TY - JOUR
T1 - Optimization of radiotherapy using biological parameters.
AU - Kim, Yusung
AU - Tomé, Wolfgang
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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U2 - 10.1007/978-0-387-36744-6_12
DO - 10.1007/978-0-387-36744-6_12
M3 - Review article
C2 - 18236720
AN - SCOPUS:40049107773
SN - 0927-3042
VL - 139
SP - 257
EP - 278
JO - Cancer Treatment and Research
JF - Cancer Treatment and Research
ER -