Cine dyscontractility index: A novel marker of mechanical dyssynchrony that predicts response to cardiac resynchronization therapy

Werys, Konrad; Petryka-Mazurkiewicz, Joanna; Błaszczyk, Łukasz; Miśko, Jolanta; Śpiewak, Mateusz; Małek, Łukasz A.; Mazurkiewicz, Łukasz; Miłosz-Wieczorek, Barbara; Marczak, Magdalena; Kubik, Agata; Dąbrowska, Agnieszka; Piątkowska-Janko, Ewa; Sawionek, B.; Wijesurendra, Rohan S.; Bogorodzki, Piotr

doi:10.1002/jmri.25295

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…Fourthly, the feasibility and simplicity. Many of the proposed dyssynchrony parameters require either specialized software or complex calculations [19]. To calculate RSPI, there is no need for extra tooling or to transfer the images to another system for the final processing of the results.…”

Section: Discussionmentioning

confidence: 99%

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

Orszulak

Filipecki

Wróbel

et al. 2021

IJERPH

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Background: Cardiac resynchronization therapy (CRT) improves outcome in patients with heart failure (HF) however approximately 30% of patients still remain non-responsive. We propose a novel index—Regional Strain Pattern Index (RSPI)—to prospectively evaluate response to CRT. Methods: Echocardiography was performed in 49 patients with HF (66.5 ± 10 years, LVEF 24.9 ± 6.4%, QRS width 173.1 ± 19.1 ms) two times: before CRT implantation and 15 ± 7 months after. At baseline, dyssynchrony was assessed including RSPI and strain pattern. RSPI was calculated from all three apical views across 12 segments as the sum of dyssynchronous components. From every apical view, presence of four components were assessed: (1) contraction of the early-activated wall; (2) prestretching of the late activated wall; (3) contraction of the early-activated wall in the first 70% of the systolic ejection phase; (4) peak contraction of the late-activated wall after aortic valve closure. Each component scored 1 point, thus the maximum was 12 points. Results: Responders reached higher mean RSPI values than non-responders (5.86 ± 2.9 vs. 4.08 ± 2.4; p = 0.044). In logistic regression analysis value of RSPI ≥ 7 points was a predictor of favorable CRT effect (OR: 12; 95% CI = 1.33–108.17; p = 0.004). Conclusions: RSPI could be a valuable predictor of positive outcome in HF patients treated with CRT.

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Section: Discussionmentioning

confidence: 99%

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

Orszulak

Filipecki

Wróbel

et al. 2021

IJERPH

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“…As an early predictive marker of myocardial disease, LVMD can be measured using various imaging modalities including echocardiography, cardiac magnetic resonance imaging, and G-MPI phase analysis (22)(23)(24). Among them, G-MPI phase analysis has been widely used for the diagnosis of LVMD in patients with obstructive CAD due to its high reproducibility and good localizing ability for myocardial scars.…”

Section: Patient Characteristics/left Ventricular Mechanical Dyssynch...mentioning

confidence: 99%

A Left Ventricular Mechanical Dyssynchrony-Based Nomogram for Predicting Major Adverse Cardiac Events Risk in Patients With Ischemia and No Obstructive Coronary Artery Disease

Zhang

Shi

Fei

et al. 2022

Front. Cardiovasc. Med.

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BackgroundThe risk stratification of patients with ischemia and no obstructive coronary artery disease (INOCA) remains suboptimal. This study aims to establish a left ventricular mechanical dyssynchrony (LVMD)-based nomogram to improve the present situation.MethodsPatients with suspected coronary artery disease (CAD) were retrospectively enrolled and divided into three groups: normal (stenosis <50%, without myocardial ischemia), INOCA (stenosis <50%, summed stress score >4, summed difference score ≥2), and obstructive CAD (stenosis ≥50%). LVMD was defined by ROC analysis. INOCA group were followed up for the occurrence of major adverse cardiac events (MACEs: cardiovascular death, non-fatal myocardial infarction, revascularization, stroke, heart failure, and hospitalization for unstable angina). Nomogram was established using multivariate Cox regression analysis.ResultsAmong 334 patients (118 [35.3%] INOCA), LVMD parameters were significantly higher in INOCA group versus normal group but they did not differ between obstructive CAD groups. In INOCA group, 27 (22.9%) MACEs occurred during a 26-month median follow-up. Proportion of LVMD was significantly higher with MACEs under both stress (63.0% vs. 22.0%, P < 0.001) and rest (51.9% vs. 20.9%, P = 0.002). Kaplan–Meier analysis revealed significantly higher rate of MACEs (stress log-rank: P = 0.002; rest log-rank: P < 0.001) in LVMD patients. Multivariate Cox regression analysis showed that stress LVMD (HR: 3.82; 95% CI: 1.30–11.20; P = 0.015) was an independent predictor of MACEs. The internal bootstrap resampling approach indicates that the C-index of nomogram was 0.80 (95% CI: 0.71–0.89) and the AUC values for 1 and 3 years of risk prediction were 0.68 (95% CI: 0.46–0.89) and 0.84 (95% CI: 0.72–0.95), respectively.ConclusionLVMD-based nomogram might provide incremental prognostic value and improve the risk stratification in INOCA patients.

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“…In addition, MRI can be utilized for the preoperative treatment planning procedure [ 66 ] and monitoring the progression of certain disorders over time [ 67 , 68 ]. Furthermore, MRI can evaluate the anatomy of the heart and blood vessels [ 69 , 70 ] as well as the effect of surgical changes [ 71 , 72 ], especially in patients with congenital heart diseases [ 59 , 61 ]. In addition, MRI provides information about cardiac necrosis and fibrosis through late gadolinium-enhanced imaging, iron overload measurement, and myocardial tissue characterization by relaxometry [ 73 ].…”

Section: Medical Imaging Modalities For Cardiac Imagingmentioning

confidence: 99%

An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

Khalil

Liew

et al. 2018

Cardiology Research and Practice

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Image registration has been used for a wide variety of tasks within cardiovascular imaging. This study aims to provide an overview of the existing image registration methods to assist researchers and impart valuable resource for studying the existing methods or developing new methods and evaluation strategies for cardiac image registration. For the cardiac diagnosis and treatment strategy, image registration and fusion can provide complementary information to the physician by using the integrated image from these two modalities. This review also contains a description of various imaging techniques to provide an appreciation of the problems associated with implementing image registration, particularly for cardiac pathology intervention and treatments.

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Cine dyscontractility index: A novel marker of mechanical dyssynchrony that predicts response to cardiac resynchronization therapy

Cited by 8 publications

References 28 publications

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

A Left Ventricular Mechanical Dyssynchrony-Based Nomogram for Predicting Major Adverse Cardiac Events Risk in Patients With Ischemia and No Obstructive Coronary Artery Disease

An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

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