بدائل البحث:
values increased » cases increased (توسيع البحث), dalys increased (توسيع البحث), also increased (توسيع البحث)
largest decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث)
ct values » _ values (توسيع البحث), i values (توسيع البحث)
c largest » _ largest (توسيع البحث), c large (توسيع البحث)
values increased » cases increased (توسيع البحث), dalys increased (توسيع البحث), also increased (توسيع البحث)
largest decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث)
ct values » _ values (توسيع البحث), i values (توسيع البحث)
c largest » _ largest (توسيع البحث), c large (توسيع البحث)
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Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx
منشور في 2025"…Our results indicate that SUVRs in most brain regions were decreased in patients with hypertension or T2DM but increased in patients with obesity or gout. …"
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Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx
منشور في 2025"…Our results indicate that SUVRs in most brain regions were decreased in patients with hypertension or T2DM but increased in patients with obesity or gout. …"
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Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc
منشور في 2025"…</p>Conclusion<p>This study found that capturing peripheral trabeculas (overall ROI) does not explain the increased Tb.Th in healthy mice and decreased Tb.N in OVX mice; both findings indicate that this is evident in both ROI. …"
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Evaluation results.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Dataset with steel insert.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Reference dataset.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Dataset with aluminium insert.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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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
منشور في 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].…"
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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
منشور في 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. …"
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