Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021640456> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2021640456 endingPage "356" @default.
- W2021640456 startingPage "341" @default.
- W2021640456 abstract "Estimation of the survival fractions of cells irradiated with various particles over a wide linear energy transfer (LET) range is of great importance in the treatment planning of charged-particle therapy. Two computational models were developed for estimating survival fractions based on the concept of the microdosimetric kinetic model. They were designated as the double-stochastic microdosimetric kinetic and stochastic microdosimetric kinetic models. The former model takes into account the stochastic natures of both domain and cell nucleus specific energies, whereas the latter model represents the stochastic nature of domain specific energy by its approximated mean value and variance to reduce the computational time. The probability densities of the domain and cell nucleus specific energies are the fundamental quantities for expressing survival fractions in these models. These densities are calculated using the microdosimetric and LET-estimator functions implemented in the Particle and Heavy Ion Transport code System (PHITS) in combination with the convolution or database method. Both the double-stochastic microdosimetric kinetic and stochastic microdosimetric kinetic models can reproduce the measured survival fractions for high-LET and high-dose irradiations, whereas a previously proposed microdosimetric kinetic model predicts lower values for these fractions, mainly due to intrinsic ignorance of the stochastic nature of cell nucleus specific energies in the calculation. The models we developed should contribute to a better understanding of the mechanism of cell inactivation, as well as improve the accuracy of treatment planning of charged-particle therapy." @default.
- W2021640456 created "2016-06-24" @default.
- W2021640456 creator A5040155646 @default.
- W2021640456 creator A5049671821 @default.
- W2021640456 date "2012-10-01" @default.
- W2021640456 modified "2023-10-01" @default.
- W2021640456 title "Cell Survival Fraction Estimation Based on the Probability Densities of Domain and Cell Nucleus Specific Energies Using Improved Microdosimetric Kinetic Models" @default.
- W2021640456 cites W1847687345 @default.
- W2021640456 cites W1963737392 @default.
- W2021640456 cites W1967154055 @default.
- W2021640456 cites W2010899247 @default.
- W2021640456 cites W2023640892 @default.
- W2021640456 cites W2035948492 @default.
- W2021640456 cites W2040145532 @default.
- W2021640456 cites W2047298867 @default.
- W2021640456 cites W2057917414 @default.
- W2021640456 cites W2075495373 @default.
- W2021640456 cites W2081844303 @default.
- W2021640456 cites W2085852226 @default.
- W2021640456 cites W2091705392 @default.
- W2021640456 cites W2100075865 @default.
- W2021640456 cites W2104358865 @default.
- W2021640456 cites W2117546830 @default.
- W2021640456 cites W2119860372 @default.
- W2021640456 cites W2123254632 @default.
- W2021640456 cites W2126291511 @default.
- W2021640456 cites W2126425813 @default.
- W2021640456 cites W2132034069 @default.
- W2021640456 cites W2153683941 @default.
- W2021640456 cites W2163082543 @default.
- W2021640456 cites W2164774279 @default.
- W2021640456 cites W2169051130 @default.
- W2021640456 cites W3137404195 @default.
- W2021640456 doi "https://doi.org/10.1667/rr2842.1" @default.
- W2021640456 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22880622" @default.
- W2021640456 hasPublicationYear "2012" @default.
- W2021640456 type Work @default.
- W2021640456 sameAs 2021640456 @default.
- W2021640456 citedByCount "71" @default.
- W2021640456 countsByYear W20216404562013 @default.
- W2021640456 countsByYear W20216404562014 @default.
- W2021640456 countsByYear W20216404562015 @default.
- W2021640456 countsByYear W20216404562017 @default.
- W2021640456 countsByYear W20216404562018 @default.
- W2021640456 countsByYear W20216404562019 @default.
- W2021640456 countsByYear W20216404562020 @default.
- W2021640456 countsByYear W20216404562021 @default.
- W2021640456 countsByYear W20216404562022 @default.
- W2021640456 countsByYear W20216404562023 @default.
- W2021640456 crossrefType "journal-article" @default.
- W2021640456 hasAuthorship W2021640456A5040155646 @default.
- W2021640456 hasAuthorship W2021640456A5049671821 @default.
- W2021640456 hasConcept C105795698 @default.
- W2021640456 hasConcept C121332964 @default.
- W2021640456 hasConcept C121864883 @default.
- W2021640456 hasConcept C127491075 @default.
- W2021640456 hasConcept C135889238 @default.
- W2021640456 hasConcept C145148216 @default.
- W2021640456 hasConcept C159985019 @default.
- W2021640456 hasConcept C192562407 @default.
- W2021640456 hasConcept C204323151 @default.
- W2021640456 hasConcept C33923547 @default.
- W2021640456 hasConcept C35048267 @default.
- W2021640456 hasConcept C62520636 @default.
- W2021640456 hasConcept C74650414 @default.
- W2021640456 hasConceptScore W2021640456C105795698 @default.
- W2021640456 hasConceptScore W2021640456C121332964 @default.
- W2021640456 hasConceptScore W2021640456C121864883 @default.
- W2021640456 hasConceptScore W2021640456C127491075 @default.
- W2021640456 hasConceptScore W2021640456C135889238 @default.
- W2021640456 hasConceptScore W2021640456C145148216 @default.
- W2021640456 hasConceptScore W2021640456C159985019 @default.
- W2021640456 hasConceptScore W2021640456C192562407 @default.
- W2021640456 hasConceptScore W2021640456C204323151 @default.
- W2021640456 hasConceptScore W2021640456C33923547 @default.
- W2021640456 hasConceptScore W2021640456C35048267 @default.
- W2021640456 hasConceptScore W2021640456C62520636 @default.
- W2021640456 hasConceptScore W2021640456C74650414 @default.
- W2021640456 hasIssue "4" @default.
- W2021640456 hasLocation W20216404561 @default.
- W2021640456 hasLocation W20216404562 @default.
- W2021640456 hasOpenAccess W2021640456 @default.
- W2021640456 hasPrimaryLocation W20216404561 @default.
- W2021640456 hasRelatedWork W1984483722 @default.
- W2021640456 hasRelatedWork W1989528934 @default.
- W2021640456 hasRelatedWork W2041602036 @default.
- W2021640456 hasRelatedWork W2087498838 @default.
- W2021640456 hasRelatedWork W2105239579 @default.
- W2021640456 hasRelatedWork W2143120362 @default.
- W2021640456 hasRelatedWork W2937227058 @default.
- W2021640456 hasRelatedWork W3099422388 @default.
- W2021640456 hasRelatedWork W2033032413 @default.
- W2021640456 hasRelatedWork W2190552620 @default.
- W2021640456 hasVolume "178" @default.
- W2021640456 isParatext "false" @default.
- W2021640456 isRetracted "false" @default.
- W2021640456 magId "2021640456" @default.
- W2021640456 workType "article" @default.