Kimberly Kallianos1, Gabriel C Brooks2, Kanae Mukai2, Florent Seguro de Carvalho3, Jing Liu3, David M Naeger3, Teresa De Marco4, Karen G Ordovas3. 1. Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue M391, San Francisco, CA 94143. Electronic address: Kimberly.kallianos@ucsf.edu. 2. Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue M391, San Francisco, CA 94143; Division of Cardiology, University of California, San Francisco, San Francisco, California. 3. Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue M391, San Francisco, CA 94143. 4. Division of Cardiology, University of California, San Francisco, San Francisco, California.
Abstract
RATIONALE AND OBJECTIVES: We investigated the feasibility of detecting left ventricular (LV) cardiac magnetic resonance (CMR) strain abnormalities using feature-tracking in patients with pulmonary hypertension (PH). MATERIALS AND METHODS: CMR was performed in 16 patients with all groups of PH and in 13 controls. Global and regional peak circumferential strains (%) (which have been shown to be robust by CMR), peak diastolic strain rate (%/s), and dyssynchrony index (ms) were quantified with feature-tracking software. Ventricular function and volumes were calculated from CMR, and right heart pressures were measured with catheterization. RESULTS: Left ventricular ejection fraction (LVEF) was similar in patients (60.2% ± 11.0%) and controls (61.9% ± 4.5%), P = .150. Global LV peak circumferential strain was significantly different in patients compared to controls, -16.7 ± 2.8% vs -19.9 ± 1.8%, respectively (P = .001). The greatest difference in strain was seen in the LV septum, -11.6 ± 4.3% in patients vs -16.7 ± 4.0% in controls (P < .001). There was a significant association between septal strain and right ventricular end-diastolic volume index (P = .047) in patients with PH; however, there were no associations with pulmonary artery pressures or right ventricular ejection fraction. CONCLUSIONS: Feature-tracking CMR can detect LV strain abnormalities in patients with PH and preserved or mildly depressed LVEF, with greatest abnormality in the septum. The association between septal strain and right ventricular end-diastolic volume index suggests that ventricular interdependence may be a mechanism of LV dysfunction in PH. Feature-tracking CMR may be useful for identification of LV dysfunction before LVEF significantly declines in patients with PH. The feasibility of detecting LV strain abnormalities in patients with PH shown by this study paves the way for a variety of future investigations into the applications of LV strain in this patient population. Published by Elsevier Inc.
RATIONALE AND OBJECTIVES: We investigated the feasibility of detecting left ventricular (LV) cardiac magnetic resonance (CMR) strain abnormalities using feature-tracking in patients with pulmonary hypertension (PH). MATERIALS AND METHODS: CMR was performed in 16 patients with all groups of PH and in 13 controls. Global and regional peak circumferential strains (%) (which have been shown to be robust by CMR), peak diastolic strain rate (%/s), and dyssynchrony index (ms) were quantified with feature-tracking software. Ventricular function and volumes were calculated from CMR, and right heart pressures were measured with catheterization. RESULTS: Left ventricular ejection fraction (LVEF) was similar in patients (60.2% ± 11.0%) and controls (61.9% ± 4.5%), P = .150. Global LV peak circumferential strain was significantly different in patients compared to controls, -16.7 ± 2.8% vs -19.9 ± 1.8%, respectively (P = .001). The greatest difference in strain was seen in the LV septum, -11.6 ± 4.3% in patients vs -16.7 ± 4.0% in controls (P < .001). There was a significant association between septal strain and right ventricular end-diastolic volume index (P = .047) in patients with PH; however, there were no associations with pulmonary artery pressures or right ventricular ejection fraction. CONCLUSIONS: Feature-tracking CMR can detect LV strain abnormalities in patients with PH and preserved or mildly depressed LVEF, with greatest abnormality in the septum. The association between septal strain and right ventricular end-diastolic volume index suggests that ventricular interdependence may be a mechanism of LV dysfunction in PH. Feature-tracking CMR may be useful for identification of LV dysfunction before LVEF significantly declines in patients with PH. The feasibility of detecting LV strain abnormalities in patients with PH shown by this study paves the way for a variety of future investigations into the applications of LV strain in this patient population. Published by Elsevier Inc.
Entities:
Keywords:
Cardiac magnetic resonance; feature-tracking; left ventricular dysfunction; pulmonary hypertension; strain
Authors: Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Waren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani Journal: Int J Cardiovasc Imaging Date: 2002-02 Impact factor: 2.357
Authors: Andreas Schuster; Kan N Hor; Johannes T Kowallick; Philipp Beerbaum; Shelby Kutty Journal: Circ Cardiovasc Imaging Date: 2016-04 Impact factor: 7.792
Authors: Mariëlle C van de Veerdonk; Taco Kind; J Tim Marcus; Gert-Jan Mauritz; Martijn W Heymans; Harm-Jan Bogaard; Anco Boonstra; Koen M J Marques; Nico Westerhof; Anton Vonk-Noordegraaf Journal: J Am Coll Cardiol Date: 2011-12-06 Impact factor: 24.094
Authors: Stefano Muzzarelli; Karen G Ordovas; Giuseppe Cannavale; Alison K Meadows; Charles B Higgins Journal: Radiology Date: 2011-01-19 Impact factor: 11.105
Authors: Marlieke L A Haeck; Ulas Höke; Nina Ajmone Marsan; Eduard R Holman; Ron Wolterbeek; Jeroen J Bax; Martin J Schalij; Hubert W Vliegen; Victoria Delgado Journal: Int J Cardiovasc Imaging Date: 2014-02-04 Impact factor: 2.357
Authors: Katarina Kindberg; Henrik Haraldsson; Andreas Sigfridsson; Jan Engvall; Neil B Ingels; Tino Ebbers; Matts Karlsson Journal: BMC Med Imaging Date: 2012-04-25 Impact factor: 1.930
Authors: Samer Alabed; Pankaj Garg; Christopher S Johns; Faisal Alandejani; Yousef Shahin; Krit Dwivedi; Hamza Zafar; James M Wild; David G Kiely; Andrew J Swift Journal: Curr Cardiovasc Imaging Rep Date: 2020-11-07
Authors: Kai'En Leong; Luke Howard; Francesco Lo Giudice; Holly Pavey; Rachel Davies; Gulammehdi Haji; Simon Gibbs; Deepa Gopalan Journal: Front Cardiovasc Med Date: 2022-03-17