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1000 Titel
  • Radiotherapy and COVID-19—everything under control or just the start of a long story?
1000 Autor/in
  1. Nestle, Ursula |
  2. Krause, Mechthild |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-24
1000 Erschienen in
1000 Quellenangabe
  • 196(12):1065-1067
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00066-020-01704-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684561/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!To examine the equivalent uniform dose (EUD) formalism using the universal survival curve (USC) applicable to high-dose stereotactic body radiotherapy (SBRT).!##!Materials and methods!#!For nine non-small-cell carcinoma cell (NSCLC) lines, the linear-quadratic (LQ) and USC models were used to calculate the EUD of a set of hypothetical two-compartment tumor dose-volume histogram (DVH) models. The dose was varied by ±5%, ±10%, and ±20% about the prescription dose (60 Gy/3 fractions) to the first compartment, with fraction volume varying from 1% and 5% to 30%. Clinical DVHs of 21 SBRT treatments of NSCLC prescribed to the 70-83% isodose lines were also considered. The EUD of non-standard SBRT dose fractionation (EUD!##!Results!#!For non-standard SBRT fractionation, the deviation of the USC- from the LQ-EUD!##!Conclusion!#!A uniform formalism of EUD should be defined among the SBRT community in order to apply it as a single metric for dose reporting and dose-response modeling in high-dose-gradient SBRT because its value depends on the underlying cell survival model and the model parameters. Further investigations of the optimal formalism to derive the EUD through clinical correlations are warranted.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal COVID-19 [MeSH]
lokal Humans [MeSH]
lokal Betacoronavirus [MeSH]
lokal Pneumonia, Viral/epidemiology [MeSH]
lokal Oncology
lokal Editorial
lokal Radiotherapy
lokal Pandemics [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TmVzdGxlLCBVcnN1bGE=|https://frl.publisso.de/adhoc/uri/S3JhdXNlLCBNZWNodGhpbGQ=
1000 Hinweis
  • DeepGreen-ID: 61554b14c670462382cfec29a8d711d5 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 @id frl:6443212.rdf
1000 Erstellt am 2023-04-26T17:43:50.837+0200
1000 Erstellt von 322
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1000 Zuletzt bearbeitet Fri Oct 13 20:08:44 CEST 2023
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  1. oai:frl.publisso.de:frl:6443212 |
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