Magnetic resonance imaging
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To determine the diagnostic performance of diffusion-weighted MRI and MR volumetry for the assessment of tumor response after preoperative chemoradiotherapy (CRT) in patients with locally advanced rectal cancer. ⋯ The increase in the mean tumor ADC and percentage tumor volume regression in patients with rectal cancer treated with preoperative CRT was correlated with good response. DW MR imaging is a promising non-invasive technique that can help predict and monitor early therapeutic response in patients with rectal cancer who undergo CRT.
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Quantitative susceptibility mapping (QSM) is a new technique for quantifying magnetic susceptibility. It has already found various applications in quantifying in vivo iron content, calcifications and changes in venous oxygen saturation. The accuracy of susceptibility mapping is dependent on several factors. ⋯ The uncertainties in estimating susceptibility differences using susceptibility maps, phase images, and T2* maps are analyzed and compared. Finally, example clinical applications are presented. We conclude that QSM holds great promise in quantifying iron and becoming a standard clinical tool.
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To correlate the enhancement parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors and immunohistochemical subtypes of breast cancer. ⋯ BPE, BEC and ipsilateral whole-breast vascularity, higher K(trans) and kep of the cancer and lower K(trans) and iAUC of ipsilateral breast parenchyma may serve as additional predictors of a poor breast cancer prognosis.
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Randomized Controlled Trial
Can MRI related patient anxiety be prevented?
To evaluate the effectivity of a combined intervention of information and communication to reduce magnetic resonance imaging (MRI) anxiety using prolactin and cortisol as biochemical markers and State Trait Anxiety Inventory (STAI). ⋯ MRI anxiety can be reduced by information and communication. This combined method is shown to be effective and should be used during daily radiology routine.
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To investigate the correlation between perfusion-related parameters obtained with intravoxel incoherent motion (IVIM) and classical perfusion parameters obtained with dynamic contrast-enhanced (DCE) magnetic resonance imaging in patients with head and neck squamous cell carcinoma (HNSCC), and to compare direct and asymptotic fitting, the pixel-by-pixel approach, and a region of interest (ROI)-based approach respectively for IVIM parameter calculation. ⋯ IVIM was found to be feasible for the analysis of perfusion-related parameters in patients with HNSCC. Especially, the combination of asymptotic fitting with the ROI-based approach was better correlated with DCE perfusion.