You are currently viewing a new version of our website. To view the old version click .
Journal of Clinical Medicine
  • Review
  • Open Access

2 January 2026

Asymptomatic Aortic Regurgitation: Evolving Imaging Markers and Contemporary Intervention Strategies

,
,
,
,
,
and
1
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
2
Department of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan
3
College of Medicine, National Taiwan University, Taipei 100225, Taiwan
4
Department of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan
This article belongs to the Special Issue Current Advances in Aortic Valve Stenosis

Abstract

Asymptomatic aortic regurgitation (AR) has traditionally been managed conservatively until symptom onset or overt left ventricular systolic dysfunction. However, adverse myocardial remodeling—detected by myocardial strain, volumetric cardiac magnetic resonance, and fibrosis imaging—often precedes current guideline thresholds for interventions and may be irreversible. Advances in multimodal imaging now enable earlier risk stratification beyond conventional metrics. In parallel, intervention strategies are evolving, including valve repair, valve-sparing root replacement, Ross procedure, and transcatheter aortic valve replacement in selected high-risk patients. This narrative review summarizes contemporary advances in imaging and intervention for asymptomatic AR, while critically appraising current evidentiary and technical limitations that constrain earlier intervention. The review is based on a narrative synthesis of the contemporary literature, drawing from recent clinical studies, imaging advances, and guideline documents rather than a systematic evidence search.

1. Introduction

Aortic regurgitation (AR) is a prevalent valvular disease whose burden is rising as populations age [1]. In community-dwelling adults ≥65 years, mild AR is observed in approximately 7–14%, while moderate-to-severe AR occurs in ~2–5% [2,3,4]. Although many patients remain asymptomatic for prolonged periods, longitudinal cohort data shows that one-fifth of patients with Stage B AR progress to Stage C/D hemodynamic severity—defined by worsening quantitative echocardiographic thresholds for at least moderately severe AR—over a median follow-up of four years, and a substantial subset of these progressors subsequently develop symptoms or meet surgical criteria [5,6]. Delayed surgical referral is associated with irreversible myocardial injury and worse postoperative outcomes, underscoring the limitations of relying on symptoms, left ventricular ejection fraction (LVEF), and linear dimensions alone [7,8,9,10].
Advances in multimodal imaging have reshaped contemporary assessment of AR severity and LV remodeling [11]. Three-dimensional (3D) echocardiography improves quantification in eccentric jets, while cardiac magnetic resonance (CMR) offers highly reproducible volumetric assessment and regurgitant quantification [12,13,14,15,16]. Beyond chamber size, CMR tissue characterization with late gadolinium enhancement (LGE) and indexed extracellular volume (iECV) identifies focal and diffuse myocardial fibrosis associated with adverse outcomes, while myocardial deformation parameters—such as global longitudinal strain (GLS, a measure of LV fiber shortening) and left atrial reservoir strain (reflecting atrial compliance and filling)—detect subclinical dysfunction despite preserved LVEF [17,18].
Therapeutic strategies are also evolving. Aortic valve (AV) repair and valve-sparing root replacement achieve durable outcomes in selected patients, and the Ross procedure remains an option for carefully selected younger individuals, and newer-generation transcatheter devices are expanding treatment options for high-risk patients with native AR [19,20,21]. Together, these advances are shifting management toward earlier and more individualized decision-making. This review synthesizes contemporary data on AR pathophysiology, multimodal imaging, and evolving intervention strategies, with emphasis on the remaining technical, biological, and evidentiary barriers that limit definitive early-intervention paradigms.

2. Methods

This article is a narrative review synthesizing contemporary evidence on asymptomatic AR, multimodality imaging, and evolving intervention strategies. We searched PubMed from inception through December 2025 for original studies, meta-analyses, guideline documents, and state-of-the-art reviews relevant to AR pathophysiology, imaging assessment, clinical outcomes, and surgical or transcatheter management. Search terms included combinations of “aortic regurgitation”, “asymptomatic”, “echocardiography”, “strain”, “cardiac magnetic resonance”, “aortic valve repair”, “Ross”, and “transcatheter aortic valve replacement.” We prioritized studies published within the past 10 years, but included seminal older literature when foundational to current understanding. Evidence was selected based on clinical relevance, methodological quality, and contribution to current practice or emerging paradigms; no formal systematic screening, quantitative synthesis, or risk-of-bias assessment was performed.

3. Multimodal Imaging in Aortic Regurgitation

Transthoracic echocardiography remains the first-line modality for evaluating AR severity, providing insight into valve anatomy, regurgitation mechanism, and LV remodeling. However, quantification—especially in eccentric jets—can be limited by acoustic dropout, poor alignment, and inaccurate estimation of vena contracta or PISA-based measurements [22]. 3D echocardiography overcomes several of these limitations by enabling direct planimetry of the vena contracta area and volumetric quantification without geometric assumptions [12,13,14]. Comparative studies demonstrate that 3D echocardiography provides more accurate assessment of regurgitant volume and effective regurgitant orifice area, with stronger correlation to CMR, narrower limits of agreement, and superior classification of AR severity—particularly in eccentric or multiple jets—compared with 2D techniques [13,23,24]. Key echocardiographic prognostic thresholds are summarized in Table 1.
Table 1. Transthoracic Echocardiographic Prognostic Markers in Chronic Aortic Regurgitation.
Stress echocardiography is also considered for evaluating asymptomatic AR patients, primarily to objectively confirm exercise tolerance and elicit exertional symptoms [35,36]. However, despite its physiologic appeal, stress-derived imaging markers have not been incorporated into guidelines because robust outcome-based evidence is lacking. Existing studies are small and heterogeneous, and no standardized thresholds exist for exercise-induced changes in LV function, volumes, or regurgitant severity that reliably predict prognosis. Consequently, while reduced exercise tricuspid annular plane systolic excursion and absence of contractile reserve have been associated with early surgical referral and symptom development, these findings remain insufficient for guideline integration, and stress testing continues to serve mainly as a functional assessment rather than a quantitative risk-stratification tool [37,38].
CMR is the most reproducible modality for quantifying regurgitant burden and is recommended when echocardiographic findings are inconclusive [39]. Unlike mitral regurgitation (MR), chronic AR imposes both systolic and diastolic volume overload, leading to earlier and more pronounced LV remodeling [40,41]. Although guideline echocardiographic thresholds for severe AR (RV ≥ 60 mL, RF ≥ 50%) are extrapolated from MR [42], AR-specific CMR studies consistently demonstrate prognostic thresholds at lower values. Reported cutoffs vary (RV 38–47 mL; RF 32–43%) because of differences in phase-contrast measurement location, the use of direct versus indirect flow-quantification techniques, and heterogeneity in clinical endpoints across studies [11,15,16,43,44]. The CMR-based prognostic thresholds are summarized in Table 2. Notably, the upper end of these ranges was validated in a recent large multicenter cohort of asymptomatic patients with moderate-severe AR and preserved LVEF [15]. These data-driven thresholds highlight the potential for earlier risk identification and referral. Cardiac computed tomography may assist in select cases by delineating aortic root anatomy and regurgitant orifice geometry but is limited by flow artifacts and suboptimal leaflet definition [11].
Table 2. Cardiac Magnetic Resonance Prognostic Markers in Chronic Aortic Regurgitation.

4. Early Detection of LV Dysfunction

Imaging plays a central role in detecting subclinical LV dysfunction and refining the timing of intervention in chronic AR. Traditional referral thresholds—LVEF < 55% or LV end-systolic diameter (LVESD) > 50 mm—often indicate late-stage disease [9,45]. Accumulating evidence supports the use of indexed LV dimensions and volumes as earlier, more sensitive markers of adverse remodeling [7,25,28,29,30]. Yang et al. first demonstrated that the LV end-systolic dimension index (LVESDi) > 20 mm/m2 was associated with all-cause mortality, superior to LVEF and absolute LV dimensions [7]. As summarized in Table 1, this threshold has since been reproduced across large European and Asian multicenter cohorts [25,29], where risk begins to rise at LVESDi values in the 20–22 mm/m2 range. Multicenter CMR studies summarized in Table 2 further reinforce the prognostic superiority of volumetric measures, particularly LVESVi ≥ 45 mL/m2, which remain strong independent predictors across modalities [15,16]. Current guidelines rely on absolute LV cutoffs and do not define trajectory-based triggers; however, progressive LV enlargement below thresholds and rapid remodeling warrant closer surveillance [16,29,45], while no condition-specific LV thresholds are established for bicuspid valve disease, connective tissue disorders, chronic kidney disease, hypertension, or athletic hearts—necessitating individualized interpretation. Sex- and body size–specific differences in LV remodeling also represent an important source of risk misclassification in chronic AR. Women and smaller-bodied patients, including many Asian populations, exhibit blunted LV dilatation despite comparable regurgitant burden, lower volumetric thresholds for adverse outcomes, and sex-specific strain reference values, limiting the applicability of uniform cutoffs [46,47,48,49,50,51,52].
While numerous studies have identified individual echocardiographic markers associated with outcomes (Table 1), long-term data also highlight the clinical consequences of delayed intervention. In the prospective study by Tornos et al., adherence to guideline-based timing of surgery was associated with markedly improved 15-year survival, underscoring the importance of avoiding surgery only after the onset of severe symptoms or marked LV dilation [27]. More recently, the Aortic Valve Insufficiency and Ascending Aorta Aneurysm International Registry (AVIATOR) registry demonstrated that surgery triggered solely by conventional class I indications (symptomatic heart failure, LVEF ≤ 50% or LVESD > 50 mm/LVESDi > 25 mm/m2) was associated with reduced long-term survival after surgery, whereas earlier intervention—at LVESDi 20–25 mm/m2 or LVEF 50–55%—was not associated with diminished survival [26]. These observations inform modern recommendations. The 2020 American College of Cardiology/American Heart Association (ACC/AHA) guideline maintains LVEF ≤ 55% as a Class I indication for surgery in asymptomatic severe AR (Stage C2) [45]. For patients with preserved LVEF (>55%) but severe LV dilation (LVESD > 50 mm or LVESDi > 25 mm/m2) surgery is reasonable (Class IIa) [45]. In asymptomatic patients with normal LV systolic function (LVEF > 55%; Stage C1) and low surgical risk, surgery may be considered (Class IIb) when serial studies show a progressive decline in LVEF into the low-normal range (55–60%) or a progressive increase in LV size into the severe range (left ventricular end-diastolic diameter [LVEDD] > 65 mm) [45]. The 2025 European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS) guideline further refines surgical triggers by lowering the indexed linear cutoff to LVESDi > 22 mm/m2 (LOE B) and introducing a volumetric trigger of LVESVi > 45 mL/m2 (LOE B), while maintaining the LVEF cutoff of ≤55% [15,53]. Traditional diameter-based progression criteria (e.g., LVEDD > 65 mm or serial enlargement) remain LOE C because of limited prospective validation. Despite these updated dimensional and volumetric thresholds, the optimal timing of intervention in asymptomatic severe AR with preserved LVEF remains uncertain, as accumulating evidence suggests that myocardial damage may occur before current Class I indications are reached, underscoring the need for individualized assessment beyond guideline cutoffs [45,53].
Although CMR provides superior reproducibility for volumetric assessment and AR quantification, echocardiography remains the first-line imaging modality due to its accessibility, cost-effectiveness, and ability to characterize valve mechanism, regurgitant severity, and serial remodeling [15,16,50,51]. For centers without routine CMR availability, guideline-directed echocardiographic thresholds—LVEF ≤ 55%, LVESD > 50 mm or LVESDi > 25 mm/m2, and progressive LV dilation—continue to guide surgical decision-making, with CMR reserved for cases in which echocardiographic findings are borderline, discordant, or inconclusive [54,55].
CMR enables myocardial tissue characterization that adds prognostic information beyond LV size and function. LGE, reflecting irreversible focal myocardial scar, identifies a high-risk AR phenotype associated with increased mortality, while iECV, a marker of diffuse interstitial fibrosis, correlates with regurgitant severity, LV remodeling, and adverse outcomes including death and need for AVR (Table 2) [17,18,56,57]. However, CMR-derived measurements remain subject to technical and operator-dependent variability, and inter-center heterogeneity in iECV quantification remains an important limitation [56,57,58]. Accurate interpretation of LGE and fibrosis patterns also depends on reader expertise.
Myocardial strain imaging provides a sensitive measure of myocardial deformation and detects subclinical dysfunction before changes in chamber size or ejection fraction become apparent. LV-GLS is the most widely used clinical strain parameter and serves as a more sensitive marker of early systolic dysfunction than LVEF in valvular disease, heart failure with preserved EF, and cardiotoxicity monitoring [59]. In asymptomatic chronic AR, impaired LV-GLS (typically worse than −15% to −19%) predicts symptom progression and mortality despite preserved LVEF [31,32,60,61]. Integrating LV-GLS with structural markers amplifies prognostic discrimination: the addition of LV-GLS to a clinical risk model improves long-term mortality prediction [31], and an LV-GLS < 15% combined with LVESVi ≥ 45 mL/m2 increased mortality risk fourfold, while pairing GLS < 15% with LVESDi > 20 mm/m2 increased mortality risk threefold [32]. Left atrial (LA) strain provides complementary physiologic information by reflecting LV diastolic function and filling pressure [59]. In ≥moderate-severe asymptomatic AR, reduced LA reservoir and contractile strain independently predict outcomes, and offer incremental risk stratification beyond LV-GLS [34]. Multicenter data demonstrate sex- and age-independent LA remodeling, with LA volume index ≥37 mL/m2 and LA reservoir strain ≤35% identifying higher-risk patients who derive surgical benefit [33].
Despite these strengths, discordance between LV dimensions/volumes, strain, and CMR-derived markers is common. In such cases, expert consensus prioritizes symptoms and LVEF as the dominant triggers for intervention, with CMR volumetric assessment serving as the preferred arbiter when echocardiographic and strain findings disagree [11,54]. Although multiparametric frameworks consistently outperform single-parameter strategies for outcome prediction [28,32,53,60,61], no guideline-endorsed or prospectively validated multimodal algorithm currently exists to direct intervention timing in asymptomatic AR.
However, strain measurements remain constrained by technical variability and limited standardization. GLS exhibits intra-observer variability and vendor dependence, and serial assessment should ideally be performed using the same platform with emphasis on longitudinal change [62,63,64]. LA strain is feasible but highly software dependent, with systematic inter-vendor bias despite improved reproducibility using dedicated tracking tools [65,66,67].
Complementing these imaging markers, machine learning approaches have also been explored. Anand et al. have developed machine learning models that integrate clinical and with indexed LV volumes, contributing to an overall concordance index of 0.87 for survival prediction in severe AR [68]. However, these approaches remain exploratory: most models are developed from retrospective datasets, are vulnerable to overfitting and limited generalizability, and lack prospective and external validation demonstrating improvement in clinical outcomes, so machine learning–derived scores should currently be regarded as hypothesis-generating adjuncts rather than stand-alone triggers for intervention [69,70].
In aggregate, these data support a multimodal imaging framework in chronic AR—integrating echocardiography, CMR, and strain imaging—to refine risk stratification, while recognizing that prospective validation is still required and that technical, operator-, software-, and center-dependent constraints remain important real-world barriers to uniform implementation.

5. Surgical and Percutaneous Interventions

Despite advances in imaging and risk stratification, the management of chronic AR remains anchored in timely intervention. The 2020 ACC/AHA guidelines clarify that there is no evidence to support vasodilator therapy for chronic asymptomatic AR in the absence of systemic hypertension, reinforcing that no medical therapy can halt or reverse disease progression in these patients [45]. At present, there are no active disease-modifying pharmacologic trials for chronic AR, and contemporary research has focused primarily on post–aortic valve replacement secondary prevention rather than modification of the natural history of native valve regurgitation. This therapeutic gap underscores the primacy of surgical and transcatheter management.
Surgical correction remains the cornerstone of management for severe AR, with long-term outcomes highly dependent on both timing and type of intervention [71]. Valve replacement provides predictable durability, whereas repair and valve-sparing strategies—when feasible—offer the advantage of avoiding prosthetic-related complications at the cost of potentially higher reintervention risk. Newer transcatheter approaches provide alternatives for select high-risk patients. The following sections review the indications, outcomes, and evolving landscape of AR interventions. A comparative summary of the major surgical and transcatheter intervention strategies is provided in Table 3.
Table 3. Landmark Outcomes of Surgical and Transcatheter Interventions for Chronic Aortic Regurgitation.

6. Aortic Valve Repair and Valve-Sparing Aortic Root Replacement

AV repair has emerged as a compelling alternative to valve replacement in select patients with chronic AR, particularly younger individuals and those with pliable, non-calcified tricuspid or bicuspid valves and repairable mechanisms such as cusp prolapse or annular dilation [80,81,82]. Compared with valve replacement, repair avoids prosthesis-related complications including anticoagulation, thromboembolism, and structural valve deterioration [81]. Contemporary techniques include cusp plication, geometric height correction, patch repair, and valve-sparing aortic root replacement (VSARR), frequently supported by standardized annuloplasty [80,83,84,85].
However, repair feasibility and durability remain highly operator- and center-dependent, reflecting a substantial learning curve and limiting broad generalizability [80,85]. Population-based data indicate that most patients undergoing surgery for AR still receive valve replacement, whereas experienced referral centers report repair rates approaching 50–60% in carefully selected tricuspid valves [86,87]. Outcomes from expert centers demonstrate excellent survival and freedom from reoperation exceeding 85–90% at 5 to 10 years, with multicenter registries extending these findings to more complex anatomies, including bicuspid valves and root dilation, albeit with continued dependence on institutional expertise [19,75,80,88,89,90]. Predictors of reduced durability include preoperative severe AR, advanced LV dilation, and patch use [19,75].
Importantly, no randomized trials directly compare AV repair with SAVR in chronic AR, and existing evidence is derived almost exclusively from observational series at specialized centers [45,85,88]. Reflecting this evolving but limited evidence base, the 2025 ESC/EACTS guidelines upgraded AV repair to a Class IIa (Level B) recommendation for selected patients at experienced centers when durable results are anticipated [53].

7. Ross Procedure: Pulmonary Autograft Aortic Replacement

The Ross procedure replaces the diseased aortic valve with the native pulmonary valve and avoid lifelong anticoagulation, offering physiologic hemodynamics and survival advantages in carefully selected younger patients [91,92,93,94,95]. Comparative studies and network meta-analyses consistently show superior long-term survival, lower rates of stroke and endocarditis, and improved quality of life compared with mechanical or bioprosthetic AVR [94,95]. Although increasingly applied in chronic AR, durability is lower than in AS due to higher risk of late autograft dilatation and reoperation, particularly in patients with large annuli or bicuspid/unicuspid valve morphologies [73,74,96,97]. Recent technical refinements, including autograft reinforcement and tailored root stabilization, have mitigated these risks and expanded the role of the Ross procedure within high-volume specialized centers [20,74,98,99,100]. However, published Ross outcomes are subject to strong selection and referral bias, with limited long-term durability data beyond expert centers—particularly in AR, where late autograft failure remains a dominant concern [45,101,102].

8. Transcatheter Aortic Valve Replacement

Although surgical aortic valve replacement (SAVR) remains the standard of care for symptomatic AR or LV dysfunction, many patients are not referred for surgery because of advanced age, frailty, or major comorbidities, making transcatheter aortic valve replacement (TAVR) an alternative in carefully selected individuals, particularly those at prohibitive or high surgical risk [77,78,103,104,105,106]. Early experience with TAVR for native AR relied largely on off-label use of devices designed for AS. Non-calcified annuli, annular and root dilation, and limited fluoroscopic landmarks contributed to high rates of valve embolization or migration (12–16%), residual moderate or greater paravalvular regurgitation (9–11%), and pacemaker implantation, each independently associated with adverse outcomes [21,77,78,105,106].
Dedicated AR devices have improved procedural success. The ALIGN-AR (Aortic Valve Implantation for Unoperable Patients With Aortic Regurgitation) pivotal trial—a prospective, multicenter, single-arm study—evaluated the JenaValve Trilogy™ system in patients with high-risk symptomatic native AR and demonstrated high device success with acceptable early safety outcomes [78]. However, nearly half of screened patients were excluded in ALIGN-AR because of unfavorable anatomic or clinical characteristics, and other contemporary observational cohorts remain highly selected and subject to substantial referral, anatomic, and frailty-related selection bias, underscoring the limited generalizability of current evidence base [77,78,105]. Meta-analyses confirm higher procedural success and lower early mortality with dedicated AR devices compared with off-label valves; however pacemaker implantation remains frequent (21–24%), and long-term durability, leaflet thrombosis risk, and the consequences of residual AR remain incompletely defined—particularly as TAVR expands toward younger and lower-risk populations [21,48,76,77,78,79,105,106,107,108].
Transcatheter therapy is now being explored in two high-need populations. The JenaValve ALIGN-AR LVAD Registry (JENA-VAD) is a prospective, multicenter registry nested within the ALIGN-AR program evaluating the Trilogy™ system in patients with continuous-flow left ventricular assist devices and clinically significant AR—a population historically excluded from surgical and transcatheter trials and associated with poor outcomes (ClinicalTrials.gov identifier: NCT06594705). In parallel, the Aortic Regurgitation Trial Investigating Surgery Versus Trilogy™ (ARTIST) is the first randomized controlled trial comparing TAVR with SAVR in patients with clinically significant native AR (ClinicalTrials.gov identifier: NCT06608823). Designed as a large, international non-inferiority trial with long-term follow-up, ARTIST has the potential to define the comparative effectiveness of transcatheter versus surgical therapy in non-prohibitive-risk patients, although enrollment is ongoing and results are not yet available.
Reflecting these evolving but limited data, current guidelines remain conservative. The 2025 ESC/EACTS guidelines introduce a Class IIb recommendation for TAVR in selected inoperable AR patients at experienced centers using dedicated devices, whereas the 2020 ACC/AHA guidelines maintain a Class III (harm) recommendation against TAVR in operable isolated AR [45,53,78]. Pending results from ARTIST and longer-term durability data, TAVR for native AR should remain restricted to carefully selected high-risk or inoperable patients within experienced centers.

9. Conclusions

Multimodal imaging has redefined risk stratification in chronic AR by enabling earlier detection of adverse LV remodeling through indexed dimensions, volumetric CMR parameters, myocardial strain, and atrial mechanics, now partially reflected in updated guideline thresholds. However, most available data derive from retrospective or single-center cohorts involving highly selected populations, which limits generalizability and underscores the need for prospective multicenter validation. The absence of randomized CMR- or strain-guided early intervention trials and limited long-term durability data for transcatheter platforms remain critical barriers to more aggressive guideline adoption, underscoring the need for prospective early-intervention studies [109].

Author Contributions

Conceptualization, C.-M.T. and L.-T.Y.; Methodology, C.-M.T. and L.-T.Y.; Data curation, C.-M.T., K.-Y.L., Y.-C.S., C.-H.W. and C.H.H.T.; Visualization, C.-M.T., K.-Y.L., Y.-C.S., C.-H.W. and C.H.H.T.; Writing—original draft preparation, C.-M.T.; Writing—review and editing, C.-M.T., K.-Y.L., S.S. and L.-T.Y.; Supervision, L.-T.Y.; Project administration, L.-T.Y.; Funding acquisition, L.-T.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research and the APC were funded by National Science and Technology Council (NSTC 114-2314-B-002-220), Taipei, Taiwan and National Taiwan University Hospital (114-IF0006), Taipei, Taiwan.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Acknowledgments

We thank the National Taiwan University Hospital for administrative support related to publication of this invited review.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

ARAortic regurgitation
AVRAortic valve replacement
CMRCardiac magnetic resonance
GLSGlobal longitudinal strain
iECVIndexed extracellular volume
LGELate gadolinium enhancement
LVLeft ventricle/left ventricular
LVEFLeft ventricular ejection fraction
LVESViLeft ventricular end-systolic volume index
TAVRTranscatheter aortic valve replacement

References

  1. Nkomo, V.T.; Gardin, J.M.; Skelton, T.N.; Gottdiener, J.S.; Scott, C.G.; Enriquez-Sarano, M. Burden of valvular heart diseases: A population-based study. Lancet 2006, 368, 1005–1011. [Google Scholar] [CrossRef] [PubMed]
  2. Gössl, M.; Stanberry, L.; Benson, G.; Steele, E.; Garberich, R.; Witt, D.; Cavalcante, J.; Sharkey, S.; Enriquez-Sarano, M. Burden of Undiagnosed Valvular Heart Disease in the Elderly in the Community: Heart of New Ulm Valve Study. JACC Cardiovasc. Imaging 2023, 16, 1118–1120. [Google Scholar] [CrossRef]
  3. Généreux, P.; Amoroso, N.S.; Thourani, V.H.; Rodriguez, E.; Sharma, R.P.; Pinto, D.S.; Kwon, M.; Dobbles, M.; Pellikka, P.A.; Gillam, L.D. Mortality Burden for Patients with Untreated Aortic Regurgitation. JACC Adv. 2024, 3, 101228. [Google Scholar] [CrossRef]
  4. D’Arcy, J.L.; Coffey, S.; Loudon, M.A.; Kennedy, A.; Pearson-Stuttard, J.; Birks, J.; Frangou, E.; Farmer, A.J.; Mant, D.; Wilson, J.; et al. Large-scale community echocardiographic screening reveals a major burden of undiagnosed valvular heart disease in older people: The OxVALVE Population Cohort Study. Eur. Heart J. 2016, 37, 3515–3522a. [Google Scholar] [CrossRef]
  5. Vanoverschelde, J.L.; Vancraeynest, D. Progression of Aortic Regurgitation: The Missing Link Between Disease Severity and Clinical Complications. J. Am. Coll. Cardiol. 2019, 74, 2493–2495. [Google Scholar] [CrossRef]
  6. Yang, L.T.; Enriquez-Sarano, M.; Michelena, H.I.; Nkomo, V.T.; Scott, C.G.; Bailey, K.R.; Oguz, D.; Wajih Ullah, M.; Pellikka, P.A. Predictors of Progression in Patients with Stage B Aortic Regurgitation. J. Am. Coll. Cardiol. 2019, 74, 2480–2492. [Google Scholar] [CrossRef]
  7. Yang, L.T.; Michelena, H.I.; Scott, C.G.; Enriquez-Sarano, M.; Pislaru, S.V.; Schaff, H.V.; Pellikka, P.A. Outcomes in Chronic Hemodynamically Significant Aortic Regurgitation and Limitations of Current Guidelines. J. Am. Coll. Cardiol. 2019, 73, 1741–1752. [Google Scholar] [CrossRef]
  8. Sannino, A.; Fortuni, F. Timing for Intervention in Aortic Regurgitation: When One Does Not Fit All. J. Am. Coll. Cardiol. 2023, 81, 1488–1490. [Google Scholar] [CrossRef] [PubMed]
  9. de Meester, C.; Gerber, B.L.; Vancraeynest, D.; Pouleur, A.C.; Noirhomme, P.; Pasquet, A.; de Kerchove, L.; El Khoury, G.; Vanoverschelde, J.L. Do Guideline-Based Indications Result in an Outcome Penalty for Patients with Severe Aortic Regurgitation? JACC Cardiovasc. Imaging 2019, 12, 2126–2138. [Google Scholar]
  10. Anand, V.; Michelena, H.I.; Scott, C.G.; Lee, A.T.; Rigolin, V.H.; Pislaru, S.V.; Kane, G.C.; Crestanello, J.A.; Pellikka, P.A. Echocardiographic Markers of Early Left Ventricular Dysfunction in Asymptomatic Aortic Regurgitation: Is It Time to Change the Guidelines? JACC Cardiovasc. Imaging 2025, 18, 266–274. [Google Scholar]
  11. Ranard, L.S.; Bonow, R.O.; Nishimura, R.; Mack, M.J.; Thourani, V.H.; Bavaria, J.; O’Gara, P.T.; Bax, J.J.; Blanke, P.; Delgado, V.; et al. Imaging Methods for Evaluation of Chronic Aortic Regurgitation in Adults: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2023, 82, 1953–1966. [Google Scholar] [CrossRef]
  12. Calleja, A.; Thavendiranathan, P.; Ionasec, R.I.; Houle, H.; Liu, S.; Voigt, I.; Sai Sudhakar, C.; Crestanello, J.; Ryan, T.; Vannan, M.A. Automated quantitative 3-dimensional modeling of the aortic valve and root by 3-dimensional transesophageal echocardiography in normals, aortic regurgitation, and aortic stenosis: Comparison to computed tomography in normals and clinical implications. Circ. Cardiovasc. Imaging 2013, 6, 99–108. [Google Scholar] [CrossRef] [PubMed]
  13. Ewe, S.H.; Delgado, V.; Van Der Geest, R.; Westenberg, J.J.M.; Haeck, M.L.A.; Witkowski, T.G.; Auger, D.; Marsan, N.A.; Holman, E.R.; de Roos, A.; et al. Accuracy of three-dimensional versus two-dimensional echocardiography for quantification of aortic regurgitation and validation by three-dimensional three-directional velocity-encoded magnetic resonance imaging. Am. J. Cardiol. 2013, 112, 560–566. [Google Scholar] [CrossRef] [PubMed]
  14. Perez De Isla, L.; Zamorano, J.; Fernandez-Golfin, C.; Ciocarelli, S.; Corros, C.; Sanchez, T.; Ferreirós, J.; Marcos-Alberca, P.; Almeria, C.; Rodrigo, J.L.; et al. 3D color-Doppler echocardiography and chronic aortic regurgitation: A novel approach for severity assessment. Int. J. Cardiol. 2013, 166, 640–645. [Google Scholar] [CrossRef]
  15. Malahfji, M.; Crudo, V.; Kaolawanich, Y.; Nguyen, D.T.; Telmesani, A.; Saeed, M.; Reardon, M.J.; Zoghbi, W.A.; Polsani, V.; Elliott, M.; et al. Influence of Cardiac Remodeling on Clinical Outcomes in Patients with Aortic Regurgitation. J. Am. Coll. Cardiol. 2023, 81, 1885–1898. [Google Scholar] [CrossRef]
  16. Hashimoto, G.; Enriquez-Sarano, M.; Stanberry, L.I.; Oh, F.; Wang, M.; Acosta, K.; Sato, H.; Lopes, B.B.C.; Fukui, M.; Garcia, S.; et al. Association of Left Ventricular Remodeling Assessment by Cardiac Magnetic Resonance with Outcomes in Patients with Chronic Aortic Regurgitation. JAMA Cardiol. 2022, 7, 924–933. [Google Scholar] [CrossRef]
  17. Malahfji, M.; Senapati, A.; Tayal, B.; Nguyen, D.T.; Graviss, E.A.; Nagueh, S.F.; Reardon, M.J.; Quinones, M.; Zoghbi, W.A.; Shah, D.J. Myocardial scar and mortality in chronic aortic regurgitation. J. Am. Heart Assoc. 2020, 9, e018731. [Google Scholar] [CrossRef]
  18. Senapati, A.; Malahfji, M.; Debs, D.; Yang, E.Y.; Nguyen, D.T.; Graviss, E.A.; Shah, D.J. Regional Replacement and Diffuse Interstitial Fibrosis in Aortic Regurgitation: Prognostic Implications from Cardiac Magnetic Resonance. JACC Cardiovasc. Imaging 2021, 14, 2170–2182. [Google Scholar] [CrossRef]
  19. Zito, F.; Veen, K.M.; Melina, G.; Lansac, E.; Schäfers, H.J.; de Kerchove, L.; Takkenberg, J.J.M.; Kluin, J.; Mokhles, M.M. Aortic valve repair in adults: Long-term clinical outcomes and echocardiographic evolution in different valve repair techniques. Eur. J. Cardio-Thorac. Surg. 2025, 67, ezaf020. [Google Scholar] [CrossRef]
  20. Mazine, A.; El-Hamamsy, I.; Verma, S.; Peterson, M.D.; Bonow, R.O.; Yacoub, M.H.; David, T.E.; Bhatt, D.L. Ross Procedure in Adults for Cardiologists and Cardiac Surgeons: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2018, 72, 2761–2777. [Google Scholar] [CrossRef] [PubMed]
  21. Samimi, S.; Hatab, T.; Kharsa, C.; Khan, S.U.; Bou Chaaya, R.G.; Qamar, F.; Aoun, J.; Zaid, S.; Faza, N.; Atkins, M.D.; et al. Meta-Analysis of Dedicated vs Off-Label Transcatheter Devices for Native Aortic Regurgitation. JACC Cardiovasc Interv. 2024, 18, 44–57. [Google Scholar] [CrossRef]
  22. Pouleur, A.C.; le Polain de Waroux, J.B.; Goffinet, C.; Vancraeynest, D.; Pasquet, A.; Gerber, B.L.; Vanoverschelde, J.L. Accuracy of the Flow Convergence Method for Quantification of Aortic Regurgitation in Patients with Central Versus Eccentric Jets. Am. J. Cardiol. 2008, 102, 475–480. [Google Scholar] [CrossRef]
  23. Choi, J.; Hong, G.R.; Kim, M.; Cho, I.J.; Shim, C.Y.; Chang, H.J.; Mancina, J.; Ha, J.W.; Chung, N. Automatic quantification of aortic regurgitation using 3D full volume color doppler echocardiography: A validation study with cardiac magnetic resonance imaging. Int. J. Cardiovasc. Imaging 2015, 31, 1379–1389. [Google Scholar] [CrossRef] [PubMed]
  24. Yanagi, Y.; Kanzaki, H.; Yonezawa, R.; Joh, Y.; Moriuchi, K.; Amano, M.; Okada, A.; Amaki, M.; Izumi, C. Diagnostic value of vena contracta area measurement using three-dimensional transesophageal echocardiography in assessing the severity of aortic regurgitation. Echocardiography 2021, 38, 1307–1313. [Google Scholar] [CrossRef] [PubMed]
  25. Yang, L.T.; Lee, C.C.; Su, C.H.; Amano, M.; Nabeshima, Y.; Kitano, T.; Tsai, C.M.; Hung, C.L.; Nakaoku, Y.; Nishimura, K.; et al. Analysis of Left Ventricular Indexes and Mortality Among Asian Adults with Hemodynamically Significant Chronic Aortic Regurgitation. JAMA Netw. Open 2023, 6, e234632. [Google Scholar] [CrossRef] [PubMed]
  26. Hanet, V.; Schäfers, H.J.; Lansac, E.; de Kerchove, L.; El Hamansy, I.; Vojácek, J.; Contino, M.; Pouleur, A.C.; Beauloye, C.; Pasquet, A.; et al. Impact of early versus class I–triggered surgery on postoperative survival in severe aortic regurgitation: An observational study from the Aortic Valve Insufficiency and Ascending Aorta Aneurysm International Registry. J. Thorac. Cardiovasc. Surg. 2023, 168, 1011–1022. [Google Scholar] [CrossRef]
  27. Tornos, P.; Sambola, A.; Permanyer-Miralda, G.; Evangelista, A.; Gomez, Z.; Soler-Soler, J. Long-term outcome of surgically treated aortic regurgitation: Influence of guideline adherence toward early surgery. J. Am. Coll. Cardiol. 2006, 47, 1012–1017. [Google Scholar] [CrossRef]
  28. Mentias, A.; Feng, K.; Alashi, A.; Leonardo Rodriguez, L.; Gillinov, A.M.; Johnston, D.R.; Sabik, J.F.; Svensson, L.G.; Grimm, R.A.; Griffin, B.P.; et al. Long-Term Outcomes in Patients with Aortic Regurgitation and Preserved Left Ventricular Ejection Fraction. J. Am. Coll. Cardiol. 2016, 68, 2144–2153. [Google Scholar] [CrossRef]
  29. Lopez Santi, P.; Bernard, J.; Fortuni, F.; Butcher, S.C.; Meucci, M.C.; Sarrazyn, C.; Chua, A.P.; Nabeta, T.; Zhang, J.; Popescu, B.A.; et al. Left ventricular dilatation in patients with significant aortic regurgitation: Association with outcome. Eur. Heart J. Cardiovasc. Imaging 2025, 26, 1466–1474. [Google Scholar] [CrossRef]
  30. Yang, L.T.; Anand, V.; Zambito, E.I.; Pellikka, P.A.; Scott, C.G.; Thapa, P.; Padang, R.; Takeuchi, M.; Nishimura, R.A.; Enriquez-Sarano, M.; et al. Association of echocardiographic left ventricular end-systolic volume and volume-derived ejection fraction with outcome in asymptomatic chronic aortic regurgitation. JAMA Cardiol. 2021, 6, 189–198. [Google Scholar] [CrossRef]
  31. Alashi, A.; Khullar, T.; Mentias, A.; Gillinov, A.M.; Roselli, E.E.; Svensson, L.G.; Popovic, Z.B.; Griffin, B.P.; Desai, M.Y. Long-Term Outcomes After Aortic Valve Surgery in Patients with Asymptomatic Chronic Aortic Regurgitation and Preserved LVEF: Impact of Baseline and Follow-Up Global Longitudinal Strain. JACC Cardiovasc. Imaging 2020, 13, 12–21. [Google Scholar] [CrossRef]
  32. Yang, L.T.; Takeuchi, M.; Scott, C.G.; Thapa, P.; Wang, T.D.; Villarraga, H.R.; Padang, R.; Enriquez-Sarano, M.; Michelena, H.I. Automated Global Longitudinal Strain Exhibits a Robust Association with Death in Asymptomatic Chronic Aortic Regurgitation. J. Am. Soc. Echocardiogr. 2022, 35, 692–702.e8. [Google Scholar] [CrossRef]
  33. Akintoye, E.; El Dahdah, J.; Dabbagh, M.M.; Patel, H.; Badwan, O.; Braghieri, L.; Chedid El Helou, M.; Kassab, J.; Jellis, C.L.; Desai, M.Y.; et al. Longitudinal Assessment of Left Atrial Remodeling in Patients with Chronic Severe Aortic Regurgitation. JACC Cardiovasc. Imaging 2024, 17, 1133–1145. [Google Scholar] [CrossRef]
  34. Lai, K.Y.; Lee, C.Y.; Chang, Y.C.; Liu, K.; Takeuchi, M.; Yang, L.T.; Ho, Y.L. Prognostic value of fully-automated left atrial strain in patients with asymptomatic chronic severe aortic regurgitation. Int. J. Cardiol. 2024, 416, 132487. [Google Scholar] [CrossRef]
  35. Izumi, C.; Eishi, K.; Ashihara, K.; Arita, T.; Otsuji, Y.; Kunihara, T.; Komiya, T.; Shibata, T.; Seo, Y.; Daimon, M.; et al. JCS/JSCS/JATS/JSVS 2020 Guidelines on the Management of Valvular Heart Disease. Circ. J. 2020, 84, 2037–2119. [Google Scholar] [CrossRef]
  36. Popović, Z.B.; Desai, M.Y.; Griffin, B.P. Decision Making with Imaging in Asymptomatic Aortic Regurgitation. JACC Cardiovasc. Imaging 2018, 11, 1499–1513. [Google Scholar] [CrossRef]
  37. Kusunose, K.; Agarwal, S.; Marwick, T.H.; Griffin, B.P.; Popovic, Z.B. Decision making in asymptomatic aortic regurgitation in the era of guidelines incremental values of resting and exercise cardiac dysfunction. Circ. Cardiovasc. Imaging 2014, 7, 352–362. [Google Scholar] [CrossRef]
  38. Lee, S.Y.; Park, S.J.; Kim, E.K.; Chang, S.A.; Lee, S.C.; Ahn, J.H.; Carriere, K.; Park, S.W. Predictive value of exercise stress echocardiography in asymptomatic patients with severe aortic regurgitation and preserved left ventricular systolic function without LV dilatation. Int. J. Cardiovasc. Imaging 2019, 35, 1241–1247. [Google Scholar] [CrossRef] [PubMed]
  39. Cawley, P.J.; Hamilton-Craig, C.; Owens, D.S.; Krieger, E.V.; Strugnell, W.E.; Mitsumori, L.; D’Jang, C.L.; Schwaegler, R.G.; Nguyen, K.Q.; Nguyen, B.; et al. Prospective comparison of valve regurgitation quantitation by cardiac magnetic resonance imaging and transthoracic echocardiography. Circ. Cardiovasc. Imaging 2013, 6, 48–57. [Google Scholar] [CrossRef] [PubMed]
  40. Wisenbaugh, T.; Spann, J.F.; Carabello, B.A. Differences in myocardial performance and load between patients with similar amounts of chronic aortic versus chronic mitral regurgitation. J. Am. Coll. Cardiol. 1984, 3, 916–923. [Google Scholar] [CrossRef] [PubMed]
  41. Uretsky, S.; Supariwala, A.; Nidadovolu, P.; Khokhar, S.S.; Comeau, C.; Shubayev, O.; Campanile, F.; Wolff, S.D. Quantification of left ventricular remodeling in response to isolated aortic or mitral regurgitation. J. Cardiovasc. Magn. Reson. 2010, 12, 32. [Google Scholar] [CrossRef]
  42. Vahanian, A.; Beyersdorf, F.; Praz, F.; Milojevic, M.; Baldus, S.; Bauersachs, J.; Capodanno, D.; Conradi, L.; De Bonis, M.; De Paulis, R.; et al. 2021 ESC/EACTS Guidelines for the management of valvular heart disease. Eur. Heart J. 2022, 43, 561–632. [Google Scholar] [CrossRef]
  43. Vejpongsa, P.; Xu, J.; Quinones, M.A.; Shah, D.J.; Zoghbi, W.A. Differences in Cardiac Remodeling in Left-Sided Valvular Regurgitation: Implications for Optimal Definition of Significant Aortic Regurgitation. JACC Cardiovasc. Imaging 2022, 15, 1730–1741. [Google Scholar] [CrossRef] [PubMed]
  44. Marigliano, A.N.; Ortiz, J.T.; Casas, J.; Evangelista, A. Aortic Regurgitation: From Valvular to Myocardial Dysfunction. J. Clin. Med. 2024, 13, 2929. [Google Scholar] [CrossRef] [PubMed]
  45. Otto, C.M.; Nishimura, R.A.; Bonow, R.O.; Carabello, B.A.; Erwin, J.P.; Gentile, F.; Jneid, H.; Krieger, E.V.; Mack, M.; McLeod, C.; et al. 2020 ACC/AHA Guideline for the Management of Patients with Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J. Am. Coll. Cardiol. 2021, 77, e25–e197. [Google Scholar] [CrossRef]
  46. Akintoye, E.; Saijo, Y.; Braghieri, L.; Badwan, O.; Patel, H.; Dabbagh, M.M.; El Dahdah, J.; Jellis, C.L.; Desai, M.Y.; Rodriguez, L.L.; et al. Impact of Age and Sex on Left Ventricular Remodeling in Patients with Aortic Regurgitation. J. Am. Coll. Cardiol. 2023, 81, 1474–1487. [Google Scholar] [CrossRef]
  47. Tower-Rader, A.; Mathias, I.S.; Obuchowski, N.A.; Kocyigit, D.; Kumar, Y.; Donnellan, E.; Bolen, M.; Phelan, D.; Flamm, S.; Griffin, B.; et al. Sex-based differences in left ventricular remodeling in patients with chronic aortic regurgitation: A multi-modality study. J. Cardiovasc. Magn. Reson. 2022, 24, 12. [Google Scholar] [CrossRef]
  48. Malahfji, M.; Senapati, A.; Debs, D.; Saeed, M.; Tayal, B.; Nguyen, D.T.; Graviss, E.A.; Shah, D.J. Sex differences in myocardial remodeling and extracellular volume in aortic regurgitation. Sci. Rep. 2023, 13, 11334. [Google Scholar] [CrossRef] [PubMed]
  49. Hanet, V.; Altes, A.; de Azevedo, D.; de Meester, C.; Pasquet, A.; Pouleur, A.C.; Vanoverschelde, J.L.; Vancraeynest, D.; Gerber, B.L. Influence of age and sex on left ventricular remodelling in chronic aortic regurgitation. Eur. Heart J. Cardiovasc. Imaging 2025, 26, 1283–1291. [Google Scholar] [CrossRef]
  50. Lai, K.Y.; Amano, M.; Nabeshima, Y.; Lee, C.C.; Su, C.H.; Liu, K.; Kitano, T.; Wang, C.H.; Kao, H.L.; Ho, Y.L.; et al. Sex-Specific Left Ventricular and Aorta Size Cut-Off Values for Hemodynamically Significant Chronic Aortic Regurgitation—Implications for Treatment in Asian Populations. Circ. J. 2024, 88, 2010–2020. [Google Scholar] [CrossRef]
  51. Nabeshima, Y.; Addetia, K.; Asch, F.M.; Lang, R.M.; Takeuchi, M. Application of Allometric Methods for Indexation of Left Ventricular End-Diastolic Volume to Normal Echocardiographic Data and Assessing Gender and Racial Differences. J. Am. Soc. Echocardiogr. 2023, 36, 596–603.e3. [Google Scholar] [CrossRef]
  52. Yang, W.; Xu, J.; Zhu, L.; Zhang, Q.; Wang, Y.; Zhao, S.; Lu, M. Myocardial Strain Measurements Derived from MR Feature-Tracking: Influence of Sex, Age, Field Strength, and Vendor. JACC Cardiovasc. Imaging 2024, 17, 364–379. [Google Scholar] [CrossRef]
  53. Praz, F.; Borger, M.A.; Lanz, J.; Marin-Cuartas, M.; Abreu, A.; Adamo, M.; Ajmone Marsan, N.; Barili, F.; Bonaros, N.; Cosyns, B.; et al. 2025 ESC/EACTS Guidelines for the management of valvular heart disease. Eur. Heart J. 2025, 46, 4635–4736. [Google Scholar] [CrossRef]
  54. Zoghbi, W.A.; Adams, D.; Bonow, R.O.; Enriquez-Sarano, M.; Foster, E.; Grayburn, P.A.; Hahn, R.T.; Han, Y.; Hung, J.; Lang, R.M.; et al. Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation: A Report from the American Society of Echocardiography Developed in Collaboration with the Society for Cardiovascular Magnetic Resonance. J. Am. Soc. Echocardiogr. 2017, 30, 303–371. [Google Scholar] [CrossRef] [PubMed]
  55. Postigo, A.; Pérez-David, E.; Revilla, A.; Raquel, L.A.; González-Mansilla, A.; Prieto-Arévalo, R.; Espinosa, M.Á.; López-Jimenez, R.A.; Sevilla, T.; Urueña, N.; et al. A comparison of the clinical efficacy of echocardiography and magnetic resonance for chronic aortic regurgitation. Eur. Heart J. Cardiovasc. Imaging 2022, 23, 392–401. [Google Scholar] [CrossRef]
  56. Chen, H.; Zeng, J.; Liu, D.; Yang, Q. Prognostic value of late gadolinium enhancement on CMR in patients with severe aortic valve disease: A systematic review and meta-analysis. Clin. Radiol. 2018, 73, 983.e7–983.e14. [Google Scholar] [CrossRef]
  57. Pires, L.T.; Rosa, V.E.E.; Morais, T.C.; Bello, J.H.S.M.; Fernandes, J.R.C.; De Santis, A.; Lopes, M.P.; Gutierrez, P.S.; Rochitte, C.E.; Nomura, C.H.; et al. Postoperative myocardial fibrosis assessment in aortic valvular heart diseases—A cardiovascular magnetic resonance study. Eur. Heart J. Cardiovasc. Imaging 2023, 24, 851–862. [Google Scholar] [CrossRef] [PubMed]
  58. Thornton, G.D.; McKenna, M.; Bennett, J.B.; Hughes, A.; González, A.; Khanji, M.Y.; Cavalcante, J.L.; Lloyd, G.; Moon, J.C.; Bhattacharyya, S.; et al. Myocardial remodelling in aortic regurgitation: Time to think beyond volumes and function? Eur. Heart J. Cardiovasc. Imaging 2025, 26, 1829–1839. [Google Scholar] [CrossRef]
  59. Smiseth, O.A.; Rider, O.; Cvijic, M.; Valkovič, L.; Remme, E.W.; Voigt, J.U. Myocardial Strain Imaging: Theory, Current Practice, and the Future. JACC Cardiovasc. Imaging 2025, 18, 340–381. [Google Scholar] [CrossRef]
  60. Alashi, A.; Mentias, A.; Abdallah, A.; Feng, K.; Gillinov, A.M.; Rodriguez, L.L.; Johnston, D.R.; Svensson, L.G.; Popovic, Z.B.; Griffin, B.P.; et al. Incremental Prognostic Utility of Left Ventricular Global Longitudinal Strain in Asymptomatic Patients with Significant Chronic Aortic Regurgitation and Preserved Left Ventricular Ejection Fraction. JACC Cardiovasc. Imaging 2018, 11, 673–682. [Google Scholar] [CrossRef] [PubMed]
  61. Kočková, R.; Línková, H.; Hlubocká, Z.; Mědílek, K.; Tuna, M.; Vojáček, J.; Skalský, I.; Černý, Š.; Malý, J.; Hlubocký, J.; et al. Multiparametric Strategy to Predict Early Disease Decompensation in Asymptomatic Severe Aortic Regurgitation. Circ. Cardiovasc. Imaging 2022, 15, e014901. [Google Scholar] [CrossRef]
  62. Thomas, J.D.; Edvardsen, T.; Abraham, T.; Appadurai, V.; Badano, L.; Banchs, J.; Cho, G.Y.; Cosyns, B.; Delgado, V.; Donal, E.; et al. Clinical Applications of Strain Echocardiography: A Clinical Consensus Statement from the American Society of Echocardiography Developed in Collaboration With the European Association of Cardiovascular Imaging of the European Society of Cardiology. J. Am. Soc. Echocardiogr. 2025, 38, 985–1020. [Google Scholar] [CrossRef] [PubMed]
  63. Mihos, C.G.; Liu, J.E.; Anderson, K.M.; Pernetz, M.A.; O’Driscoll, J.M.; Aurigemma, G.P.; Ujueta, F.; Wessly, P.; American Heart Association Council on Peripheral Vascular Disease; Council on Cardiovascular and Stroke Nursing; et al. Speckle-Tracking Strain Echocardiography for the Assessment of Left Ventricular Structure and Function: A Scientific Statement from the American Heart Association. Circulation 2025, 152, e96–e109. [Google Scholar] [CrossRef]
  64. Sade, L.E.; Joshi, S.S.; Cameli, M.; Cosyns, B.; Delgado, V.; Donal, E.; Edvardsen, T.; Carvalho, R.F.; Manka, R.; Podlesnikar, T.; et al. Current clinical use of speckle-tracking strain imaging: Insights from a worldwide survey from the European Association of Cardiovascular Imaging (EACVI). Eur. Heart J. Cardiovasc. Imaging 2023, 24, 1583–1592. [Google Scholar] [CrossRef]
  65. Pathan, F.; Zainal Abidin, H.A.; Vo, Q.H.; Zhou, H.; D’Angelo, T.; Elen, E.; Negishi, K.; Puntmann, V.O.; Marwick, T.H.; Nagel, E. Left atrial strain: A multi-modality, multi-vendor comparison study. Eur. Heart J. Cardiovasc. Imaging 2021, 22, 102–110. [Google Scholar] [CrossRef] [PubMed]
  66. Mirea, O.; Duchenne, J.; Voigt, J.U. Comparison between Nondedicated and Novel Dedicated Tracking Tool for Right Ventricular and Left Atrial Strain. J. Am. Soc. Echocardiogr. 2022, 35, 419–425. [Google Scholar] [CrossRef]
  67. Danaila, V.; Archer, O.; Stefani, L.; Ferkh, A.; Khanna, S.; Pathan, F.; Brown, P.; Thomas, L. Vendor and software based variation in left atrial strain measurements: Implications for clinical practice. Int. J. Cardiovasc. Imaging 2025, 41, 1957–1964. [Google Scholar] [CrossRef] [PubMed]
  68. Anand, V.; Hu, H.; Weston, A.D.; Scott, C.G.; Michelena, H.I.; Pislaru, S.V.; Carter, R.E.; Pellikka, P.A. Machine learning-based risk stratification for mortality in patients with severe aortic regurgitation. Eur. Heart J.—Digit. Health 2023, 4, 188–195. [Google Scholar] [CrossRef]
  69. Armoundas, A.A.; Narayan, S.M.; Arnett, D.K.; Spector-Bagdady, K.; Bennett, D.A.; Celi, L.A.; Friedman, P.A.; Gollob, M.H.; Hall, J.L.; Kwitek, A.E.; et al. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement from the American Heart Association. Circulation 2024, 149, e1028–e1050. [Google Scholar] [CrossRef] [PubMed]
  70. Nedadur, R.; Wang, B.; Tsang, W. Artificial intelligence for the echocardiographic assessment of valvular heart disease. Heart 2022, 108, 1592–1599. [Google Scholar] [CrossRef]
  71. Thourani, V.H.; Puskas, J.D.; Griffith, B.; Svensson, L.G.; Pibarot, P.; Borger, M.A.; Heimansohn, D.; Beaver, T.; Blackstone, E.H.; Antonio, A.L.M.; et al. Five-year Comparison of Clinical and Echocardiographic Outcomes of Pure Aortic Stenosis with Pure Aortic Regurgitation or Mixed Aortic Valve Disease in the COMMENCE Trial. JTCVS Open 2024, 22, 160–173. [Google Scholar] [CrossRef]
  72. Chaliki, H.P.; Mohty, D.; Avierinos, J.F.; Scott, C.G.; Schaff, H.V.; Tajik, A.J.; Enriquez-Sarano, M. Outcomes after aortic valve replacement in patients with severe aortic regurgitation and markedly reduced left ventricular function. Circulation 2002, 106, 2687–2693. [Google Scholar] [CrossRef] [PubMed]
  73. Poh, C.L.; Buratto, E.; Larobina, M.; Wynne, R.; O’Keefe, M.; Goldblatt, J.; Tatoulis, J.; Skillington, P.D. The Ross procedure in adults presenting with bicuspid aortic valve and pure aortic regurgitation: 85% freedom from reoperation at 20 years. Eur. J. Cardio-Thorac. Surg. 2018, 54, 420–426. [Google Scholar] [CrossRef]
  74. Abeln, K.B.; Ehrlich, T.; Souko, I.; Brenner, F.; Schäfers, H.J. Autograft reoperations after the Ross procedure. Eur. J. Cardio-Thorac. Surg. 2023, 63, ezad117. [Google Scholar] [CrossRef] [PubMed]
  75. Tamer, S.; Mastrobuoni, S.; Vancraeynest, D.; Lemaire, G.; Navarra, E.; Khoury, G.E.; de Kerchove, L. Late results of aortic valve repair for isolated severe aortic regurgitation. J. Thorac. Cardiovasc. Surg. 2023, 165, 995–1006.e3. [Google Scholar] [CrossRef]
  76. Mentias, A.; Saad, M.; Menon, V.; Reed, G.W.; Popovic, Z.; Johnston, D.; Rodriguez, L.; Gillinov, M.; Griffin, B.; Jneid, H.; et al. Transcatheter vs Surgical Aortic Valve Replacement in Pure Native Aortic Regurgitation. Ann. Thorac. Surg. 2023, 115, 870–876. [Google Scholar] [CrossRef]
  77. Poletti, E.; De Backer, O.; Scotti, A.; Costa, G.; Bruno, F.; Fiorina, C.; Buzzatti, N.; Latini, A.; Rudolph, T.K.; van den Dorpel, M.M.P.; et al. Transcatheter Aortic Valve Replacement for Pure Native Aortic Valve Regurgitation: The PANTHEON International Project. JACC Cardiovasc. Interv. 2023, 16, 1974–1985. [Google Scholar] [CrossRef]
  78. Vahl, T.P.; Thourani, V.H.; Makkar, R.R.; Hamid, N.; Khalique, O.K.; Daniels, D.; McCabe, J.M.; Satler, L.; Russo, M.; Cheng, W.; et al. Transcatheter aortic valve implantation in patients with high-risk symptomatic native aortic regurgitation (ALIGN-AR): A prospective, multicentre, single-arm study. Lancet 2024, 403, 1451–1459. [Google Scholar] [CrossRef]
  79. Makkar, R.R.; Thourani, V.H.; Vahl, T.P.; Yadav, P.K.; McCabe, J.M.; George, I.; Satler, L.; Chetcuti, S.; Daniels, D.V.; Waggoner, T.; et al. Transcatheter aortic valve implantation with the Trilogy valve for symptomatic native aortic regurgitation (ALIGN-AR): A pivotal, multicentre, single-arm, investigational device exemption study. Lancet 2025, 406, 2757–2771. [Google Scholar] [CrossRef]
  80. De Paulis, R.; Chirichilli, I.; De Kerchove, L.; Della Corte, A.; El Khoury, G.; Michelena, H.I.; Salica, A.; Schäfers, H.J. Current status of aortic valve repair surgery. Eur. Heart J. 2025, 46, 1394–1411. [Google Scholar] [CrossRef] [PubMed]
  81. Price, J.; De Kerchove, L.; Glineur, D.; Vanoverschelde, J.L.; Noirhomme, P.; El Khoury, G. Risk of valve-related events after aortic valve repair. Ann. Thorac. Surg. 2013, 95, 606–613. [Google Scholar] [CrossRef]
  82. el Mathari, S.; Boulidam, N.; de Heer, F.; de Kerchove, L.; Schäfers, H.J.; Lansac, E.; Twisk, J.W.R.; Kluin, J.; Aortic Valve Research Network Investigators. Surgical outcomes of aortic valve repair for specific aortic valve cusp characteristics; retraction, calcification, and fenestration. J. Thorac. Cardiovasc. Surg. 2023, 166, 1627–1634.e3. [Google Scholar] [CrossRef] [PubMed]
  83. Lansac, E.; de Kerchove, L. Aortic valve repair techniques: State of the art. Eur. J. Cardio-Thorac. Surg. 2018, 53, 1101–1107. [Google Scholar] [CrossRef] [PubMed]
  84. El Khoury, G.; Vanoverschelde, J.L.; Glineur, D.; Pierard, F.; Verhelst, R.R.; Rubay, J.; Funken, J.C.; Watremez, C.; Astarci, P.; Lacroix, V.; et al. Repair of bicuspid aortic valves in patients with aortic regurgitation. Circulation 2006, 114, I-610. [Google Scholar] [CrossRef]
  85. De Meester, C.; Pasquet, A.; Gerber, B.L.; Vancraeynest, D.; Noirhomme, P.; El Khoury, G.; Vanoverschelde, J.L. Valve repair improves the outcome of surgery for chronic severe aortic regurgitation: A propensity score analysis. J. Thorac. Cardiovasc. Surg. 2014, 148, 1913–1920. [Google Scholar] [CrossRef]
  86. Almaghrabi, S.; Michelena, H.; Jelenc, M.; Abeln, K.B.; Ehrlich, T.; Schäfers, H.J. Contemporary Valvular Mechanisms of Aortic Regurgitation in Tricuspid Aortic Valves: Importance in Repair Versus Replacement Strategy. J. Am. Heart Assoc. 2024, 13, e032532. [Google Scholar] [CrossRef]
  87. Baman, J.R.; Medhekar, A.N.; Malaisrie, S.C.; McCarthy, P.; Davidson, C.J.; Bonow, R.O. Management Challenges in Patients Younger Than 65 Years with Severe Aortic Valve Disease: A Review. JAMA Cardiol. 2023, 8, 281–289. [Google Scholar] [CrossRef] [PubMed]
  88. Girdauskas, E.; Balaban, Ü.; Herrmann, E.; Bauer, T.; Beckmann, A.; Bekeredjian, R.; Ensminger, S.; Frerker, C.; Möllmann, H.; Petersen, J.; et al. Aortic Valve Repair Results in Better 1-Year Survival Than Replacement: Results from German Aortic Valve Registry. Ann. Thorac. Surg. 2024, 117, 517–525. [Google Scholar] [CrossRef]
  89. Aicher, D.; Fries, R.; Rodionycheva, S.; Schmidt, K.; Langer, F.; Schäfers, H.J. Aortic valve repair leads to a low incidence of valve-related complications. Eur. J. Cardio-Thorac. Surg. 2010, 37, 127–132. [Google Scholar] [CrossRef]
  90. Arnaoutakis, G.J.; Sultan, I.; Siki, M.; Bavaria, J.E. Bicuspid aortic valve repair: Systematic review on long-term outcomes. Ann. Cardiothorac. Surg. 2019, 8, 302–312. [Google Scholar] [CrossRef]
  91. Wong, C.H.M.; Chan, J.S.K.; Sanli, D.; Rahimli, R.; Harky, A. Aortic valve repair or replacement in patients with aortic regurgitation: A systematic review and meta-analysis. J. Card. Surg. 2019, 34, 377–384. [Google Scholar] [CrossRef]
  92. Mazine, A.; David, T.E.; Rao, V.; Hickey, E.J.; Christie, S.; Manlhiot, C.; Ouzounian, M. Long-term outcomes of the ross procedure versus mechanical aortic valve replacement. Circulation 2016, 134, 576–585. [Google Scholar] [CrossRef]
  93. Mazine, A.; David, T.E.; Stoklosa, K.; Chung, J.; Lafreniere-Roula, M.; Ouzounian, M. Improved Outcomes Following the Ross Procedure Compared with Bioprosthetic Aortic Valve Replacement. J. Am. Coll. Cardiol. 2022, 79, 993–1005. [Google Scholar] [CrossRef]
  94. Yokoyama, Y.; Kuno, T.; Toyoda, N.; Fujisaki, T.; Takagi, H.; Itagaki, S.; Ibrahim, M.; Ouzounian, M.; El-Hamamsy, I.; Fukuhara, S. Ross Procedure Versus Mechanical Versus Bioprosthetic Aortic Valve Replacement: A Network Meta-Analysis. J. Am. Heart Assoc. 2023, 12, e027715. [Google Scholar] [CrossRef]
  95. El-Hamamsy, I.; Toyoda, N.; Itagaki, S.; Stelzer, P.; Varghese, R.; Williams, E.E.; Erogova, N.; Adams, D.H. Propensity-Matched Comparison of the Ross Procedure and Prosthetic Aortic Valve Replacement in Adults. J. Am. Coll. Cardiol. 2022, 79, 805–815. [Google Scholar] [CrossRef] [PubMed]
  96. Galzerano, D.; Kholaif, N.; Al Amro, B.; Al Admawi, M.; Eltayeb, A.; Alshammari, A.; Di Salvo, G.; Al-Halees, Z.Y. The Ross Procedure: Imaging, Outcomes and Future Directions in Aortic Valve Replacement. J. Clin. Med. 2024, 13, 630. [Google Scholar] [CrossRef] [PubMed]
  97. Abeln, K.B.; Froede, L.; Ehrlich, T.; Souko, I.; Schäfers, H.J. Ross Procedure for Aortic Regurgitation versus Stenosis in Adults with and Without Autograft Support. Eur. J. Cardiothorac. Surg. 2025, 67, ezaf021. [Google Scholar] [CrossRef]
  98. Bouhout, I.; Ghoneim, A.; Tousch, M.; Stevens, L.M.; Semplonius, T.; Tarabzoni, M.; Poirier, N.; Cartier, R.; Demers, P.; Guo, L.; et al. Impact of a tailored surgical approach on autograft root dimensions in patients undergoing the Ross procedure for aortic regurgitation. Eur. J. Cardio-Thorac. Surg. 2019, 56, 959–967. [Google Scholar] [CrossRef] [PubMed]
  99. Mazine, A.; Ghoneim, A.; El-Hamamsy, I. The Ross Procedure: How I Teach It. Ann. Thorac. Surg. 2018, 105, 1294–1298. [Google Scholar] [CrossRef]
  100. Mazine, A.; El-Hamamsy, I. Tailoring the Ross procedure for patients with aortic regurgitation. JTCVS Tech. 2021, 10, 383–389. [Google Scholar] [CrossRef]
  101. Vojacek, J.; Gofus, J.; Andreas, M.; Bavaria, J.E.; Berdajs, D.; Casselman, F.P.A.; El-Hamamsy, I.; Holubec, T.; de Kerchove, L.; Milojevic, M.; et al. EACTS Expert Consensus Statement on the Ross Procedure in Adult Patients. Eur. J. Cardiothorac. Surg. 2025, ezaf295. [Google Scholar] [CrossRef]
  102. Oeser, C.; Uyanik-Uenal, K.; Kocher, A.; Laufer, G.; Andreas, M. The Ross procedure in adult patients: A single-centre analysis of long-term results up to 28 years. Eur. J. Cardiothorac. Surg. 2022, 62, ezac379. [Google Scholar] [CrossRef] [PubMed]
  103. Vora, A.N.; Sreenivasan, J.; Forrest, J.K. Progressing Forward in Transcatheter Aortic Valve Replacement for Pure Aortic Regurgitation. JACC Cardiovasc. Interv. 2023, 16, 1986–1989. [Google Scholar] [CrossRef] [PubMed]
  104. Elkasaby, M.H.; Khalefa, B.B.; Yassin, M.N.A.; Alabdallat, Y.J.; Atia, A.; Altobaishat, O.; Omar, I.; Hussein, A. Transcatheter aortic valve implantation versus surgical aortic valve replacement for pure aortic regurgitation: A systematic review and meta-analysis of 33,484 patients. BMC Cardiovasc. Disord. 2024, 24, 65. [Google Scholar] [CrossRef]
  105. Liu, R.; Fu, Z.; Jiang, Z.; Yan, Y.; Yao, J.; Liu, X.; Yan, X.; Song, G. Transcatheter aortic valve replacement for aortic regurgitation: A systematic review and meta-analysis. ESC Heart Fail. 2024, 11, 3488–3500. [Google Scholar] [CrossRef] [PubMed]
  106. Yoon, S.H.; Schmidt, T.; Bleiziffer, S.; Schofer, N.; Fiorina, C.; Munoz-Garcia, A.J.; Yzeiraj, E.; Amat-Santos, I.J.; Tchetche, D.; Jung, C.; et al. Transcatheter Aortic Valve Replacement in Pure Native Aortic Valve Regurgitation. J. Am. Coll. Cardiol. 2017, 70, 2752–2763. [Google Scholar] [CrossRef]
  107. Da-Wei, L.; Zi-Long, W.; Yan-Xing, F.; Jia-Ning, F.; Yi-Ming, Q.; Zhi, Z.; Yu-Liang, L.; Wen-Zhi, P.; Da-Xin, Z.; Jun-Bo, G. Short-Term Outcomes of Transcatheter Aortic Valve Replacement in Low-Risk Patients with Pure Severe Aortic Regurgitation. Am. J. Cardiol. 2024, 22, 58–64. [Google Scholar] [CrossRef]
  108. Lin, D.W.; Weng, Z.L.; Fan, J.N.; Long, Y.L.; Guan, L.H.; Pan, W.Z.; Zhou, D.X.; Ge, J.B. Outcome of Transcatheter Aortic Valve Replacement for Pure Native Aortic Regurgitation in Patients with Pulmonary Hypertension. Rev. Cardiovasc. Med. 2024, 25, 307. [Google Scholar] [CrossRef]
  109. Kočková, R.; Vojáček, J.; Bedáňová, H.; Fila, P.; Skalský, I.; Žáková, D.; Klán, M.; Míková, B.; Mědílek, K.; Tuna, M.; et al. Rationale and design of the ELEANOR trial early aortic valve surgery versus watchful waiting strategy in severe asymptomatic aortic regurgitation, ACRONYM: ELEANOR. Heliyon 2024, 10, e29470. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Article metric data becomes available approximately 24 hours after publication online.