Zygmanski, Piotr ; Hoegele, Wolfgang ; Tsiamas, Panagiotis ; Cifter, Fulya ; Ngwa, Wil ; Berbeco, Ross ; Makrigiorgos, Mike ; Sajo, Erno
Alternative Links zum Volltext:DOIVerlag
Dokumentenart: | Artikel |
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Titel eines Journals oder einer Zeitschrift: | Medical Physics |
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Verlag: | AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICS |
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Ort der Veröffentlichung: | MELVILLE |
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Band: | 40 |
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Nummer des Zeitschriftenheftes oder des Kapitels: | 2 |
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Seitenbereich: | 024102 |
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Datum: | 2013 |
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Institutionen: | Medizin > Lehrstuhl für Strahlentherapie |
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Identifikationsnummer: | Wert | Typ |
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10.1118/1.4773885 | DOI |
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Stichwörter / Keywords: | LOCAL EFFECT MODEL; MONTE-CARLO-SIMULATION; GOLD NANOPARTICLES; DOSE ENHANCEMENT; RADIATION-THERAPY; CLINICAL SCENARIO; MAMMALIAN-CELLS; PHOTON ENERGY; X-RAY; DNA; gold; nanoparticle; LEM; RBE |
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Dewey-Dezimal-Klassifikation: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin |
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Status: | Veröffentlicht |
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Begutachtet: | Ja, diese Version wurde begutachtet |
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An der Universität Regensburg entstanden: | Ja |
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Dokumenten-ID: | 62852 |
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Web of Science
Zusammenfassung
Purpose: The authors present a stochastic framework for the assessment of cell survival in gold nanoparticle radiotherapy. Methods: The authors derive the equations for the effective macroscopic dose enhancement for a population of cells with nonideal distribution of gold nanoparticles (GNP), allowing different number of GNP per cell and different distances with respect to the cellular target. ...
Zusammenfassung
Purpose: The authors present a stochastic framework for the assessment of cell survival in gold nanoparticle radiotherapy. Methods: The authors derive the equations for the effective macroscopic dose enhancement for a population of cells with nonideal distribution of gold nanoparticles (GNP), allowing different number of GNP per cell and different distances with respect to the cellular target. They use the mixed Poisson distribution formalism to model the impact of the aforementioned physical factors on the effective dose enhancement. Results: The authors show relatively large differences in the estimation of cell survival arising from using approximated formulae. They predict degeneration of the cell killing capacity due to different number of GNP per cell and different distances with respect to the cellular target. Conclusions: The presented stochastic framework can be used in interpretation of experimental cell survival or tumor control probability studies. c 2013 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.4773885]