Purpose: To investigate the contrast enhancement in DSA images based on the X-ray absorption characteristics of iodinated contrast media.
Methods: We have derived a new formula of predicting the pixel value ratio of two different contrast media and designate it as "Contrast Enhancement Ratio (CER)". In order to evaluate the accuracy of CER, we have evaluated the relationship between CER and pixel value ratio for all combinations of eleven iodinated contrast media. The non-ionic iodinated contrast media, iopamidol, iomeprol, iopromide, ioversol, iohexol, and iodixanol, were evaluated in this study. Each contrast medium was filled in the simulated blood vessel in our constructed anthropomorphic phantom, and DSA images were obtained using an angiographic imaging system. To evaluate the contrast enhancement of the contrast medium, the mean pixel value was calculated from all pixel values in the vascular image.
Results: CER was indicated to agree well with the pixel value ratio of two different contrast medium solutions and showed a good accuracy. CER was also shown to have a good linear relation to the pixel value ratio when the iodine concentration was constant. This means that the molecular structure of the contrast media affects contrast enhancement efficacy. Furthermore, in evaluation of contrast enhancement of iodinated contrast media by using the weight factor (that is a key factor in CER) ratio, Iodixanol, and iopamidol, and iomeprol have the same ability of contrast enhancement in DSA images, and iohexol shows the lowest ability.
Conclusions: We have derived a new formula (CER) of predicting the pixel value ratio of two different contrast medium solutions, and shown that CER agreed well with the pixel value ratio for blood vessel filled with eleven contrast media.
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http://dx.doi.org/10.1016/j.ejro.2018.09.005 | DOI Listing |
Eur Radiol
January 2025
Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Objectives: To characterize the radiological findings of desmoid-type fibromatosis (DF).
Methods: This two-institution retrospective study included 152 patients with pathologically confirmed DF who underwent computed tomography (CT), magnetic resonance imaging (MRI), or 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET)/CT between January 2001 and February 2024. Two board-certified radiologists independently evaluated the CT, MRI, and FDG-PET/CT findings, and a third board-certified radiologist resolved discrepancies.
Abdom Radiol (NY)
January 2025
Hiroshima University, Hiroshima City, Japan.
Purpose: To investigate the utility of intracellular enhancement (ICE) technique which suppresses signals from the extracellular space for the evaluation of hepatic function on gadoxetic acid-enhanced hepatobiliary-phase (HBP) images.
Methods: We subjected 67 patients with suspected neoplastic hepatic lesions to gadoxetic acid-enhanced HBP imaging with and without ICE [i-HBP, conventional-HBP (c-HBP)]. A radiologist calculated the liver/spleen contrast (LSC) [LSC = signal intensity (SI) of liver/SI of spleen].
J Sleep Res
January 2025
Faculty of Psychology and Sports Science, Department of Psychology, Bielefeld University, Bielefeld, Germany.
Pre-sleep worrying is associated with sleep disturbance, which in turn is associated with impaired affective wellbeing. However, studies examining the fine-grained temporal order of these variables are still lacking. In particular, within-person mediation of the association between pre-sleep worrying and the following day's affective wellbeing by subjective and objective indicators of sleep has not been tested yet.
View Article and Find Full Text PDFChembiochem
January 2025
Fuzhou University College of Chemistry, chemistry, CHINA.
N-glycosides exhibit diverse biological and pharmacological activities, making their efficient synthesis crucial for both biological research and drug development. Traditional acid-promoted N-glycosylation methods, which rely on the formation of oxocarbenium intermediates, often face significant challenges. These methods are water-sensitive and typically require neighboring group participation to achieve high selectivity.
View Article and Find Full Text PDFMed Phys
January 2025
Service d'Imagerie Médicale, AP-HP, Hôpitaux Universitaires Henri Mondor, Créteil, France.
Background: Deep learning image reconstruction (DLIR) algorithms allow strong noise reduction while preserving noise texture, which may potentially improve hypervascular focal liver lesions.
Purpose: To assess the impact of DLIR on image quality (IQ) and detectability of simulated hypervascular hepatocellular carcinoma (HCC) in fast kV-switching dual-energy CT (DECT).
Methods: An anthropomorphic phantom of a standard patient morphology (body mass index of 23 kg m) with customized liver, including mimickers of hypervascular lesions in both late arterial phase (AP) and portal venous phase (PVP) enhancement, was scanned on a DECT.
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