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Titolo: AN ADAPTIVECONTROL ALGORITHM FOR OPTIMIZATION OF INTENSITYMODULATEDRADIOTHERAPY CONSIDERING UNCERTAINTIES INBEAM PROFILES, PATIENT SETUP AND INTERNAL ORGAN MOTION
Autore: LOF J; LIND BK; BRAHME A;
 Indirizzi:
 KAROLINSKA INST,DEPT MED RADIAT PHYS,POB 260 S17176 STOCKHOLM SWEDEN UNIV STOCKHOLM S17176 STOCKHOLM SWEDEN
 Titolo Testata:
 Physics in medicine and biology
fascicolo: 6,
volume: 43,
anno: 1998,
pagine: 1605  1628
 SICI:
 00319155(1998)43:6<1605:AAAFOO>2.0.ZU;2Y
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 RADIATIONTHERAPY; IRRADIATION; ACCURACY; IMAGES;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 17
 Recensione:
 Indirizzi per estratti:



 Citazione:
 J. Lof et al., "AN ADAPTIVECONTROL ALGORITHM FOR OPTIMIZATION OF INTENSITYMODULATEDRADIOTHERAPY CONSIDERING UNCERTAINTIES INBEAM PROFILES, PATIENT SETUP AND INTERNAL ORGAN MOTION", Physics in medicine and biology, 43(6), 1998, pp. 16051628
Abstract
A new general beam optimization algorithm for inverse treatment planning is presented. It utilizes a new formulation of the probability to achieve complicationfree tumour control. The new formulation explicitly describes the dependence of the treatment outcome on the incident fluence distribution, the patient geometry, the radiobiological properties of the patient and the fractionation schedule. In order to accountfor both measured and nonmeasured positioning uncertainties, the algorithm is based on a combination of dynamic and stochastic optimization techniques. Because of the difficulty in measuring all aspects of the intraand interfractional variations in the patient geometry, such as internal organ displacements and deformations, these uncertainties are primarily accounted for in the treatment planning process by intensity modulation using stochastic optimization. The information about the deviations from the nominal fluence profiles and the nominal position of the patient relative to the beam that is obtained by portal imaging during treatment delivery, is used in a feedback loop to automatically adjust the profiles and the location of the patient for all subsequent treatments. Based on the treatment delivered in previous fractions, the algorithm furnishes optimal corrections for the remaining dose delivery both with regard to the fluence profile and its position relative to the patient. By dynamically refining the beam configuration from fraction to fraction, the algorithm generates an optimal sequence of treatments that very effectively reduces the influence of systematicand random setup uncertainties to minimize and almost eliminate their overall effect on the treatment. Computer simulations have shown that the present algorithm leads to a significant increase in the probability of uncomplicated tumour control compared with the simple classical approach of adding fixed setup margins to the internal target volume.
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Documento generato il 28/11/20 alle ore 18:44:03