BACKGROUND: Cardiac magnetic resonance imaging (CMR) allows for detection of fibrosis in hypertrophic cardiomyopathy (HCM) by quantification of the extracellular volume fraction (ECV). HYPOTHESIS/ OBJECTIVES: To quantify native T1 mapping and ECV in cats. We hypothesize that native T1 mapping and ECV will be significantly increased in HCM cats compared with healthy cats. ANIMALS: Seventeen healthy and 12 preclinical HCM, age-matched, client-owned cats. METHODS: Prospective observational study. Tests performed included indirect blood pressure, CBC, biochemical analysis including total thyroid, urinalysis, transthoracic echocardiogram, and CMR. Cats were considered healthy if all tests were within normal limits and a diagnosis of HCM was determined by the presence of left ventricular concentric hypertrophy ≥6 mm on echocardiography. RESULTS: There were statistically significant differences in LV mass (healthy = 5.87 g, HCM = 10.3 g, P < .0001), native T1 mapping (healthy = 1122 ms, HCM = 1209 ms, P = .004), and ECV (healthy = 26.0%, HCM = 32.6%, P < .0001). Variables of diastolic function including deceleration time of early diastolic transmitral flow (DTE), ratio between peak velocity of early diastolic transmitral flow and peak velocity of late diastolic transmitral flow (E : A), and peak velocity of late diastolic transmitral flow (A wave) were significantly correlated with ECV (DTE; r = 0.73 P = .007, E : A; r = -0.75 P = .004, A wave; r = 0.76 P = .004). CONCLUSIONS AND CLINICAL IMPORTANCE: Quantitative assessment of cardiac ECV is feasible and can provide additional information not available using echocardiography.
BACKGROUND: Cardiac magnetic resonance imaging (CMR) allows for detection of fibrosis in hypertrophic cardiomyopathy (HCM) by quantification of the extracellular volume fraction (ECV). HYPOTHESIS/ OBJECTIVES: To quantify native T1 mapping and ECV in cats. We hypothesize that native T1 mapping and ECV will be significantly increased in HCM cats compared with healthy cats. ANIMALS: Seventeen healthy and 12 preclinical HCM, age-matched, client-owned cats. METHODS: Prospective observational study. Tests performed included indirect blood pressure, CBC, biochemical analysis including total thyroid, urinalysis, transthoracic echocardiogram, and CMR. Cats were considered healthy if all tests were within normal limits and a diagnosis of HCM was determined by the presence of left ventricular concentric hypertrophy ≥6 mm on echocardiography. RESULTS: There were statistically significant differences in LV mass (healthy = 5.87 g, HCM = 10.3 g, P < .0001), native T1 mapping (healthy = 1122 ms, HCM = 1209 ms, P = .004), and ECV (healthy = 26.0%, HCM = 32.6%, P < .0001). Variables of diastolic function including deceleration time of early diastolic transmitral flow (DTE), ratio between peak velocity of early diastolic transmitral flow and peak velocity of late diastolic transmitral flow (E : A), and peak velocity of late diastolic transmitral flow (A wave) were significantly correlated with ECV (DTE; r = 0.73 P = .007, E : A; r = -0.75 P = .004, A wave; r = 0.76 P = .004). CONCLUSIONS AND CLINICAL IMPORTANCE: Quantitative assessment of cardiac ECV is feasible and can provide additional information not available using echocardiography.
Authors: Andrew S Flett; Martin P Hayward; Michael T Ashworth; Michael S Hansen; Andrew M Taylor; Perry M Elliott; Christopher McGregor; James C Moon Journal: Circulation Date: 2010-06-28 Impact factor: 29.690
Authors: Christopher T Sibley; Radwa A Noureldin; Neville Gai; Marcelo Souto Nacif; Songtao Liu; Evrim B Turkbey; James O Mudd; Rob J van der Geest; João A C Lima; Marc K Halushka; David A Bluemke Journal: Radiology Date: 2012-10-22 Impact factor: 11.105
Authors: James C C Moon; Emma Reed; Mary N Sheppard; Andrew G Elkington; Siew Yen Ho; Margaret Burke; Mario Petrou; Dudley J Pennell Journal: J Am Coll Cardiol Date: 2004-06-16 Impact factor: 24.094
Authors: Leah Iles; Heinz Pfluger; Arintaya Phrommintikul; Joshi Cherayath; Pelin Aksit; Sandeep N Gupta; David M Kaye; Andrew J Taylor Journal: J Am Coll Cardiol Date: 2008-11-04 Impact factor: 24.094
Authors: Jonathan C L Rodrigues; Tamas Erdei; Amardeep Ghosh Dastidar; Gergley Szantho; Amy E Burchell; Laura E K Ratcliffe; Emma C Hart; Angus K Nightingale; Julian F R Paton; Nathan E Manghat; Mark C K Hamilton Journal: Eur Radiol Date: 2018-09-19 Impact factor: 5.315
Authors: Philip Haaf; Pankaj Garg; Daniel R Messroghli; David A Broadbent; John P Greenwood; Sven Plein Journal: J Cardiovasc Magn Reson Date: 2016-11-30 Impact factor: 5.364
Authors: Sairia Dass; Joseph J Suttie; Stefan K Piechnik; Vanessa M Ferreira; Cameron J Holloway; Rajarshi Banerjee; Masliza Mahmod; Lowri Cochlin; Theodoros D Karamitsos; Matthew D Robson; Hugh Watkins; Stefan Neubauer Journal: Circ Cardiovasc Imaging Date: 2012-10-15 Impact factor: 7.792