Literature DB >> 18236720

Optimization of radiotherapy using biological parameters.

Yusung Kim1, Wolfgang Tomé.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18236720

Source DB:  PubMed          Journal:  Cancer Treat Res        ISSN: 0927-3042


  3 in total

1.  On Voxel based Iso-Tumor Control Probabilty and Iso-Complication Maps for Selective Boosting and Selective Avoidance Intensity Modulated Radiotherapy.

Authors:  Yusung Kim; Wolfgang A Tomé
Journal:  Imaging Decis (Berl)       Date:  2008

Review 2.  Hi-tech systems for in-vivo image-guided preclinical radiobiology.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-12       Impact factor: 9.236

3.  A comparison of dose-response characteristics of four NTCP models using outcomes of radiation-induced optic neuropathy and retinopathy.

Authors:  Vitali Moiseenko; William Y Song; Loren K Mell; Niranjan Bhandare
Journal:  Radiat Oncol       Date:  2011-06-06       Impact factor: 3.481

  3 in total

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