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Sökning: WFRF:(Liu Jinzhao)

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  • Chen, Hanwei, et al. (författare)
  • Tumor Volumes Measured From Static and Dynamic F-18-fluoro-2-deoxy-D-glucose Positron Emission Tomography-Computed Tomography Scan : Comparison of Different Methods Using Magnetic Resonance Imaging as the Criterion Standard
  • 2014
  • Ingår i: Journal of computer assisted tomography. - 0363-8715 .- 1532-3145. ; 38:2, s. 209-215
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: The objective of this study was to compare the accuracy of calculating the primary tumor volumes using a gradient-based method and fixed threshold methods on the standardized uptake value (SUV) maps and the net influx of FDG (Ki) maps from positron emission tomography-computed tomography (PET-CT) images. Materials and Methods: Newly diagnosed patients with head and neck cancer were recruited, and dynamic PET-CT scan and T2-weighted magnetic resonance imaging were performed. The maps of Ki and SUV were calculated from PET-CT images. The tumor volumes were calculated using a gradient-based method and a fixed threshold method at 40% of maximal SUV or maximal Ki. Four kinds of volumes, VOLKi-Gra (from the Ki maps using the gradient-based method), VOLKi-40% (from the Ki maps using the threshold of 40% maximal Ki), VOLSUV-Gra (from the SUV maps using the gradient-based method), and VOLSUV-40% (from the SUV maps using the threshold of 40% maximal SUV), were acquired and compared with VOLMRI (the volumes acquired on T2-weighted images) using the Pearson correlation, paired t test, and similarity analysis. Results: Eighteen patients were studied, of which 4 had poorly defined tumors (PDT). The positron emission tomography-derived volumes were as follows: VOLSUV-40%, 2.1 to 41.2 cm(3) (mean [SD], 12.3 [10.6]); VOLSUV-Gra, 2.2 to 28.1 cm(3) (mean [SD], 13.2 [8.4]); VOLKi-Gra, 2.4 to 17.0 cm(3) (mean [SD], 9.5 [4.6]); and VOLKi-40%, 2.7 to 20.3 cm(3) (mean [SD], 12.0 [6.0]). The VOLMRI ranged from 2.9 to 18.1 cm(3) (mean [SD], 9.1 [3.9]). The VOLKi-Gra significantly correlated with VOLMRI with the highest correlation coefficient (PDT included, R = 0.673, P = 0.002; PDT excluded, R = 0.841, P < 0.001) and presented no difference from VOLMRI (P = 0.672 or 0.561, respectively, PDT included and excluded). The difference between VOLKi-Gra and VOLMRI was also the smallest. Conclusions: The tumor volumes delineated on the Ki maps using the gradient-based method are more accurate than those on the SUV maps and using the fixed threshold methods.
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  • Yan, Dongna, et al. (författare)
  • Anthropogenic drivers accelerate the changes of lake microbial eukaryotic communities over the past 160 years
  • 2024
  • Ingår i: Quaternary Science Reviews. - : Elsevier. - 0277-3791 .- 1873-457X. ; 327
  • Tidskriftsartikel (refereegranskat)abstract
    • Human impacts on Earth's atmosphere, hydrosphere, litosphere and biosphere are so significant as to naming a new geological epoch, the Anthropocene. Lakes and their biota are highly sensitive to environmental changes. Among aquatic organisms, microbial eukaryotes play fundamental roles associated with lake ecosystem functioning, food webs, nutrient cycling, and pollutant degradation. However, the response of lake microbial eukaryotic community during the Anthropocene to changes in environmental conditions remain poorly understood. Here, we applied a 18S metabarcoding approach to sedimentary DNA to reconstruct the temporal dynamics of microbial eukaryotic community over the past 160 years. We investigated the influence of environmental conditions and of biotic interactions on the microbial eukaryotes in Sihailongwan Maar Lake, one of the candidate sites of Global boundary Stratotype Section and Point (GSSP) for demarcation of the Anthropocene. Microbial eukaryotes were dominated by dinoflagellates, chlorophytes, ciliates, pirsoniales, rotifers, ochrophytes, apicomplexans and cercozoans that were divided into four functional groups that are photoautotrophs, mixotrophs, consumers and parasites. The predominance of phototrophs and their strong associations with organisms from other trophic levels, confirmed their crucial roles in nutrient cycling, energy flows and ecosystem services in freshwater ecosystems. Abrupt changes in the 1950s in microbial eukaryotic diversity and composition were consistent with changes observed in the pollutants emissions i.e., heavy metals, combustion indices (spheroidal carbonaceous particles, polycyclic aromatic hydrocarbon, Soot F14C), radioactivity indicators (239,240Pu, 129I/127I), nutrients (total organic carbon, total nitrogen, phosphorus), and temperature. Statistical analysis revealed that anthropogenic drivers controlled the temporal dynamic of microbial eukaryotic community. Our findings provide additional biostratigraphy evidence of the impact of environmental change on this lake biota, which further supports the value of this system to characterize the Anthropocene.
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