Optimization of radiotherapy using biological parameters.

Yusung Kim, Wolfgang A. Tome

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Biological optimization can be based on the possible risk characteristics for local recurrence in tumor sub-volumes rather than individual tumor voxels and treatment plans may be optimized using biological objective functions that are region-specific. To this end, risk characteristics for local recurrence should be identified and quantified using functional imaging or functional imaging in combination with biopsy data. However, the diagnostic accuracy (sensitivity and specificity) of these functional imaging techniques will have a definite impact on any optimization strategy that uses such imaging information as input. Therefore, a detailed understanding of the effects of theragnostic accuracy (i.e., sensitivity and specificity) on tumor control and normal tissue complications is crucial to achieve optimum clinical outcome.

Original languageEnglish (US)
Pages (from-to)257-278
Number of pages22
JournalCancer Treatment and Research
Volume139
StatePublished - 2008
Externally publishedYes

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Radiotherapy
Recurrence
Sensitivity and Specificity
Tumor Burden
Neoplasms
Biopsy
Therapeutics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Optimization of radiotherapy using biological parameters. / Kim, Yusung; Tome, Wolfgang A.

In: Cancer Treatment and Research, Vol. 139, 2008, p. 257-278.

Research output: Contribution to journalArticle

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