A multicenter study has been employed to evaluate the diagnostic efficacy of magnetic resonance imaging (MRI) using the new liver-specific contrast agent gadoxetic acid (Gd-EOB-DTPA, Primovist), as opposed to contrast-enhanced biphasic spiral computed tomography (CT), in the diagnosis of focal liver lesions, compared with a standard of reference (SOR). One hundred and sixty-nine patients with hepatic lesions eligible for surgery underwent Gd-EOB-DTPA-enhanced MRI as well as CT within 6 weeks. Pathologic evaluation of the liver specimen combined with intraoperative ultrasound established the SOR. Data sets were evaluated on-site (14 investigators) and off-site (three independent blinded readers). Gd-EOB-DTPA was well tolerated. Three hundred and two lesions were detected in 131 patients valid for analysis by SOR. The frequency of correctly detected lesions was significantly higher on Gd-EOB-DTPA-enhanced MRI compared with CT in the clinical evaluation [10.44%; 95% confidence interval (CI): 4.88, 16.0]. In the blinded reading there was a trend towards Gd-EOB-DTPA-enhanced MRI, not reaching statistical significance (2.14%; 95% CI: -4.32, 8.6). However, the highest rate of correctly detected lesions with a diameter below 1 cm was achieved by Gd-EOB-DTPA-enhanced MRI. Differential diagnosis was superior for Gd-EOB-DTPA-enhanced MRI (82.1%) versus CT (71.0%). A change in surgical therapy was documented in 19 of 131 patients (14.5%) post Gd-EOB-DTPA-enhanced MRI. Gd-EOB-DTPA-enhanced MRI was superior in the diagnosis and therapeutic management of focal liver lesions compared with CT.
CMR guided the change of chelation therapy in nearly 70% of patients, leading to a lower risk of iron-mediated HF and of arrhythmias than previously reported. Homogeneous MIO remained a risk factor for HF but also myocardial fibrosis and ventricular dysfunction identified patients at high risk. Arrhythmias were independent of MIO but increased with atrial dilatation. CMR by a multi-parametric approach dramatically improves cardiac outcomes and provides prognostic information beyond cardiac iron estimation.
Purpose:To assess the transferability of the magnetic resonance imaging (MRI) multislice multiecho T2* technique for global and segmental measurement of iron overload in thalassemia patients.
Materials and Methods:Multiecho T2* sequences were installed on six MRI scanners. Five healthy subjects (n ϭ 30) were scanned at each site; five thalassemia major (TM) patients were scanned at the reference site and were rescanned locally (n ϭ 25) within 1 month. T2* images were analyzed using previously validated software.Results: T2* values of healthy subjects showed intersite homogeneity. On TM patients, for global heart T2* values the correlation coefficient was 0.97, coefficients of variation (CoV s ) ranged from 0.04 -0.12, and intraclass coefficients (ICC s ) ranged from 0.94 -0.99. The mean CoV and ICC for segmental T2* distribution were 0.198 and 88, respectively.
Conclusion:The multislice multiecho T2* technique is transferable among scanners with good reproducibility.
Purpose of this study was to evaluate the accuracy of mammography, ultrasonography, and magnetic resonance imaging (MRI), in the detection of breast implant rupture and to make a correlation with findings at explantation. The study population consisted of 63 women with 82 implants, undergoing surgical explantation. Implant rupture status was blindly determined obtaining diagnosis of rupture, possible rupture, or intact implant. Strictly predetermined rupture criteria were applied and compared with findings at surgery, which were considered the gold standard. False-positives and false-negatives were retrospectively evaluated to identify pitfalls in the investigation. All associations between imaging signs and surgical findings were evaluated by using chi-square test. The respective sensitivity and specificity of investigations are reported. Our experience suggests that MRI is the more accurate method for identification of breast implant rupture, even if it should be performed following the diagnostic algorithm proposed.
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