Inverse planning in brachytherapy from radium to high dose rate192iridium afterloading

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dc.contributor.author Lahanas, M en
dc.contributor.author Karouzakis, K en
dc.contributor.author Giannouli, S en
dc.contributor.author Mould, RF en
dc.contributor.author Baltas, D en
dc.date.accessioned 2014-03-01T11:45:51Z
dc.date.available 2014-03-01T11:45:51Z
dc.date.issued 2004 en
dc.identifier.issn 0029540X en
dc.identifier.uri http://hdl.handle.net/123456789/37660
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-2942597562&partnerID=40&md5=1e2b4345cffe426ce7376dbb52f5cf2a en
dc.subject Brachytherapy en
dc.subject Inverse planning en
dc.subject.other iridium 192 en
dc.subject.other radium en
dc.subject.other algorithm en
dc.subject.other brachytherapy en
dc.subject.other computer assisted radiotherapy en
dc.subject.other human en
dc.subject.other radiation dose en
dc.subject.other radiobiology en
dc.subject.other review en
dc.subject.other three dimensional imaging en
dc.subject.other treatment planning en
dc.title Inverse planning in brachytherapy from radium to high dose rate192iridium afterloading en
heal.type other en
heal.publicationDate 2004 en
heal.abstract We consider the inverse planning problem in brachytherapy, i.e. the problem to determine an optimal number of catheters, number of sources for low-dose rate brachytherapy (LDR) and the optimal dwell times for high-dose rate brachytherapy (HDR) necessary to obtain an optimal as possible dose distribution. Starting from the 1930s, inverse planning for LDR brachytherapy used geometrically derived rules to determine the optimal placement of sources in order to achieve a uniform dose distribution of a specific level in planes, spheres and cylinders. Rules and nomograms were derived which still are widely used. With the rapid development of 3D imaging technologies and the rapidly increasing computer power we have now entered the new era of computer-based inverse planning in brachytherapy. The inverse planning is now an optimisation process adapted to the individual geometry of the patient. New inverse planning optimisation algorithms are anatomy-based that consider the real anatomy of the tumour and the organs at risk (OAR). Computer-based inverse planning considers various effects such as stability of solutions for seed misplacements which cannot ever be solved analytically without gross simplifications. In the last few years multiobjective (MO) inverse planning algorithms have been developed which recognise the MO optimisation problem which is inherent in inverse planning in brachytherapy. Previous methods used a trial and error method to obtain a satisfactory solution. MO optimisation replaces this trial and error process by presenting a representative set of dose distributions that can be obtained. With MO optimisation it is possible to obtain information that can be used to obtain the optimum number of catheters, their position and the optimum distribution of dwell times for HDR brachytherapy. For LDR brachytherapy also the stability of solutions due to seed migration can also be improved. A spectrum of alternative solutions is available and the treatment planner can select the solution that best satisfies the clinical constraints. The inverse planning now can be extended to include characteristics of the radioactive sources that can be used for further improving the dose distributions that can be obtained leading to a generalized inverse planning. The computer-based inverse planning provides solutions that protect the OARs and the normal tissue better than by empirical methods. We present computer-based inverse planning algorithms used for LDR brachytherapy and currently also for HDR brachytherapy. en
heal.journalName Nowotwory en
dc.identifier.volume 54 en
dc.identifier.issue 3 en
dc.identifier.spage 195 en
dc.identifier.epage 218 en

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