie, Alex, Neubauer, Stefan, Piechnik, Stefan K., Davies, Rhodri H., Ferreira, Vanessa M., Dweck, Marc R., Berry, Colin, Greenwood, John P., Kelly, Bernard, Goreka, Miroslawa, Somers, Kathryn, Byrom-Goulthorp, Roo J., Anderson, Michelle, Britton, Laura, Richards, Fiona, Jones, Laura M., Moss, Alastair, Fisher, Jude, Wormleighton, Joanne, Parke, Kelly, Wright, Rachel, Yeo, Jian, Falconer, Judith, Harries, Valerie, Henderson, Paula, Newby, David, Popescu, Iulia, Zhang, Qiang, Raman, Betty, Channon, Keith, Krasopoulos, Catherine, Nunes, Claudia, Da Silva Rodrigues, Liliana, Nixon, Harriet, Panopoulou, Athanasia, Fletcher, Alison, Manley, Peter, Sykes, Robert, Fallon, Kirsty, Brown, Ammani, Kelly, Laura, McGinley, Christopher, Briscoe, Michael, Woodward, Rosemary, Hopkins, Tracey, McLennan, Evonne, Tynan, Nicola, Dymock, Laura, Swoboda, Peter, Wright, Judith, Exley, Donna, Steeds, Richard, Hutton, Kady, MacDonald, Sonia, Shetye, Abhishek, Orsborne, Christopher, Woodville-Jones, William, Ferguson, Susan, Bratis, Konstantinos, Fairbairn, Timothy, Sionas, Michail, Widdows, Peris, Gee Chew, Pei, Marsden, Christian, Collins, Tom, George, Linsha, Kearney, Lisa, Flett, Andrew, Smith, Simon, Zhenge, Alice, Harvey, Jake, Inacio, Liliana, Hanam-Penfold, Tomas, Gruner, Lucy, Razvi, Yousuf S.K., Crause, Jacolene, Davies, Nina M., Brown, James T., Chaco, Liza, Patel, Rishi, Kotecha, Tushar, Knight, Dan S., Green, Thomas, Ripley, David, Thompson, Maria, Cifra, Ugochi Akerele Elna, Alskaf, Ebraham, Crawley, Richard, Villa, Adriana, Nightingale, Angus K., Wright, Kim, Bonnick, Esther D., Hopkins, Emma, George, Jessy, Joseph, Linta, Cole, Graham, Vimalesvaran, Kavitha, Ali, Nadine, Carr, Caitlin R., Ross, Alexandra A.R., King, Clara, Farzad, Zohreh, Salmi, Sara A., Kirby, Kevin, McDiarmid, Adam, Stevenson, Hannah J., Matsvimbo, Pamela S., Joji, Lency, Fearby, Margaret, Brown, Benjamin, Bunce, Nicholas, Jennings, Robert, Sookhoo, Vennessa, Joshi, Shatabdi, Kanagala, Prathap, Fullalove, Sandra, Toohey, Catherine, Fenlon, Kate, Bellenger, Nicholas, He, Jingzhou, Statton, Sarah, Pamphilon, Nicola, Steele, Anna, Ball, Claire, McGahey, Ann, Balma, Silvia, Wilkes, Lynsey, Lewis, Katy, Walter, Michelle, Ionescu, Adrian, Ninan, Tishi, Richards, Suzanne, Williams, Marie, Alfakih, Khaled, Pilgrim, Samia, Joy, George, and Hussain, Ifza
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- 2023
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13. Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data
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Gheorghiță, Bogdan A., Itu, Lucian M., Sharma, Puneet, Suciu, Constantin, Wetzl, Jens, Geppert, Christian, Ali, Mohamed Ali Asik, Lee, Aaron M., Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Schulz-Menger, Jeanette, and Chițiboi, Teodora
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- 2022
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14. Symptom Persistence Despite Improvement in Cardiopulmonary Health – Insights from longitudinal CMR, CPET and lung function testing post-COVID-19
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Cassar, Mark Philip, Tunnicliffe, Elizabeth M., Petousi, Nayia, Lewandowski, Adam J., Xie, Cheng, Mahmod, Masliza, Samat, Azlan Helmy Abd, Evans, Rachael A., Brightling, Christopher E., Ho, Ling-Pei, Piechnik, Stefan K., Talbot, Nick P., Holdsworth, David, Ferreira, Vanessa M., Neubauer, Stefan, and Raman, Betty
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- 2021
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15. Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR
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Kramer, Christopher M., DiMarco, John P., Kolm, Paul, Ho, Carolyn Y., Desai, Milind Y., Kwong, Raymond Y., Dolman, Sarahfaye F., Desvigne-Nickens, Patrice, Geller, Nancy, Kim, Dong-Yun, Maron, Martin S., Appelbaum, Evan, Jerosch-Herold, Michael, Friedrich, Matthias G., Schulz-Menger, Jeanette, Piechnik, Stefan K., Mahmod, Masliza, Jacoby, Daniel, White, James, Chiribiri, Amedeo, Helms, Adam, Choudhury, Lubna, Michels, Michelle, Bradlow, William, Salerno, Michael, Dawson, Dana K., Weinsaft, Jonathan W., Berry, Colin, Nagueh, Sherif F., Buccarelli-Ducci, Chiara, Owens, Anjali, Casadei, Barbara, Watkins, Hugh, Weintraub, William S., and Neubauer, Stefan
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- 2021
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16. Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network
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Zhang, Le, primary, Bronik, Kevin, additional, Piechnik, Stefan K., additional, Lima, Joao A C, additional, Neubauer, Stefan, additional, Petersen, Steffen E., additional, and Frangi, Alejandro F., additional
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- 2024
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17. Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease
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Thomas, Katharine E, primary, Lukaschuk, Elena, additional, Shanmuganathan, Mayooran, additional, Kitt, Jamie A, additional, Popescu, Iulia A, additional, Neubauer, Stefan, additional, Piechnik, Stefan K, additional, and Ferreira, Vanessa M, additional
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- 2023
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18. Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods
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Burrage, Matthew K., Shanmuganathan, Mayooran, Zhang, Qiang, Hann, Evan, Popescu, Iulia A., Soundarajan, Rajkumar, Chow, Kelvin, Neubauer, Stefan, Ferreira, Vanessa M., and Piechnik, Stefan K.
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- 2021
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19. Cardiovascular magnetic resonance reference values of mitral and tricuspid annular dimensions: the UK Biobank cohort
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Ricci, Fabrizio, Aung, Nay, Gallina, Sabina, Zemrak, Filip, Fung, Kenneth, Bisaccia, Giandomenico, Paiva, Jose Miguel, Khanji, Mohammed Y., Mantini, Cesare, Palermi, Stefano, Lee, Aaron M., Piechnik, Stefan K., Neubauer, Stefan, and Petersen, Steffen E.
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- 2021
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20. Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease.
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Thomas, Katharine E, Lukaschuk, Elena, Shanmuganathan, Mayooran, Kitt, Jamie A, Popescu, Iulia A, Neubauer, Stefan, Piechnik, Stefan K, and Ferreira, Vanessa M
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MYOCARDIUM physiology ,REFERENCE values ,AGE distribution ,MAGNETIC resonance imaging ,SIMULATION methods in education ,SEX distribution ,HEART beat ,DESCRIPTIVE statistics ,RESEARCH funding ,DIAGNOSTIC errors - Abstract
Aims Cardiovascular magnetic resonance parametric mapping enables non-invasive quantitative myocardial tissue characterization. Human myocardium has normal ranges of T1 and T2 values, deviation from which may indicate disease or change in physiology. Normal myocardial T1 and T2 values are affected by biological sex. Consequently, normal ranges created with insufficient numbers of each sex may result in sampling biases, misclassification of healthy values vs. disease, and even misdiagnoses. In this study, we investigated the impact of using male normal ranges for classifying female cases as normal or abnormal (and vice versa). Methods and results One hundred and forty-two healthy volunteers (male and female) were scanned on two Siemens 3T MR systems, providing averaged global myocardial T1 and T2 values on a per-subject basis. The Monte Carlo method was used to generate simulated normal ranges from these values to estimate the statistical accuracy of classifying healthy female or male cases correctly as 'normal' when using sex-specific vs. mixed-sex normal ranges. The normal male and female T1- and T2-mapping values were significantly different by sex, after adjusting for age and heart rate. Conclusion Using 15 healthy volunteers who are not sex specific to establish a normal range resulted in a typical misclassification of up to 36% of healthy females and 37% of healthy males as having abnormal T1 values and up to 16% of healthy females and 12% of healthy males as having abnormal T2 values. This paper highlights the potential adverse impact on diagnostic accuracy that can occur when local normal ranges contain insufficient numbers of both sexes. Sex-specific reference ranges should thus be routinely adopted in clinical practice. [ABSTRACT FROM AUTHOR]
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- 2024
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21. Association between subclinical atherosclerosis and cardiac structure and function—results from the UK Biobank Study
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Simon, Judit, primary, Fung, Kenneth, additional, Raisi-Estabragh, Zahra, additional, Aung, Nay, additional, Khanji, Mohammed Y, additional, Zsarnóczay, Emese, additional, Merkely, Béla, additional, Munroe, Patricia B, additional, Harvey, Nicholas C, additional, Piechnik, Stefan K, additional, Neubauer, Stefan, additional, Leeson, Paul, additional, Petersen, Steffen E, additional, and Maurovich-Horvat, Pál, additional
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- 2023
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22. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank
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Elghazaly, Hussein, primary, McCracken, Celeste, additional, Szabo, Liliana, additional, Malcolmson, James, additional, Manisty, Charlotte H, additional, Davies, Alun H, additional, Piechnik, Stefan K, additional, Harvey, Nicholas C, additional, Neubauer, Stefan, additional, Mohiddin, Saidi A, additional, Petersen, Steffen E, additional, and Raisi-Estabragh, Zahra, additional
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- 2023
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23. Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
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Ng, Matthew, primary, Guo, Fumin, additional, Biswas, Labonny, additional, Petersen, Steffen E., additional, Piechnik, Stefan K., additional, Neubauer, Stefan, additional, and Wright, Graham, additional
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- 2023
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24. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank
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Elghazaly, Hussein, McCracken, Celeste, Szabo, Liliana, Malcomson, James M., Manisty, Charlotte H, Davies, Alun H, Piechnik, Stefan K., Harvey, Nicholas, Neubauer, Stefan, Mohiddin, Saidi A., Petersen, Steffen E., and Raisi-Estabragh, Zahra
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Aims: to describe hypertension-related cardiovascular magnetic resonance (CMR) phenotypes in the UK Biobank considering variations across patient populations.Methods and results: we studied 39,095 (51.5% women, mean age: 63.9±7.7 years, 38.6% hypertensive) participants with CMR data available. Hypertension status was ascertained through health record linkage. Associations between hypertension and CMR metrics were estimated using multivariable linear regression adjusting for major vascular risk factors. Stratified analyses were performed by sex, ethnicity, time since hypertension diagnosis, and blood pressure (BP) control. Results are standardized beta coefficients, 95% confidence intervals (CIs), and p-values corrected for multiple testing. Hypertension was associated with concentric left ventricular (LV) hypertrophy (increased LV mass, wall thickness, concentricity index), poorer LV function (lower global function index, worse global longitudinal strain), larger left atrial (LA) volumes, lower LA ejection fraction, and lower aortic distensibility. Hypertension was linked to significantly lower myocardial native T1 and increased LV ejection fraction. Women had greater hypertension-related reduction in aortic compliance than men. The degree of hypertension-related LV hypertrophy was greatest in Black ethnicities. Increasing time since diagnosis of hypertension was linked to adverse remodelling. Hypertension-related remodelling was substantially attenuated in hypertensives with good BP control.Conclusions: hypertension was associated with concentric LV hypertrophy, reduced LV function, dilated poorer functioning LA, and reduced aortic compliance. Whilst the overall pattern of remodelling was consistent across populations, women had greater hypertension-related reduction in aortic compliance and Black ethnicities showed the greatest LV mass increase. Importantly, adverse cardiovascular remodelling was markedly attenuated in hypertensives with good BP control.
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- 2023
25. 3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy
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Heydari, Bobak, primary, Satriano, Alessandro, additional, Jerosch-Herold, Michael, additional, Kolm, Paul, additional, Kim, Dong-Yun, additional, Cheng, Kathleen, additional, Choi, Yuna L., additional, Antiochos, Panagiotis, additional, White, James A., additional, Mahmod, Masliza, additional, Chan, Kenneth, additional, Raman, Betty, additional, Desai, Milind Y., additional, Ho, Carolyn Y., additional, Dolman, Sarahfaye F., additional, Desvigne-Nickens, Patrice, additional, Maron, Martin S., additional, Friedrich, Matthias G., additional, Schulz-Menger, Jeanette, additional, Piechnik, Stefan K., additional, Appelbaum, Evan, additional, Weintraub, William S., additional, Neubauer, Stefan, additional, Kramer, Christopher M., additional, and Kwong, Raymond Y., additional
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- 2022
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26. Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy
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Hermida, Uxio, primary, Stojanovski, David, additional, Raman, Betty, additional, Ariga, Rina, additional, Young, Alistair A, additional, Carapella, Valentina, additional, Carr-White, Gerry, additional, Lukaschuk, Elena, additional, Piechnik, Stefan K, additional, Kramer, Christopher M, additional, Desai, Milind Y, additional, Weintraub, William S, additional, Neubauer, Stefan, additional, Watkins, Hugh, additional, and Lamata, Pablo, additional
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- 2022
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27. Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank
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Raisi-Estabragh, Zahra, primary, McCracken, Celeste, additional, Hann, Evan, additional, Condurache, Dorina-Gabriela, additional, Harvey, Nicholas C., additional, Munroe, Patricia B., additional, Ferreira, Vanessa M., additional, Neubauer, Stefan, additional, Piechnik, Stefan K., additional, and Petersen, Steffen E., additional
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- 2022
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28. Acute vasodilator response testing in the adult Fontan circulation using non-invasive 4D Flow MRI: a proof-of-principle study
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McConnell, Benjamin, primary, Stoll, Victoria M., additional, Panayiotou, Hannah, additional, Piechnik, Stefan K., additional, Neubauer, Stefan, additional, van der Geest, Rob J., additional, Myerson, Saul G., additional, Orchard, Elizabeth, additional, and Bissell, Malenka M., additional
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- 2022
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29. Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.
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Hermida, Uxio, Stojanovski, David, Raman, Betty, Ariga, Rina, Young, Alistair A, Carapella, Valentina, Carr-White, Gerry, Lukaschuk, Elena, Piechnik, Stefan K, Kramer, Christopher M, Desai, Milind Y, Weintraub, William S, Neubauer, Stefan, Watkins, Hugh, and Lamata, Pablo
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LEFT heart ventricle ,EVALUATION of medical care ,THREE-dimensional imaging ,MYOCARDIUM ,CARDIAC hypertrophy ,LEFT ventricular hypertrophy ,MAGNETIC resonance imaging ,HUMAN anatomical models ,MANN Whitney U Test ,T-test (Statistics) ,VENTRICULAR outflow obstruction ,GENOTYPES ,RESEARCH funding ,DESCRIPTIVE statistics ,CHI-squared test ,STATISTICAL models ,PHENOTYPES ,VASCULAR remodeling - Abstract
Aims Obstructive hypertrophic cardiomyopathy (oHCM) is characterized by dynamic obstruction of the left ventricular (LV) outflow tract (LVOT). Although this may be mediated by interplay between the hypertrophied septal wall, systolic anterior motion of the mitral valve, and papillary muscle abnormalities, the mechanistic role of LV shape is still not fully understood. This study sought to identify the LV end-diastolic morphology underpinning oHCM. Methods and results Cardiovascular magnetic resonance images from 2398 HCM individuals were obtained as part of the NHLBI HCM Registry. Three-dimensional LV models were constructed and used, together with a principal component analysis, to build a statistical shape model capturing shape variations. A set of linear discriminant axes were built to define and quantify (Z -scores) the characteristic LV morphology associated with LVOT obstruction (LVOTO) under different physiological conditions and the relationship between LV phenotype and genotype. The LV remodelling pattern in oHCM consisted not only of basal septal hypertrophy but a combination with LV lengthening, apical dilatation, and LVOT inward remodelling. Salient differences were observed between obstructive cases at rest and stress. Genotype negative cases showed a tendency towards more obstructive phenotypes both at rest and stress. Conclusions LV anatomy underpinning oHCM consists of basal septal hypertrophy, apical dilatation, LV lengthening, and LVOT inward remodelling. Differences between oHCM cases at rest and stress, as well as the relationship between LV phenotype and genotype, suggest different mechanisms for LVOTO. Proposed Z -scores render an opportunity of redefining management strategies based on the relationship between LV anatomy and LVOTO. [ABSTRACT FROM AUTHOR]
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- 2023
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30. Acute vasodilator response testing in the adult Fontan circulation using non-invasive 4D Flow MRI: a proof-of-principle study
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McConnell, Benjamin, Stoll, Victoria M., Panayiotou, Hannah, Piechnik, Stefan K., Neubauer, Stefan, van der Geest, Rob J., Myerson, Saul G., Orchard, Elizabeth, and Bissell, Malenka M.
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AbstractBackground:Pulmonary vasodilator therapy in Fontan patients can improve exercise tolerance. We aimed to assess the potential for non-invasivetesting of acute vasodilator response using four-dimensional (D) flow MRI during oxygen inhalation.Materials and Methods:Six patients with well-functioning Fontan circulations were prospectively recruited and underwent cardiac MRI. Ventricular anatomical imaging and 4D Flow MRI were acquired at baseline and during inhalation of oxygen. Data were compared with six age-matched healthy volunteers with 4D Flow MRI scans acquired at baseline.Results:All six patients tolerated the MRI scan well. The dominant ventricle had a left ventricular morphology in all cases. On 4D Flow MRI assessment, two patients (Patients 2 and 6) showed improved cardiac filling with improved preload during oxygen administration, increased mitral inflow, increased maximum E-wave kinetic energy, and decreased systolic peak kinetic energy. Patient 1 showed improved preload only. Patient 5 showed no change, and patient 3 had equivocal results. Patient 4, however, showed a decrease in preload and cardiac filling/function with oxygen.Discussion:Using oxygen as a pulmonary vasodilator to assess increased pulmonary venous return as a marker for positive acute vasodilator response would provide pre-treatment assessment in a more physiological state – the awake patient. This proof-of-concept study showed that it is well tolerated and has shown changes in some stable patients with a Fontan circulation.
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- 2023
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31. Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation
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Puyol-Antón, Esther, primary, Ruijsink, Bram, additional, Mariscal Harana, Jorge, additional, Piechnik, Stefan K., additional, Neubauer, Stefan, additional, Petersen, Steffen E., additional, Razavi, Reza, additional, Chowienczyk, Phil, additional, and King, Andrew P., additional
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- 2022
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32. Light to moderate coffee consumption is associated with lower risk of death: a UK Biobank study
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Simon, Judit, primary, Fung, Kenneth, additional, Raisi-Estabragh, Zahra, additional, Aung, Nay, additional, Khanji, Mohammed Y, additional, Kolossváry, Márton, additional, Merkely, Béla, additional, Munroe, Patricia B, additional, Harvey, Nicholas C, additional, Piechnik, Stefan K, additional, Neubauer, Stefan, additional, Petersen, Steffen E, additional, and Maurovich-Horvat, Pál, additional
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- 2022
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33. Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds
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Chen, Xiang, primary, Ravikumar, Nishant, additional, Xia, Yan, additional, Attar, Rahman, additional, Diaz-Pinto, Andres, additional, Piechnik, Stefan K, additional, Neubauer, Stefan, additional, Petersen, Steffen E, additional, and Frangi, Alejandro F, additional
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- 2021
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34. MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
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Gonzales, Ricardo A., primary, Zhang, Qiang, additional, Papież, Bartłomiej W., additional, Werys, Konrad, additional, Lukaschuk, Elena, additional, Popescu, Iulia A., additional, Burrage, Matthew K., additional, Shanmuganathan, Mayooran, additional, Ferreira, Vanessa M., additional, and Piechnik, Stefan K., additional
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- 2021
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35. 9 Identification of thirty novel loci for cardiovascular magnetic resonance derived aortic distensibility in the UK Biobank
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Fung, Kenneth, primary, Biasiolli, Luca, additional, Hann, Evan, additional, Lukaschuk, Elena, additional, Ramírez, Julia, additional, Duijvenboden, Stefan van, additional, Aung, Nay, additional, Paiva, Jose M, additional, Sanghvi, Mihir M, additional, Thomson, Ross J, additional, Lee, Aaron M, additional, Piechnik, Stefan K, additional, Neubauer, Stefan, additional, Petersen, Steffen E, additional, and Munroe, Patricia B, additional
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- 2021
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36. Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.
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Zhang, Qiang, Burrage, Matthew K., Shanmuganathan, Mayooran, Gonzales, Ricardo A., Lukaschuk, Elena, Thomas, Katharine E., Mills, Rebecca, Leal Pelado, Joana, Nikolaidou, Chrysovalantou, Popescu, Iulia A., Lee, Yung P., Zhang, Xinheng, Dharmakumar, Rohan, Myerson, Saul G., Rider, Oliver, Channon, Keith M., Neubauer, Stefan, Piechnik, Stefan K., Ferreira, Vanessa M., and Oxford Acute Myocardial Infarction (OxAMI) Study
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- 2022
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37. Sex-specific associations between alcohol consumption, cardiac morphology, and function as assessed by magnetic resonance imaging: insights form the UK Biobank Population Study.
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Simon, Judit, Fung, Kenneth, Kolossváry, Márton, Sanghvi, Mihir M., Aung, Nay, Paiva, Jose Miguel, Lukaschuk, Elena, Carapella, Valentina, Merkely, Béla, Bittencourt, Marcio S., Karády, Júlia, Lee, Aaron M., Piechnik, Stefan K., Neubauer, Stefan, Maurovich-Horvat, Pál, and Petersen, Steffen E.
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HEART anatomy ,HEART radiography ,HEART physiology ,CONFIDENCE intervals ,MULTIVARIATE analysis ,MAGNETIC resonance imaging ,REGRESSION analysis ,ALCOHOL drinking ,DESCRIPTIVE statistics ,DATA analysis software ,LONGITUDINAL method - Abstract
Aims Data regarding the effects of regular alcohol consumption on cardiac anatomy and function are scarce. Therefore, we sought to determine the relationship between regular alcohol intake and cardiac structure and function as evaluated with cardiac magnetic resonance imaging. Methods and results Participants of the UK Biobank who underwent cardiac magnetic resonance were enrolled in our analysis. Data regarding regular alcohol consumption were obtained from questionnaires filled in by the study participants. Exclusion criteria were poor image quality, missing, or incongruent data regarding alcohol drinking habits, prior drinking, presence of heart failure or angina, and prior myocardial infarction or stroke. Overall, 4335 participants (61.5 ± 7.5 years, 47.6% male) were analysed. We used multivariate linear regression models adjusted for age, ethnicity, body mass index, smoking, hypertension, diabetes mellitus, physical activity, cholesterol level, and Townsend deprivation index to examine the relationship between regular alcohol intake and cardiac structure and function. In men, alcohol intake was independently associated with marginally increased left ventricular end-diastolic volume [ β = 0.14; 95% confidence interval (CI) = 0.05–0.24; P = 0.004], left ventricular stroke volume (β = 0.08; 95% CI = 0.03–0.14; P = 0.005), and right ventricular stroke volume (β = 0.08; 95% CI = 0.02–0.13; P = 0.006). In women, alcohol consumption was associated with increased left atrium volume (β = 0.14; 95% CI = 0.04–0.23; P = 0.006). Conclusion Alcohol consumption is independently associated with a marginal increase in left and right ventricular volumes in men, but not in women, whereas alcohol intake showed an association with increased left atrium volume in women. Our results suggest that there is only minimal relationship between regular alcohol consumption and cardiac morphology and function in an asymptomatic middle-aged population. [ABSTRACT FROM AUTHOR]
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- 2021
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38. Clinical Significance of Myocardial Injury in Patients Hospitalized for COVID-19: A Prospective, Multicenter, Cohort Study.
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Shiwani H, Artico J, Moon JC, Gorecka M, McCann GP, Roditi G, Morrow A, Mangion K, Lukaschuk E, Shanmuganathan M, Miller CA, Chiribiri A, Alzahir M, Ramirez S, Lin A, Swoboda PP, McDiarmid AK, Sykes R, Singh T, Bucciarelli-Ducci C, Dawson D, Fontana M, Manisty C, Treibel TA, Levelt E, Arnold R, Young R, McConnachie A, Neubauer S, Piechnik SK, Davies RH, Ferreira VM, Dweck MR, Berry C, and Greenwood JP
- Abstract
Background: Hospitalized COVID-19 patients with troponin elevation have a higher prevalence of cardiac abnormalities than control individuals. However, the progression and impact of myocardial injury on COVID-19 survivors remain unclear., Objectives: This study sought to evaluate myocardial injury in COVID-19 survivors with troponin elevation with baseline and follow-up imaging and to assess medium-term outcomes., Methods: This was a prospective, longitudinal cohort study in 25 United Kingdom centers (June 2020 to March 2021). Hospitalized COVID-19 patients with myocardial injury underwent cardiac magnetic resonance (CMR) scans within 28 days and 6 months postdischarge. Outcomes were tracked for 12 months, with quality of life surveys (EuroQol-5 Dimension and 36-Item Short Form surveys) taken at discharge and 6 months., Results: Of 342 participants (median age: 61.3 years; 71.1% male) with baseline CMR, 338 had a 12-month follow-up, 235 had a 6-month CMR, and 215 has baseline and follow-up quality of life surveys. Of 338 participants, within 12 months, 1.2% died; 1.8% had new myocardial infarction, acute coronary syndrome, or coronary revascularization; 0.8% had new myopericarditis; and 3.3% had other cardiovascular events requiring hospitalization. At 6 months, there was a minor improvement in left ventricular ejection fraction (1.8% ± 1.0%; P < 0.001), stable right ventricular ejection fraction (0.4% ± 0.8%; P = 0.50), no change in myocardial scar pattern or volume (P = 0.26), and no imaging evidence of continued myocardial inflammation. All pericardial effusions (26 of 26) resolved, and most pneumonitis resolved (95 of 101). EuroQol-5 Dimension scores indicated an overall improvement in quality of life (P < 0.001)., Conclusions: Myocardial injury in severe hospitalized COVID-19 survivors is nonprogressive. Medium-term outcomes show a low incidence of major adverse cardiovascular events and improved quality of life. (COVID-19 Effects on the Heart; ISRCTN58667920)., Competing Interests: Funding Support and Author Disclosures This work was supported by NIHR (National Institute for Health and Care Research) and UK Research and Innovation (COV0254). West Yorkshire and Humber Clinical Research Network (CV070) funded the patient information leaflet translation. Dr Berry has received British Heart Foundation support (RE/18/6134217). Dr Artico received funding from the European Association of Cardiovascular Imaging (EACVI Research Grant App000073878). Dr McCann is funded by a NIHR Research Professorship (RP-2017-08-ST2-007). Dr Manisty is funded by a NIHR Clinician Scientist Award (CS-2015-15-003). Drs Ferreira, Piechnik, and Neubauer acknowledge the NIHR Oxford BRC for support of this study. Dr Bucciarelli-Ducci is in part supported by the NIHR Biomedical Research Centre at University Hospitals Bristol NHS (National Health Service) Foundation Trust and the University of Bristol. Additional support was provided by the NIHR Leicester Biomedical Research Centre and the NIHR Leeds Clinical Research Facility. Dr Dweck is supported by the British Heart Foundation (FS/SCRF/21/32010). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health and Social Care. Dr Moon has served on Advisory Boards for Sanofi and Genzyme. Dr Miller has served on Advisory Boards for Novartis, Boehringer Ingelheim and Lilly Alliance, and AstraZeneca; serves as an advisor for HAYA Therapeutics and PureTech Health; and has received research support from Amicus Therapeutics, Guerbet Laboratories Limited, Roche, and Univar Solutions B.V. Dr Bucciarelli-Ducci is the chief executive officer (part-time) of the Society for Magnetic Resonance. Dr Berry is employed by the University of Glasgow, which holds research and/or consultancy agreements with AstraZeneca, Abbott Vascular, Boehringer Ingelheim, GlaxoSmithKline, HeartFlow, Opsens, and Novartis. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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39. Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease.
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Thomas KE, Lukaschuk E, Shanmuganathan M, Kitt JA, Popescu IA, Neubauer S, Piechnik SK, and Ferreira VM
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- Humans, Male, Female, Reference Values, Predictive Value of Tests, Reproducibility of Results, Myocardium pathology, Magnetic Resonance Spectroscopy, Magnetic Resonance Imaging, Cine methods, Heart physiology, Magnetic Resonance Imaging methods
- Abstract
Aims: Cardiovascular magnetic resonance parametric mapping enables non-invasive quantitative myocardial tissue characterization. Human myocardium has normal ranges of T1 and T2 values, deviation from which may indicate disease or change in physiology. Normal myocardial T1 and T2 values are affected by biological sex. Consequently, normal ranges created with insufficient numbers of each sex may result in sampling biases, misclassification of healthy values vs. disease, and even misdiagnoses. In this study, we investigated the impact of using male normal ranges for classifying female cases as normal or abnormal (and vice versa)., Methods and Results: One hundred and forty-two healthy volunteers (male and female) were scanned on two Siemens 3T MR systems, providing averaged global myocardial T1 and T2 values on a per-subject basis. The Monte Carlo method was used to generate simulated normal ranges from these values to estimate the statistical accuracy of classifying healthy female or male cases correctly as 'normal' when using sex-specific vs. mixed-sex normal ranges. The normal male and female T1- and T2-mapping values were significantly different by sex, after adjusting for age and heart rate., Conclusion: Using 15 healthy volunteers who are not sex specific to establish a normal range resulted in a typical misclassification of up to 36% of healthy females and 37% of healthy males as having abnormal T1 values and up to 16% of healthy females and 12% of healthy males as having abnormal T2 values. This paper highlights the potential adverse impact on diagnostic accuracy that can occur when local normal ranges contain insufficient numbers of both sexes. Sex-specific reference ranges should thus be routinely adopted in clinical practice., Competing Interests: Conflict of interest: S.K.P. has patent authorship rights for US patent US20120078084A1: ‘System and methods for shortened Look-Locker inversion recovery (Sh-MOLLI) cardiac gated mapping of T1’, granted on 15 March 2016. S.K.P., I.A.P., and V.M.F. have authorship rights for patent pending PCT/GB2020/051189: ‘A method for identity validation and quality assurance of quantitative magnetic resonance imaging protocols’, filed on 15 May 2020. IPs are owned and managed by Oxford University Innovations., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2024
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40. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank.
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Elghazaly H, McCracken C, Szabo L, Malcolmson J, Manisty CH, Davies AH, Piechnik SK, Harvey NC, Neubauer S, Mohiddin SA, Petersen SE, and Raisi-Estabragh Z
- Subjects
- Male, Humans, Female, Middle Aged, Aged, Hypertrophy, Left Ventricular diagnostic imaging, Hypertrophy, Left Ventricular epidemiology, Hypertrophy, Left Ventricular complications, Ventricular Function, Left, Heart Atria, Phenotype, United Kingdom epidemiology, Biological Specimen Banks, Hypertension diagnostic imaging, Hypertension epidemiology, Hypertension complications
- Abstract
Aims: To describe hypertension-related cardiovascular magnetic resonance (CMR) phenotypes in the UK Biobank considering variations across patient populations., Methods and Results: We studied 39 095 (51.5% women, mean age: 63.9 ± 7.7 years, 38.6% hypertensive) participants with CMR data available. Hypertension status was ascertained through health record linkage. Associations between hypertension and CMR metrics were estimated using multivariable linear regression adjusting for major vascular risk factors. Stratified analyses were performed by sex, ethnicity, time since hypertension diagnosis, and blood pressure (BP) control. Results are standardized beta coefficients, 95% confidence intervals, and P-values corrected for multiple testing. Hypertension was associated with concentric left ventricular (LV) hypertrophy (increased LV mass, wall thickness, concentricity index), poorer LV function (lower global function index, worse global longitudinal strain), larger left atrial (LA) volumes, lower LA ejection fraction, and lower aortic distensibility. Hypertension was linked to significantly lower myocardial native T1 and increased LV ejection fraction. Women had greater hypertension-related reduction in aortic compliance than men. The degree of hypertension-related LV hypertrophy was greatest in Black ethnicities. Increasing time since diagnosis of hypertension was linked to adverse remodelling. Hypertension-related remodelling was substantially attenuated in hypertensives with good BP control., Conclusion: Hypertension was associated with concentric LV hypertrophy, reduced LV function, dilated poorer functioning LA, and reduced aortic compliance. Whilst the overall pattern of remodelling was consistent across populations, women had greater hypertension-related reduction in aortic compliance and Black ethnicities showed the greatest LV mass increase. Importantly, adverse cardiovascular remodelling was markedly attenuated in hypertensives with good BP control., Competing Interests: Conflict of interest: S.E.P. provides consultancy to Cardiovascular Imaging Inc., Calgary, Alberta, Canada. The remaining authors have nothing to disclose., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2023
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41. Association between subclinical atherosclerosis and cardiac structure and function-results from the UK Biobank Study.
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Simon J, Fung K, Raisi-Estabragh Z, Aung N, Khanji MY, Zsarnóczay E, Merkely B, Munroe PB, Harvey NC, Piechnik SK, Neubauer S, Leeson P, Petersen SE, and Maurovich-Horvat P
- Abstract
Aims: Heart failure (HF) is a major health problem and early diagnosis is important. Atherosclerosis is the main cause of HF and carotid intima-media thickness (IMT) is a recognized early measure of atherosclerosis. This study aimed to investigate whether increased carotid IMT is associated with changes in cardiac structure and function in middle-aged participants of the UK Biobank Study without overt cardiovascular disease., Methods and Results: Participants of the UK Biobank who underwent CMR and carotid ultrasound examinations were included in this study. Patients with heart failure, angina, atrial fibrillation, and history of myocardial infarction or stroke were excluded. We used multivariable linear regression models adjusted for age, sex, physical activity, body mass index, body surface area, hypertension, diabetes, smoking, ethnicity, socioeconomic status, alcohol intake, and laboratory parameters. In total, 4301 individuals (61.6 ± 7.5 years, 45.9% male) were included. Multivariable linear regression analyses showed that increasing quartiles of IMT was associated with increased left and right ventricular (LV and RV) and left atrial volumes and greater LV mass. Moreover, increased IMT was related to lower LV end-systolic circumferential strain, torsion, and both left and right atrial ejection fractions (all P < 0.05)., Conclusion: Increased IMT showed an independent association over traditional risk factors with enlargement of all four cardiac chambers, decreased function in both atria, greater LV mass, and subclinical LV dysfunction. There may be additional risk stratification that can be derived from the IMT to identify those most likely to have early cardiac structural/functional changes., Competing Interests: Conflict of interest: S.E.P. provides consultancy to Cardiovascular Imaging Inc., Calgary, AB, Canada. The remaining authors have no disclosures., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2023
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42. Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images.
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Gonzales RA, Ibáñez DH, Hann E, Popescu IA, Burrage MK, Lee YP, Altun İ, Weintraub WS, Kwong RY, Kramer CM, Neubauer S, Ferreira VM, Zhang Q, and Piechnik SK
- Abstract
Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for non-invasive myocardial tissue characterisation. However, accurate segmentation of the left ventricular (LV) myocardium remains a challenge due to limited training data and lack of quality control. This study addresses these issues by leveraging generative adversarial networks (GAN)-generated virtual native enhancement (VNE) images to expand the training set and incorporating an automated quality control-driven (QCD) framework to improve segmentation reliability., Methods: A dataset comprising 4,716 LGE images (from 1,363 patients with hypertrophic cardiomyopathy and myocardial infarction) was used for development. To generate additional clinically validated data, LGE data were augmented with a GAN-based generator to produce VNE images. LV was contoured on these images manually by clinical observers. To create diverse candidate segmentations, the QCD framework involved multiple U-Nets, which were combined using statistical rank filters. The framework predicted the Dice Similarity Coefficient (DSC) for each candidate segmentation, with the highest predicted DSC indicating the most accurate and reliable result. The performance of the QCD ensemble framework was evaluated on both LGE and VNE test datasets (309 LGE/VNE images from 103 patients), assessing segmentation accuracy (DSC) and quality prediction (mean absolute error (MAE) and binary classification accuracy)., Results: The QCD framework effectively and rapidly segmented the LV myocardium (<1 s per image) on both LGE and VNE images, demonstrating robust performance on both test datasets with similar mean DSC (LGE: 0.845 ± 0.075 ; VNE: 0.845 ± 0.071 ; p = n s ). Incorporating GAN-generated VNE data into the training process consistently led to enhanced performance for both individual models and the overall framework. The quality control mechanism yielded a high performance ( MAE = 0.043 , accuracy = 0.951 ) emphasising the accuracy of the quality control-driven strategy in predicting segmentation quality in clinical settings. Overall, no statistical difference ( p = n s ) was found when comparing the LGE and VNE test sets across all experiments., Conclusions: The QCD ensemble framework, leveraging GAN-generated VNE data and an automated quality control mechanism, significantly improved the accuracy and reliability of LGE segmentation, paving the way for enhanced and accountable diagnostic imaging in routine clinical use., Competing Interests: VF, QZ, and SP have authorship rights for patent WO2021/044153 (“Enhancement of Medical Images”; granted March 11, 2021). EH, IP, VF, QZ and SP have authorship rights for patent WO/2020/161481 (“Method and Apparatus for Quality Prediction”; granted August 13, 2020). SP has patent authorship rights for US patent US20120078084A1 (“Systems and Methods for Shortened Look Locker Inversion Recovery [Sh-MOLLI] Cardiac Gated Mapping of T1”; granted March 15, 2016). DI was employed by Artificio Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Gonzales, Ibáñez, Hann, Popescu, Burrage, Lee, Altun, Weintraub, Kwong, Kramer, Neubauer, Ferreira, Zhang and Piechnik.)
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- 2023
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43. Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.
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Hermida U, Stojanovski D, Raman B, Ariga R, Young AA, Carapella V, Carr-White G, Lukaschuk E, Piechnik SK, Kramer CM, Desai MY, Weintraub WS, Neubauer S, Watkins H, and Lamata P
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- Humans, Heart Ventricles, Papillary Muscles, Hypertrophy, Hypertrophy, Left Ventricular complications, Ventricular Outflow Obstruction diagnostic imaging, Ventricular Outflow Obstruction complications, Cardiomyopathy, Hypertrophic pathology
- Abstract
Aims: Obstructive hypertrophic cardiomyopathy (oHCM) is characterized by dynamic obstruction of the left ventricular (LV) outflow tract (LVOT). Although this may be mediated by interplay between the hypertrophied septal wall, systolic anterior motion of the mitral valve, and papillary muscle abnormalities, the mechanistic role of LV shape is still not fully understood. This study sought to identify the LV end-diastolic morphology underpinning oHCM., Methods and Results: Cardiovascular magnetic resonance images from 2398 HCM individuals were obtained as part of the NHLBI HCM Registry. Three-dimensional LV models were constructed and used, together with a principal component analysis, to build a statistical shape model capturing shape variations. A set of linear discriminant axes were built to define and quantify (Z-scores) the characteristic LV morphology associated with LVOT obstruction (LVOTO) under different physiological conditions and the relationship between LV phenotype and genotype. The LV remodelling pattern in oHCM consisted not only of basal septal hypertrophy but a combination with LV lengthening, apical dilatation, and LVOT inward remodelling. Salient differences were observed between obstructive cases at rest and stress. Genotype negative cases showed a tendency towards more obstructive phenotypes both at rest and stress., Conclusions: LV anatomy underpinning oHCM consists of basal septal hypertrophy, apical dilatation, LV lengthening, and LVOT inward remodelling. Differences between oHCM cases at rest and stress, as well as the relationship between LV phenotype and genotype, suggest different mechanisms for LVOTO. Proposed Z-scores render an opportunity of redefining management strategies based on the relationship between LV anatomy and LVOTO., Competing Interests: Conflict of interest: P.L. sits at the scientific advisory board of Ultromics. The remaining authors have nothing to disclose., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2023
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44. Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19.
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Shanmuganathan M, Kotronias RA, Burrage MK, Ng Y, Banerjee A, Xie C, Fletcher A, Manley P, Borlotti A, Emfietzoglou M, Mentzer AJ, Marin F, Raman B, Tunnicliffe EM, Neubauer S, Piechnik SK, Channon KM, and Ferreira VM
- Abstract
Background: Patients with a history of COVID-19 infection are reported to have cardiac abnormalities on cardiovascular magnetic resonance (CMR) during convalescence. However, it is unclear whether these abnormalities were present during the acute COVID-19 illness and how they may evolve over time., Methods: We prospectively recruited unvaccinated patients hospitalized with acute COVID-19 ( n = 23), and compared them with matched outpatient controls without COVID-19 ( n = 19) between May 2020 and May 2021. Only those without a past history of cardiac disease were recruited. We performed in-hospital CMR at a median of 3 days (IQR 1-7 days) after admission, and assessed cardiac function, edema and necrosis/fibrosis, using left and right ventricular ejection fraction (LVEF, RVEF), T1-mapping, T2 signal intensity ratio (T2SI), late gadolinium enhancement (LGE) and extracellular volume (ECV). Acute COVID-19 patients were invited for follow-up CMR and blood tests at 6 months., Results: The two cohorts were well matched in baseline clinical characteristics. Both had normal LVEF (62 ± 7 vs. 65 ± 6%), RVEF (60 ± 6 vs. 58 ± 6%), ECV (31 ± 3 vs. 31 ± 4%), and similar frequency of LGE abnormalities (16 vs. 14%; all p > 0.05). However, measures of acute myocardial edema (T1 and T2SI) were significantly higher in patients with acute COVID-19 when compared to controls (T1 = 1,217 ± 41 ms vs. 1,183 ± 22 ms; p = 0.002; T2SI = 1.48 ± 0.36 vs. 1.13 ± 0.09; p < 0.001). All COVID-19 patients who returned for follow up ( n = 12) at 6 months had normal biventricular function, T1 and T2SI., Conclusion: Unvaccinated patients hospitalized for acute COVID-19 demonstrated CMR imaging evidence of acute myocardial edema, which normalized at 6 months, while biventricular function and scar burden were similar when compared to controls. Acute COVID-19 appears to induce acute myocardial edema in some patients, which resolves in convalescence, without significant impact on biventricular structure and function in the acute and short-term. Further studies with larger numbers are needed to confirm these findings., Competing Interests: SP has patent authorship rights for U.S. patent 9285446 B2 [systems and methods for Shortened Look Locker Inversion Recovery (Sh-MOLLI) cardiac gated mapping of T1], granted March 15, 2016; IPs are owned and managed by Oxford University Innovations. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Shanmuganathan, Kotronias, Burrage, Ng, Banerjee, Xie, Fletcher, Manley, Borlotti, Emfietzoglou, Mentzer, Marin, Raman, Oxford Acute Myocardial Infarction (OxAMI) investigators, Tunnicliffe, Neubauer, Piechnik, Channon and Ferreira.)
- Published
- 2023
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