Today's Hours: 8:00am - 10:00pm
Lane Medical Library

Search

Filter Results

Did You Mean:

Search Results

Sort by
relevance
  • Article
    Corre P, Merceron C, Vignes C, Sourice S, Masson M, Durand N, Espitalier F, Pilet P, Cordonnier T, Mercier J, Remy S, Anegon I, Weiss P, Guicheux J.
    PLoS One. 2013;8(12):e81599.
    PURPOSE: Autologous bone grafting (BG) remains the standard reconstruction strategy for large craniofacial defects. Calcium phosphate (CaP) biomaterials, such as biphasic calcium phosphate (BCP), do not yield consistent results when used alone and must then be combined with cells through bone tissue engineering (BTE). In this context, total bone marrow (TBM) and bone marrow-derived mesenchymal stem cells (MSC) are the primary sources of cellular material used with biomaterials. However, several other BTE strategies exist, including the use of growth factors, various scaffolds, and MSC isolated from different tissues. Thus, clinicians might be unsure as to which method offers patients the most benefit. For this reason, the aim of this study was to compare eight clinically relevant BTE methods in an "all-in-one" study.
    METHODS: We used a transgenic rat strain expressing green fluorescent protein (GFP), from which BG, TBM, and MSC were harvested. Progenitor cells were then mixed with CaP materials and implanted subcutaneously into nude mice. After eight weeks, bone formation was evaluated by histology and scanning electron microscopy, and GFP-expressing cells were tracked with photon fluorescence microscopy.
    RESULTS/CONCLUSIONS: Bone formation was observed in only four groups. These included CaP materials mixed with BG or TBM, in which abundant de novo bone was formed, and BCP mixed with committed cells grown in two- and three-dimensions, which yielded limited bone formation. Fluorescence microscopy revealed that only the TBM and BG groups were positive for GFP expressing-cells, suggesting that these donor cells were still present in the host and contributed to the formation of bone. Since the TBM-based procedure does not require bone harvest or cell culture techniques, but provides abundant de novo bone formation, we recommend consideration of this strategy for clinical applications.
    Digital Access Access Options
  • Article
    Acaroğlu H, Güllü M, Seçilmiş C.
    Environ Sci Pollut Res Int. 2023 Jul;30(34):81585-81599.
    Using a non-linear autoregressive distributed lag time-series analysis, this paper investigates the causal relationship between climate change, the tourism sector, and energy consumption in Turkey. The trade-off between a country's economic growth and the environmental degradation caused by tourism and the energy sector is critical in terms of scientifically addressing the issue and developing economic policies. As a result, climate change is used as the dependent variable and is represented by precipitation and temperature separately; the independent variables are tourist arrivals, energy consumption, and economic growth. Data is gathered by various institutions from 1995 to 2020. According to the test results, while positive and negative shocks contribute to the decrease in precipitation and temperature in renewable energy consumption (REC) in the long-run, they affect the increase in precipitation and temperature in non-renewable energy consumption (NREC). In the long-run relationship between tourism and temperature, a decrease in the number of tourist arrivals causes a decrease in temperature and precipitation. The findings reveal that a decrease in the number of tourist arrivals and an increase in REC may aid in decreasing temperature, while the increase in NREC may cause an increase in temperature. Through a case study of Turkey, decision-makers should consider these scientific findings that are in the frame of non-linear analysis as possible scenarios for mitigating climate change and fostering sustainable economic growth with efficient tourism policies for the world.
    Digital Access Access Options
  • Book
    Timothy Szczykutowicz.
    Summary: Covers everything from the basic x-ray photon interactions of CT to scheduling patients and properly organising and displaying protocols. After reading this book, radiologists should have enough confidence to suggest changes to their CT protocol optimization teams.

    Contents:
    1. Introduction to CT
    2. Example CT Exam Workflows
    3. Image Quality and System Performance
    4. Dose5. Reconstruction Options
    6. Acquisition Parameters and Master Protocols
    7. Automatic Exposure Control
    8. CT Contrast
    9. Beam Energy, CT Number, and Dual-Energy CT
    10. Patient Positioning
    11. Protocol Management
    12. Protocol Review
    13. Clinical MDCT
    14. CBCT and Non-Diagnostic CT
    15. Informatics and CT
    16. Artifacts
    17. Buyer's Guide of Optional Features in CT.
    Digital Access R2Library 2020
    Limited to 1 simultaneous user