Title | Free breathing three-dimensional cardiac quantitative susceptibility mapping for differential cardiac chamber blood oxygenation - initial validation in patients with cardiovascular disease inclusive of direct comparison to invasive catheterization. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Wen Y, Weinsaft JW, Nguyen TD, Liu Z, Horn EM, Singh H, Kochav J, Eskreis-Winkler S, Deh K, Kim J, Prince MR, Wang Y, Spincemaille P |
Journal | J Cardiovasc Magn Reson |
Volume | 21 |
Issue | 1 |
Pagination | 70 |
Date Published | 2019 11 18 |
ISSN | 1532-429X |
Keywords | Aged, Algorithms, Biomarkers, Cardiac Catheterization, Case-Control Studies, Female, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Cine, Male, Middle Aged, Oxygen, Predictive Value of Tests, Reproducibility of Results, Systole, Ventricular Dysfunction, Left, Ventricular Function, Left, Ventricular Function, Right |
Abstract | BACKGROUND: Differential blood oxygenation between left (LV) and right ventricles (RV; ΔSaO) is a key index of cardiac performance; LV dysfunction yields increased RV blood pool deoxygenation. Deoxyhemoglobin increases blood magnetic susceptibility, which can be measured using an emerging cardiovascular magnetic resonance (CMR) technique, Quantitative Susceptibility Mapping (QSM) - a concept previously demonstrated in healthy subjects using a breath-hold 2D imaging approach (2DQSM). This study tested utility of a novel 3D free-breathing QSM approach (3DQSM) in normative controls, and validated 3DQSM for non-invasive ΔSaO quantification in patients undergoing invasive cardiac catheterization (cath). METHODS: Initial control (n = 10) testing compared 2DQSM (ECG-triggered 2D gradient echo acquired at end-expiration) and 3DQSM (ECG-triggered navigator gated gradient echo acquired in free breathing using a phase-ordered automatic window selection algorithm to partition data based on diaphragm position). Clinical testing was subsequently performed in patients being considered for cath, including 3DQSM comparison to cine-CMR quantified LV function (n = 39), and invasive-cath quantified ΔSaO (n = 15). QSM was acquired using 3 T scanners; analysis was blinded to comparator tests (cine-CMR, cath). RESULTS: 3DQSM generated interpretable QSM in all controls; 2DQSM was successful in 6/10. Among controls in whom both pulse sequences were successful, RV/LV susceptibility difference (and ΔSaO) were not significantly different between 3DQSM and 2DQSM (252 ± 39 ppb [17.5 ± 3.1%] vs. 211 ± 29 ppb [14.7 ± 2.0%]; p = 0.39). Acquisition times were 30% lower with 3DQSM (4.7 ± 0.9 vs. 6.7 ± 0.5 min, p = 0.002), paralleling a trend towards lower LV mis-registration on 3DQSM (p = 0.14). Among cardiac patients (63 ± 10y, 56% CAD) 3DQSM was successful in 87% (34/39) and yielded higher ΔSaO (24.9 ± 6.1%) than in controls (p < 0.001). QSM-calculated ΔSaO was higher among patients with LV dysfunction as measured on cine-CMR based on left ventricular ejection fraction (29.4 ± 5.9% vs. 20.9 ± 5.7%, p < 0.001) or stroke volume (27.9 ± 7.5% vs. 22.4 ± 5.5%, p = 0.013). Cath measurements (n = 15) obtained within a mean interval of 4 ± 3 days from CMR demonstrated 3DQSM to yield high correlation (r = 0.87, p < 0.001), small bias (- 0.1%), and good limits of agreement (±8.6%) with invasively measured ΔSaO. CONCLUSION: 3DQSM provides a novel means of assessing cardiac performance. Differential susceptibility between the LV and RV is increased in patients with cine-CMR evidence of LV systolic dysfunction; QSM-quantified ΔSaO yields high correlation and good agreement with the reference of invasively-quantified ΔSaO. |
DOI | 10.1186/s12968-019-0579-7 |
Alternate Journal | J Cardiovasc Magn Reson |
PubMed ID | 31735165 |
PubMed Central ID | PMC6859622 |
Grant List | R01 HL128278 / HL / NHLBI NIH HHS / United States K23 HL140092 / HL / NHLBI NIH HHS / United States R01HL128278 / HL / NHLBI NIH HHS / United States R01NS072370 / NS / NINDS NIH HHS / United States R01NS090464 / NS / NINDS NIH HHS / United States R01NS095562 / NS / NINDS NIH HHS / United States R01CA181566 / CA / NCI NIH HHS / United States |
Related Institute:
MRI Research Institute (MRIRI)