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Wyszukujesz frazę "Quarto, Maria" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Combined effects of radiotherapy and photodynamic therapy on an in vitro human prostate model.
Autorzy:
Colasanti, Alberto
Kisslinger, Annamaria
Quarto, Maria
Riccio, Patrizia
Powiązania:
https://bibliotekanauki.pl/articles/1041520.pdf
Data publikacji:
2004
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
radiotherapy
prostate
photodynamic therapy
indocyanine green
Opis:
Human prostate cancer cells were evaluated for growth after photodynamic therapy, radiotherapy, and combined treatment. Indocyanine green was tested as a photosensitizer and radiosensitizer. Two human cell lines were used: PC-3 derived from prostate carcinoma, and EPN derived from normal prostate tissue. The light source used for the photoactivation experiments was a diode laser peaked at 805 nm. The light dose incident on cells was 108 J/cm2. Ionizing radiation was produced by a linear accelerator, and the dose was 2, 4 and 6 Gy. Cytotoxicity was evaluated by measuring the colony forming ability of cells. Our results show that indocyanine green induces cell death by photoactivation, but it does not act as a radiosensitizer if used with ionizing radiation. The combined treatment of photodynamic therapy and radiotherapy produces an additive effect which does not depend on the sequence of the two treatments. Combined treatments could be more useful since they allow the reduction of the ionizing radiation dose to obtain the same effect as one obtainable by radiotherapy alone.
Źródło:
Acta Biochimica Polonica; 2004, 51, 4; 1039-1046
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity
Autorzy:
Loffredo, Filomena
Scala, Antonio
Adinolfi, Guido Maria
Savino, Federica
Quarto, Maria
Powiązania:
https://bibliotekanauki.pl/articles/147965.pdf
Data publikacji:
2020
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
geographical variability
geostatistics
Gini coefficient
Lorenz curve
radon concentration
variogram
Opis:
The population is continuously exposed to a background level of ionizing radiation due to the natural radioactivity and, in particular, with radon (222Rn). Radon gas has been classified as the second leading cause of lung cancer after tobacco smoke [1]. In the confined environment, radon concentration can reach harmful level and vary accordingly to many factors. Since the primary source of radon in dwellings is the subsurface, the risk assessment and reduction cannot disregard the identification of the local geology and the environmental predisposing factors. In this article, we propose a new methodology, based on the computation of the Gini coefficients at different spatial scales, to estimate the spatial correlation and the geographical variability of radon concentrations. This variability can be interpreted as a signature of the different subsurface geological conditions. The Gini coefficient computation is a statistical tool widely used to determine the degree of inhomogeneity of different kinds of distributions. We generated several simulated radon distributions, and the proposed tool has been validated by comparing the variograms based on the semi-variance computation with those ones based on the Gini coefficient. The Gini coefficient variogram is shown to be a good estimator of the inhomogeneity degree of radon concentration. Indeed, it allows to better constrain the critical distance below which the radon geological source can be considered as uniform at least for the investigated length scales of variability; it also better discriminates the fluctuations due to the environmental predisposing factors from those ones due to the random spatially uncorrelated noise.
Źródło:
Nukleonika; 2020, 65, 2; 99-104
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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