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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Medical Physicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Medical Physics
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Medical Physics
Article . 2023
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Modeling clinical outcomes in radiotherapy: NTCP, TCP and the “TECs”

Authors: Ellen, Yorke;

Modeling clinical outcomes in radiotherapy: NTCP, TCP and the “TECs”

Abstract

AbstractRadiation therapy is a double‐edged sword which damages both tumor and normal cells. Achieving treatments with high tumor control probability (TCP) yet low normal tissue complication probability (NTCP) is often a struggle because we rarely have a unified understanding of the dosimetric and clinical correlates of the desired outcomes. I am fortunate to have participated in some of these struggles, including analyzing and using in‐house data and being involved in the AAPM and ASTRO “TEC” projects—QUANTEC (Quantitatie Analysis of Normal Tissue Effects in the Clinic), HyTEC (Hypofractionated Treatment Effects in the Clinic) and PENTEC (Pediatric Normal Tissue Effects in the Clinic).

Related Organizations
Keywords

Radiotherapy Planning, Computer-Assisted, Neoplasms, Humans, Radiotherapy Dosage, Child, Radiometry, Probability

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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