Validation and development of a new automatic algorithm for time resolved segmentation of the left ventricle in magnetic resonance imaging

Tufvesson, Jane; Hedström, Erik; Steding‐Ehrenborg, Katarina; Carlsson, Marcus; Arheden, Håkan; Heiberg, Einar

doi:10.1186/1532-429x-17-s1-p68

Cited by 28 publications

(23 citation statements)

References 22 publications

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“…Clinical CMR reports were retrospectively reviewed for all included patients for abstraction of LVEF and LV dimensions. In the derivation cohort, LGE was manually assessed using segment (version R5039; Medviso, Lund, Sweden) …”

Section: Methodsmentioning

confidence: 99%

Low lead one ratio predicts clinical outcomes in left bundle branch block

Loring

Atwater

Xia

et al. 2019

Cardiovasc electrophysiol

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Introduction We evaluated the association between a novel electrocardiographic (ECG) marker of late, rightward electrocardiographic forces (termed the lead one ratio [LOR]), and left ventricular ejection fraction (LVEF), myocardial scar, and clinical outcomes in patients with left bundle branch block (LBBB). Methods and Results LOR was calculated in patients with LBBB from a derivation cohort (n = 240) and receiver operator characteristic curves identified optimal threshold values for predicting myocardial scar and LVEF less than 35%. An independent validation cohort of patients with LBBB (n = 196) was used to test the association of LOR with the myocardial scar, LVEF, and the likelihood of death, heart transplant or left ventricular assist device (LVAD) implantation. The optimal thresholds in the derivation cohort were LOR less than 13.7 for identification of scar (sensitivity 55%, specificity 80%), and LOR less than 12.1 for LVEF less than 35% (sensitivity 49%, specificity 80%). In the validation cohort, LOR less than 13.7 was not associated with scar size or presence (P > 0.05 for both). LOR less than 12.1 was associated with lower LVEF (30 [20‐40] versus 40 [25‐55]%; P = 0.002) and predicted LVEF less than 35% in univariable (odds ratio [OR], 2.2 [1.2‐4.1]; P = 0.01) and multivariable analysis (OR, 2.2 [1.2‐4.3]; P = 0.02). LOR less than 12.1 was associated with scar presence when patients with nonischemic cardiomyopathy were excluded (OR = 7.2 [1.5‐33.2]; P = 0.002). LOR less than 12.1 had an adjusted hazard ratio of 1.53 ([1.05‐2.21]; P = 0.03) for death, transplant or LVAD implantation. Conclusions In conclusion, ECG LOR less than 12.1 predicts reduced‐LV systolic function and poorer prognosis in patients with LBBB.

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Section: Methodsmentioning

confidence: 99%

Low lead one ratio predicts clinical outcomes in left bundle branch block

Loring

Atwater

Xia

et al. 2019

Cardiovasc electrophysiol

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“…Table 1 shows the MRI acquisition parameters. Image Analysis The LV cavity was segmented at each time frame on short-axis bSSFP images (including outflow tract, excluding papillary muscles) using the software Segment (Medviso, http://segment.heiberg.se; v2.0 R5399) [14]. LV end diastolic volume (EDV), end systolic volume (ESV), stroke volume (SV), and ejection fraction, were calculated from the endocardial borders.…”

Section: Methodsmentioning

confidence: 99%

Reduced flow in the left ventricular apex after anterior acute myocardial infarction: a case control study using 4D flow MRI

Corrado

Macdonald

François

et al. 2019

Preprint

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Purpose Acute myocardial infarction (AMI) alters left ventricular (LV) hemodynamics, resulting in decreased global LV ejection fraction and global LV kinetic energy. We hypothesize that anterior AMI effects localized alterations in LV flow and developed a regional approach to analyze these local changes with 4D flow MRI. Materials and Methods 4D flow cardiac magnetic resonance (CMR) data was compared between 12 anterior AMI patients (11 males; 66±12yo; prospectively acquired in 2016-2017) and 19 healthy volunteers (10 males; 40±16yo; retrospective from 2010-2011 study). The LV cavity was contoured on short axis cine steady-state free procession CMR and partitioned into three regions: base, mid-ventricle, and apex. 4D flow data was registered to the short axis segmentation. Peak systolic and diastolic through-plane flows were compared region-by-region between groups using linear models of flow with age, sex, and heart rate as covariates. Results Peak systolic flow was reduced in anterior AMI subjects compared to controls in the LV mid-ventricle (fitted reduction = 3.9 L/min; P=0.01) and apex (fitted reduction = 1.4 L/min; P=0.02). Peak diastolic flow was also lower in anterior AMI subjects compared to controls in the apex (fitted reduction = 2.4 L/min; P=0.01). Conclusion A regional method to analyze 4D LV flow data was applied in anterior AMI patients and controls. Anterior AMI patients had reduced flow, particularly in the LV apex, relative to controls.

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“…Briefly, the LV model reconstruction would start with a multislice intensity‐based image registration technique to correct misalignment between SA and LA images in the 4D cine volume. The patient‐specific 3D LV geometrical models (Figure A) across all cardiac phases were subsequently generated by fitting a cubic B‐spline on the SA and LA LV contours, which were predelineated semi‐automatically with significant manual interaction by using Segment software version 2.1 R5891 (https://segment.heiberg.se). Further details of the algorithm are given in Liew et al We have incorporated the use of parallel processing to this algorithm to perform registration and model reconstruction in less than 7 min.…”

Section: Methodsmentioning

confidence: 99%