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75 protocols using cmr42

1

Hyperpolarized Cardiac Metabolism Imaging

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All cardiac 13C spectra were analyzed using the AMARES algorithm in the jMRUI software package.30 Figure 1D shows example spectra summed over 30 seconds of acquisition in normoxic animals, acutely hypoxic animals and animals housed in hypoxia for 1 and 3 weeks, showing cardiometabolic conversion of the injected hyperpolarized pyruvate into the downstream products, lactate, alanine and bicarbonate. Spectra were DC offset‐corrected based on the last half of acquired points. The peak areas of [1‐13C] pyruvate, [1‐13C] lactate, [1‐13C] alanine and [13C] bicarbonate at each timepoint were quantified and used as input data for a kinetic model based on that developed by Zierhut et al31 and Atherton et al.32 PDH flux was quantified as the rate of 13C label transfer from pyruvate to bicarbonate. The rate of 13C label transfer from pyruvate to lactate and alanine was used as a marker of lactate dehydrogenase activity and alanine aminotransferase activity, respectively. CINE images were analyzed using cmr42 software (Circle Cardiovascular Imaging, Calgary, Canada) by an experienced analyst blinded to experimental group.
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2

MRI-Compatible Pacemaker Evaluation

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After BSPM, MRI markers were applied to replace all torso electrodes. These markers were used to locate the electrode positions on the MRI images, thereby minimizing the systematic error in the inverse procedure. Before entering the MRI room, pacing thresholds, P- and R-wave amplitude, and lead impedance were determined and the pacemaker system was programmed into MRI SureScan® mode [8 ].
In order to control lung volume, breath holding was practiced with the patient prior to the examination. A stack of ECG-triggered, T2-weighted, bright blood images (slice thickness, 6 mm) was acquired to record the anatomy of the thorax and register the position of the RV lead tip and torso electrodes. Subsequently, cardiac function was assessed using steady state free precession (SSFP) short-axis, three- and four-chamber cines (slice thickness, 6 mm, temporal resolution <50 ms). All images were obtained during breath-hold on a Siemens Aera 1.5 Tesla MRI scanner (Siemens Healthcare, Erlangen, Germany). Cardiac function was analysed using CMR42® software (Circle Cardiovascular Imaging, Calgary, Alberta, Canada).
After the examination, pacing thresholds, P- and R-wave amplitude and lead impedance were determined and compared to the initial values. Finally, original programming of the pacemaker was restored.
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3

Cardiac MRI Biomarkers in Population Study

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CMR of the volunteers was performed using either a Magnetom Aera 1.5T (Siemens) or Ingenia 3T (Phillips) scanner under previously described settings [23 (link)]. Parameters such as cardiac volumes and mass were analyzed from imaging data using the CMR42 software (Circle Cardiovascular Imaging) and standardized protocols [23 (link)]. Four cardiac parameters were considered in this study: LVM, LVEDV, RVEDV, and AoF, with the first three being indexed to BSA according to the Dubois formula [47 ]. When performing multiple linear regression, adjustment was made for age, gender, and SBP. In the case of AoF, additional adjustment was made for weight and height. Only cardiac parameters with values within 2 SDs from their mean value were included for analysis. Numbers of data points analyzed for each cardiac parameter are as follows: LVM (n = 202), LVEDV (n = 216), RVEDV (n = 126), and AoF (n = 203). For logistic regression analysis of abnormally high BSA-indexed LVM against volunteer physical activity, only those of Chinese ethnicity were considered (n = 192). Cutoffs for defining abnormal BSA-indexed LVM were obtained from a study of 180 healthy Singaporeans (70 g/m2 for males, 50 g/m2 for females) [23 (link)].
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4

Quantification of Myocardial Infarction

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Late gadolinium enhancement quantification was performed using CMR42 software (Circle Cardiovascular Imaging, Calgary, Canada). The full‐width half‐maximum technique was used to quantify enhancement. The myocardial ring was divided in 12 segments. A segment with enhancement of > = 25% was considered infarct segment.
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5

Cardiovascular MRI Assessment of Aortic Dimensions

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Each subject underwent a CMR scan on a 3 Tesla system (Trio, Siemens Healthineers, Erlangen, Germany) for anatomical and 4D flow assessment using a 32-channel cardiac surface coil. All images were electrocardiogram (ECG)-gated. Balanced steady-state free-precession (bSSFP) cine sequences acquired during a single breath-hold were used for aortic dimension measurements at the level of the pulmonary arteries and for left ventricular (LV) volume assessment [9 (link)]. The velocity across the aortic valve was measured using through-plane phase contrast velocity mapping in an image slice placed perpendicular to the ascending aorta, just above the valve tips (at the vena contracta). Commercial CMR42 software (Circle Cardiovascular Imaging Inc., Calgary, Canada) was used for analysis of standard anatomical and velocity parameters. Aortic diameters were measured from inner edge to inner edge at end-diastole.
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Cardiovascular Phenotyping using CMR

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Cardiovascular phenotyping using cardiovascular magnetic resonance (CMR) will be performed in all healthy volunteers (3 T Ingenia, Philips or 1.5 T MAGNETOM Aera, Siemens). Conventional balanced steady-state free precession cine images of the vertical and horizontal long-axis planes and the sagittal LV outflow tract view will be acquired. Short-axis cines will be obtained from the mitral valve annulus to the apex (8 mm slices with 2 mm gap). In addition, a single breath hold 3D LV short axis stack will also be acquired in the same orientation. Aortic flow will be assessed using velocity-coded phase contrast imaging. Cardiac volumes, left ventricular mass, atrial sizes and aortic root will be measured in all patients using the CMR 42 software (Circle Cardiovascular Imaging). Normal CMR reference ranges in the Asian population were recently published using standardized protocols in our Image Analysis Laboratory [16 (link)].
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7

Cardiac Magnetic Resonance Imaging Assessment

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Ventricular volumes, function, mass, and ejection fraction was measured using a semi-automated threshold-based technique (CMRtools, Cardiovascular Imaging Solutions, London, UK), with indexing to body surface area [27 (link)]. The LV epicardial and endocardial borders were defined by manual planimetry excluding papillary muscles. Each short-axis slice was divided into 12 segments. The presence of LGE was recorded, and when present its extent was quantified using CMR42 software (Circle Cardiovascular Imaging, Calgary, Canada) with a full-width half-maximum threshold and expressed as percent of LV mass.
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8

Cardiac MRI Analysis Methodology

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All image analysis was performed using cmr42 software (Circle Cardiovascular Imaging Inc, Calgary, Alberta, Canada). Volumetric and mass analysis was performed in the standard manner from the short-axis stack9 (link) (LV) or long-axis cine images10 (link) (right ventricular, left and right atria). Ventricular and atrial measurements were indexed to body surface area. The presence of focal fibrosis or scar was assessed qualitatively from LGE imaging. T1 values were calculated from source images using manual motion correction, with a region of interest in the mid-inferoseptum as per Rogers et al.11 (link) Partition coefficient (λ) and ECV were calculated using the formulae:
where R1=1/T1 and Hct is hematocrit.
CMR chamber and tissue values were indexed to body surface area and estimated lean body mass (height2.7). Indexed myocyte and extracellular mass were calculated using the formulae: indexed myocyte mass=indexed LV mass×(100−%ECV); indexed extracellular mass=indexed LV mass×%ECV. (The standard deviation of ECV measurement in our center in a cohort of 30 healthy individuals was 2.8%.) All T1, ECV, volumetric, and mass analyses were performed by 2 observers (A. K. McDiarmid and B. Erhayiem) blinded to all subject data, including sporting discipline and aerobic capacity.
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9

Plasma Biomarkers in ST-Elevation AMI

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Plasma was obtained from 22 patients presenting at the Oxford Heart Centre with ST-segment elevation AMI, as part of the OxAMI Study (REC number 10/H0408/24) (1 (link)). Peripheral venous blood was obtained from patients at presentation in k2-ethylenediaminetetraacetic acid–coated (K2-EDTA–coated) tubes (BD Vacutainer) and processed within 30 minutes. Platelet-poor plasma was obtained by two rounds of centrifugation (5,000 g for 10 minutes). Plasma samples were frozen and stored at −80°C. All patients (n = 22) underwent 3 Tesla cardiac magnetic resonance imaging (Verio, Siemens, Germany) within 48 hours of presentation (1 (link)). Cardiac magnetic resonance analysis was carried out using cmr42 software (Circle Cardiovascular Imaging Inc.).
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10

Cardiac MRI Evaluation of LV Function

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Left ventricular (LV) function and volumes were assessed using the bSSFP short axis cine images and analyzed with cmr42 software (Circle Cardiovascular Imaging, Inc.) to give the following CMR parameters: (1) LV end-diastolic volume, (2) LV end-systolic volume, (3) LV ejection fraction (LVEF), and (4) LV mass. Volumes and mass were corrected for body surface area using the Mosteller equation [22 (link)]. Image quality scoring of the perfusion and LGE images were performed using a Likert scale from 1 to 4. A score of 1 being excellent and 4 being non-diagnostic. Fifty cases were chosen at random. Mean and standard deviation for perfusion and LGE image quality scoring were 1.4 (SD 0.6) and 1.8 (SD 0.6).
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