Left ventricular global myocardial strain assessment comparing the reproducibility of four commercially available CMR-feature tracking algorithms

Barreiro-Pérez, Manuel; Curione, Davide; Symons, Rolf; Claus, Piet; Voigt, Jens‐Uwe; Bogaert, Jan

doi:10.1007/s00330-018-5538-4

Cited by 72 publications

(65 citation statements)

References 26 publications

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“…In comparison, reproducibility of segment was superior to TomTec and even comparable to tagging. These results are in line with a previous report by Barreiro-Perez et al [12], who investigated inter-vendor agreement of optical flow-based strain-assessment software and found a clear outperformance of segment in comparison to the other software vendors.…”

Section: Discussionsupporting

confidence: 93%

“…Optical flow-based strain assessment is increasingly being employed to assess myocardial strain in both scientific and clinical settings as part of a comprehensive CMR [6,11], data regarding direct comparisons of the different strain computation algorithms is sparse, especially for regional data [12]. Furthermore, this is the first direct comparison of different optical flowstrain analysis algorithms including an additional comparison with tagging, the reference standard for strain assessment [13,14].…”

Section: Discussionmentioning

confidence: 99%

“…The TomTec tracking algorithm has been described in detail before [15]. In brief, TomTec employs a repetitive region search and, like many other optical flow strain computation tools, uses a blood myocardial border tracing algorithm (by advanced medical imaging development) [12]. The software recognises and categorises voxels along manually defined borders based on a number of visual properties (e.g.…”

Section: Discussionmentioning

confidence: 99%

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Feature-tracking-based strain analysis – a comparison of tracking algorithms

Thomas¹,

Luetkens²,

Faron³

et al. 2020

Pol J Radiol

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Purpose: Optical flow feature-tracking (FT) strain assessment is increasingly being employed scientifically and clinically. Several software packages, employing different algorithms, enable computation of FT-derived strains. The aim of this study is to investigate the impact of the underlying algorithm on the validity and robustness of FT-derived strain results. Material and methods: CSPAMM and SSFP cine sequences were acquired in 30 subjects (15 patients with aortic stenosis and associated secondary hypertrophic cardiomyopathy, and 15 controls) in identical midventricular short-axis locations. Global peak systolic circumferential strain (PSCS) was calculated using tagging and feature-tracking software with different algorithms (non-rigid, elastic image registration, and blood myocardial border tracing). Intermodality agreement and intra-as well inter-observer variability were assessed. Results: Intermodality/inter-algorithm comparison for global PSCS using Friedman's test revealed statistically significant differences (tagging vs. blood myocardial border tracing algorithm). Intermodality assessment revealed the highest correlation between tagging and non-rigid, elastic image registration (r = 0.84), while correlation between tagging and blood myocardial border tracing (r = 0.36) and between the two feature-tracking software packages (r = 0.5) were considerably lower. Conclusions: The type of algorithm employed during feature-tracking strain assessment has a significant impact on the results. The non-rigid, elastic image registration algorithm produces more precise and reproducible results than the blood myocardium tracing algorithm.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Feature-tracking-based strain analysis – a comparison of tracking algorithms

Thomas¹,

Luetkens²,

Faron³

et al. 2020

Pol J Radiol

View full text Add to dashboard Cite

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“…Among the healthy subjects GRS values were slightly higher, and GCS and GLS slightly lower, compared to a meta-analysis of CMR FT derived strain values in normal subjects [23]. Although a high degree of interobserver reproducibility in the CMR assessment of strain has been previously demonstrated [24], recognized variations in strain on images obtained at different field strengths and significant variability across postprocessing software vendors [25] may account for these differences.…”

Section: Discussionmentioning

confidence: 77%

Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy: impact of cine bSSFP strain analysis

Dreisbach

Mathur

Houbois

et al. 2020

Journal of Cardiovascular Magnetic Resonance

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Background: Investigation of the myocardial strain characteristics of the left ventricular non-compaction (LVNC) phenotype with cardiovascular magnetic resonance (CMR) feature tracking. Methods: CMR cine balanced steady-state free precession data sets of 59 retrospectively identified LVNC phenotype patients (40 years, IQR: 28-50 years; 51% male) and 36 healthy subjects (39 years, IQR: 30-47 years; 44% male) were evaluated for LV volumes, systolic function and mass. Hypertrabeculation in patients and healthy subjects was evaluated against established CMR diagnostic criteria. Global circumferential strain (GCS), global radial strain (GRS) and global longitudinal strain (GLS) were evaluated with feature-tracking software. Subgroup analyses were performed in patients (n = 25) and healthy subjects (n = 34) with normal LV volumetrics, and with healthy subjects (n = 18) meeting at least one LVNC diagnostic criteria. Results: All LVNC phenotype patients, as well as a significant proportion of healthy subjects, met morphology-based CMR diagnostic criteria: non-compacted (NC): compacted myocardial diameter ratio > 2.3 (100% vs. 19.4%), NC mass > 20% (100% vs. 44.4%) and > 25% (100% vs. 13.9%), and NC mass indexed to body surface area > 15 g/m 2 (100% vs. 41.7%). LVNC phenotype patients demonstrated reduced GRS (26.4% vs. 37.1%; p < 0.001), GCS (− 16.5% vs. -20.5%; p < 0.001) and GLS (− 14.6% vs. -17.1%; p < 0.001) compared to healthy subjects, with statistically significant differences persisting on subgroup comparisons of LVNC phenotype patients with healthy subjects meeting diagnostic criteria. GCS also demonstrated independent and incremental diagnostic value beyond each of the morphology-based CMR diagnostic criteria. Conclusions: LVNC phenotype patients demonstrate impaired strain by CMR feature tracking, also present on comparison of subjects with normal LV volumetrics meeting diagnostic criteria. The high proportion of healthy subjects meeting morphology-based CMR diagnostic criteria emphasizes the important potential complementary diagnostic value of strain in differentiating LVNC from physiologic hypertrabeculation.

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“…Longitudinal strain was not calculated since not all patients had all the necessary acquisitions for its estimation, namely long-axis, 2-, 3-, and 4-chamber cine sequences. Radial strain was not included in the study because it has shown subpar reproducibility in previous analyses (31). Conversely, circumferential strain only requires short-axis cine sequences which were available in all patients and has shown satisfactory reproducibility in previous studies.…”

Section: Discussionmentioning

confidence: 99%

Rare Disease: Cardiac Risk Assessment With MRI in Patients With Myotonic Dystrophy Type 1

et al. 2020

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Introduction: To evaluate myocardial strain and extracellular volume in myotonic dystrophy type 1 (DM1) patients as potential imaging biomarkers of subclinical cardiac pathology. Materials and methods:We retrospectively analyzed 9 DM1 patients without apparent cardiac disease who had undergone cardiac magnetic resonance at our center. Patients were age-and sex-matched with healthy controls. The Mann-Whitney U test was used to compare cardiac strain between the two groups. The t-test was used to compare the extracellular volume obtained in DM1 patients with that in healthy subject. Spearman's ρ was used for studying the associations among imaging parameters.Results: Global cardiac strain (median −19.1%; IQR −20.5%, −16.5%) in DM1 patients was lower (p = 0.011) than that in controls (median−21.7%; IQR−22.7%,-21.3%). Global extracellular volume in DM1 patients (median 32.3%; IQR 29.3%,36.8%) was significantly (p = 0.008) higher than that reported in literature in healthy subjects (median 25.6%; IQR 19.9%,31.9%). Global cardiac strain showed a strong, positive correlation with septal strain (ρ = 0.767, p = 0.016) and with both global (ρ = 0.733 p = 0.025) and septal extracellular volume (ρ = 0.767, p = 0.016). Discussion:The increase in cardiac extracellular volume and decrease in strain are signs of early cardiac pathology in DM1. Physicians dealing with DM1 may take into consideration cardiac magnetic resonance as a screening tool to identify early cardiac involvement in this condition.

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Left ventricular global myocardial strain assessment comparing the reproducibility of four commercially available CMR-feature tracking algorithms

Cited by 72 publications

References 26 publications

Feature-tracking-based strain analysis – a comparison of tracking algorithms

Feature-tracking-based strain analysis – a comparison of tracking algorithms

Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy: impact of cine bSSFP strain analysis

Rare Disease: Cardiac Risk Assessment With MRI in Patients With Myotonic Dystrophy Type 1

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