Literature DB >> 4019280

Benefit, risk, and optimization by ROC analysis in cancer radiotherapy.

J R Andrews.   

Abstract

The objective of definitive cancer radiation therapy is cure or control. The attainment of that objective is not without risk of treatment-induced radiation injury. The optimum treatment is, therefore, that level of radiotherapeutic effect with the maximum probability of benefit and the minimum associated probability of injury. An objective of radiotherapy research is the formulation of a model of optimization that is independent of a consensus of what constitutes optimization. Receiver operating characteristic (ROC) analysis is such a model, for it can relate probabilities of benefit and injury yielding a graphical determination of the optimum level of radiotherapeutic effect. ROC analysis is explained, an example taken from the contemporary radiotherapy literature is presented, and clinical research requirements for a general application of ROC analysis to the optimization of definitive cancer radiotherapy are developed.

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Year:  1985        PMID: 4019280     DOI: 10.1016/0360-3016(85)90345-1

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  4 in total

1.  Objective assessment of image quality VI: imaging in radiation therapy.

Authors:  Harrison H Barrett; Matthew A Kupinski; Stefan Müeller; Howard J Halpern; John C Morris; Roisin Dwyer
Journal:  Phys Med Biol       Date:  2013-11-21       Impact factor: 3.609

2.  Objective assessment of the effects of tumor motion in radiation therapy.

Authors:  Yijun Ding; Harrison H Barrett; Matthew A Kupinski; Yevgeniy Vinogradskiy; Moyed Miften; Bernard L Jones
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

3.  Task-based image quality assessment in radiation therapy: initial characterization and demonstration with computer-simulation study.

Authors:  Steven R Dolly; Yang Lou; Mark A Anastasio; Hua Li
Journal:  Phys Med Biol       Date:  2019-07-18       Impact factor: 3.609

4.  Employing the therapeutic operating characteristic (TOC) graph for individualised dose prescription.

Authors:  Aswin L Hoffmann; Henk Huizenga; Johannes H A M Kaanders
Journal:  Radiat Oncol       Date:  2013-03-07       Impact factor: 3.481

  4 in total

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