Abstract
Background: Although left ventricular cardiac geometric indices such as size and sphericity characterize adverse remodeling and have prognostic value in symptomatic patients, little is known of shape distributions in subclinical populations. We sought to quantify shape variation across a large number of asymptomatic volunteers, and examine differences among sub-cohorts. Methods. An atlas was constructed comprising 1,991 cardiovascular magnetic resonance (CMR) cases contributed from the Multi-Ethnic Study of Atherosclerosis baseline examination. A mathematical model describing regional wall motion and shape was used to establish a coordinate map registered to the cardiac anatomy. The model was automatically customized to left ventricular contours and anatomical landmarks, corrected for breath-hold mis-registration between image slices. Mathematical techniques were used to characterize global shape distributions, after removal of translations, rotations, and scale due to height. Differences were quantified among ethnicity, sex, smoking, hypertension and diabetes sub-cohorts. Results: The atlas construction process yielded accurate representations of global shape (errors between manual and automatic surface points in 244 validation cases were less than the image pixel size). After correction for height, the dominant shape component was associated with heart size, explaining 32% of the total shape variance at end-diastole and 29% at end-systole. After size, the second dominant shape component was sphericity at end-diastole (13%), and concentricity at end-systole (10%). The resulting shape components distinguished differences due to ethnicity and risk factors with greater statistical power than traditional mass and volume indices. Conclusions: We have quantified the dominant components of global shape variation in the adult asymptomatic population. The data and results are available at cardiacatlas.org. Shape distributions were principally explained by size, sphericity and concentricity, which are known correlates of adverse outcomes. Atlas-based global shape analysis provides a powerful method for quantifying left ventricular shape differences in asymptomatic populations. Trial registration. ClinicalTrials.gov.
| Original language | English (US) |
|---|---|
| Article number | 56 |
| Journal | Journal of Cardiovascular Magnetic Resonance |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jul 30 2014 |
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Keywords
- Atlas
- Cardiovascular magnetic resonance
- Principal component analysis
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
- Radiology Nuclear Medicine and imaging
- Radiological and Ultrasound Technology
- Family Practice
- Medicine(all)
Cite this
Left ventricular shape variation in asymptomatic populations : The multi-ethnic study of atherosclerosis. / Medrano-Gracia, Pau; Cowan, Brett R.; Ambale Venkatesh, Bharath; Bluemke, David A.; Eng, John; Finn, John Paul; Fonseca, Carissa G.; Lima, Joao; Suinesiaputra, Avan; Young, Alistair A.
In: Journal of Cardiovascular Magnetic Resonance, Vol. 16, No. 1, 56, 30.07.2014.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Left ventricular shape variation in asymptomatic populations
T2 - The multi-ethnic study of atherosclerosis
AU - Medrano-Gracia, Pau
AU - Cowan, Brett R.
AU - Ambale Venkatesh, Bharath
AU - Bluemke, David A.
AU - Eng, John
AU - Finn, John Paul
AU - Fonseca, Carissa G.
AU - Lima, Joao
AU - Suinesiaputra, Avan
AU - Young, Alistair A.
PY - 2014/7/30
Y1 - 2014/7/30
N2 - Background: Although left ventricular cardiac geometric indices such as size and sphericity characterize adverse remodeling and have prognostic value in symptomatic patients, little is known of shape distributions in subclinical populations. We sought to quantify shape variation across a large number of asymptomatic volunteers, and examine differences among sub-cohorts. Methods. An atlas was constructed comprising 1,991 cardiovascular magnetic resonance (CMR) cases contributed from the Multi-Ethnic Study of Atherosclerosis baseline examination. A mathematical model describing regional wall motion and shape was used to establish a coordinate map registered to the cardiac anatomy. The model was automatically customized to left ventricular contours and anatomical landmarks, corrected for breath-hold mis-registration between image slices. Mathematical techniques were used to characterize global shape distributions, after removal of translations, rotations, and scale due to height. Differences were quantified among ethnicity, sex, smoking, hypertension and diabetes sub-cohorts. Results: The atlas construction process yielded accurate representations of global shape (errors between manual and automatic surface points in 244 validation cases were less than the image pixel size). After correction for height, the dominant shape component was associated with heart size, explaining 32% of the total shape variance at end-diastole and 29% at end-systole. After size, the second dominant shape component was sphericity at end-diastole (13%), and concentricity at end-systole (10%). The resulting shape components distinguished differences due to ethnicity and risk factors with greater statistical power than traditional mass and volume indices. Conclusions: We have quantified the dominant components of global shape variation in the adult asymptomatic population. The data and results are available at cardiacatlas.org. Shape distributions were principally explained by size, sphericity and concentricity, which are known correlates of adverse outcomes. Atlas-based global shape analysis provides a powerful method for quantifying left ventricular shape differences in asymptomatic populations. Trial registration. ClinicalTrials.gov.
AB - Background: Although left ventricular cardiac geometric indices such as size and sphericity characterize adverse remodeling and have prognostic value in symptomatic patients, little is known of shape distributions in subclinical populations. We sought to quantify shape variation across a large number of asymptomatic volunteers, and examine differences among sub-cohorts. Methods. An atlas was constructed comprising 1,991 cardiovascular magnetic resonance (CMR) cases contributed from the Multi-Ethnic Study of Atherosclerosis baseline examination. A mathematical model describing regional wall motion and shape was used to establish a coordinate map registered to the cardiac anatomy. The model was automatically customized to left ventricular contours and anatomical landmarks, corrected for breath-hold mis-registration between image slices. Mathematical techniques were used to characterize global shape distributions, after removal of translations, rotations, and scale due to height. Differences were quantified among ethnicity, sex, smoking, hypertension and diabetes sub-cohorts. Results: The atlas construction process yielded accurate representations of global shape (errors between manual and automatic surface points in 244 validation cases were less than the image pixel size). After correction for height, the dominant shape component was associated with heart size, explaining 32% of the total shape variance at end-diastole and 29% at end-systole. After size, the second dominant shape component was sphericity at end-diastole (13%), and concentricity at end-systole (10%). The resulting shape components distinguished differences due to ethnicity and risk factors with greater statistical power than traditional mass and volume indices. Conclusions: We have quantified the dominant components of global shape variation in the adult asymptomatic population. The data and results are available at cardiacatlas.org. Shape distributions were principally explained by size, sphericity and concentricity, which are known correlates of adverse outcomes. Atlas-based global shape analysis provides a powerful method for quantifying left ventricular shape differences in asymptomatic populations. Trial registration. ClinicalTrials.gov.
KW - Atlas
KW - Cardiovascular magnetic resonance
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=84906561462&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906561462&partnerID=8YFLogxK
U2 - 10.1186/s12968-014-0056-2
DO - 10.1186/s12968-014-0056-2
M3 - Article
C2 - 25160814
AN - SCOPUS:84906561462
VL - 16
JO - Journal of Cardiovascular Magnetic Resonance
JF - Journal of Cardiovascular Magnetic Resonance
SN - 1097-6647
IS - 1
M1 - 56
ER -