Publications by authors named "G Kukuk"
Article Synopsis
- Image-based detection of intralesional fat in liver lesions is important for diagnosing hepatocellular carcinoma (HCC) and correlates with better prognosis, prompting this study to examine the link between fat content and tumor grade in steatotic HCCs.
- The study analyzed 57 patients with steatotic HCC, finding that higher intralesional fat content in well-differentiated (G1) tumors compared to less-differentiated (G2 and G3) tumors, indicating that fat quantification could help differentiate tumor grades.
- The use of MRI proton density fat fraction (PDFF) mapping proved effective in distinguishing between different grades of HCC, suggesting its potential role in enhancing precision medicine for tumor
Background: With declining kidney function and therefore increasing plasma oxalate, patients with primary hyperoxaluria type I (PHI) are at risk to systemically deposit calcium-oxalate crystals. This systemic oxalosis may occur even at early stages of chronic kidney failure (CKD) but is difficult to detect with non-invasive imaging procedures.
Methods: We tested if magnetic resonance imaging (MRI) is sensitive to detect oxalate deposition in bone.
Objective: Robust dynamic contrast-enhanced T1-weighted images are crucial for accurate detection and categorization of focal liver lesions in liver/abdominal magnetic resonance imaging (MRI). As optimal dynamic imaging usually requires multiple breath-holds, its inherent susceptibility to motion artifacts frequently results in degraded image quality in incompliant patients. Because free-breathing imaging may overcome this drawback, the intention of this study was to evaluate a dynamic MRI sequence acquired during free breathing using the variable density, elliptical centric golden angle radial stack-of-stars radial sampling scheme, which so far has not been implemented in 4-dimensional applications.
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