Abstract
The left ventricular (LV) remodeling process associated with significant valvular heart disease (VHD) is characterized by an increase of myocardial interstitial space with deposition of collagen and loss of myofibers. These changes occur before LV systolic function deteriorates or the patient develops symptoms. Cardiovascular magnetic resonance (CMR) permits assessment of reactive fibrosis, with the use of T1 mapping techniques, and replacement fibrosis, with the use of late gadolinium contrast enhancement. In addition, functional consequences of these structural changes can be evaluated with myocardial tagging and feature tracking CMR, which assess the active deformation (strain) of the LV myocardium. Several studies have demonstrated that CMR techniques may be more sensitive than the conventional measures (LV ejection fraction or LV dimensions) to detect these structural and functional changes in patients with severe left-sided VHD and have shown that myocardial fibrosis may not be reversible after valve surgery. More important, the presence of myocardial fibrosis has been associated with lesser improvement in clinical symptoms and recovery of LV systolic function. Whether assessment of myocardial fibrosis may better select the patients with severe left-sided VHD who may benefit from surgery in terms of LV function and clinical symptoms improvement needs to be demonstrated in prospective studies. The present review article summarizes the current status of CMR techniques to assess myocardial fibrosis and appraises the current evidence on the use of these techniques for risk stratification of patients with severe aortic stenosis or regurgitation and mitral regurgitation.
Keywords: Cardiovascular magnetic resonance, Valvular heart disease, Mitral regurgitation, Aortic stenosis, Aortic regurgitation, Late gadolinium enhancement, T1 mapping, Tagging, Feature tracking
Introduction
Valvular heart disease (VHD) is an important public-health problem with an increasing prevalence along with ageing of the population [1]. Moderate and severe VHD on echocardiography affects 2.5% of the population of the United States and increases up to 11.7% in the group of patients aged 75 and older [2]. The decision to operate in patients with severe VHD is frequently complex and relies on an individual risk–benefit analysis. In general, improvement in prognosis compared with natural history of the disease should outweigh the risk of intervention and its potential late consequences, particularly prosthesis-related complications. Current guidelines recommend to intervene in patients with symptomatic severe VHD and in asymptomatic patients with reduced left ventricular (LV) ejection fraction, LV dilatation, pulmonary hypertension, right ventricular dilatation and dysfunction and presence of atrial fibrillation [1, 3]. However, most of these adverse consequences of severe VHD are observed in advanced stages of the disease and are partially irreversible after intervention, leading to suboptimal long-term clinical outcomes [4]. Therefore, additional markers that identify early structural and functional consequences of severe VHD before irreversible damage of the myocardium occurs would help to redefine the optimal timing for intervention.
Chronic pressure and volume overload caused by severe left-sided VHD results in LV remodeling. Changes in the extracellular matrix with deposition of collagen I and loss of myofibers at a later stage result in myocardial fibrosis, the hallmark of LV remodeling [5, 6]. Cardiovascular magnetic resonance (CMR) imaging techniques permit direct and indirect assessment of myocardial fibrosis. T1 mapping and late gadolinium enhancement (LGE) permit myocardial tissue characterization and provide measures of direct myocardial fibrosis whereas CMR tagging and feature tracking CMR allow for assessment of myocardial deformation (strain), a functional parameter that indirectly reflects myocardial fibrosis. In addition, advances in molecular CMR imaging provide high-specificity tools for detection of myocardial fibrosis. This article provides an overview of current CMR techniques to assess myocardial fibrosis in patients with left-sided VHD.
CMR techniques for direct assessment of myocardial fibrosis
LV remodeling in response to chronic pressure and volume overload caused by VHD is characterized by progressive increase of the interstitial space with increased collagen volume fraction (reactive fibrosis) and eventually apoptosis of myocardial cells which are replaced by firm fibrous tissue (replacement fibrosis or scar). T1 mapping and LGE CMR techniques are currently the most frequently used techniques to directly assess myocardial fibrosis (Table 1).
Table 1.
CMR technique | Availability | Fibrosis specificity | Advantages | Limitations | Experience in VHD |
---|---|---|---|---|---|
T1 mapping (native T1 and ECV quantification) | ++ | +++ | Assessment of diffuse fibrosis, early disease changes (preclinical stages). Quantification of the degree of fibrosis | Multiple methodologies, no standardized reference values, overlap between normal and diseased myocardium | ++ |
Late gadolinium enhancement | +++ | +++ | Reference standard for assessment of replacement fibrosis | Focal fibrosis assessment only | +++ |
Molecular imaging | ± | ++++ | Improved visualization of fibrosis, investigation of underlying processes (necrosis, apoptosis, inflammation, scar maturation…) | Experimental technique, animal studies only | – |
CMR tagging | ++ | + | Current gold standard for myocardial deformation assessment, high reproducibility of the results | Expertise, additional scan sequences, time consuming post-processing, tag fading through cardiac cycle (only with some techniques), limited in assessment of thin myocardium | ++ |
Feature tracking CMR | +++ | + | Post-processing of SSFP cines (no additional scan sequences), relatively fast post-processing, high feasibility | Susceptible to through-plane motion artifacts, limited inter-vendor agreement | + |
CMR cardiovascular magnetic resonance, ECV extracellular volume, SSFP steady state free precession, VHD valvular heart disease
CMR T1 mapping
The longitudinal magnetization relaxation time of the myocardium, so-called T1 time, is highly sensitive to processes that increase the interstitial space and can be quantified with various techniques [7]. One of the most commonly used in clinical practice is the modified Look-Locker pulse sequence where multiple single-shot images are acquired intermittently in diastole during 9–17 cardiac cycles and the inversion recovery curves are generated (Fig. 1, panels A and B). The T1 time can be obtained for any myocardial segment and T1 maps can be generated by determining the T1 time at each pixel location (Fig. 1, panel C). Three T1 mapping-derived metrics have been proposed as markers of increased myocardial fibrosis: the native T1 time, the post-contrast T1 time and the myocardial extracellular volume (ECV). With the increase of interstitial fibrosis, the native T1 values (without the use of gadolinium contrast) become longer whereas the post-contrast T1 values become shorter. By combining them, myocardial ECV fraction can be computed, which quantifies the extracellular matrix space. In the absence of amyloid deposition or edema, collagen I is the main component of the extracellular matrix space and therefore the myocardial ECV fraction is considered a robust marker of myocardial fibrosis [8–10]. The added value of these metrics over LGE is the ability to quantify the degree of fibrosis and, particularly, to detect diffuse interstitial fibrosis, often associated with early stages of the disease.
However, it should be noted that the cut-off values of the T1 mapping-derived metrics to define fibrosis cannot be currently established since the values show considerable overlap in normal and diseased myocardium [11]. Moreover, neither of the techniques is entirely specific to myocardial fibrosis; abnormal myocardial ECV fraction can be observed in infiltrative diseases (i.e., amyloidosis) and edema, while native T1 values may also be altered in iron deposition and diffuse fat infiltration [12]. Furthermore, standardization of CMR T1 mapping techniques is necessary to obtain reproducible measurements across different vendors and institutions.
Late gadolinium contrast enhanced CMR
LGE CMR is considered the reference standard to quantify myocardial replacement fibrosis and scar. The increased extracellular space and decreased capillary density of the fibrous tissue result in increased volume of distribution and prolonged wash-out of gadolinium in comparison to the normal myocardium [13]. 10–20 min after intravenous administration of gadolinium, inversion recovery images are acquired in mid to late diastole. The inversion time is chosen to null the normal myocardium and provide the best tissue contrast between fibrous tissue, which appears bright, and normal myocardium, which appears black. Distinct patterns of LGE have been described in various cardiac diseases and associated with adverse prognosis [14–19] (Fig. 2).
Molecular magnetic resonance imaging
Molecular magnetic resonance imaging with the use of collagen-specific contrast agents is a new experimental method for the assessment of myocardial fibrosis. These novel contrast agents have shown to improve visualization of scar and perfusion defects in animal models of myocardial infarction [20, 21]. Furthermore, an elastin/tropoelastin-targeting contrast agent has provided interesting insights into the pathophysiology of remote myocardium extracellular matrix remodeling in a mice model of acute myocardial infarction [22]. Several other molecular probes have been synthesized to study individual processes involved in fibrosis formation, like necrosis, apoptosis, inflammation and scar maturation [23]. Further efficacy and safety studies are needed before clinical implementation. However, the current evidence is promising for future improvements in fibrosis detection and monitoring of molecular processes associated with myocardial remodeling.
CMR techniques for indirect assessment of myocardial fibrosis
The functional consequences of myocardial fibrosis such as increased LV stiffness, impaired LV diastolic and systolic function, can be evaluated with CMR tagging and feature tracking CMR (Table 1). These techniques evaluate the active deformation (strain) of the myocardium in three orthogonal directions: radial, circumferential and longitudinal. In patients with VHD, the measurement of LV ejection fraction, which merely reflects the change in LV volumes between systole and diastole, may be misleading. For example, in patients with mitral regurgitation, LV ejection fraction may be preserved for long time since the LV is emptying in a low-pressure chamber (left atrium) while myocardial longitudinal strain may be impaired [24]. In patients with severe aortic stenosis, the LV hypertrophy, developed in response to the pressure overload, reduces the wall stress and maintains the LV ejection fraction. However, myocardial longitudinal strain may be impaired [25]. CMR tagging and feature tracking CMR track distinctive features of the myocardium throughout the cardiac cycle and calculate mechanical indices, such as strain, strain-rate, twist and torsion.
CMR tagging
This method is based on alteration of the myocardial tissue magnetization to create trackable markers within the myocardium which are visualized as dark lines in the form of a grid pattern. This allows immediate visual assessment of myocardial deformation, but for a more objective approach and quantification additional post-processing is employed. Recent developments in pulse sequences and image processing have resulted in a plethora of new tagging techniques [26]. The main advantage of CMR tagging over feature tracking CMR is that the imposed tags are more clearly defined and easier tracked than the natural features and are not subjected to through plane displacements, thereby providing more reproducible measurements [27]. The main shortcomings of this technique are the need for additional, elaborate scan sequences with limited accuracy when applied to thin myocardium (such as the remodeled, thinned-wall LV, the right ventricle and the atria) and the time-consuming post-processing.
Feature tracking CMR
Feature tracking CMR is based on post-processing of standard steady state free precession cine images, similar to echocardiographic speckle tracking. Feature tracking CMR algorithms focus on the endo- and epicardial borders and detect the in- and outward motion of the cavity-tissue interface [27, 28]. Global and segmental LV longitudinal, circumferential and radial strain, strain-rates, and LV rotational mechanics can be derived from standard long- and short-axis views (Fig. 3). Global rather than segmental strain values appear the most reproducible [29–31]. Additional methodology standardization is an important prerequisite for wider dissemination of this technique in clinical practice.
CMR left ventricular myocardial fibrosis assessment in VHD: clinical evidence
Accumulating evidence on the deleterious impact of LV myocardial fibrosis on clinical outcomes after surgical treatment of left-sided VHD has raised interest on tissue characterization and LV strain with CMR techniques [19, 32–36]. This evidence is summarized for aortic stenosis (AS) and regurgitation (AR) and for mitral regurgitation (MR) in the following sections.
Aortic stenosis
The pressure overload caused by AS increases LV wall stress and as a consequence the myocardium responds with myocyte hypertrophy to maintain LV systolic function. This myocardial hypertrophy is characterized by an increased muscle fiber diameter with parallel addition of new myofibrils [37]. Furthermore, there is an increase of interstitial fibrosis and myocyte apoptosis, partially as a consequence of oxygen supply–demand mismatch and myocardial ischemia [37–39]. At a late stage in the natural history of severe AS, the LV myocardium is characterized by large areas of myocyte loss and replacement fibrosis causing LV systolic dysfunction and associated with poor prognosis [38].
The early changes in the interstitial space with increased deposition of collagen I can be assessed with CMR T1 mapping (Table 2) [8, 34, 40–46]. Several studies have validated LV native T1 values and myocardial ECV fraction against histology in patients with AS undergoing aortic valve replacement [8, 34, 40, 41]. In 109 patients with moderate and severe AS, Bull and colleagues showed that LV native T1 values were significantly higher among patients with symptomatic severe AS compared with moderate and asymptomatic severe AS (1014 ± 38 vs. 955 ± 30 and 972 ± 33 ms, respectively; p < 0.05) (Fig. 4) [40]. A significant correlation was observed between native T1 values and collagen volume fraction assessed on myocardial biopsies (R = 0.65, p = 0.002). Similarly, Flett and coworkers validated the measurement of myocardial ECV fraction in 18 patients with severe AS [8]. ECV strongly correlated with the histological collagen volume fraction (R2 = 0.86; p < 0.001). Although still not implemented in routine clinical practice, the measurement of myocardial ECV in patients with AS has important clinical implications [34, 43–46]. Increased ECV has been associated with symptoms, worse LV systolic and diastolic function, higher levels of cardiac troponin T and ECG strain [34, 43–46]. Recently, Chin et al. reported the prognostic implications of myocardial ECV fraction corrected for LV end-diastolic myocardial volume normalized to the body surface area (iECV) in 166 patients with mild to severe AS [34]. Patients with increased myocardial iECV (≥22.5 ml/m2) but without LGE (replacement fibrosis) showed significantly higher all-cause mortality and AS-related mortality rates (36 per 1000 patients-year for both) as compared to the patients with normal myocardium (iECV < 22.5 ml/m2, 8 and 0 deaths/1000 patient-years) (Fig. 5).
Table 2.
Study | No. of patients | Valve disease | CMR technique | Main findings |
---|---|---|---|---|
Bull et al. [40] | 109 | AS | Native T1 mapping | Native T1 values increased along with hemodynamic severity of AS and correlated with the degree of biopsy-quantified fibrosis (R = 0.65; p = 0.002; N = 23) |
Lee et al. [41] | 80 | AS | Native T1 mapping | Native T1 values at 3T CMR were significantly longer in asymptomatic patients with moderate to severe AS compared to normal controls |
Flett et al. [8] | 18 | AS | ECV | ECV correlated strongly with collagen volume fraction on histology (R2 = 0.86; p < 0.001) |
Dusenbery et al. [44] | 35 | AS | ECV | ECV was significantly higher in patients with congenital AS than in normal subjects |
Flett et al. [43] | 66 | AS | ECV | Patients with severe AS had higher ECV than normal controls |
Chin et al. [34] | 166 | AS | iECV, LGE | Increased iECV was associated with increased all-cause mortality compared to patients with normal iECV (36 vs. 8 deaths/1000 patient-years, respectively) |
Chin et al. [45] | 122 | AS | ECV, LGE | ECV and percent of midwall replacement fibrosis (LGE) were associated with increased high-sensitivity cardiac troponin I levels |
Shah et al. [46] | 102 | AS | ECV, LGE | LGE and ECV were associated with ECG strain in patients with mild to severe AS |
Debl et al. [47] | 22 | AS | LGE | LGE was associated with severe LV hypertrophy |
Rudolph et al. [48] | 21 | AS | LGE | LGE was associated with increased LV mass index and LV end-diastolic volume index. LGE was not associated with the severity of AS |
Dweck et al. [19] | 143 | AS | LGE | Midwall fibrosis on LGE CMR was associated with higher mortality than infarct-type LGE (HR 8.59; 95% CI 1.97–37.38; p = 0.004 and HR 6.46; 95% CI 1.39-30.00; p = 0.017, respectively) |
Barone-Rochette et al. [32] | 154 | AS | LGE | LGE was an independent predictor of all-cause and cardiovascular mortality in patients with severe AS undergoing surgical valve replacement (HR for all-cause mortality: 2.8; 95% CI 1.3–6.9; p = 0.025) |
Weidemann et al. [49] | 58 | AS | LGE | The extent of LGE in patients with symptomatic severe AS undergoing aortic valve surgery correlated with biopsy-quantified myocardial fibrosis and remained unchanged at 9 months after surgery |
Azevedo et al. [33] | 54 | AS + AR | LGE | LGE correlated with the extent of fibrosis on histology (r = 0.69, p < 0.001) and demonstrated significant inverse correlation with the LVEF improvement after surgery (r=-0.47, p = 0.02) LGE was associated with worse long-term survival (Chi square = 5.85; p = 0.02) |
Singh et al. [51] | 174 | AS | LGE | Patients with asymptomatic moderate and severe AS who presented with valve related complications during follow-up showed comparable extent of LGE than patients who remained asymptomatic |
Schneeweis et al. [54], Singh et al. [55] | 30, 18 | AS | CMR tagging, feature tracking CMR | Reasonable agreement between both techniques, but feature tracking CMR yielded higher strain values than CMR tagging |
Mahmod et al. [57] | 39 | AS | CMR tagging | Patients with AS had impaired LV strain compared to controls |
Al Musa et al. [56] | 42 | AS | CMR tagging, feature tracking CMR | Longitudinal strain rate was impaired in symptomatic vs. asymptomatic patients with severe AS and preserved LVEF (−83.4 ± 24.8%/s and − 106.3 ± 43.3%/s, respectively; P = 0.048) |
Musa et al. [36] | 98 | AS | CMR tagging | Impaired mid-LV circumferential strain was associated with all-cause mortality after aortic valve replacement (HR 1.03; 95% CI 1.01–1.05; p = 0.009) |
Meyer et al. [58] | 44 | AS | Feature tracking CMR | Peak systolic LV strain of the apical segments was significantly impaired in transapical versus transfemoral transcatheter aortic valve replacement |
Sparrow et al. [62] | 8 | AR | T1 mapping | Post-contrast T1 values in abnormally contracting segments were prolonged compared to controls (532 vs. 501 ms, respectively; p = 0.002) |
de Meester de Ravenstein [63] | 9 | AR | ECV | ECV measured on 3T CMR was strongly correlated with the extent of interstitial fibrosis on histology in patients with severe AR (r = 0.79, p = 0.011) |
Pomerantz et al. [64] | 14 | AR | Myocardial tagging | Global longitudinal and circumferential strain were decreased 2 years after aortic valve replacement, despite an improvement in LVEF and LV size |
Ungacta et al. [65] | 8 | AR | Myocardial tagging | Posterior wall circumferential strain was decreased 6 months after surgery |
Edwards et al. [68] | 35 | MR | ECV, native T1 mapping, LGE | Patients with moderate to severe primary MR had higher ECV compared to controls (0.32 ± 0.07 vs. 0.25 ± 0.02, respectively; p < 0.01) |
Han et al. [69] | 25 | MR | LGE | LGE of the papillary muscles was present in 63% of patients with MV prolapse |
Chaikriangkrai et al. [35] | 48 | MR | LGE | The presence of LV LGE in chronic severe MR was associated with worse clinical outcomes (HR 4.8; 95% CI 1.1–20.7; p = 0.037) |
Maniar et al. [70] | 15 | MR | CMR tagging | Patients with chronic moderate and severe MR and preserved LVEF had impaired septal LV strain values compared to normal controls |
Mankad et al. [71] | 7 | MR | CMR tagging | Patients with severe MR and preserved LVEF had reduced circumferential strain compared to controls (12 ± 6 vs. 21 ± 6%, respectively; p ≤ 0.001) |
Ahmed et al. [72], Schiros et al. [73], Ahmed et al. [74] | 27 35 22 |
MR | CMR tagging | Global longitudinal and circumferential strain parameters were decreased after MV repair |
AS aortic stenosis, AR aortic regurgitation, CMR cardiovascular magnetic resonance, ECV extracellular volume, HR hazard ratio, ICU intensive care unit, iECV indexed extracellular volume, LGE late gadolinium enhancement, LV left ventricle, LVEF left ventricular ejection fraction, MR mitral regurgitation
LGE, myocardial replacement fibrosis, is detected in 19–62% of patients with severe AS [19, 32, 47, 48]. Two forms of LGE can be observed: the ischemic and the non-ischemic pattern. The ischemic pattern is characterized by subendocardial LGE along specific coronary artery territories whereas in the non-ischemic pattern the distribution of LGE can be diffuse, (multi)focal or linear, confined or patchy, and is predominantly located in the midwall myocardial layer and does not correspond to a specific coronary artery territory (Fig. 2) [19, 32, 47, 48]. The presence and the extent of LGE have been associated with increased LV mass, worse LV ejection fraction, the presence of symptoms, markers of myocardial injury such NT-pro-brain natriuretic peptide and high-sensitivity cardiac troponins and ECG strain (Table 2) [19, 32, 45, 46, 48, 49]. However, LGE was not significantly associated with transaortic gradients or the aortic valve area, common indices of AS severity [19, 32, 48], suggesting that there is different individual susceptibility to develop LV hypertrophy and myocardial fibrosis, likely influenced by multiple factors such as advanced age, male sex, obesity and certain genetic variants [50].
In addition, LGE is an important prognostic marker in patients with AS [19, 32, 33]. In 143 patients with moderate and severe AS who were followed for 2.0 ± 1.4 years, the presence of LGE was associated with an increase in all-cause and cardiac mortality (every 1% increase in LGE mass was associated with 5% increased risk of all-cause mortality; p = 0.005) [19]. When dividing the population according to the pattern of LGE, patients with midwall fibrosis (N = 54) had higher mortality than patients with infarct-type LGE (N = 40) (HR 8.59; 95% CI 1.97–37.38; p = 0.004 and HR 6.46; 95% CI 1.39–30.00; p = 0.017, respectively). Furthermore, in 154 patients with severe AS undergoing surgical aortic valve replacement, the presence of LGE was an independent predictor of all-cause and cardiovascular mortality (HR for all-cause mortality: 2.8; 95% CI 1.3–6.9; p = 0.025) [32]. Importantly, after aortic valve replacement, LGE does not completely regress and has been associated with incomplete LV functional recovery, worse New York Heart Association functional class and worse survival (Fig. 6) [32, 33, 49]. However, detection of LV myocardial fibrosis in patients with asymptomatic moderate and severe AS seems insufficient to identify the patients who will present valve related complications. In the prognostic importance of microvascular dysfunction in aortic stenosis (PRIMID AS) study, including 174 patients with asymptomatic moderate to severe AS, the group of patients who presented with cardiovascular death, major adverse cardiovascular events and development of typical AS symptoms, necessitating referral for aortic valve replacement, showed comparable extent of LGE than patients who remained asymptomatic or free of valve related complications during follow-up [51].
Interstitial and replacement myocardial fibrosis lead to impaired LV myocardial deformation which can be detected with strain imaging. Myocardial tagging and feature tracking CMR demonstrated that global as well as regional LV strains were significantly correlated with LGE extent in patients with hypertrophic cardiomyopathy, who exhibit a similar pattern of midwall fibrosis to patients with AS [52, 53]: global and regional LV strain values impair as LGE increases. Head-to-head comparisons between tagged and feature tracking CMR in moderate to severe AS have shown reasonable agreement for LV strain measurement, albeit feature tracking provided systematically higher values than CMR tagging [54, 55]. The correlation between CMR LV circumferential and longitudinal strain and strain rate and symptomatic status of patients with severe AS and preserved LV ejection fraction was demonstrated by Al Musa et al. [56]. LV longitudinal strain rate was the most sensitive parameter to discriminate between asymptomatic versus symptomatic patients (−106.3 ± 43.3%/s in patients with “no/mild” symptoms vs. −83.4 ± 24.8%/s in moderate and severely symptomatic patients; P = 0.048). The association between LV myocardial strain and outcomes after surgical or transcatheter treatment was demonstrated in two studies [36, 57]. Mahmod and coworkers showed that global LV circumferential, but not longitudinal strain measured on CMR significantly improved at 8 months after aortic valve replacement [57]. Similarly, LV circumferential strain by CMR tagging was significantly associated with all-cause mortality in 98 severe AS patients undergoing surgical and transcatheter aortic valve replacement (HR per each 1% deterioration of circumferential strain: 1.03; 95% CI 1.01–1.05; p = 0.009) [36]. Furthermore, the effect of procedural access (transfemoral vs. transapical) on LV mechanics was studied with CMR feature tracking in 44 patients undergoing transcatheter aortic valve replacement [58]. The transapical approach was associated with impaired peak systolic longitudinal strain of the apical segments as compared to the transfemoral approach (−8.9 ± 5.3 vs. −16.9 ± 4.3%, respectively; p < 0.001), while there were no differences in LV ejection fraction and peak systolic longitudinal strain of the basal and midventricular segments between both approaches (Fig. 7).
Aortic regurgitation
In aortic regurgitation (AR), pressure and volume overload induce growth of cardiomyocytes with addition of new sarcomeres in series and interstitial fibrosis, characterized by increased fibronectin and non-collagen components [59]. Several clinical studies have histologically proven pronounced myocardial fibrosis in severe AR at the time of valve surgery [37, 60, 61]. A few studies have also evaluated myocardial fibrosis with CMR [33, 62, 63]. Sparrow et al. compared myocardial T1 values measured with a modified Look-Locker technique before and after gadolinium contrast in eight patients with severe AR and 15 normal controls [62]. Patients with AR had significantly prolonged post-contrast T1 values in abnormally contracting segments compared to the controls (532 vs. 501 ms, respectively; p = 0.002), suggesting increased interstitial fibrosis. Furthermore, in nine patients with severe AR who underwent surgical aortic valve replacement, ECV measured on 3T CMR was strongly correlated with the extent of interstitial fibrosis on histology (r = 0.79, p = 0.011) [63]. Replacement fibrosis has been also described in 26 patients with severe AR by Azevedo et al. [33]. The authors reported a 69% prevalence of LGE, mostly following a multifocal pattern. The correlation between myocardial replacement fibrosis assessed with LGE and histopathology was good (r = 0.70, p < 0.001). Moreover, in a combined cohort of 26 patients with severe AR and 28 patients with severe AS, the amount of myocardial fibrosis was inversely correlated with LV functional improvement (r = −0.47; p = 0.02) and was associated with worse long-term survival after aortic valve replacement surgery (Chi square = 5.85; p = 0.02) (Fig. 6) [33]. Furthermore, in 14 patients with chronic severe AR, myocardial CMR tagging showed an impairment in global longitudinal and circumferential strain at 2 years after aortic valve replacement (p < 0.03 for both), despite an improvement in LV ejection fraction and a decrease in LV size (Fig. 8) [64]. Similarly, Ungacta et al. showed a decrease in posterior wall circumferential strain in patients with AR 6 months after valve replacement [65]. These findings suggest that the presence of LV myocardial fibrosis in patients with AR is a marker of adverse remodeling that may lead to further deterioration in LV strain and poor prognosis after aortic valve surgery.
Mitral regurgitation
Mitral regurgitation (MR) is a heterogeneous disease, broadly classified as organic (primary) or functional (secondary) based on the underlying mechanism. Organic MR is due to intrinsic valvular disease whereas functional MR is caused by regional and/or global LV remodeling without structural abnormalities of the mitral valve [66]. Degenerative mitral valve disease (myxomatous disease and fibroelastic deficiency) is the most frequent etiology of primary MR in developed countries. The indication for mitral valve repair/replacement is determined by the presence of symptoms or LV function deterioration and LV remodeling [1, 3]. However, LV remodeling and myocardial fibrosis may occur before the development of symptoms. Chronic LV volume overload associated with MR leads to myocardial hypertrophy and increased interstitial fibrosis [67]. In 35 asymptomatic patients with moderate to severe primary MR, Edwards et al. demonstrated higher ECV on CMR as compared to controls (0.32 ± 0.07 vs. 0.25 ± 0.02, p < 0.01) (Fig. 9) [68]. Furthermore, 31% of patients with MR exhibited a non-infarct LGE pattern on CMR. Patients who had non-infarct type LGE presented with higher ECV values compared to MR patients without LGE (0.35 ± 0.02 vs. 0.27 ± 0.03, p < 0.01). The ECV values correlated with LV end-systolic volume, measures of systolic and diastolic LV dysfunction as well as with peak oxygen consumption on treadmill testing. The distribution of LGE in patients with MR varies significantly. Han et al. demonstrated the presence of LGE of the papillary muscles in 63% of patients with MV prolapse [69] whereas Chaikriangkrai et al. observed LV replacement fibrosis in 40% of patients with chronic severe MR [35]. The presence of LV LGE was associated with worse clinical outcomes in terms of intensive care unit readmission, incidence of permanent pacemaker implantation and rehospitalization (HR 4.775; 95% CI 1.100–20.729; p = 0.037) [35].
These structural changes of the LV myocardium may be associated with subtle functional abnormalities. In 15 patients with chronic moderate and severe MR and preserved LV ejection fraction who underwent CMR with tissue tagging, Maniar et al. demonstrated preserved global longitudinal and circumferential strain but abnormal regional strain values: the septal LV segments exhibited impaired strain whereas the lateral segments showed compensatory hyper-contractility [70]. Similarly, Mankad et al. showed with CMR tagging abnormal regional strain patterns in patients with severe MR and preserved LV ejection fraction: while radial strain was increased (19 ± 9 vs. 16 ± 6%, p = 0.003), circumferential strain was reduced (12 ± 6 vs. 21 ± 6%, p ≤ 0.001) as compared to healthy controls [71]. Several authors have demonstrated a decrease in global longitudinal and circumferential strain parameters on CMR tagging in patients with severe degenerative MR after mitral valve repair, which might imply an ongoing myocardial fibrosis after surgery [72–74].
Future perspectives
Tissue characterization and strain imaging with CMR have provided new insights into the pathophysiology of VHD. Current guidelines recommend valve surgery in severe symptomatic VHD or when LV function decreases [1, 3]. However, early detection of LV structural and functional changes may help to identify patients who may benefit from early surgery. It is conceivable that early relief of the pressure or volume overload would result in less damage to the LV and better outcome at follow-up. However, there are currently no prospective data to evaluate whether early surgical valve treatment results in better prognosis in VHD. It may be challenging as well to define the cut-off values of ECV, T1 times, LGE and LV myocardial strains for therapeutic intervention. Standardization in data acquisition and analysis are important issues to be resolved.
The early valve replacement guided by biomarkers of left ventricular decompensation in asymptomatic patients with advanced aortic stenosis (EVOLVED) is the first multicenter randomized controlled clinical trial that will investigate whether the early valve intervention in patients with asymptomatic severe AS and midwall fibrosis on CMR improves patients’ clinical outcomes compared to the standard care (NCT03094143). The results of this study may have an impact on future guidelines and recommendations on treatment of VHD.
Abbreviations
- AR
Aortic regurgitation
- AS
Aortic stenosis
- CMR
Cardiovascular magnetic resonance
- ECV
Extracellular volume
- iECV
Indexed extracellular volume
- LGE
Late gadolinium enhancement
- MR
Mitral regurgitation
- LV
Left ventricle/left ventricular
- VHD
Valvular heart disease
Compliance with ethical standards
Conflict of interest
The Department of Cardiology of the Leiden University Medical Center receives research grants from Biotronik, Boston Scientific, Medtronic, Edwards Lifesciences. Tomaz Podlesnikar has been awarded with a training grant of the European Society of Cardiology. Victoria Delgado received speaker fees from Abbott Vascular. Jeroen J Bax has no disclosures.
References
- 1.Joint Task Force on the Management of Valvular Heart Disease of the European Society of. Cardiology. European Association for Cardio-Thoracic Surgery. Vahanian A, et al. Guidelines on the management of valvular heart disease (version 2012) Eur Heart J. 2012;33:2451–2496. doi: 10.1093/eurheartj/ehs109. [DOI] [PubMed] [Google Scholar]
- 2.Nkomo VT, Gardin JM, Skelton TN, Gottdiener JS, Scott CG, Enriquez-Sarano M. Burden of valvular heart diseases: a population-based study. Lancet. 2006;368:1005–1011. doi: 10.1016/S0140-6736(06)69208-8. [DOI] [PubMed] [Google Scholar]
- 3.Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63:e57–e185. doi: 10.1016/j.jacc.2014.02.536. [DOI] [PubMed] [Google Scholar]
- 4.Enriquez-Sarano M, Sundt TM., 3rd Early surgery is recommended for mitral regurgitation. Circulation. 2010;121:804–811. doi: 10.1161/CIRCULATIONAHA.109.868083. [DOI] [PubMed] [Google Scholar]
- 5.Villari B, Campbell SE, Hess OM, Mall G, Vassalli G, Weber KT, Krayenbuehl HP. Influence of collagen network on left ventricular systolic and diastolic function in aortic valve disease. J Am Coll Cardiol. 1993;22:1477–1484. doi: 10.1016/0735-1097(93)90560-N. [DOI] [PubMed] [Google Scholar]
- 6.Mewton N, Liu CY, Croisille P, Bluemke D, Lima JA. Assessment of myocardial fibrosis with cardiovascular magnetic resonance. J Am Coll Cardiol. 2011;57:891–903. doi: 10.1016/j.jacc.2010.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Taylor AJ, Salerno M, Dharmakumar R, Jerosch-Herold M. T1 mapping: basic techniques and clinical applications. JACC Cardiovasc Imaging. 2016;9:67–81. doi: 10.1016/j.jcmg.2015.11.005. [DOI] [PubMed] [Google Scholar]
- 8.Flett AS, Hayward MP, Ashworth MT, et al. Equilibrium contrast cardiovascular magnetic resonance for the measurement of diffuse myocardial fibrosis: preliminary validation in humans. Circulation. 2010;122:138–144. doi: 10.1161/CIRCULATIONAHA.109.930636. [DOI] [PubMed] [Google Scholar]
- 9.Miller CA, Naish JH, Bishop P, et al. Comprehensive validation of cardiovascular magnetic resonance techniques for the assessment of myocardial extracellular volume. Circ Cardiovasc Imaging. 2013;6:373–383. doi: 10.1161/CIRCIMAGING.112.000192. [DOI] [PubMed] [Google Scholar]
- 10.Fontana M, White SK, Banypersad SM, et al. Comparison of T1 mapping techniques for ECV quantification. Histological validation and reproducibility of ShMOLLI versus multibreath-hold T1 quantification equilibrium contrast CMR. J Cardiovasc Magn Reson. 2012;14:88. doi: 10.1186/1532-429X-14-88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bulluck H, Maestrini V, Rosmini S, et al. Myocardial T1 mapping. Circ J. 2015;79:487–494. doi: 10.1253/circj.CJ-15-0054. [DOI] [PubMed] [Google Scholar]
- 12.Moon JC, Messroghli DR, Kellman P, et al. Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement. J Cardiovasc Magn Reson. 2013;15:92. doi: 10.1186/1532-429X-15-92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Croisille P, Revel D, Saeed M. Contrast agents and cardiac MR imaging of myocardial ischemia: from bench to bedside. Eur Radiol. 2006;16:1951–1963. doi: 10.1007/s00330-006-0244-z. [DOI] [PubMed] [Google Scholar]
- 14.Kim RJ, Wu E, Rafael A, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. 2000;343:1445–1453. doi: 10.1056/NEJM200011163432003. [DOI] [PubMed] [Google Scholar]
- 15.Wu E, Ortiz JT, Tejedor P, et al. Infarct size by contrast enhanced cardiac magnetic resonance is a stronger predictor of outcomes than left ventricular ejection fraction or end-systolic volume index: prospective cohort study. Heart. 2008;94:730–736. doi: 10.1136/hrt.2007.122622. [DOI] [PubMed] [Google Scholar]
- 16.Kwong RY, Chan AK, Brown KA, Chan CW, Reynolds HG, Tsang S, Davis RB. Impact of unrecognized myocardial scar detected by cardiac magnetic resonance imaging on event-free survival in patients presenting with signs or symptoms of coronary artery disease. Circulation. 2006;113:2733–2743. doi: 10.1161/CIRCULATIONAHA.105.570648. [DOI] [PubMed] [Google Scholar]
- 17.Assomull RG, Prasad SK, Lyne J, et al. Cardiovascular magnetic resonance, fibrosis, and prognosis in dilated cardiomyopathy. J Am Coll Cardiol. 2006;48:1977–1985. doi: 10.1016/j.jacc.2006.07.049. [DOI] [PubMed] [Google Scholar]
- 18.O’Hanlon R, Grasso A, Roughton M, et al. Prognostic significance of myocardial fibrosis in hypertrophic cardiomyopathy. J Am Coll Cardiol. 2010;56:867–874. doi: 10.1016/j.jacc.2010.05.010. [DOI] [PubMed] [Google Scholar]
- 19.Dweck MR, Joshi S, Murigu T, et al. Midwall fibrosis is an independent predictor of mortality in patients with aortic stenosis. J Am Coll Cardiol. 2011;58:1271–1279. doi: 10.1016/j.jacc.2011.03.064. [DOI] [PubMed] [Google Scholar]
- 20.Helm PA, Caravan P, French BA, et al. Postinfarction myocardial scarring in mice: molecular MR imaging with use of a collagen-targeting contrast agent. Radiology. 2008;247:788–796. doi: 10.1148/radiol.2473070975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Spuentrup E, Ruhl KM, Botnar RM, et al. Molecular magnetic resonance imaging of myocardial perfusion with EP-3600, a collagen-specific contrast agent: initial feasibility study in a swine model. Circulation. 2009;119:1768–1775. doi: 10.1161/CIRCULATIONAHA.108.826388. [DOI] [PubMed] [Google Scholar]
- 22.Protti A, Lavin B, Dong X, et al. Assessment of myocardial remodeling using an elastin/tropoelastin specific agent with high field magnetic resonance imaging (MRI) J Am Heart Assoc. 2015;4:e001851. doi: 10.1161/JAHA.115.001851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Jivraj N, Phinikaridou A, Shah AM, Botnar RM. Molecular imaging of myocardial infarction. Basic Res Cardiol. 2014;109:397. doi: 10.1007/s00395-013-0397-2. [DOI] [PubMed] [Google Scholar]
- 24.Marciniak A, Claus P, Sutherland GR, et al. Changes in systolic left ventricular function in isolated mitral regurgitation. A strain rate imaging study. Eur Heart J. 2007;28:2627–2636. doi: 10.1093/eurheartj/ehm072. [DOI] [PubMed] [Google Scholar]
- 25.Delgado V, Tops LF, van Bommel RJ, et al. Strain analysis in patients with severe aortic stenosis and preserved left ventricular ejection fraction undergoing surgical valve replacement. Eur Heart J. 2009;30:3037–3047. doi: 10.1093/eurheartj/ehp351. [DOI] [PubMed] [Google Scholar]
- 26.Ibrahim el SH. Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques–pulse sequences, analysis algorithms, and applications. J Cardiovasc Magn Reson. 2011;13:36. doi: 10.1186/1532-429X-13-36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pedrizzetti G, Claus P, Kilner PJ, Nagel E. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson. 2016;18:51. doi: 10.1186/s12968-016-0269-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S. Cardiovascular magnetic resonance myocardial feature tracking: concepts and clinical applications. Circ Cardiovasc Imaging. 2016;9:e004077. doi: 10.1161/CIRCIMAGING.115.004077. [DOI] [PubMed] [Google Scholar]
- 29.Padiyath A, Gribben P, Abraham JR, et al. Echocardiography and cardiac magnetic resonance-based feature tracking in the assessment of myocardial mechanics in tetralogy of Fallot: an intermodality comparison. Echocardiography. 2013;30:203–210. doi: 10.1111/echo.12016. [DOI] [PubMed] [Google Scholar]
- 30.Morton G, Schuster A, Jogiya R, Kutty S, Beerbaum P, Nagel E. Inter-study reproducibility of cardiovascular magnetic resonance myocardial feature tracking. J Cardiovasc Magn Reson. 2012;14:43. doi: 10.1186/1532-429X-14-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Augustine D, Lewandowski AJ, Lazdam M, et al. Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender. J Cardiovasc Magn Reson. 2013;15:8. doi: 10.1186/1532-429X-15-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Barone-Rochette G, Pierard S, De Meester de Ravenstein C, et al. Prognostic significance of LGE by CMR in aortic stenosis patients undergoing valve replacement. J Am Coll Cardiol. 2014;64:144–154. doi: 10.1016/j.jacc.2014.02.612. [DOI] [PubMed] [Google Scholar]
- 33.Azevedo CF, Nigri M, Higuchi ML, et al. Prognostic significance of myocardial fibrosis quantification by histopathology and magnetic resonance imaging in patients with severe aortic valve disease. J Am Coll Cardiol. 2010;56:278–287. doi: 10.1016/j.jacc.2009.12.074. [DOI] [PubMed] [Google Scholar]
- 34.Chin CW, Everett RJ, Kwiecinski J, et al. Myocardial fibrosis and cardiac decompensation in aortic stenosis. JACC Cardiovasc Imaging. 2016 doi: 10.1016/j.jcmg.2016.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Chaikriangkrai K, Lopez-Mattei JC, Lawrie G, et al. Prognostic value of delayed enhancement cardiac magnetic resonance imaging in mitral valve repair. Ann Thorac Surg. 2014;98:1557–1563. doi: 10.1016/j.athoracsur.2014.06.049. [DOI] [PubMed] [Google Scholar]
- 36.Musa TA, Uddin A, Swoboda PP, et al. Cardiovascular magnetic resonance evaluation of symptomatic severe aortic stenosis: association of circumferential myocardial strain and mortality. J Cardiovasc Magn Reson. 2017;19:13. doi: 10.1186/s12968-017-0329-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Krayenbuehl HP, Hess OM, Monrad ES, Schneider J, Mall G, Turina M. Left ventricular myocardial structure in aortic valve disease before, intermediate, and late after aortic valve replacement. Circulation. 1989;79:744–755. doi: 10.1161/01.CIR.79.4.744. [DOI] [PubMed] [Google Scholar]
- 38.Hein S, Arnon E, Kostin S, et al. Progression from compensated hypertrophy to failure in the pressure-overloaded human heart: structural deterioration and compensatory mechanisms. Circulation. 2003;107:984–991. doi: 10.1161/01.CIR.0000051865.66123.B7. [DOI] [PubMed] [Google Scholar]
- 39.Rakusan K, Flanagan MF, Geva T, Southern J, Van Praagh R. Morphometry of human coronary capillaries during normal growth and the effect of age in left ventricular pressure-overload hypertrophy. Circulation. 1992;86:38–46. doi: 10.1161/01.CIR.86.1.38. [DOI] [PubMed] [Google Scholar]
- 40.Bull S, White SK, Piechnik SK, et al. Human non-contrast T1 values and correlation with histology in diffuse fibrosis. Heart. 2013;99:932–937. doi: 10.1136/heartjnl-2012-303052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lee SP, Lee W, Lee JM, Park EA, Kim HK, Kim YJ, Sohn DW. Assessment of diffuse myocardial fibrosis by using MR imaging in asymptomatic patients with aortic stenosis. Radiology. 2015;274:359–369. doi: 10.1148/radiol.14141120. [DOI] [PubMed] [Google Scholar]
- 42.Chin CW, Semple S, Malley T, et al. Optimization and comparison of myocardial T1 techniques at 3T in patients with aortic stenosis. Eur Heart J Cardiovasc Imaging. 2014;15:556–565. doi: 10.1093/ehjci/jet245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Flett AS, Sado DM, Quarta G, et al. Diffuse myocardial fibrosis in severe aortic stenosis: an equilibrium contrast cardiovascular magnetic resonance study. Eur Heart J Cardiovasc Imaging. 2012;13:819–826. doi: 10.1093/ehjci/jes102. [DOI] [PubMed] [Google Scholar]
- 44.Dusenbery SM, Jerosch-Herold M, Rickers C, Colan SD, Geva T, Newburger JW, Powell AJ. Myocardial extracellular remodeling is associated with ventricular diastolic dysfunction in children and young adults with congenital aortic stenosis. J Am Coll Cardiol. 2014;63:1778–1785. doi: 10.1016/j.jacc.2013.11.066. [DOI] [PubMed] [Google Scholar]
- 45.Chin CW, Shah AS, McAllister DA, et al. High-sensitivity troponin I concentrations are a marker of an advanced hypertrophic response and adverse outcomes in patients with aortic stenosis. Eur Heart J. 2014;35:2312–2321. doi: 10.1093/eurheartj/ehu189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Shah AS, Chin CW, Vassiliou V, et al. Left ventricular hypertrophy with strain and aortic stenosis. Circulation. 2014;130:1607–1616. doi: 10.1161/CIRCULATIONAHA.114.011085. [DOI] [PubMed] [Google Scholar]
- 47.Debl K, Djavidani B, Buchner S, et al. Delayed hyperenhancement in magnetic resonance imaging of left ventricular hypertrophy caused by aortic stenosis and hypertrophic cardiomyopathy: visualisation of focal fibrosis. Heart. 2006;92:1447–1451. doi: 10.1136/hrt.2005.079392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rudolph A, Abdel-Aty H, Bohl S, Boye P, Zagrosek A, Dietz R, Schulz-Menger J. Noninvasive detection of fibrosis applying contrast-enhanced cardiac magnetic resonance in different forms of left ventricular hypertrophy relation to remodeling. J Am Coll Cardiol. 2009;53:284–291. doi: 10.1016/j.jacc.2008.08.064. [DOI] [PubMed] [Google Scholar]
- 49.Weidemann F, Herrmann S, Stork S, et al. Impact of myocardial fibrosis in patients with symptomatic severe aortic stenosis. Circulation. 2009;120:577–584. doi: 10.1161/CIRCULATIONAHA.108.847772. [DOI] [PubMed] [Google Scholar]
- 50.Dweck MR, Boon NA, Newby DE. Calcific aortic stenosis: a disease of the valve and the myocardium. J Am Coll Cardiol. 2012;60:1854–1863. doi: 10.1016/j.jacc.2012.02.093. [DOI] [PubMed] [Google Scholar]
- 51.Singh A, Greenwood JP, Berry C, et al. Comparison of exercise testing and CMR measured myocardial perfusion reserve for predicting outcome in asymptomatic aortic stenosis: the prognostic importance of microvascular dysfunction in aortic stenosis (PRIMID AS) Study. Eur Heart J. 2017 doi: 10.1093/eurheartj/ehx001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Kim YJ, Choi BW, Hur J, et al. Delayed enhancement in hypertrophic cardiomyopathy: comparison with myocardial tagging MRI. J Magn Reson Imaging. 2008;27:1054–1060. doi: 10.1002/jmri.21366. [DOI] [PubMed] [Google Scholar]
- 53.Bogarapu S, Puchalski MD, Everitt MD, Williams RV, Weng HY, Menon SC. Novel cardiac magnetic resonance feature tracking (CMR-FT) analysis for detection of myocardial fibrosis in pediatric hypertrophic cardiomyopathy. Pediatr Cardiol. 2016;37:663–673. doi: 10.1007/s00246-015-1329-8. [DOI] [PubMed] [Google Scholar]
- 54.Schneeweis C, Lapinskas T, Schnackenburg B, et al. Comparison of myocardial tagging and feature tracking in patients with severe aortic stenosis. J Heart Valve Dis. 2014;23:432–440. [PubMed] [Google Scholar]
- 55.Singh A, Steadman CD, Khan JN, et al. Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: a comparison of feature-tracking and tagging in patients with aortic stenosis. J Magn Reson Imaging. 2015;41:1129–1137. doi: 10.1002/jmri.24625. [DOI] [PubMed] [Google Scholar]
- 56.Al Musa T, Uddin A, Swoboda PP, et al. Myocardial strain and symptom severity in severe aortic stenosis: insights from cardiovascular magnetic resonance. Quant Imaging Med Surg. 2017;7:38–47. doi: 10.21037/qims.2017.02.05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Mahmod M, Bull S, Suttie JJ, et al. Myocardial steatosis and left ventricular contractile dysfunction in patients with severe aortic stenosis. Circ Cardiovasc Imaging. 2013;6:808–816. doi: 10.1161/CIRCIMAGING.113.000559. [DOI] [PubMed] [Google Scholar]
- 58.Meyer CG, Frick M, Lotfi S, et al. Regional left ventricular function after transapical vs. transfemoral transcatheter aortic valve implantation analysed by cardiac magnetic resonance feature tracking. Eur Heart J Cardiovasc Imaging. 2014;15:1168–1176. doi: 10.1093/ehjci/jeu103. [DOI] [PubMed] [Google Scholar]
- 59.Borer JS, Truter S, Herrold EM, et al. Myocardial fibrosis in chronic aortic regurgitation: molecular and cellular responses to volume overload. Circulation. 2002;105:1837–1842. doi: 10.1161/01.CIR.0000014419.71706.85. [DOI] [PubMed] [Google Scholar]
- 60.Piper C, Schultheiss HP, Akdemir D, Rudolf J, Horstkotte D, Pauschinger M. Remodeling of the cardiac extracellular matrix differs between volume- and pressure-overloaded ventricles and is specific for each heart valve lesion. J Heart Valve Dis. 2003;12:592–600. [PubMed] [Google Scholar]
- 61.Mannacio V, Guadagno E, Mannacio L, et al. Comparison of left ventricular myocardial structure and function in patients with aortic stenosis and those with pure aortic regurgitation. Cardiology. 2015;132:111–118. doi: 10.1159/000431283. [DOI] [PubMed] [Google Scholar]
- 62.Sparrow P, Messroghli DR, Reid S, Ridgway JP, Bainbridge G, Sivananthan MU. Myocardial T1 mapping for detection of left ventricular myocardial fibrosis in chronic aortic regurgitation: pilot study. AJR Am J Roentgenol. 2006;187:W630–W635. doi: 10.2214/AJR.05.1264. [DOI] [PubMed] [Google Scholar]
- 63.de Meester de RavensteinC, Bouzin C, Lazam S, et al. Histological Validation of measurement of diffuse interstitial myocardial fibrosis by myocardial extravascular volume fraction from modified look-locker imaging (MOLLI) T1 mapping at 3 T. J Cardiovasc Magn Reson. 2015;17:48. doi: 10.1186/s12968-015-0150-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Pomerantz BJ, Wollmuth JR, Krock MD, et al. Myocardial systolic strain is decreased after aortic valve replacement in patients with aortic insufficiency. Ann Thorac Surg. 2005;80:2186–2192. doi: 10.1016/j.athoracsur.2005.05.095. [DOI] [PubMed] [Google Scholar]
- 65.Ungacta FF, Davila-Roman VG, Moulton MJ, et al. MRI-radiofrequency tissue tagging in patients with aortic insufficiency before and after operation. Ann Thorac Surg. 1998;65:943–950. doi: 10.1016/S0003-4975(98)00065-4. [DOI] [PubMed] [Google Scholar]
- 66.Lancellotti P, Moura L, Pierard LA, et al. European association of echocardiography recommendations for the assessment of valvular regurgitation. Part 2: mitral and tricuspid regurgitation (native valve disease) Eur J Echocardiogr. 2010;11:307–332. doi: 10.1093/ejechocard/jeq031. [DOI] [PubMed] [Google Scholar]
- 67.Fuster V, Danielson MA, Robb RA, Broadbent JC, Brown AL, Jr, Elveback LR. Quantitation of left ventricular myocardial fiber hypertrophy and interstitial tissue in human hearts with chronically increased volume and pressure overload. Circulation. 1977;55:504–508. doi: 10.1161/01.CIR.55.3.504. [DOI] [PubMed] [Google Scholar]
- 68.Edwards NC, Moody WE, Yuan M, Weale P, Neal D, Townend JN, Steeds RP. Quantification of left ventricular interstitial fibrosis in asymptomatic chronic primary degenerative mitral regurgitation. Circ Cardiovasc Imaging. 2014;7:946–953. doi: 10.1161/CIRCIMAGING.114.002397. [DOI] [PubMed] [Google Scholar]
- 69.Han Y, Peters DC, Salton CJ, et al. Cardiovascular magnetic resonance characterization of mitral valve prolapse. JACC Cardiovasc Imaging. 2008;1:294–303. doi: 10.1016/j.jcmg.2008.01.013. [DOI] [PubMed] [Google Scholar]
- 70.Maniar HS, Brady BD, Lee U, Cupps BP, Kar J, Wallace KM, Pasque MK. Early left ventricular regional contractile impairment in chronic mitral regurgitation occurs in a consistent, heterogeneous pattern. J Thorac Cardiovasc Surg. 2014;148:1694–1699. doi: 10.1016/j.jtcvs.2014.05.088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Mankad R, McCreery CJ, Rogers WJ, Jr, Weichmann RJ, Savage EB, Reichek N, Kramer CM. Regional myocardial strain before and after mitral valve repair for severe mitral regurgitation. J Cardiovasc Magn Reson. 2001;3:257–266. doi: 10.1081/JCMR-100107474. [DOI] [PubMed] [Google Scholar]
- 72.Ahmed MI, Gladden JD, Litovsky SH, et al. Increased oxidative stress and cardiomyocyte myofibrillar degeneration in patients with chronic isolated mitral regurgitation and ejection fraction > 60% J Am Coll Cardiol. 2010;55:671–679. doi: 10.1016/j.jacc.2009.08.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Schiros CG, Dell’Italia LJ, Gladden JD, et al. Magnetic resonance imaging with 3-dimensional analysis of left ventricular remodeling in isolated mitral regurgitation: implications beyond dimensions. Circulation. 2012;125:2334–2342. doi: 10.1161/CIRCULATIONAHA.111.073239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Ahmed MI, Guichard JL, Rajasekaran NS, et al. Disruption of desmin-mitochondrial architecture in patients with regurgitant mitral valves and preserved ventricular function. J Thorac Cardiovasc Surg. 2016;152(1059–1070):e1052. doi: 10.1016/j.jtcvs.2016.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]