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. Author manuscript; available in PMC: 2017 Sep 1.
Published in final edited form as: Curr Opin Cardiol. 2016 Sep;31(5):469–482. doi: 10.1097/HCO.0000000000000315

Right Heart Imaging in Patients with Heart Failure: A Tale of Two Ventricles

Myriam Amsallem 1, Tatiana Kuznetsova 2, Kate Hanneman 3, Andre Denault 4, François Haddad 1,*
PMCID: PMC5133417  NIHMSID: NIHMS817115  PMID: 27467173

Abstract

Purpose of review

To describe the recent advances made in imaging of the right heart, including deformation imaging, tissue and flow characterization by resonance imaging (MRI), and molecular imaging.

Recent findings

Recent developments have been made in the field of deformation imaging of the right heart, which may improve risk stratification of patients with heart failure and pulmonary hypertension. In addition, more attention has been given to load adaptability metrics of the right heart; these simplified indices however still face challenges from a conceptual point of view. The emergence of novel MRI sequences, such as native T1 mapping, allows better detection and quantification of myocardial fibrosis and could allow better prediction of post-surgical recovery of the right heart. Other advances in MRI include four-dimensional flow imaging, which may be particularly useful in congenital heart disease or for the detection of early stages of pulmonary vascular disease.

Summary

This review will place the recent developments in right heart imaging in the context of clinical care and research.

Keywords: coupling, heart failure, imaging, pulmonary hypertension, right heart

Introduction

In the past three decades, significant progress has been made in the imaging of the right heart. One of the most important changes has been the greater awareness given to right heart function in both clinical and research settings (1). In this review, we will highlight recent innovations in the field of right heart imaging, including myocardial deformation imaging, 3D and 4D flow magnetic resonance imaging (MRI), as well as molecular imaging. These recent developments will be placed in the context of how right heart imaging can improve the management of heart failure (HF) and pulmonary hypertension (PH). The value of right heart imaging in the setting of congenital heart disease or cardiac surgery is beyond the scope of the current review and has recently been reviewed (2,3).

Right and left heart, is there a real distinction?

While the separation between the right and left heart has clear anatomical and embryological basis, it does not reflect the complexity of the structural and functional relationships and interactions between the heart and the circulation. Anatomically, the right (RV) and left (LV) ventricles are strongly connected through the septum and myofiber architecture (4). Because of the functional interactions between the ventricles, interpretation of RV performance should always be made in the context of LV function and vice versa. In the absence of complex congenital heart disease, the effective stroke volume of both ventricles is equal on average. Consequently, RV dysfunction in patients with predominantly “left heart failure” could mainly reflect low stroke volume and not necessarily intrinsic myocardial involvement of the right heart. In addition to systolic interactions, diastolic interactions, neurohormonal factors and interventricular dyssynchrony blur the lines between the right and left heart (57).

The right heart, as part of the cardiopulmonary unit

In addition to interventricular interactions, a comprehensive understanding of RV function should also consider the cardiopulmonary unit (1). As shown in Figure 1, this includes a better assessment of ventriculoarterial coupling (matching between RV contractility and afterload), ventilation perfusion matching, as well as atrioventricular coupling.

Figure 1. Simplified representation of the “unfolded circulation”: right atrium (RA), right ventricle (RV), lungs, left atrium (LA), left ventricle (LV) and systemic organs.

Figure 1

Concepts related to coupling and matching between different physiological and anatomical entities are represented. V/Q: ventilation/perfusion. (Reproduced with permission from Laboratory of Surgical Research of the Marie Lannelongue Hospital and Springer International Publishing Switzerland).

Right heart reference values, have we made any progress?

Recent efforts have been made to develop reference values for RV structure and function assessment. In 2010, Rudski et al. published an American/European consensus document on the evaluation of the right heart, later incorporated in the 2015 American Society of Echocardiography and European Association of Cardiovascular Imaging recommendations on chamber quantification (8,9). Table 1 summarizes the different proposed thresholds for enlargement or dysfunction (816); a recent large community based study also proposed population derived values (17). Some controversies still exist on which threshold to use for RV longitudinal strain (RVLS) and tricuspid annular plane systolic excursion (TAPSE). For example, some authors use slightly higher thresholds than those suggested in the guidelines, such as −25% for RVLS compared to the −20% recommended, or 18 mm used for TAPSE instead of 17mm (9,12). Another area of uncertainty comes from the absence of well-established gradation for RV enlargement or dysfunction, in contrast to well-defined left heart metrics, realizing that some of the gradation will be in part arbitrary. RV ejection fraction < 35% has often been used as a criterion for moderate RV systolic dysfunction, which corresponds to an RV fractional area change (RVFAC) of approximately 25% (18). Additionally to the normative values, several right heart metrics thresholds have been proposed for risk stratification. Tables 2 and 3 summarize the main prognostic right heart metrics in HF and PH (1931,10,32,33,12).

Table 1.

Selection of the most relevant right heart imaging metrics.

Metrics Reference values* Clinical relevance and comments
Dimensional indices
RV volumes Sex dependent Increased RV volumes and decreased LV end-
diastolic volume are predictors of poor survival in PH
RV mass Indexed on BSA
21±4 g/m2
Hypertrophy is predictor of poor survival in PAH but
better survival in patients with Eisenmenger
Reflects adaptive response but has to be interpreted
with regards to load
RA enlargement >11.0 cm2/m2 > 15.4 cm2/m2 is associated with poor survival in PAH
Systolic functional indices
RVEF > 50 % < 35 % by MRI or SPECT often used as threshold to
discriminate outcome associated with poor survival in
HFrEF and PH
< 45 % by 3D–echocardiography usually reflects
abnormal RV systolic function, though laboratories
may choose to refer to age- and gender-specific values
RVFAC >35 % < 25 % denotes moderate to severe dysfunction
Predictor of poor survival in PH and HF
TAPSE > 17 mm < 14 mm is predictor of poor survival in PH
Load-dependent
Limited value after cardiac surgery
S’ peak velocity > 12 cm/s < 8 cm/s is considered abnormal
Load dependent
Deformation indices
Global longitudinal
strain
< −20 % Severe often if > −15 % by speckle tracking
Predictor of survival in PH (12)
Systolodiastolic functional index
RVMPI- pulsed tissue
< 0.55 > 0.88 predict poor survival in idiopathic PAH
Possible pseudo-normalized in case of severe RV
dysfunction
Diastolic metric
IVRT (TDI) corrected < 65 ms
> 75 ms (non corrected) has been associated with RV
dysfunction
Requires indexation by heart rate (IVRT divided by
square root of RR interval)
Pulmonary flow
Pulmonary
acceleration time
> 93 ms Useful to screen for PH (> 105 ms), particularly in
case of severe tricuspid regurgitation
No evidence of prognosis value, time dependent
(adjustment to heart rate in theory)
Ventricular interdependency
Eccentricity index (EI) No normative value,
usually < 1
Diastolic EI predictor of poor survival in PH (no
consensus on the threshold)
End-systole EI reflects pressure-overload while end-
diastole EI reflects volume-overload
Myocardial fibrosis
Delayed contrast –
enhancement
(gadolinium)
Absent Presence reflects localized fibrosis
Strongly correlates with increased RV mass, volumes
and pulmonary pressures
Native T1 mapping T1 times: RV > LV Able to detect diffuse fibrosis
Correlates with RV-PA coupling, RV performance
and pulmonary pressures in a piglet model
Nuclear imaging
18F-
fluorodeoxyglucose
PET
No uptake by the RV RV/LV uptake ratio increased in PH
201-thallium or 99mTc
SPECT
Uptake LV > RV Relative increase in RV perfusion compared to LV
with stress may indicate multivessel coronary artery
disease (15,16)

BSA: body surface area; HFrEF: left heart failure with reduced ejection fraction; IVRT: isovolumic relaxation time; LV: left ventricle; PA: pulmonary artery; PAH: pulmonary arterial hypertension; PET: positron emission tomography; PH: pulmonary hypertension; RA: right atrium; RV: right ventricle; RVEF: RV ejection fraction; RVFAC: RV fractional area change; RVMPI: RV myocardial performance index; SPECT: single photon emission computed tomography; TAPSE: tricuspid annular plane systolic excursion; TDI: tissue Doppler imaging.

*

Normative values and thresholds are from the following references: (814).

Table 2.

Selected studies associating right heart metrics with survival in left heart failure.

Study Population Number
of
patients
Outcomes Afterload
metrics*
Right
ventricular
metrics*
Comments
Heart failure with reduced ejection fraction (HFrEF)
Ghio et
al. 2000
(19)
Chronic HF
LVEF <35%
140 Death or
urgent
transplant
during
FU (2 years)
- TAPSE
≤ 14mm
Meyer et
al. 2010
(20)
Chronic HF
LVEF ≤35%
2008 Death during
FU (2 years)
- RVEF < 20% Large nuclear
study
Dupont et
al. 2012
(21)
Chronic and
acute HF
LVEF =19±9%
724 Death or
transplant
during FU (3.2
years)
Capacitance
Visual right
ventricular
systolic
dysfunction
Cardiac Index
First study to
demonstrate
prognostic
value of
capacitance in
HFrEF
Gulati et
al. 2013
(22)
Non-ischemic
dilated
cardiomyopathy
250 Death or
transplant
during FU (6.8
years)
- RVEF ≤ 45% MRI study
Cameli et
al. 2013
(23)
Advanced HF
referred for
heart transplant
98 Composite
endpoint
(death,
transplant,
hospitalization,
mechanical
assistance)
during FU (1.5
years)
- Free-wall RV
longitudinal
strain
RV global
longitudinal
strain
RVFAC
First study to
report the
prognostic
value of RV
strain in end-
stage HF
Aronson
et al. 2013
(24)
Acute HF
HFrEF or
HFpEF
326 Death during
FU (1 year)
- RVFAC <35%
in patients with
PH
Rare study on
acute failure,
irrespective of
LVEF
Iacoviello
et al. 2016
(26)
Chronic HF
LVEF <45%
332 Death during
FU (3 years)
- Free-wall RV
longitudinal
strain
RV global
longitudinal
strain
First study to
report the
prognostic
value of RV
strain in stable
outpatients
Heart failure with preserved ejection fraction (HFpEF)
Al-
Naamani
et al. 2015
(25)
LVEF >50%
with PH
73 Death during
FU (3.6 years)
Capacitance
- First study to
demonstrate
prognostic
value of
capacitance in
HFpEF, more
studies with
multivariate
models are
needed
*

In multivariate analysis. FU: follow-up (median or mean is displayed); HF: heart failure; LVEF: left ventricular ejection fraction; PH: pulmonary hypertension; RVEF: right ventricular ejection fraction.

Table 3.

Selected studies associating right heart metrics with survival in pulmonary hypertension.

Study Population Number
of
patients
Outcomes Afterload
metrics*
Right
ventricular
metrics*
Comments
NIH registry
D’Alonzo
et al. 1991
(27)
PAH 194 Death or heart-
lung transplant
during FU (2.8
years)
MPAP
Mean right
atrial pressure
Cardiac Index Does not reflect the
current survival
rate
Only applicable to
naïve-treatment
patients
Pulmonary Hypertension Connection registry
Thenappan
et al. 2010
(28)
PAH 578 Death during
FU (3.9 years)
MPAP
Mean right
atrial pressure
Cardiac Index Does not reflect the
recent treatments
available
French National registry
Humbert et al. 2010 (29) Idiopathic,
familial,
drug and
toxins-
associated
PAH
354 Death at 3 years - Cardiac Index
REVEAL Registry
Benza et al.
2010 (30)
Idiopathic,
familial,
CHD and
CTD-
Associated
PAH
2,716 Death at 1 year Pulmonary
Vascular
Resistance (>
32 Wood Units)
Pericardial
effusion
Mean right
atrial pressure
(>20mmHg)
UK registry
Lee et al.
2012 (31)
Idiopathic,
familial,
CHD and
CTD
associated
PAH
182 Death at 1 and 2 years - Mean right atrial pressure
Right Heart score
Haddad et
al. 2015
(10)
Idiopathic,
familial,
drug and
toxins
associated
PAH
95+87 Death or lung
transplant at 5
years
- RV dysfunction
Severe RA
enlargement
Systemic blood
pressure
<110mmHg
Simple
Echocardiographic
score in PAH
Others
Mahapatra
et al. 2006
(32)
Idiopathic
PAH
104 Death at 4 years Capacitance -
Haddad et
al. 2011
(33)
PAH
admitted
for acute
right heart
failure
119 Death or lung
transplant at 90
days
- TR severity
per grade
Rare study on
acutely deteriorated
patients with PH
Fine et al.
2013 (12)
Group 1, 3
and 4 PH
vs. no PH
406 + 169 Death at 18
months
None retained Peak RV
longitudinal
strain
Pericardial
effusion
Log (NT-
proBNP)
Large study on
prognostic value of
RV strain in PAH
*

In multivariate analysis. CHD: congenital heart disease; CTD: connective tissue disease; MPAP: mean pulmonary arterial hypertension; PAH: pulmonary arterial hypertension; RV: right ventricle; TR: tricuspid regurgitation. For other abbreviations, see Table 2.

Pitfalls of right heart imaging

Several pitfalls in the assessment of the right heart have been described. First, as the annular motion frequently decreases after cardiac surgery following pericardial opening, it should be kept in mind that annular indices (such as TAPSE or S’ velocity) do not consequently reflect RV systolic function (34,35). This represents the most common cause of misdiagnosis of RV dysfunction post-operatively. A second important pitfall is to consider the different RV indices as equivalent; for example TAPSE is a less sensitive marker of ventricular dysfunction than RVFAC or RVLS. Third, when analyzing RV size on the apical 4-chamber view, careful attention should be given to ensure that the imaging plane reflects the major axis of the right ventricle, (i.e. neither off-axis nor foreshortened). These two considerations are especially important for accurate 2D quantification of RV size. A corollary pitfall is to draw conclusions on RV dimensions based on relative RV to LV size, as this leads to underestimation of RV size in patients with dilated LV. Forth, ventricular dysfunction should not be equated with impaired RV contractility. Evidence has been made of the potential recovery of the RV even if severely impaired in the setting of abnormal afterload, as illustrated by the remodeling after lung transplant in patients with pulmonary arterial hypertension (PAH) (36). Fifth, presence of a severe tricuspid regurgitation should systematically be assessed, as it exposes to overestimation of RV function based on volumetric metrics (such as ejection fraction, RVFAC), TAPSE or RVLS. Lastly, presence of RV artifacts using nuclear imaging, such as positron emission tomography (PET), can be caused attenuation or cardiac and respiratory motion.

Latest developments in echocardiography

Right ventricular deformation imaging

Myocardial deformation imaging has gathered a lot of attention in recent years leading to several thousand publications (37). Myocardial deformation encompasses different concepts including 1) strain, usually expressed as longitudinal, circumferential or radial strain, 2) strain rate, which represents the deformation over time and 3) velocity based parameters. As summarized in a statement paper by Voigt et al., strain may refer to either natural strain or Lagrangian strain (37). One of the landmark studies in the field is Dumesnil et al.’s that outlines the principles of axial and transverse shortening of the LV (38). Both reflect deformation of the myocardial wall, but while natural strain is expressed relative to the length at a previous time, Lagrangian strain is expressed relative to the initial length as follow: (end-systolic length – end-diastolic length)/end-diastolic length and is usually assessed using speckle tracking or by manual tracing (Figure 2) (39,40). Both concepts are related to each other mathematically but are not equivalent. Moreover, studying strain adds value to other volumetric metrics especially in cases of non-dilated ventricles (40). We recently showed that in “left heart failure”, LVEF and LV strain are more collinearly related to each other in patients with reduced ejection fraction (EF) compared to higher EF.

Figure 2. Myocardial deformation and velocity imaging of the right heart.

Figure 2

A: Superposed RV speckle tracking tracing with numbers representing segmental peak strain. Example from Philips tracking (developed for LV and applied to RV); specific RV tracking has also been developed by other vendors. B: Strain-time curve of the different signals. ApL indicates apex lateral; ApS, apex septum; BIS, basal interventricular septum; BL, basal lateral; GLS, global longitudinal strain; MIS, mid interventricular septum; and ML, mid lateral. (Adapted from Vonk Noordegraaf et al. Circulation 2015) (1).

Primarily developed in the LV, several studies have explored the value of longitudinal shortening of the RV-free wall in patients with advanced HF referred for heart transplant (23) and outpatients with HF (26). The software used for speckle tracking have mainly been developed for the LV. Tracking of the RV may be more challenging and is often more reliable in the basal and mid portion. Recently, Ryo et al. have developed a software evaluating both axial and surface RV strain using 3D methodology (41). Finally, it should be highlighted that right heart strain derived by MRI often focus on the circumferential strain, while strain derived by echocardiography focus on the longitudinal strain.

Three-Dimensional imaging of the right heart

3D–echocardiography (3DE) opens up the possibility of evaluating RV volumes, by overcoming the limitations of conventional 2D-echocardiography RV views with regard to orientation and reference points. A meta-analysis has indeed shown the good correlation between MRI and 3DE for RV volumes and ejection fraction assessment in patients and healthy subjects, with 3DE slightly underestimating volumes as compared to MRI (42). So far, only one multicenter study provides age-, body size-, and sex-specific reference values of 3DE derived RV volumes and EF in 507 healthy volunteers (43). Overall, women have smaller indexed RV volumes and higher EF compared to men, while older age is associated with smaller RV volumes (a decrement of 5 mL per decade for end-diastolic volume and 3 mL per decade for end-systolic volume) and higher EF (an increment of 1% per decade) (43). Lastly, a recent quantitative 3DE study have explored morphological subsets of RV adaption and remodeling in 92 patients with PH, and linked them to clinical outcomes (41). 3D RV end-systolic volume had indeed significantly better predictive values than end-diastolic volume or global strain to predict the combined endpoint of hospitalization, death, or lung transplantation.

Right ventricular - pulmonary arterial coupling

The measure of RV function routinely used in clinical practice reflects overall function and not contractility (44). The concept of ventriculoarterial coupling has been developed to describe matching between RV contractility and afterload; a ventricle that can increase its contractility in response to the increase in afterload usually stays well compensated. In PAH for example, RV contractility is increased but insufficient to match the increase in load, thus RV dysfunction ensues (1,45). This is an important distinction, as RV contractility is not decreased in PAH, as illustrated by the RV recovery post- lung transplantation in those patients.

As a related concept, there has been a recent interest in focusing on markers of load adaptability of the RV. This could help addressing two questions. The first is whether RV function is disproportionally reduced considering the ventricular wall stress or load. The second is on how to best combine right heart function and load metrics into a simple index, in order to more accurately assess RV function and PH. In the present review, we will highlight two examples. The first index proposed by Guazzi et al. is a simplified index of RV length-force relationship defined by TAPSE/systolic PAP ratio. A value < 0.36 mm/mmHg was associated with an increased cardiovascular mortality (Hazard Ratio of 10.4, [5.4–19.8], p<0.001) in 293 patients with heart failure with reduced (HFrEF) or preserved EF (HFpEF) (46). However, the applicability of this ratio in patients with PAH, who have wider range of pulmonary pressures, has not been validated yet. In addition, simple ratios may not address the question of dis/proportionality of function, as the relationships between function and afterload follows a nonlinear and often inverse fit (47,48). Figure 3 schematically represents the curvilinear fit of the relationships between RV function or end-systolic dimension, and afterload metrics (such as pressure, resistance, capacitance or estimation of the RV wall stress). The second load adaptation index proposed by Dandel et al. is defined as: (delta pressure between the RV and the RA) / [EDV/LED], estimated by [VTITR × LED] / AED, with EDV being end-diastolic volume, LED the RV length in end-diastole, AED the RV area in end-diastole and VTITR the velocity time integration of the TR signal (49). The prognostic value of this index was primarily demonstrated for the assessment of RV function recovery in patients with end-stage left HF on left ventricular assist devices (22). It was also validated in 79 patients with PAH awaiting lung transplantation, and shown to be associated with the risk of RV failure and transplant-free survival at 1 and 3 years (50). However, while this index provides complementary information about proportionality of ventricular adaptation, it does not replace remodeling or function parameters.

Figure 3. Relationships between right ventricular function (A) or end-systolic size (B) and ventricular afterload.

Figure 3

Based on the literature, this figure schematically represents the curvilinear fit (usually logarithmic fit) of the relationships between RV function or end-systolic dimension, and afterload (such as pressure, resistance, capacitance or estimation of the RV wall stress). Estimation of the wall stress is more challenging, but better reflects the force opposing ventricular function. The shape of the fit would be inversed if capacitance is used as afterload. Two examples are depicted on this figure (patient 1 and patient 2). Despite similar moderate right ventricular function, patients 1 and 2 differ in terms of RV adaptation. Patient 1 has a disproportional dysfunction as the function is worse than what would be expected for the mild increase in afterload compared to patient 2.

Innovations in Magnetic Resonance Imaging

Beyond volumetric and functional analysis, MRI also allows for tissue characterization, pulmonary stiffness assessment, and accurate quantification of blood flow. Table S1 compares the advantages and limitations of MRI and others imaging modalities.

Myocardial tissue characterization

Two novelties in myocardium characterization by MRI need to be mentioned. The first one is the non-inclusion of RV myocardial fatty infiltration in the recent revised Task Force diagnostic criteria for Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia (ARVC/D) (Table 4) (51). In fact, although fatty infiltration had been considered as indicative of ARVC/D for years, recent evidence has questioned its specificity, showing the high rate of physiological fatty infiltration (without concomittant fibrosis) in healthy controls (52). The presence of regional RV akinesia or dyskinesia remains an important diagnostic criterion of ARVC/D (51). A specific MRI pattern, described as a focal “crinkling” of the RV outflow tract and subtricuspid regions (accordion sign), has been reported as a promising sign for early diagnosis of ARVC/D as only found in mutation carrier (53). The accordion sign is an example of regional RV wall motion abnormalities, similar to the regional contraction abnormalities first described by McConnell et al. two decades ago (54) in patients with acute pulmonary embolism, and recently revisited using echocardiographic strain (55).

Table 4.

2010 Revised Task Force imaging criteria for diagnosis of Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia.

Major criteria Minor criteria
2D–echocardiography Regional RV akinesia, dyskinesia, or
aneurysm
and 1 of the following (end-diastole):
- PLAX RVOT ≥32mm (corrected for
body size PLAX/BSA ≥19mm/m2)
- PSAX RVOT ≥36mm (corrected for
body size PSAX/BSA ≥21mm/m2)
- or fractional area change ≤33%.
Regional RV akinesia, dyskinesia, or
aneurysm
and 1 of the following (end-diastole):
- PLAX RVOT ≥29 to <32mm (corrected
for body size PLAX/BSA ≥16 to
<19mm/m2)
- PSAX RVOT ≥32 to <36mm (corrected
for body size PSAX/BSA ≥18 to
<21mm/m2)
- or fractional area change >33 to ≤40%.
Magnetic Resonance
Imaging
Regional RV akinesia or dyskinesia* or
dyssynchronous RV contraction
And 1 or the following:
- Ratio of RV end-diastolic volume to
BSA ≥110mL/m2 (male) or ≥100mL/m2
(female)
- or RV ejection fraction ≤40%.
Regional RV akinesia or dyskinesia* or
dyssynchronous RV contraction
And 1 or the following:
- Ratio of RV end-diastolic volume to
BSA ≥100 to <110mL/m2 (male) or ≥90 to
<100mL/m2 (female)
- or RV ejection fraction >40% to ≤45%.
RV angiography Regional RV akinesia, dyskinesia or
aneurysm
N/A

BSA: body surface area; PLAX: parasternal long axis view; PSAX: parasternal short axis view; RVOT: right ventricular outflow tract. Other abbreviations, please refer to Tables 1, 2, 3.

*

Include the “accordion sign”.

The second novelty is the assessment of myocardial fibrosis by late gadolinium enhancement (LGE) or more recently T1 mapping. LGE identifies myocardial fibrosis, which has diagnostic (56) and prognostic (57) values. One of the main potential pitfalls of LGE imaging is that it may fail to adequately characterize diffuse interstitial myocardial fibrosis due to reliance on relative signal intensity changes and nulling of normal appearing myocardium (58). Quantitative assessment of the myocardial longitudinal relaxation time constant (T1) has in parallel emerged as a promising technique to assess for diffuse myocardial changes. T1 maps can be produced of non-contrast (native) myocardial T1 values (providing information on both the myocyte and the interstitium) or after gadolinium-based contrast administration (enabling quantification of the extracellular space) (59). In healthy controls, RV non-contrast T1 values have been shown to be higher than LV values, which may be explained by the higher collagen content of the RV myocardium (60,61). In the setting of RV dysfunction and PH, RV and hinge point non-contrast T1 and extra-cellular volume fraction values are elevated. Post-contrast T1 values are reduced (62,63) and may correlate with pulmonary hemodynamics, RV-PA coupling and RV function (64). Finally, several advanced techniques have been proposed to improve T1 quantification of thin walled structures such as the RV, including imaging in systole and higher resolution sequences (60,61,63,65).

Pulmonary arterial stiffness

Several parameters have been developed to provide information on local, regional or global stiffness: pulse pressure, elasticity, distensibility, compliance, capacitance, and stiffness index beta (66), as detailed in Supplementary Table S2. Among them, capacitance (invasively estimated as the ratio of SV divided by pulse pressure) has been associated to RV dysfunction, remodeling and mortality, independently from the level of resistance, in a wide spectrum of diseases (idiopathic and scleroderma-associated PAH, HFrEF and HFpEF) (21,25,32,47,67,68). Pulmonary arterial elasticity is measured as (maximal PA area – minimum area) / minimum area, using phase-contrast MRI, on the transverse perpendicular plane. It may be valuable for the detection of exercise induced pulmonary hypertension or earlier stages of pulmonary vascular disease (69).

Quantification of blood flow

Three-dimensional time-resolved (4D) flow MRI is an evolving imaging technique that yields both a vector of blood velocity and the magnitude signal intensity over an imaging volume, for each temporal phase of the cardiac cycle. 4D flow MRI allows the evaluation of blood flow including valvular regurgitation (Figure 4, left panel), quantification of biventricular volumes, function and mass, and visualization of intracardiac and extracardiac structures (70,71). A recent study demonstrated that RV volume, function, and mass can be quantified with 4D flow MRI with precision and inter-observer agreement comparable to that of cine Steady-State Free Precession (SSFP) (72). Whole heart 4D flow MRI also enables detection and visualization of both normal and abnormal right heart flow patterns (73). In patients with PH, 4D flow MRI often demonstrates a vortex pulmonary artery flow pattern (as shown in Figure 4, right panel (74)); the relative period of existence of the vortex significantly correlates to the mean pulmonary artery pressure (74,75). Peak systolic velocity, peak flow, stroke volume, and wall shear stress by 4D flow MRI are significantly lower in patients with PAH compared with healthy subjects (76,77). The prognostic value of 4D flow MRI still need to be proven; however it could offer in the future a noninvasive alternative to catheterization for flow assessment and may help early detection of RV dysfunction.

Figure 4. Four-dimensional flow MR imaging of a patient with pulmonary valvular disease (left); patients with pulmonary hypertension compared to a healthy control (right panel). Left panel.

Figure 4

Flow pattern of a patient with both pulmonary regurgitation (A and B, acquired during diastole) and pulmonary stenosis (D and C, acquired during systole). PA indicates main pulmonary artery; PV, pulmonary valve; and RV, right ventricle. Right panel: Typical flow patterns in the RV outflow tract at different cardiac phases for a patient with manifest PH (A, D, and G), a patient with latent PH (B, E, and H), and a normal subject (C, F, and I). At maximum outflow (A through C), flow profiles were distributed homogenously across the cross sections of the main pulmonary artery in manifest PH (A), latent PH (B), and normal (C). In later systole (D through F), a vortex was formed in manifest PH (D). No such vortex could be found in latent PH (E) or normal (F). After pulmonary valve closure (G through I), the vortex in patients with PH persisted for some time. In all cases, continuous diastolic blood flow upward along the anterior wall of the main pulmonary artery could be observed. Although this phenomenon disappeared quickly in controls (I), it was observed significantly longer in latent PH (H) and manifest PH (G). (Right panel adapted from Reiter et al. Circ Cardiovasc Imaging, 2008 (74)).

What is new in Computed Tomography imaging?

In patients with PH, computed tomography (CT) angiography is widely used to rule out chronic thromboembolic pulmonary hypertension and underlying lung disease, as well as to characterize precise anatomy in the setting of congenital heart defects (78). A recent study evaluated the utility of routinely performed non-ECG chest CT to screen for PH. Spruitj et al. showed that both PA dilation (ratio relative to the ascending aorta diameter ≥1) and RV enlargement (ratio relative to the LV diameter ≥1.2), measured on the axial view, were incremental for the detection of PH in 51 patients with advanced pre-capillary PH versus 25 non-PH controls (79). The application of this screening detection in a large population still remains to be done.

Molecular imaging, a deeper view into the biology of the right heart

Multiple molecular changes occur in a failing RV exposed to an increased afterload. Four of them represent potential targets for imaging. The first target derives from the RV metabolic shift from lipolysis towards glycolysis, which has been linked to worse ventricular function and poor survival (80). The increased uptake by the cardiomyocytes of the alternative source of energy (glucose) can be easily quantified using PET 18F-2-deoxy-2-fluoro-D-Glucose (18F-FDG). An increase in the RV to LV ratio tracer uptake has been reported in patients with PAH (81). It remains, however, unclear whether this increased ratio is explained by an increased RV glucose uptake (82) or a decreased LV uptake (83). Moreover, preclinical studies have suggested that this metabolic shift may be transient during progression of RV failure (84), which compromises the relevance of RV 18F-FDG uptake as a routine biomarker in PAH. The second target is the myocardial oxygen consumption, which can be imaged using 15O-labeled tracer or 11C-acetate tracers. An increased resting oxygen consumption by the RV, and hence a reduced efficiency has been shown in patients with PAH (85). Neurohormonal dysregulation is the third target. There has been growing evidence of the importance of upregulated sympathetic nervous system and renin-angiotensin-aldosterone system in the pathophysiology of RHF in PAH (86). Finally, angiogenesis and apoptosis are additional promising targets for detection of maladaptive RV in PH (87). While these processes have been imaged in LV diseases (88) and PH animal models, their clinical application in PAH is still pending.

New insights in right heart hemodynamics

Although the review focuses on right heart imaging, hemodynamics remains one of the most important biomarker that helps guide management in patients with PH and right-sided disease. In addition to right atrial and pulmonary pressures, three important parameters or ratio may be of clinical utility: 1) RV diastolic pressure waveforms, 2) relative PH (defined as the mean pulmonary to mean arterial pressure ratio, MPAP/MAP), 3) indices of load adaptability.

Displaying the right ventricular waveform provides insights for monitoring and management of patients. Using a pulmonary arterial catheter and transducing the RV pacing port (Paceport, Edwards Lifescience, Irvine, California), continuous RV and PA pressure waveforms can be obtained (89). As RV dysfunction occurs, the shape of the diastolic waveform progressively changes, from horizontal to an oblique aspect, followed by the appearance of a square-root sign suggesting progressive loss in RV diastolic compliance (Figure 5). These modifications observed on the RV pressure waveform can also be diagnosed using careful central venous pressure waveform analysis and Doppler hepatic and portal venous flow interrogation (90). The second metric is the relative estimation of MPAP. In case of RV failure, pulmonary pressure (MPAP) can be underestimated as it can be reduced proportionally to the decrease in systemic pressures, for example following anesthesia induction. The value of the MPAP/MAP ratio has previously been shown as the best hemodynamic predictor of post-op circulatory failure (91). The ratio is additionally associated with long term in aortic valve survival (92) and correlates with ventricular septal curvature (4). Finally, there has been a growing interest in proposing invasive load adaptability indices such as the RV functional index (RFI) measured as the systolic pressure divided by cardiac index (69). The RFI can be used to evaluate the extent to which elevated PA pressure is associated with preserved RV function. Elevated RFI may result from increasing PA pressure or decreasing cardiac index, both indicative of RV failure. Increased RFI has been associated to poor survival in 53 patients admitted to the intensive care unit with severe PH (69) and in 1439 patients undergoing cardiac surgery (91).

Figure 5. Right ventricular pressure (RVP), right atrial pressure (RAP), hepatic venous flow (HVF) and portal venous flow (PoVF) in normal patients (A,D,G,J) and typical patterns commonly observed in patients with mild (B,E,H,K) and severe (C,F,I,L) right ventricular dysfunction.

Figure 5

AR, atrial reversal HVF velocity; D, diastolic HVF Doppler velocity; Ppa, pulmonary artery pressure; Prv, right ventricular pressure, S, systolic HVF velocity. (Adapted from Haddad et al. Curr Opin Anaesthesiol, 2016 (3)).

Conclusions

The recent improvements in right heart imaging bring perspective into the physiology of the right heart, help early detection and prognostic stratification, and slowly bring the field in the new era of imaging biomarker guided management. Table 5 summarizes the six challenging unmet needs in the field of imaging of the right heart that are expected to be resolved in the coming ten years.

Table 5.

A look into the future of imaging the right heart.

Unmet needs and future directions
Echocardiography - Validation of simple diagnostic and prognostic scores
- Identifying useful load-adaptability indices
- Compare the value of deformation imaging strain compared to end-systolic dimension for early detection of dysfunction and risk stratification
Magnetic Resonance
Imaging
- Early detection of myocardial fibrosis and adverse remodeling using native T1 mapping sequences
Computed
Tomography
- Validation of quantitative assessment of right ventricular morphology in routine chest computed tomography
Positron Emission
Tomography
- Use of metabolic phenotype to tailor clinical care and management in patients with right heart failure

Supplementary Material

Supplementary Tables

Key points.

  1. Although having anatomic and embryological basis, the separation between the right and the left ventricles is in part physiologically artificial.

  2. Myocardial deformation imaging has gathered strong interest in imaging of the right heart; future studies will need to assess its value compared to end-systolic metrics.

  3. Load-adaptability metrics can help answer the question of “proportionality” of ventricular adaptation to pulmonary hypertension.

  4. Right ventricular (RV) myocardial fibrosis can be detected using Magnetic Resonance Imaging (MRI) late gadolinium enhancement and T1 mapping; 4D flow MRI is a promising tool for blood flow quantification.

  5. Molecular imaging, such as positron emission tomography, provides information on the RV metabolism.

Acknowledgments

We would like to warmly thank Prof. Dominik Fleischmann (from the Division of Radiology, at Stanford University, USA) for his assistance with the review and mentorship, and Prof. Marlene Rabinovitch (from the Vera Moulton Wall Center and the Cardiovascular Institute, Stanford School of Medicine, Stanford University, USA) for her mentorship. We would also like to thank Dr. Marcus Chen (from the NHLBI - NIH, USA) for his permission to reproduce Table S1, as well as Prof. Olaf Mercier and Dr. David Boulate (from the Marie Lannelongue Hospitals, Le Plessis Robinson, France) for their authorization to reproduce Figure 1.

Financial support and sponsorship

This work was supported by the Stanford Cardiovascular Institute, the Vera Moulton Wall Center of Pulmonary Hypertension (Stanford University, Stanford, CA) and a NIH/NHLBI grant 5R01HL07418609. Dr. Myriam Amsallem received a Young Investigator Seed Grant from the Vera Moulton Wall Center of Pulmonary Hypertension at Stanford University.

Footnotes

Conflict of interest

None.

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