Publications by authors named "K Zegers"

Article Synopsis
  • - Natural Language Processing (NLP) helps organize and analyze radiological reports, which is critical for accurately staging conditions like lung cancer using CT and PET-CT scans.
  • - A new algorithm, TN-PET-CT, is developed to enhance the existing TN-CT algorithm by incorporating metabolic activity for improved tumor staging.
  • - The study shows that while the TN-PET-CT algorithm has a respectable accuracy (0.73 for training, 0.62 for validation), its performance relies heavily on the quality of the reports and specific medical terminology used.
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Purpose: Dynamic contrast-enhanced CT (DCE-CT) quantifies vasculature properties of tumors, whereas static FDG-PET/CT defines metabolic activity. Both imaging modalities are capable of showing intra-tumor heterogeneity. We investigated differences in vasculature properties within primary non-small cell lung cancer (NSCLC) tumors measured by DCE-CT and metabolic activity from FDG-PET/CT.

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Progesterone exerts its effect by binding to specific progesterone receptors (PR) within the cell. In dogs and cats, no data are available on PR isoforms as found in other species. We therefore investigated the sequence of the PR gene and encoded protein in dogs and cats, the expression of PR isoforms in mammary tissue using Western blots and the presence of PR in mammary tissue using immunohistochemistry.

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