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Three-dimensional Feature Tracking Cardiac Magnetic Resonance in Hypertrophic Cardiomyopathy: Comparison with Two-Dimensional Algorithm Cover

Three-dimensional Feature Tracking Cardiac Magnetic Resonance in Hypertrophic Cardiomyopathy: Comparison with Two-Dimensional Algorithm

Open Access
|Dec 2024

Figures & Tables

Figure 1

3D feature tracking analysis in HCM.
Example of 3D feature tracking measurements in a patient with HCM and fibrosis: The upper panel (A) shows three short-axis slices highlighting regions of fibrosis. The middle panel (B) presents the corresponding bullseye maps for each type of strain. Panel C demonstrates an example of myocardial tracking in the short-axis (left), global longitudinal strain curve (upper right), and individual circumferential strain values by segment (lower right).
3D feature tracking analysis in HCM. Example of 3D feature tracking measurements in a patient with HCM and fibrosis: The upper panel (A) shows three short-axis slices highlighting regions of fibrosis. The middle panel (B) presents the corresponding bullseye maps for each type of strain. Panel C demonstrates an example of myocardial tracking in the short-axis (left), global longitudinal strain curve (upper right), and individual circumferential strain values by segment (lower right).

Figure 2

Concordance between 2D and 3D strain measurements. GCS, global circumferential strain; GLS, global longitudinal strain; GRS, global radial strain; LAX, long axis; SAX, short axis.
Concordance between 2D and 3D strain measurements. GCS, global circumferential strain; GLS, global longitudinal strain; GRS, global radial strain; LAX, long axis; SAX, short axis.

CMR characteristics of HCM patients

VariableHCM patients (n=60)
Age (years), mean ± SD58.2 ± 15.8
Male, n (%)40 (66.7)
BMI (g/m2), mean ± SD29 ± 6.4
Distribution of LVH, n (%)
Septal34 (56.7)
Apical15 (25)
Anterior4 (6.7)
Mid-ventricular2 (3.3)
Lateral1 (1.7)
Multiple segments4 (6.7)
MWT, (mm), mean ± SD16.9 ± 4.4
Number segments LVH, mean ± SD4.3 ± 2.4
Spiral pattern LVH, n (%)16 (26.7)
Papillary muscles LVH, n (%)27 (45)
LV intracavitary obstruction, n (%)11 (18.3)
Aneurysms, n (%)6 (10.2)
Crypts, n (%)13 (21.7)
Presence of LGE, n (%)43 (72.9%)
Number segments LGE, median [IQR]2 [0-4]
Presence of LGE in segments with LVH, n (%)38 (64.4)
LVEDV (mL), mean ± SD159.9 ± 44
LVEDV index (mL/m2), mean ± SD79.6 ± 19.7
LVESV (mL), mean ± SD58.3 ± 25
LVESV index (mL/m2), mean ± SD29.8 ± 13.3
LVEF (%), mean ± SD64.4 ± 9.8
SV (mL), mean ± SD101.6 ± 28.7
SV index (mL/m2), mean ± SD51 ± 11.6
LV mass (g), median [IQR]147 [109.5 – 187]
LV mass index (g/m2), median [IQR]71.9 [57.2 – 90.4]
RVEDV (mL), mean ± SD139.1 ± 41.8
RVEDV index (mL/m2), mean ± SD69.1± 16.6
RVESV (mL), mean ± SD56.9 ± 22.4
RVESV index (mL/m2), mean ± SD28 ± 9.3
RVEF, % (mean ± SD)58.8 ± 12.8
LA area (cm2), median [IQR]28.5 [25 – 31.5]
GLS 3D, % (mean ± SD)-9.9 ± 3.5
GLS 2D, % (mean ± SD)-12.6 ± 2.6
GCS 3D, % (mean ± SD)-16.3 ± 6.6
GCS 2D, % (mean ± SD)-16.6 ± 2.4
GRS 3D, % (mean ± SD)38.7 ± 13.9
GRS 2D, % (mean ± SD)27.9 ± 6

Comparison between 3D FT parameters between HCM and healthy volunteers_

3D FT parameterHCMHealthy volunteers11p value
GLS 3D-9.9 ± 3.5-14.6 ± 2.7<0.0001
GCS 3D-16.3 ± 6.6-17.6 ± 2.60.08
GRS 3D38.7 ± 13.947.4 ± 12.90.0001

Correlations between 3D strain and other CMR parameters

GCS 3DGLS 3DGRS 3D
Age0.150.12-0.08
MWT0.44-0.02-0.02
LV mass index0.350.20-0.21
Number of segments with LVH-0.020.07-0.11
Number of segments with LGE0.110.03-0.05
LVEDV index0.090.12-0.14
LVESV index0.490.02-0.20
SV index0.020.090
RVEDV index-0.050.230.13
RVEF-0.020.100
LVEF-0.18-0.030.23

CMR characteristics of HCM phenotypes

VariableSeptal HCM (n=34)Apical HCM (n=15)P value
Age (years), mean ± SD59.7 ± 14.860.4 ± 14.80.87
BMI (g/m2), mean ± SD28.6 ± 5.928.6 ± 6.10.99
MWT, (mm), mean ± SD16.8 ± 4.815.2 ± 1.70.23
Number segments LVH, mean ± SD3.6 ± 2.25.3 ± 0.70.006
Spiral pattern LVH, n (%)12 (35.3)1 (6.7)0.04
Papillary muscles LVH, n (%)13 (28.2)9 (60)0.16
LV intracavitary obstruction, n (%)6 (17.6)2 (13.3)0.73
Aneurysms, n (%)2 (5.9)3 (20)0.12
Crypts, n (%)10 (29,4)0 (0)0.06
Presence of LGE, n (%)20 (58.8)9 (60)0.97
Number segments LGE, median [IQR]1 [0-4]1 [0-2]0.95
Presence of LGE in segments with LVH, n (%)19 (55.9)10 (66.7)0.55
LVEDV (mL), mean ± SD164 ± 46.1152.1 ± 45.70.41
LVEDV index (mL/m2), mean ± SD81.5 ± 22.776.1 ± 15.30.41
LVESV (mL), mean ± SD59.9 ± 25.558.9 ± 28.60.9
LVESV index (mL/m2), mean ± SD31.2 ± 14.928.9 ± 11.20.6
LVEF (%), mean ± SD64.7 ± 8.762.3 ± 11.80.42
SV (mL), mean ± SD104.1 ± 26.493.2 ± 30.50.21
SV index (mL/m2), mean ± SD51.9 ± 11.647.2 ± 12.70.21
LV mass (g), median [IQR]155.5 [111 - 188]146 [122.5 - 163]0.56
LV mass index (g/m2), median [IQR]76.1 [61.8 – 90.2]73.2 [57.2 – 89.5]0.78
RVEDV (mL), mean ± SD143.1 ± 39.5139.1 ± 43.90.75
RVEDV index (mL/m2), mean ± SD71.1± 16.369.4± 15.10.73
RVESV (mL), mean ± SD62.7 ± 2154.4 ± 25.70.24
RVESV index (mL/m2), mean ± SD30.9 ± 8.526.6 ± 100.13
RVEF, % (mean ± SD)55.3 ± 13.162.6 ± 8.90.054
LA area (cm2), median [IQR]28.5 [25-32]30 [26.3-30.1]0.72
GLS 3D, % (mean ± SD)-10.5 ± 2.9-7.4 ± 4.10.004
GLS 2D, % (mean ± SD)-12.9 ± 2-11.7 ± 3.20.14
GCS 3D, % (mean ± SD)-15.1 ± 8.3-18.4 ± 2.70.14
GCS 2D, % (mean ± SD)-16.7 ± 2.2-16.4 ± 2.70.65
GRS 3D, % (mean ± SD)39.8 ± 12.338.8 ± 15.90.8
GRS 2D, % (mean ± SD)27.8 ± 5.728 ± 6.90.94
DOI: https://doi.org/10.2478/rjc-2024-0024 | Journal eISSN: 2734-6382 | Journal ISSN: 1220-658X
Language: English
Page range: 186 - 194
Published on: Dec 10, 2024
Published by: Romanian Society of Cardiology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Raluca Tomoaia, May Lwin, Chin Yit Soo, Thomas Anderton, Christel Kamani, Wasim Javed, Ali Wahab, Sven Plein, published by Romanian Society of Cardiology
This work is licensed under the Creative Commons Attribution 4.0 License.