Systolic cardiac function assessment by feature tracking echocardiography in dogs with myxomatous mitral valve disease

2015 ◽  
Vol 56 (6) ◽  
pp. 383-392 ◽  
Author(s):  
M. M. Mantovani ◽  
R. A. L. Muzzi ◽  
G. G. Pereira ◽  
R. J. Yamato ◽  
A. C. Silva ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Cardiac Function ◽  
Mitral Valve Disease ◽  
Feature Tracking ◽  
Valve Disease ◽  
Function Assessment

CMR fast-SENC segmental intramyocardial LV strain monitors decline in heart function before ejection fraction in patient with mitral valve disease

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Montenbruck ◽  
S Kelle ◽  
S Esch ◽  
A.K Schwarz ◽  
S Giusca ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Ejection Fraction ◽  
Cardiac Function ◽  
Mitral Valve Disease ◽  
Heart Function ◽  
Global Longitudinal Strain ◽  
Image Plane ◽  
Valve Disease ◽  
Peak Strain ◽  
Regional Dysfunction

Abstract Background Ejection fraction is the standard metric to analyze cardiac function in the left (LV) or right (RV) ventricles. However, these global metrics are not able to characterize patients in which the heart compensates for regional dysfunction. More sensitive metrics are needed to detect subclinical regional dysfunction before cardiac remodeling results in changes in ejection fraction (EF) and global longitudinal strain (GLS). Fast-SENC intramyocardial strain (fSENC) is a unique cardiac magnetic resonance imaging (CMR) modality that measures intramyocardial contraction in 1 heartbeat per image plane. This prospective registry compares segmental fSENC to standard CMR calculations (e.g. LVEF, volumes, mass, etc.) in patients with mitral valve disease. Methods A single center, prospective registry of CMR scans acquired with a 1.5T scanner were evaluated for standard CMR calculations as well as fSENC scans. Intramyocardial LV & RV strain was quantified with MyoStrain software. Three short axis scans (basal, midventricular, & apical) were used to calculate peak strain in 16 LV & 6 RV longitudinal segments while three long axis scans (2-, 3-, & 4-chamber) were used to calculate 21 LV & 5 RV circumferential segments. Results A total of 493 scans in 424 patients with moderate or severe mitral regurgitation were included in the study. Patients had an average (± stdev) age of 60 (15) yrs and BMI of 27 (4) kg/m2; 63% had arterial hypertension, 19% diabetes mellitus, 10% atrial fibrillation, 15% pulmonary disease, and 32% coronary artery disease. Figure 1 shows the non-linear relationship between segmental fSENC strain (% of normal LV segments ≤−17%) versus LVEF (R=0.81). Conclusion Segmental fSENC detects subclinical LV dysfunction before changes in LVEF. Evaluating segmental longitudinal and circumferential fSENC peak strain provides an alternative metric that shows consistent changes in cardiac function in patients with mitral valve disease irrespective of global calculations that are dependent on loading conditions. Funding Acknowledgement Type of funding source: None

scholarly journals Novel Approach to Assess Cardiac Function Using Systolic Performance and Myocardial Performance Indices From Simultaneous Electrocardiography and Phonocardiography Recordings in Dogs With Various Stages of Myxomatous Mitral Valve Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Karlo Romano B. Gicana ◽  
Tuchakorn Lertwanakarn ◽  
Kittipong Tachampa
Keyword(s):  
Mitral Valve ◽  
Cardiac Function ◽  
Mitral Valve Disease ◽  
Predictive Accuracy ◽  
Valve Disease ◽  
Myocardial Performance ◽  
Performance Indices ◽  
Tei Index ◽  
Novel Device ◽  
Novel Approach

Background and Objective: Myxomatous mitral valve disease (MMVD) progression entails changes in the structural and functional properties of the heart affecting cardiac timings and intervals within the cardiac cycle. Conventionally, echocardiography is used to determine the cardiac time intervals (CTIs) including systolic and myocardial performance indices (SPI and MPI) in evaluating cardiac function. Alternatively, these CTIs can also be measured using simultaneous recordings of electrocardiography (ECG) and phonocardiography (PCG), but their values in different MMVD stages remain to be established. This study aimed to establish and prove the use of derived SPI and MPI from a dedicated device as a novel approach to assess cardiac function in different stages of MMVD dogs.Materials and Methods: A prospective study in 52 dogs with different MMVD stages measured the CTIs using a novel device. These were compared and correlated with standard echocardiographic parameters. The predictive value of SPI and three new proposed formulas to estimate MPI (i.e., F1, F2, and F3) in association with asymptomatic from symptomatic MMVD dogs were investigated.Results: Our findings revealed that CTI parameters measured from a novel device including QS1, QS2, S1S2, MPI-F1, and MPI-F2 were altered at different stages of MMVD. The SPI and all proposed MPI formulas were comparable with the systolic time interval and Tei index from echocardiography. In addition, the SPI, MPI-F1, and MPI-F2 were significantly correlated with the Tei index. However, the SPI was not able to differentiate the various stages of MMVD. Conversely, only the MPI-F1 (i.e., (QS1 + S2)/S1S2) demonstrated good predictive accuracy when compared between asymptomatic and symptomatic MMVD dogs similar to the Tei index. Moreover, this formula was able to differentiate stages B1 and C with remarkable predictive accuracy, higher sensitivity, and high specificity when compared with the Tei index.Conclusion: We have successfully described the CTI parameters in different MMVD stages using simultaneous ECG and PCG recordings in dogs. Furthermore, we have proven that the concept of using the newly proposed parameters from a novel device is equivalent to the Tei index. Thus, we established a novel approach to evaluate cardiac function and its supportive use in the diagnosis of MMVD patients.

Early and long-term outcomes of surgery for acute decompensated mitral valve disease

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
S Leontyev ◽  
P Davierwala ◽  
M Schneevoigt ◽  
S Lehmann ◽  
J Seeburger ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Valve Disease ◽  
Long Term Outcomes
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