35 research outputs found

    Assessment of muscle function using hybrid PET/MRI:comparison of <sup>18</sup>F-FDG PET and T2-weighted MRI for quantifying muscle activation in human subjects

    Get PDF
    PURPOSE: The aim of this study was to determine the relationship between relative glucose uptake and MRI T (2) changes in skeletal muscles following resistance exercise using simultaneous PET/MRI scans. METHODS: Ten young healthy recreationally active men (age 21 – 28 years) were injected with (18)F-FDG while activating the quadriceps of one leg with repeated knee extension exercises followed by hand-grip exercises for one arm. Immediately following the exercises, the subjects were scanned simultaneously with (18)F-FDG PET/MRI and muscle groups were evaluated for increases in (18)F-FDG uptake and MRI T (2) values. RESULTS: A significant linear correlation between (18)F-FDG uptake and changes in muscle T (2) (R (2) = 0.71) was found. for both small and large muscles and in voxel to voxel comparisons. Despite large intersubject differences in muscle recruitment, the linear correlation between (18)F-FDG uptake and changes in muscle T (2) did not vary among subjects. CONCLUSION: This is the first assessment of skeletal muscle activation using hybrid PET/MRI and the first study to demonstrate a high correlation between (18)F-FDG uptake and changes in muscle T (2) with physical exercise. Accordingly, it seems that changes in muscle T (2) may be used as a surrogate marker for glucose uptake and lead to an improved insight into the metabolic changes that occur with muscle activation. Such knowledge may lead to improved treatment strategies in patients with neuromuscular pathologies such as stroke, spinal cord injuries and muscular dystrophies

    Speckle-Tracking Echocardiography for Predicting Outcome in Chronic Aortic Regurgitation During Conservative Management and After Surgery

    Get PDF
    ObjectivesThe aim of this study was to test myocardial deformation imaging using speckle-tracking echocardiography for predicting outcomes in chronic aortic regurgitation.BackgroundIn chronic aortic regurgitation, left ventricular (LV) dysfunction must be detected early to allow timely surgery. Speckle-tracking echocardiography has been proposed for this purpose, but the clinical value of this method in aortic regurgitation has not been established.MethodsA longitudinal study was performed in 64 patients with moderate to severe aortic regurgitation. Thirty-five patients were managed conservatively with frequent clinical visits and sequential echocardiography and followed for an average of 19 ± 8 months, while 29 patients underwent surgery for the valve lesion and were followed for 6 months post-operatively. Baseline LV function by speckle-tracking and conventional echocardiography was compared with impaired outcome after surgery (defined as persisting symptoms or persisting LV dilation [LV end-diastolic volume index ≥87 ml/m2] or dysfunction [LV ejection fraction <50%]) and with disease progression during conservative management (defined as development of symptoms, increase in LV volume >15%, or decrease in LV ejection fraction >10%).ResultsReduced myocardial systolic strain, systolic strain rate, and early diastolic strain rate by speckle-tracking echocardiography was associated with disease progression during conservative management (−16.3% vs. −19.0%, p = 0.02; −1.04 vs. −1.19 s−1, p = 0.02; and 1.20 vs. 1.60 s−1, p = 0.002, respectively) and with impaired outcome after surgery (−11.5% vs. −15.6%, p = 0.01; −0.88 vs. −1.01 s−1, p = 0.04; and 0.98 vs. 1.33 s−1, p = 0.01, respectively). Conventional parameters of LV function and size (LV ejection fraction and LV end-diastolic volume index) were associated with outcome after surgery (p = 0.04 and p = 0.01, respectively) but not with outcome during conservative management (p = 0.57 and p = 0.39, respectively).ConclusionsSpeckle-tracking echocardiography is useful for the early detection of LV systolic and diastolic dysfunction in chronic aortic regurgitation

    MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial

    Get PDF
    Aims To determine in a multicentre, multivendor trial the diagnostic performance for perfusion-cardiac magnetic resonance (perfusion-CMR) in comparison with coronary X-ray angiography (CXA) and single-photon emission computed tomography (SPECT). Methods and results Of 241 eligible patients from 18 centres, 234 were randomly dosed with 0.01, 0.025, 0.05, 0.075, or 0.1 mmol/kg Gd-DTPA-BMA (Omniscan™, GE-Healthcare) per stress (0.42 mg/kg adenosine) and rest perfusion study. Coronary artery disease (CAD) was defined as diameter stenosis ≥50% on quantitative CXA. Five CMR and eight SPECT studies (of 225 complete studies) were excluded from analyses due to inadequate quality (three blinded readers scored per modality). The comparison of CMR vs. SPECT was based on receiver operating characteristic (ROC) analysis. Perfusion-CMR at the optimal CM dose (0.1 mmol/kg) had similar performance as SPECT, if only the SPECT studies of the 42 patients with this dose were considered [area under ROC curve (AUC): 0.86 ± 0.06 vs. 0.75 ± 0.09 for SPECT, P = 0.12]; however, diagnostic performance of perfusion-CMR was better vs. the entire SPECT population (AUC: 0.67 ± 0.05, n = 212, P = 0.013). Conclusions In this multicentre, multivendor trial, ROC analyses suggest perfusion-CMR as a valuable alternative to SPECT for CAD detection showing equal performance in the head-to-head comparison. Comparing perfusion-CMR with the entire SPECT population suggests CMR superiority over SPECT, which warrants further evaluation in larger trial

    Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method

    Get PDF
    Kinetic analysis of (18)F-fluorodeoxyglucose positron emission tomography data requires an accurate knowledge the arterial input function. The gold standard method to measure the arterial input function requires collection of arterial blood samples and is an invasive method. Measuring an image derived input function is a non-invasive alternative but is challenging due to partial volume effects caused by the limited spatial resolution of the positron emission tomography scanners. In this work, a practical image derived input function extraction method is presented, which only requires segmentation of the carotid arteries from MR images. The simulation study results showed that at least 92% of the true intensity could be recovered after the partial volume correction. Results from 19 subjects showed that the mean cerebral metabolic rate of glucose calculated using arterial samples and partial volume corrected image derived input function were 26.9 and 25.4 mg/min/100 g, respectively, for the grey matter and 7.2 and 6.7 mg/min/100 g for the white matter. No significant difference in the estimated cerebral metabolic rate of glucose values was observed between arterial samples and corrected image derived input function (p > 0.12 for grey matter and white matter). Hence, the presented image derived input function extraction method can be a practical alternative to noninvasively analyze dynamic (18)F-fluorodeoxyglucose data without the need for blood sampling
    corecore