Showing 41 - 60 results of 123 for search 'ct values decrease', query time: 0.11s Refine Results
  1. 41

    Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
  2. 42

    Supplementary file 1_The role of micro-CT in breast cancer management: a systematic review on the clinical applications of micro-CT in breast cancer and a diagnostic accuracy meta-... by Seyed Mostafa Meshkati Yazd (15198320)

    Published 2025
    “…Micro-computed tomography (micro-CT) has already exhibited clinical value, yielding high-resolution three-dimensional (3D) volumetric images. …”
  3. 43

    Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc by Huihui Xu (778437)

    Published 2025
    “…However, whether different ROIs directly affect the results of quantitative micro-CT-based microarchitectural data is still unknown. …”
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    Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

    Published 2025
    “…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV<sub>mean</sub> in patients with obesity, 3.6 ± 0.1; SUV<sub>mean</sub> in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”
  19. 59

    Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

    Published 2025
    “…Logistic regression analysis identified several independent risk factors for poor treatment outcomes, including diabetes, cavities in the lungs, tracheobronchial TB, increased C-reactive protein, and decreased hemoglobin. The AUC values were 0.815 for the modeling group and 0.851 for the validation group. …”
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