| Cawley et al., 2013 (129) |
26 with primary MR in sinus rhythm |
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| Maréchaux et al., 2014 (130) |
60 with primary MR due to prolapse (all grades) in sinus rhythm |
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High feasibility for determining 3D-TTE RegFrac (90% of patients)
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Highly specific cut-off value of 3D-TTE RegFrac ≥ 40% to detect significant MR (3+ or 4+)
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Large overlap zone for 3D-TTE RegFrac between 3 + and 4+ MR grades
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Better discriminative value of 3D-TTE compared with 2D-TTE RegFrac between 1 and 2+ vs. 3–4+ MR grades
|
| Heo et al., 2017 (131) |
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| Levy et al., 2018 (132) |
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High feasibility (86% of patients) for determining 3D-TTE RegVol using automated fast 3D-TTE software (HeartModel)
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Excellent inter- and intraobserver reproducibility for RegVol between 3D-TTE and CMR volumetric methods (56 ± 28 ml vs. 57 ± 23 ml) but significantly higher using 2D-PISA (69 ± 30 ml)
|
| Lee et al., 2018 (133) |
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Discordant MR severity grading found in 41% of patients using RegVol (>60 ml by 2D-PISA but < 60 ml by 2D-TTE volumetric method)
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Moderate correlation (r = 0.53) with poor agreement (−25; 162 ml) between RegVol assessed by 2D-TTE volumetric versus 2D-PISA methods.
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Small LV EDV or narrow PISA angle associated with over-estimation of RegVol by PISA versus 2D-TTE volumetric methods.
|
| Altes et al., 2022 (134) |
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Weak correlation (r = 0.30) with poor agreement (–37; 63 ml) between RegVol assessed by 2D-TTE volumetric versus 2D-PISA methods.
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Moderate correlation (r = 0.55) between RegVol assessed by 2D-TTE versus CMR volumetric methods
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Fair correlation between LVEDV and RegVol (r = 0.68) but not RegFrac (r = 0.17) assessed by 2D-TTE volumetric methods
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