scholarly journals Pulmonary blood volume estimation in mice by magnetic particle imaging and magnetic resonance imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Gerhard Kaul ◽  
Tobias Mummert ◽  
Matthias Graeser ◽  
Johannes Salamon ◽  
Caroline Jung ◽  
...  
Keyword(s):  
Blood Volume ◽  
Transit Time ◽  
Magnetic Particle ◽  
Interval Length ◽  
Resonance Imaging ◽  
Pulmonary Blood Volume ◽  
Magnetic Particle Imaging ◽  
The Right ◽  
Particle Imaging ◽  
Pulmonary Transit Time

AbstractThis methodical work describes the measurement and calculation of pulmonary blood volume in mice based on two imaging techniques namely by using magnetic particle imaging (MPI) and cardiac magnetic resonance imaging (MRI). Besides its feasibility aspects that may influence quantitative analysis are studied. Eight FVB mice underwent cardiac MRI to determine stroke volumes and anatomic MRI as morphological reference for functional MPI data. Arrival time analyses of boli of 1 µl of 1 M superparamagnetic tracer were performed by MPI. Pulmonary transit time of the bolus was determined by measurements in the right and left ventricles. Pulmonary blood volume was calculated out of stroke volume, pulmonary transit time and RR-interval length including a maximal error analysis. Cardiac stroke volume was 31.7 µl ± 2.3 µl with an ejection fraction of 71% ± 6%. A sharp contrast bolus profile was observed by MPI allowing subdividing the first pass into three distinct phases: tracer arrival in the right ventricle, pulmonary vasculature, and left ventricle. The bolus full width at half maximum was 578 ms ± 144 ms in the right ventricle and 1042 ms ± 150 ms in the left ventricle. Analysis of pulmonary transit time revealed 745 ms ± 81 ms. Mean RR-interval length was 133 ms ± 12 ms. Pulmonary blood volume resulted in 177 µl ± 27 µl with a mean maximal error limit of 27 µl. Non-invasive assessment of the pulmonary blood volume in mice was feasible. This technique can be of specific value for evaluation of pulmonary hemodynamics in mouse models of cardiac dysfunction or pulmonary disease. Pulmonary blood volume can complement cardiac functional parameters as a further hemodynamic parameter.

P4129cMR-Pulmonary transit time and pulmonary blood volume have an additional prognostic value over cMR-right ventricular ejection fraction in predicting mortality in HF-rEF patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Houard ◽  
H Langet ◽  
S Militaru ◽  
M F Rousseau ◽  
A C Pouleur ◽  
...  
Keyword(s):  
Blood Volume ◽  
Transit Time ◽  
Primary Endpoint ◽  
Prognostic Value ◽  
Beta Blockers ◽  
Class Iii ◽  
Baseline Model ◽  
Pulmonary Blood Volume ◽  
Pulmonary Transit Time ◽  
Overall Mortality

Abstract Background Assessment of congestion and cardiac function has been shown to have both therapeutic and prognostic implication for the management of patient with CHF. Pulmonary transit time (PTT) assessed by cMR is a novel parameter, which reflects not only hemodynamic congestion but also LV and RV function. Purpose We sought to explore the prognostic value of the pulmonary transit time assessed in seconds (PTT) and in beats (PTB) and the pulmonary blood volume indexed (PBVi) above conventional well-known risk factors including cMR-RVEF and estimated pulmonary artery pressure (eSPAP) in predicting outcomes. PBVi is defined by the product of PTB and the stroke volume indexed to body surface area. Methods 401 patients in sinus rhythm with a LVEF <35% (age 61±13 years; 25% female) underwent a cMR and an echocardiography. Patients were followed for a primary endpoint of overall mortality. Results Average cMR-LVEF was 23±7%, cMR-RVEF was 43±15%, average estimated systolic pulmonary pressure (eSPAP) was 33±12mmH, average PTT was 11±6s, PTB 8.9±5.6 bpm and average PBVi 305.5±254.9ml/m2. After a median follow-up of 6 years, 182 reached the primary endpoint. In univariate cox regression, age, ischemic cardiomyopathy, hypertension, diabetes, NYHA class III-IV, eSPAP >40mmHg, E/A ratio, e/e'ratio, cMR-RVEF, LV scar, PTT, PTB, PBVi, GFR, beta blockers and diuretics were associated with overall mortality. For the multivariate analysis, a baseline model was created where age, ischemic etiology, NYHA functional class III-IV, eSPAP >40 mmHg, beta-blockers and cMR-RVEF were found to be significantly and independently associated with the primary endpoint. PTT (X2 to improve = 5.3, HR: 1.03; 95% CI: [1.01; 1.06]; P=0.015), PTB (X2 to improve = 11.8, HR: 1.06; 95% CI: [1.03; 1.09]; P<0.001) and PBVi (X2 to improve = 7.7, HR: 1.08; 95% CI: [1.03; 1.14]; P=0.002) showed a significantly additional prognostic value over the baseline model (p<0.001). Conclusion Pulmonary transit time and pulmonary blood volume provide higher prognostic information over well-known risk factors including cMR-RVEF and eSPAP with high power to stratify prognosis in HF-rEF and might be promising tools to identify patients at higher risk among HF patients. Acknowledgement/Funding Fond National de recherche scientifique (FNRS)

Magnetic Particle Imaging of Macrophages Associated with Cancer: Filling the Voids Left by Iron-Based Magnetic Resonance Imaging

2020 ◽  
Vol 22 (4) ◽  
pp. 958-968 ◽  
Author(s):  
Ashley V. Makela ◽  
Jeffrey M. Gaudet ◽  
Melissa A. Schott ◽  
Olivia C. Sehl ◽  
Christopher H. Contag ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Magnetic Particle ◽  
Resonance Imaging ◽  
Magnetic Particle Imaging ◽  
Iron Based ◽  
Particle Imaging

scholarly journals Iron Oxide Nanoparticle-Micelles (ION-Micelles) for Sensitive (Molecular) Magnetic Particle Imaging and Magnetic Resonance Imaging

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e57335 ◽  
Author(s):  
Lucas W. E. Starmans ◽  
Dirk Burdinski ◽  
Nicole P. M. Haex ◽  
Rik P. M. Moonen ◽  
Gustav J. Strijkers ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Iron Oxide ◽  
Magnetic Resonance ◽  
Magnetic Particle ◽  
Iron Oxide Nanoparticle ◽  
Resonance Imaging ◽  
Magnetic Particle Imaging ◽  
Oxide Nanoparticle ◽  
Particle Imaging

scholarly journals Visualizing tumour self-homing with magnetic particle imaging

Nanoscale ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 6016-6023
Author(s):  
Katie M. Parkins ◽  
Kierstin P. Melo ◽  
Yuanxin Chen ◽  
John A. Ronald ◽  
Paula J. Foster
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Magnetic Particle ◽  
Resonance Imaging ◽  
Fat Pad ◽  
Magnetic Particle Imaging ◽  
Mammary Fat Pad ◽  
Particle Imaging

Iron labeled CTCs home to previously established mammary fat pad tumours and can be visualized using magnetic particle imaging and magnetic resonance imaging.

scholarly journals Pulmonary blood volume measured by cardiovascular magnetic resonance: influence of pulmonary transit time methods and left atrial volume

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Anders Nelsson ◽  
Mikael Kanski ◽  
Henrik Engblom ◽  
Martin Ugander ◽  
Marcus Carlsson ◽  
...  
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Blood Volume ◽  
Transit Time ◽  
Interobserver Variability ◽  
Left Atrial Volume ◽  
Left Ventricular ◽  
Pulmonary Blood Volume ◽  
Increased Risk ◽  
Pulmonary Transit Time

Abstract Background Increased pulmonary blood volume (PBV) is a measure of congestion and is associated with an increased risk of cardiovascular events. PBV can be quantified using cardiovascular magnetic resonance (CMR) imaging as the product of cardiac output and pulmonary transit time (PTT), the latter measured from the contrast time-intensity curves in the right and left side of the heart from first-pass perfusion (FPP). Several methods of estimating PTT exist, including pulmonary transit beats (PTB), peak-to-peak, and center of gravity (CoG). The aim of this study was to determine the accuracy and precision for these methods of quantifying the PBV, taking the left atrium volume (LAV) into consideration. Methods Fifty-eight participants (64 ± 11 years, 24 women) underwent 1.5 T CMR. PTT was quantified from (1) a basal left ventricular short-axis image (FPP), and (2) the reference method with a separate contrast administration using an image intersecting the pulmonary artery (PA) and the LA (CoG(PA-LA)). Results Compared to the reference, PBV for (a) PTB(FPP) was 14 ± 17% larger, (b) peak-peak(FPP) was 17 ± 16% larger, and (c) CoG(FPP) was 18 ± 10% larger. Subtraction of the LAV (available for n = 50) decreased overall differences to − 1 ± 19%, 2 ± 18%, and 3 ± 12% for PTB(FPP), peak-peak(FPP), and CoG(FPP), respectively. Lowest interobserver variability was seen for CoG(FPP) (− 2 ± 7%). Conclusions CoG(PA-LA) and FPP methods measured the same PBV only when adjusting for the LAV, since FPP inherently quantifies a volume consisting of PBV + LAV. CoG(FPP) had the best precision and lowest interobserver variability among the FPP methods of measuring PBV. Graphical abstract

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