The diagnostic imaging of renal masses has greatly benefitted from US and CT. Nevertheless, a certain number of problems and errors are still present, and they must be discussed once more. In the authors' experience, problems and errors have 3 fundamental causes: operator, examination technique and complex patterns of renal masses. The latter is the most important cause of error in CT diagnosis. Complex patterns are seen in a limited number of cystic masses--i.e., hemorrhagic, inflammatory, and septated cysts, and cystic tumors. Hemorrhagic cysts, if hemorrhage is not recent, can cause some diagnostic difficulties since the typical high density of the recent hemorrhage is no longer present. Other renal masses may appear hyperdense on unenhanced CT scans, and therefore they must be considered in the differential diagnosis. Inflammatory cysts and abscesses are sometimes difficult to differentiate from other masses due to their aspecific appearance; clinical correlation is important in these instances to support CT diagnosis. Multiseptated cysts and cystic tumors cause huge problems of differential diagnosis. A good knowledge of differential CT findings is sure to reduce the problems in differentiating benign from malignant tumors and, among the latter, the different histotypes and metastases, when present as solitary masses. Also in this case, the correlation between CT, clinical history and other modalities can reduce the number of questionable cases.
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Sci Rep
January 2025
National Research Council of Canada, NRC-Fields Mathematical Sciences Collaboration Centre, 222 College st., Toronto, ON, M5T 3J1, Canada.
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View Article and Find Full Text PDFISA Trans
January 2025
School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China; Qingdao Innovation Center of Artificial Intelligence Ocean Technology, Qingdao 266061, China; The Research Institute for Mathematics and Interdisciplinary Sciences, Qingdao University of Science and Technology, Qingdao 266061, China. Electronic address:
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View Article and Find Full Text PDFJ Phys Chem A
January 2025
Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Campusvej 55, Odense M DK-5230, Denmark.
Quantum computing presents a promising avenue for solving complex problems, particularly in quantum chemistry, where it could accelerate the computation of molecular properties and excited states. This work focuses on computing excitation energies with hybrid quantum-classical algorithms for near-term quantum devices, combining the quantum linear response (qLR) method with a polarizable embedding (PE) environment. We employ the self-consistent operator manifold of quantum linear response (q-sc-LR) on top of a unitary coupled cluster (UCC) wave function in combination with a Davidson solver.
View Article and Find Full Text PDFAdm Policy Ment Health
January 2025
LUMC Curium - Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Post Box 15, Leiden, 2300 AA, the Netherlands.
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