Ventricular function
Left Ventricle
Stroke Volume (SV)
Stroke volume is the amount of blood pumped by one ventricle during a contraction (Silverthorn et al. 2013).
Definition: Difference between EDV and ESV.
Calculation: LVSV = LVEDV − LVESV
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Reference Value (mL) Note (Kawel-Boehm et al. 2020) 410 male (103, 21) papillary muscles included in mass 432 female (83, 16) papillary muscles included in mass 832 male (91, 18) papillary muscles included in volume 1064 female (73, 13) papillary muscles included in volume (Hudsmith et al. 2005) 63 male (112, 19) 45 female (91, 17) (Aquaro et al. 2019) 25 (69, 16) (Suinesiaputra et al. 2018) 4413 (84.9, 19.2) 48% male in full cohort with size 4874 (Petersen et al. 2017) 368 male 59-132 432 female 49-100 (Le Ven et al. 2016) 196 male (112, 19) average age 26.7 years 238 female (84, 13) average age 25.8 years Clinical Associations: Stroke volume is reduced in patients with DCM (Carlsson et al. 2007) and HFpEF (Marwick 2018).
ICC: 0.76
Ejection Fraction (EF)
In addition to the stroke volume, the volume of blood ejected from the ventricle in one contraction can also be expressed in ejection fraction (EF) (Silverthorn et al. 2013). EF reflects both cardiac functional and remodeling, and is widely recognized as a valuable diagnostic and prognostic tool. Its use in a variety of settings, ranging from heart failure and myocardial infarction to valvular heart disease, has made it a cornerstone of modern cardiology. In general, EF is more informative than stroke volume as a functional marker (Marwick 2018). Patients with symptomatic heart failure (HF) can be classified into those with preserved ejection fraction (HFpEF) and those with reduced ejection fraction (HFrEF). Nevertheless, patients with HFpEF do not have normal systolic function.
Definition: The fraction of blood ejected from the left ventricle during systole (stroke volume) relative to the volume present at end-diastole (end-diastolic volume).
Calculation: LVEF = LVSV/LVEDV
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Age Reference Value (%) Note (Kawel-Boehm et al. 2020) 875 male (64, 8) papillary muscles included in mass 931 female (66, 7) papillary muscles included in mass 51 male 20-29 (60, 7) papillary muscles included in mass 105 male 30-39 (63, 7) papillary muscles included in mass 110 male 40-49 (62, 7) papillary muscles included in mass 78 male 50-59 (63, 7) papillary muscles included in mass 34 male 60-69 (62, 7) papillary muscles included in mass 43 female 20-29 (62, 6) papillary muscles included in mass 110 female 30-39 (64, 6) papillary muscles included in mass 127 female 40-49 (63, 7) papillary muscles included in mass 93 female 50-59 (65, 6) papillary muscles included in mass 41 female 60-69 (65, 6) papillary muscles included in mass 832 male (63, 6) papillary muscles included in volume 1064 female (66, 7) papillary muscles included in volume (Assadi et al. 2023) 169 (62, 11) 96 males, 73 females (Kono et al. 1991) 8 (76, 1) 5 males, 3 females (Rahimtoola et al. 1975) 10 (64, 5) (Suinesiaputra et al. 2018) 4413 (59.4, 6.4) 48% male in full cohort with size 4874 (Petersen et al. 2017) 368 male 48-69 432 female 51-70 (Hasselberg et al. 2021) 16 (64, 7) 5 males, 11 females, average age 47 years Clinical Associations:
Ejection fraction is lower in patients with pulmonary arterial hypertension (PAH) (Lindholm et al. 2022). In patients with heart failure, an EF < 35% is significantly associated with malignant arrhythmias and sudden cardiac death (SCD) (Marwick 2018). In HFrEF and ischemic heart disease, both LVEDV and LVESV may increase, leading to preserved LVSV but reduced LVEF (Marwick 2018). Higher LVEF is associated with a linear reduction in mortality up to 45% in patients with HF (Kosaraju et al. 2024). Impaired contractility, reflected by an LVEF < 40%, is a hallmark of dilated cardiomyopathy (DCM) (Mahmaljy, Yelamanchili, and Singhal 2023), while significantly reduced LVEF is also observed in cardiac amyloidosis and left ventricular non-compaction (LVNC) compared with healthy individuals (Bogunovic et al. 2022). Following myocardial infarction (MI), patients without LVEF recovery face a higher risk of SCD (Chew et al. 2018). In those with prior MI and an LVEF < 30%, implantation of an implantable cardioverter-defibrillator (ICD) is associated with a significant reduction in both SCD and all-cause mortality (Kosaraju et al. 2024). In valvular disease, LVEF is critical for decision-making. In severe mitral regurgitation (MR), an LVEF < 60% indicates abnormal LV function (Baumgartner et al. 2017). In aortic regurgitation (AR), an LVEF < 50%, together with regurgitant severity, guides surgical referral, and reduced LVEF confers poorer prognosis even in asymptomatic patients (Dujardin et al. 1999). For aortic stenosis (AS), valve replacement is recommended in asymptomatic patients with severe AS or chronic severe AR when LVEF < 50%, and mitral valve surgery is considered when LVEF ≤ 60% (Kosaraju et al. 2024). Beyond structural disease, LVEF remains the gold standard for diagnosing cardiotoxicity, defined by a value < 50% or a decline of more than 10% from baseline (Park 2019).
ICC: 0.52
Cardiac Output (CO)
Cardiac output is one of the approaches to assess the effectiveness of the heart as a pump, by measuring the volume of blood pumped by one ventricle in a given period of time, usually in 1 minute(Silverthorn et al. 2013). There are four determinants of the cardiac output: heart rate, contractility, preload and afterload (Vincent 2008): The heart rate is the simplest determinant of cardiac output, as the faster the heart beats, the more blood can be pumped over the particular period of time. Once the contractility is impaired, the cardiac output will be reduced as well. Preload refers to the degree of myocardial distension prior to shortening. As demonstrated in Frank-Starling law, the greater the stretch within certain limits, the greater the force of contraction, which will increase cardiac output. Afterload is the force against which ventricles must act in order to eject blood. Reducing afterload can increase cardiac output, especially where contractility is impaired.
Definition: Percentage of EDV ejected with one contraction
Calculation: CO = Heart Rate (HR) × LVSV
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Reference Value (L/min) Note (Kawel-Boehm et al. 2020) 91 male (5.6, 1.1) papillary muscles included in mass 89 female (4.5, 0.9) papillary muscles included in mass (Kawel-Boehm et al. 2020) 464 male (6.1, 1.1) papillary muscles included in volume 632 female (4.9, 1.0) papillary muscles included in volume ICC: 0.64
Cardiac Index (CI)
Definition: Cardiac output indexed to BSA
Calculation: CI = CO/BSA
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Reference Value (L/min/m<sup>2</sup>) Note (Kawel-Boehm et al. 2020) 91 male (3.0, 0.6) papillary muscles included in mass 89 female (2.9, 0.5) papillary muscles included in mass (Kawel-Boehm et al. 2020) 464 male (3.2, 0.6) papillary muscles included in volume 632 female (2.9, 0.5) papillary muscles included in volume (Rahimtoola et al. 1975) 10 (3.6, 0.9) Clinical Associations: Cardiac index is lower in patients with congestive HF (Carlsson et al. 2012).
ICC: 0.51
Peak Filling Rate (PFR)
Once the ventricular volume/time (V/t) curve is obtained by plotting the cavity volumes over time, the corresponding ventricular dV/dt curve can be derived. There are two positive peaks PFR-E and PFR-A, each indicating the maximum speed of passive filling and that secondary to atrial contraction respectively (Aquaro et al. 2019). Between the two peaks, a zone of almost zero speed is normally present and represents the phase of diastasis, where blood flows passively from the atria to the ventricles at a slower rate due to balanced pressures during mid-diastole.
<figure> <img src="/latex/images/ventricle/PFR.png" id="fig:PFR" alt="Volume/time (V/t) curve and dV/dt curve of left ventricle from which early peak filling rate and atrial peak filling rate can be derived (Aquaro et al. 2019)." /><figcaption aria-hidden="true">Volume/time (V/t) curve and dV/dt curve of left ventricle from which early peak filling rate and atrial peak filling rate can be derived <span>(Aquaro et al. 2019)</span>.</figcaption> </figure>
Definition: Early peak filling rate (PFR-E) is the first positive peak of the ventricular dV/dt curve. Atrial peak filling rate (PFR-A) is the second positive peak (Aquaro et al. 2019).
Acquisition Type: SAX, LAX
Reference Range:
PFR-E:
Study Cohort Size Gender Age Reference Value (mL/s) Note (Aquaro et al. 2019) 25 (375, 63) 11 males, 9 females, average age 51 years (Ruijsink et al. 2020) 304 male 45-54 239-594 384 male 55-64 202-537 241 male 65-74 167-496 297 female 45-54 231-497 322 female 55-64 207-436 213 female 65-74 179-425 (Erdei et al. 2022) 12 (581, 100) 7 males, 5 females, average age 33 years (Sharifov et al. 2023) 8 (324, 97) 6 males, 2 females (A. Maceira et al. 2006) 10 male 20-29 484-1034 10 male 30-39 392-941 10 male 40-49 299-848 10 male 50-59 206-756 10 male 60-69 114-663 10 female 20-29 393-967 10 female 30-39 312-886 10 female 40-49 231-805 10 female 50-59 150-724 10 female 60-69 69-642 (Grassedonio et al. 2015) 43 (423,29) 19 males, 24 females, average age 41 years PFR-A:
Study Cohort Size Gender Age Reference Value (mL/s) Note (Aquaro et al. 2019) 25 (177, 56) 11 males, 9 females, average age 51 years (Ruijsink et al. 2020) 304 male 45-54 77-431 384 male 55-64 102-436 241 male 65-74 63-382 297 female 45-54 54-355 322 female 55-64 73-373 213 female 65-74 82-386 (Erdei et al. 2022) 12 (220, 101) 7 males, 5 females, average age 33 years (Sharifov et al. 2023) 8 (210, 97) 6 males, 2 females (A. Maceira et al. 2006) 10 male 20-29 99-421 10 male 30-39 144-467 10 male 40-49 189-512 10 male 50-59 234-557 10 male 60-69 279-602 10 male 70-79 324-647 10 female 20-29 58-327 10 female 30-39 95-364 10 female 40-49 131-400 10 female 50-59 167-436 10 female 60-69 203-472 10 female 70-79 239-508 (Grassedonio et al. 2015) 43 (219,107) 19 males, 24 females, average age 41 years
Clinical Associations: Hypertensive patients with reduced global longitudinal strain exhibit a slower PFR-E and an increased PFR-A (Erdei et al. 2022). Reduced PFR-E is also observed in patients with familial amyloid polyneuropathy (Hongo et al. 1989) and PAH (Göransson, Vejlstrup, and Carlsen 2017).
ICC:
PFR-E: Note: 0.31
PFR-A: Note: 0.20
Right Ventricle
Stroke Volume
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Age Reference Value (mL) Note (A. M. Maceira et al. 2006) 10 male 20-29 74-143 10 male 30-39 74-142 10 male 40-49 73-141 10 male 50-59 72-140 10 male 60-69 71-139 10 male 70-79 70-138 10 female 20-29 61-112 10 female 30-39 59-111 10 female 40-49 58-109 10 female 50-59 56-108 10 female 60-69 55-106 10 female 70-79 53-105 (Kawel-Boehm et al. 2020) 896 male (95, 26) 977 female (74, 18) (Petersen et al. 2017) 368 male 62-131 432 female 48-99 ICC: 0.77
Ejection Fraction
Acquisition Type: SAX, LAX
Reference Range:
Study Cohort Size Gender Age Reference Value (%) Note (A. M. Maceira et al. 2006) 10 male 20-29 48-74 10 male 30-39 50-76 10 male 40-49 52-77 10 male 50-59 53-79 10 male 60-69 55-81 10 male 70-79 57-83 10 female 20-29 49-73 10 female 30-39 51-75 10 female 40-49 53-77 10 female 50-59 55-79 10 female 60-69 57-81 10 female 70-79 59-83 (Kawel-Boehm et al. 2020) 1069 male (57, 8) 1112 female (60, 7) 50 male 20-29 (52, 8) 55 male 30-39 (55, 7) 49 male 40-49 (57, 8) 55 male 50-59 (57, 8) 47 female 20-29 (56, 11) 51 female 30-39 (58, 9) 46 female 40-49 (60, 8) 46 female 50-59 (61, 8) (Petersen et al. 2017) 368 male 45-65 432 female 47-68 Clinical Associations: RV EF is a powerful and independent predictor of major adverse cardiac events after adjusting for covariates including LV EF, with broad generalizability across patients with known or suspected cardiovascular disease (Purmah et al. 2021). Patients with Ebstein’s anomaly tend to have lower RV EF (Lee et al. 2013).
ICC: 0.58
Peak Filling Rate
Acquisition Type: SAX, LAX
Reference Range:
PFR-E:
Study Cohort Size Gender Age Reference Value (mL/s) Note (A. M. Maceira et al. 2006) 10 male 20-29 277-814 10 male 30-39 223-760 10 male 40-49 169-706 10 male 50-59 116-652 10 male 60-69 62-599 10 male 70-79 8-545 10 female 20-29 241-701 10 female 30-39 189-649 10 female 40-49 137-598 10 female 50-59 86-546 10 female 60-69 34-494 PFR-A
Study Cohort Size Gender Age Reference Value (mL/s) Note (A. M. Maceira et al. 2006) 10 male 20-29 23-709 10 male 30-39 70-756 10 male 40-49 118-804 10 male 50-59 165-852 10 male 60-69 213-899 10 male 70-79 260-947 10 female 20-29 54-656 10 female 30-39 59-660 10 female 40-49 64-665 10 female 50-59 69-670 10 female 60-69 74-675 10 female 70-79 79-680
Strain and Strain Rate*
RV deformation can be quantified as global longitudinal strain, incorporating both the interventricular septum and the RV free wall, or as RV free wall longitudinal strain, which includes only the three free wall segments and is more commonly recommended in clinical practice (Smiseth et al. 2024). RV longitudinal strain is more sensitive to subtle myocardial dysfunction than conventional indices of RV performance such as RV EF (Muraru et al. 2022). Typically, RV deformation measures approximately 30% in the longitudinal direction and 15% in the circumferential direction, while LA deformation tends to be lower longitudinally and higher circumferentially (Muraru et al. 2022).
Acquisition Type: SAX, LAX, Tagged MRI
Reference Range: Due to the conflicting data and inter-vendor variability of segmental longitudinal strain, it is not possible to propose any reference ranges of segmental RV longitudinal strain for clinical use: A significant base-to-apex segmental strain gradient is observed in the RV free wall in children and in one adult study, while other studies with adult population found all segments of RV free wall having similar RV LS values. Conversely, basal segments are reported as having either the highest or the lowest values among the three RV free wall segments. (Muraru et al. 2022).
Reported normal values can be found in (Fine et al. 2013), (Chia et al. 2014), (McGhie et al. 2017), (Morris et al. 2017) (Park et al. 2018) and (Addetia et al. 2021)
Clinical Associations: The longitudinal and circumferential RV strains are reduced in patients with TOF (Kempny et al. 2012). The reduced RV longitudinal strain is associated with higher risk of mortality for patients with PAH or idiopathic pulmonary fibrosis, and also signals acute pulmonary embolism (PE), RV failure as well as RV myocardial fibrosis (Park 2019).
In heart failure, RV LS reflects systolic performance and predicts adverse outcomes, including RV failure after left ventricular assist device implantation and poor prognosis in DCM caused by lamin A/C mutations. In arrhythmogenic cardiomyopathy (ACM), RV LS identifies early RV involvement, enhances risk stratification for ventricular arrhythmias, and detects asymptomatic mutation carriers. Reduced RV LS is also observed in athletes with ventricular arrhythmias, mimicking ACM-like remodeling patterns. In pulmonary hypertension (PH), RV LS serves as an independent predictor of functional capacity, RV failure, and survival. In systemic sclerosis (SSc), regional RV LS abnormalities, particularly a basal–apical gradient, are linked to pulmonary fibrosis and PH, even when overall RV function appears preserved. In valvular heart disease, RV LS impairment is common in AS, especially in low-flow, low-gradient AS with reduced LV EF, where it independently predicts mortality. In patients undergoing transcatheter aortic valve replacement (TAVR), pre-procedural reduction in RV LS is associated with low cardiac output and worse post-interventional outcomes. In mitral regurgitation (MR), impaired RV LS relates to elevated pulmonary pressures and worse prognosis after surgery; post-operative recovery of RV LS predicts myocardial recovery and lower risk of heart failure hospitalization. In tricuspid regurgitation (TR), reduced RV LS independently predicts long-term survival and post-operative outcomes, even beyond TR severity. In congenital heart disease, RV LS reflects altered loading conditions and adaptive remodeling: it decreases after atrial septal defect (ASD) closure due to reduced volume load, and in repaired tetralogy of Fallot (TOF), impaired RV LS correlates with pulmonary regurgitation severity and reduced exercise capacity. In patients with transposition of the great arteries (TGA) or congenitally corrected TGA, RV LS is an independent predictor of adverse events, including symptomatic deterioration and arrhythmias (Muraru et al. 2022).
<figure> <img src="/latex/images/strain/RV_strain_disease.png" id="fig:RV_strain_disease" alt="Additive value of RV LS to conventional parameters of RV systolic function in different clinical settings (Muraru et al. 2022)." /><figcaption aria-hidden="true">Additive value of RV LS to conventional parameters of RV systolic function in different clinical settings <span>(Muraru et al. 2022)</span>.</figcaption> </figure>
<div id="refs" class="references csl-bib-body hanging-indent">
<div id="ref-addetiaTwoDimensionalEchocardiographicRight2021" class="csl-entry">
Addetia, Karima, Tatsuya Miyoshi, Rodolfo Citro, Masao Daimon, Pedro Gutierrez Fajardo, Ravi R. Kasliwal, James N. Kirkpatrick, et al. 2021. “Two-Dimensional Echocardiographic Right Ventricular Size and Systolic Function Measurements Stratified by Sex, Age, and Ethnicity: Results of the World Alliance of Societies of Echocardiography Study.” Journal of the American Society of Echocardiography 34 (11): 1148–1157.e1. https://doi.org/10.1016/j.echo.2021.06.013.
</div>
<div id="ref-aquaroDiastolicDysfunctionEvaluated2019" class="csl-entry">
Aquaro, Giovanni Donato, Fausto Pizzino, Anna Terrizzi, Scipione Carerj, Bijoy K. Khandheria, and Gianluca Di Bella. 2019. “Diastolic Dysfunction Evaluated by Cardiac Magnetic Resonance: The Value of the Combined Assessment of Atrial and Ventricular Function.” European Radiology 29 (3): 1555–64.
</div>
<div id="ref-assadiCardiacMRModelling2023" class="csl-entry">
Assadi, Hosamadin, Gareth Matthews, Xiaodan Zhao, Rui Li, Samer Alabed, Ciaran Grafton-Clarke, Zia Mehmood, et al. 2023. “Cardiac MR Modelling of Systolic and Diastolic Blood Pressure.” Open Heart 10 (2): e002484.
</div>
<div id="ref-baumgartner2017ESCEACTS2017" class="csl-entry">
Baumgartner, Helmut, Volkmar Falk, Jeroen J Bax, Michele De Bonis, Christian Hamm, Per Johan Holm, Bernard Iung, et al. 2017. “2017 ESC/EACTS Guidelines for the Management of Valvular Heart Disease.” European Heart Journal 38 (36): 2739–91.
</div>
<div id="ref-bogunovicMultiparametricSpeckleTracking2022" class="csl-entry">
Bogunovic, Nikola, Martin Farr, Lukas Pirl, Cornelia Piper, Volker Rudolph, and Fabian Roder. 2022. “Multi-Parametric Speckle Tracking Analyses to Characterize Cardiac Amyloidosis: A Comparative Study of Systolic Left Ventricular Longitudinal Myocardial Mechanics.” Heart and Vessels 37 (9): 1526–40.
</div>
<div id="ref-carlssonCardiacOutputCardiac2012" class="csl-entry">
Carlsson, Marcus, Ruslana Andersson, Karin Markenroth Bloch, Katarina Steding-Ehrenborg, Henrik Mosén, Freddy Stahlberg, Bjorn Ekmehag, and Hakan Arheden. 2012. “Cardiac Output and Cardiac Index Measured with Cardiovascular Magnetic Resonance in Healthy Subjects, Elite Athletes and Patients with Congestive Heart Failure.” Journal of Cardiovascular Magnetic Resonance 14 (1): 50.
</div>
<div id="ref-carlssonAtrioventricularPlaneDisplacement2007" class="csl-entry">
Carlsson, Marcus, Martin Ugander, Henrik Mosén, Torsten Buhre, and Hakan Arheden. 2007. “Atrioventricular Plane Displacement Is the Major Contributor to Left Ventricular Pumping in Healthy Adults, Athletes, and Patients with Dilated Cardiomyopathy.” American Journal of Physiology-Heart and Circulatory Physiology 292 (3): H1452–59.
</div>
<div id="ref-chewChangeLeftVentricular2018" class="csl-entry">
Chew, Derek S., Huikuri Heikki, Georg Schmidt, Katherine M. Kavanagh, Michael Dommasch, Poul Erik Bloch Thomsen, Daniel Sinnecker, Pekka Raatikainen, and Derek V. Exner. 2018. “Change in Left Ventricular Ejection Fraction Following First Myocardial Infarction and Outcome.” JACC: Clinical Electrophysiology 4 (5): 672–82.
</div>
<div id="ref-chiaEffectsAgeGender2014" class="csl-entry">
Chia, Ee-May, Calvin Hc. Hsieh, Anita Boyd, Phuong Pham, Jane Vidaic, Dominic Leung, and Liza Thomas. 2014. “Effects of Age and Gender on Right Ventricular Systolic and Diastolic Function Using Two-Dimensional Speckle-Tracking Strain.” Journal of the American Society of Echocardiography 27 (10): 1079–1086.e1. https://doi.org/10.1016/j.echo.2014.06.007.
</div>
<div id="ref-dujardinMortalityMorbidityAortic1999" class="csl-entry">
Dujardin, Karl S., Maurice Enriquez-Sarano, Hartzell V. Schaff, Kent R. Bailey, James B. Seward, and A. Jamil Tajik. 1999. “Mortality and Morbidity of Aortic Regurgitation in Clinical Practice: A Long-Term Follow-Up Study.” Circulation 99 (14): 1851–57.
</div>
<div id="ref-erdeiEffectLeftVentricular2022" class="csl-entry">
Erdei, T., J. C. L. Rodrigues, R. Hartley-Davies, A. G. Dastidar, G. V. Szantho, E. C. Hart, A. K. Nightingale, N. E. Manghat, and M. C. K. Hamilton. 2022. “The Effect of Left Ventricular Longitudinal Strain on Left Atrial Function and Ventricular Filling in Hypertension.” Clinical Radiology 77 (5): e379–86.
</div>
<div id="ref-fineLeftRightVentricular2013" class="csl-entry">
Fine, Nowell M., Aijaz A. Shah, Il-Yong Han, Yang Yu, Ju-feng Hsiao, Yuki Koshino, Hayder K. Saleh, et al. 2013. “Left and Right Ventricular Strain and Strain Rate Measurement in Normal Adults Using Velocity Vector Imaging: An Assessment of Reference Values and Intersystem Agreement.” The International Journal of Cardiovascular Imaging 29 (3): 571–80. https://doi.org/10.1007/s10554-012-0120-7.
</div>
<div id="ref-goranssonReproducibilityPeakFilling2017" class="csl-entry">
Göransson, Christoffer, Niels Vejlstrup, and Jørn Carlsen. 2017. “Reproducibility of Peak Filling and Peak Emptying Rate Determined by Cardiovascular Magnetic Resonance Imaging for Assessment of Biventricular Systolic and Diastolic Dysfunction in Patients with Pulmonary Arterial Hypertension.” The International Journal of Cardiovascular Imaging.
</div>
<div id="ref-grassedonioAssessmentAtrialDiastolic2015" class="csl-entry">
Grassedonio, Emanuele, Giancarlo Todiere, Ludovico La Grutta, Patrizia Toia, Giovanni D. Gentile, Massimo Galia, Federico Midiri, Alessia Pepe, Massimo Midiri, and Giovanni Donato Aquaro. 2015. “Assessment of Atrial Diastolic Function in Patients with Hypertrophic Cardiomyopathy by Cine Magnetic Resonance Imaging.” La Radiologia Medica 120 (8): 714–22.
</div>
<div id="ref-hasselbergPrognosticValueRight2021" class="csl-entry">
Hasselberg, Nina E., Nobuyuki Kagiyama, Yuko Soyama, Masataka Sugahara, Akiko Goda, Keiko Ryo-Koriyama, Omar Batel, Murali Chakinala, Marc A. Simon, and John Gorcsan. 2021. “The Prognostic Value of Right Atrial Strain Imaging in Patients with Precapillary Pulmonary Hypertension.” Journal of the American Society of Echocardiography 34 (8): 851–861.e1. https://doi.org/10.1016/j.echo.2021.03.007.
</div>
<div id="ref-hongoRadionuclideAngiographicAssessment1989" class="csl-entry">
Hongo, Minoru, Tadashige Fujii, Jiro Hirayama, Osamu Kinoshita, Masao Tanaka, and Shinichi Okubo. 1989. “Radionuclide Angiographic Assessment of Left Ventricular Diastolic Filling in Amyloid Heart Disease: A Study of Patients with Familial Amyloid Polyneuropathy.” Journal of the American College of Cardiology 13 (1): 48–53.
</div>
<div id="ref-hudsmith+NormalHumanLeft2005" class="csl-entry">
Hudsmith, Lucy, Steffen Petersen, Jane Francis, Matthew Robson, and Stefan Neubauer. 2005. “Normal Human Left and Right Ventricular and Left Atrial Dimensions Using Steady State Free Precession Magnetic Resonance Imaging.” Journal of Cardiovascular Magnetic Resonance 7 (5): 775–82.
</div>
<div id="ref-kawel-boehmReferenceRangesNormal2020" class="csl-entry">
Kawel-Boehm, Nadine, Scott J. Hetzel, Bharath Ambale-Venkatesh, Gabriella Captur, Christopher J. Francois, Michael Jerosch-Herold, Michael Salerno, et al. 2020. “Reference Ranges (‘Normal Values’) for Cardiovascular Magnetic Resonance (CMR) in Adults and Children: 2020 Update.” Journal of Cardiovascular Magnetic Resonance 22 (1): 87.
</div>
<div id="ref-kempnyQuantificationBiventricularMyocardial2012" class="csl-entry">
Kempny, Aleksander, Rodrigo Fernández-Jiménez, Stefan Orwat, Pia Schuler, Alexander C Bunck, David Maintz, Helmut Baumgartner, and Gerhard-Paul Diller. 2012. “Quantification of Biventricular Myocardial Function Using Cardiac Magnetic Resonance Feature Tracking, Endocardial Border Delineation and Echocardiographic Speckle Tracking in Patients with Repaired Tetralogy of Fallot and Healthy Controls.” Journal of Cardiovascular Magnetic Resonance 14 (1): 32.
</div>
<div id="ref-konoLeftVentricularShape1991" class="csl-entry">
Kono, Tatsuji, Hani N. Sabbah, Paul D. Stein, James F. Brymer, and Fareed Khaja. 1991. “Left Ventricular Shape as a Determinant of Functional Mitral Regurgitation in Patients with Severe Heart Failure Secondary to Either Coronary Artery Disease or Idiopathic Dilated Cardiomyopathy.” The American Journal of Cardiology 68 (4): 355–59.
</div>
<div id="ref-kosarajuLeftVentricularEjection2024" class="csl-entry">
Kosaraju, Ateet, Amandeep Goyal, Yulia Grigorova, and Amgad N. Makaryus. 2024. “Left Ventricular Ejection Fraction.” In StatPearls. Treasure Island (FL): StatPearls Publishing.
</div>
<div id="ref-levenCardiacMorphologyFunction2016" class="csl-entry">
Le Ven, Florent, Karine Bibeau, Élianne De Larochellière, Helena Tizón-Marcos, Stéphanie Deneault-Bissonnette, Philippe Pibarot, Christian F. Deschepper, and Éric Larose. 2016. “Cardiac Morphology and Function Reference Values Derived from a Large Subset of Healthy Young Caucasian Adults by Magnetic Resonance Imaging.” European Heart Journal Cardiovascular Imaging 17 (9): 981–90.
</div>
<div id="ref-leeShapeFunctionRight2013" class="csl-entry">
Lee, Christopher M., Florence H. Sheehan, Beatriz Bouzas, Sylvia S. M. Chen, Michael A. Gatzoulis, and Philip J. Kilner. 2013. “The Shape and Function of the Right Ventricle in Ebstein’s Anomaly.” International Journal of Cardiology 167 (3): 704–10.
</div>
<div id="ref-lindholmAtrioventricularPlaneDisplacement2022" class="csl-entry">
Lindholm, Anthony, Barbro Kjellström, Felicia Seemann, Marcus Carlsson, Roger Hesselstrand, Göran Rådegran, Håkan Arheden, and Ellen Ostenfeld. 2022. “Atrioventricular Plane Displacement and Regional Function to Predict Outcome in Pulmonary Arterial Hypertension.” The International Journal of Cardiovascular Imaging 38 (10): 2235–48. https://doi.org/10.1007/s10554-022-02616-w.
</div>
<div id="ref-maceiraReferenceRightVentricular2006" class="csl-entry">
Maceira, A. M., S. K. Prasad, M. Khan, and D. J. Pennell. 2006. “Reference Right Ventricular Systolic and Diastolic Function Normalized to Age, Gender and Body Surface Area from Steady-State Free Precession Cardiovascular Magnetic Resonance.” European Heart Journal 27 (23): 2879–88. https://doi.org/10.1093/eurheartj/ehl336.
</div>
<div id="ref-maceiraNormalizedLeftVentricular2006" class="csl-entry">
Maceira, A., S. Prasad, M. Khan, and D. Pennell. 2006. “Normalized Left Ventricular Systolic and Diastolic Function by Steady State Free Precession Cardiovascular Magnetic Resonance.” Journal of Cardiovascular Magnetic Resonance 8 (3): 417–26.
</div>
<div id="ref-mahmaljyDilatedCardiomyopathy2023a" class="csl-entry">
Mahmaljy, Hadi, Varun S. Yelamanchili, and Mayank Singhal. 2023. “Dilated Cardiomyopathy.” In StatPearls. Treasure Island (FL): StatPearls Publishing.
</div>
<div id="ref-marwickEjectionFractionPros2018" class="csl-entry">
Marwick, Thomas H. 2018. “Ejection Fraction Pros and Cons.” Journal of the American College of Cardiology 72 (19): 2360–79.
</div>
<div id="ref-mcghieQuantitativeAssessmentEntire2017" class="csl-entry">
McGhie, Jackie S., Myrthe E. Menting, Wim B. Vletter, René Frowijn, Jolien W. Roos-Hesselink, Heleen B. Van Der Zwaan, Osama I. I. Soliman, Marcel L. Geleijnse, and Annemien E. Van Den Bosch. 2017. “Quantitative Assessment of the Entire Right Ventricle from One Acoustic Window: An Attractive Approach.” European Heart Journal - Cardiovascular Imaging 18 (7): 754–62. https://doi.org/10.1093/ehjci/jew165.
</div>
<div id="ref-morrisNormalRangeUsefulness2017" class="csl-entry">
Morris, Daniel A., Maximilian Krisper, Satoshi Nakatani, Clemens Köhncke, Yutaka Otsuji, Evgeny Belyavskiy, Aravind K. Radha Krishnan, et al. 2017. “Normal Range and Usefulness of Right Ventricular Systolic Strain to Detect Subtle Right Ventricular Systolic Abnormalities in Patients with Heart Failure: A Multicentre Study.” European Heart Journal – Cardiovascular Imaging 18 (2): 212–23. https://doi.org/10.1093/ehjci/jew011.
</div>
<div id="ref-muraruRightVentricularLongitudinal2022" class="csl-entry">
Muraru, Denisa, Kristina Haugaa, Erwan Donal, Ivan Stankovic, Jens Uwe Voigt, Steffen E Petersen, Bogdan A Popescu, and Thomas Marwick. 2022. “Right Ventricular Longitudinal Strain in the Clinical Routine: A State-of-the-Art Review.” European Heart Journal - Cardiovascular Imaging 23 (7): 898–912. https://doi.org/10.1093/ehjci/jeac022.
</div>
<div id="ref-parkTwodimensionalEchocardiographicAssessment2019" class="csl-entry">
Park, Jae-Hyeong. 2019. “Two-Dimensional Echocardiographic Assessment of Myocardial Strain: Important Echocardiographic Parameter Readily Useful in Clinical Field.” Korean Circulation Journal 49 (10): 908–31.
</div>
<div id="ref-parkNormalReferencesRight2018" class="csl-entry">
Park, Jae-Hyeong, Jin-Oh Choi, Seung Woo Park, Goo-Yeong Cho, Jin Kyung Oh, Jae-Hwan Lee, and In-Whan Seong. 2018. “Normal References of Right Ventricular Strain Values by Two-Dimensional Strain Echocardiography According to the Age and Gender.” The International Journal of Cardiovascular Imaging 34 (2): 177–83. https://doi.org/10.1007/s10554-017-1217-9.
</div>
<div id="ref-petersenReferenceRangesCardiac2017" class="csl-entry">
Petersen, Steffen E., Nay Aung, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, Jose Miguel Paiva, Jane M. Francis, et al. 2017. “Reference Ranges for Cardiac Structure and Function Using Cardiovascular Magnetic Resonance (CMR) in Caucasians from the UK Biobank Population Cohort.” Journal of Cardiovascular Magnetic Resonance 19 (1): 18.
</div>
<div id="ref-purmahRightVentricularEjection2021" class="csl-entry">
Purmah, Yanish, Lucy Y. Lei, Steven Dykstra, Yoko Mikami, Aidan Cornhill, Alessandro Satriano, Jacqueline Flewitt, et al. 2021. “Right Ventricular Ejection Fraction for the Prediction of Major Adverse Cardiovascular and Heart Failure-Related Events: A Cardiac MRI Based Study of 7131 Patients With Known or Suspected Cardiovascular Disease.” Circulation: Cardiovascular Imaging 14 (3): e011337. https://doi.org/10.1161/CIRCIMAGING.120.011337.
</div>
<div id="ref-rahimtoolaLeftAtrialTransport1975" class="csl-entry">
Rahimtoola, Shahbudin H., Ali Ehsani, M.Ziad Sinno, Henry S. Loeb, Kenneth M. Rosen, and Rolf M. Gunnar. 1975. “Left Atrial Transport Function in Myocardial Infarction.” The American Journal of Medicine 59 (5): 686–94.
</div>
<div id="ref-ruijsinkFullyAutomatedQualityControlled2020a" class="csl-entry">
Ruijsink, Bram, Esther Puyol-Antón, Ilkay Oksuz, Matthew Sinclair, Wenjia Bai, Julia A. Schnabel, Reza Razavi, and Andrew P. King. 2020. “Fully Automated, Quality-Controlled Cardiac Analysis From CMR.” JACC: Cardiovascular Imaging 13 (3): 684–95. https://doi.org/10.1016/j.jcmg.2019.05.030.
</div>
<div id="ref-sharifovCoronaryArteryDisease2023" class="csl-entry">
Sharifov, Oleg, Thomas S. Denney, Andrew A. Girard, Himanshu Gupta, and Steven G. Lloyd. 2023. “Coronary Artery Disease Is Associated With Impaired Atrial Function Regardless of Left Ventricular Filling Pressure.” International Journal of Cardiology 387: 131102.
</div>
<div id="ref-silverthorn2013human" class="csl-entry">
Silverthorn, Dee Unglaub, William C Ober, Claire W Garrison, Andrew C Silverthorn, and Bruce R Johnson. 2013. Human Physiology: An Integrated Approach. Vol. 3. Pearson Education Indianapolis, IN.
</div>
<div id="ref-smisethMyocardialStrainImaging2024" class="csl-entry">
Smiseth, Otto A., Oliver Rider, Marta Cvijic, Ladislav Valkovič, Espen W. Remme, and Jens-Uwe Voigt. 2024. “Myocardial Strain Imaging.” JACC: Cardiovascular Imaging, S1936878X24003012.
</div>
<div id="ref-suinesiaputraFullyautomatedLeftVentricular2018" class="csl-entry">
Suinesiaputra, Avan, Mihir M. Sanghvi, Nay Aung, Jose Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, et al. 2018. “Fully-Automated Left Ventricular Mass and Volume MRI Analysis in the UK Biobank Population Cohort: Evaluation of Initial Results.” The International Journal of Cardiovascular Imaging 34 (2): 281–91.
</div>
<div id="ref-vincentUnderstandingCardiacOutput2008" class="csl-entry">
Vincent, Jean-Louis. 2008. “Understanding Cardiac Output.” Critical Care 12 (4): 174.
</div>
</div>