Home > Publications database > Simultaneous optimization of RBE-weighted dose and nanometric ionization distributions in treatment planning with carbon ions. > print |
001 | 142252 | ||
005 | 20240229112530.0 | ||
024 | 7 | _ | |a 10.1088/1361-6560/aaf400 |2 doi |
024 | 7 | _ | |a pmid:30523890 |2 pmid |
024 | 7 | _ | |a 0031-9155 |2 ISSN |
024 | 7 | _ | |a 1361-6560 |2 ISSN |
024 | 7 | _ | |a altmetric:53451031 |2 altmetric |
037 | _ | _ | |a DKFZ-2019-00055 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 530 |
100 | 1 | _ | |a Burigo, Lucas Norberto |0 P:(DE-He78)914adea2baeb4f2c6a29637da6500048 |b 0 |e First author |u dkfz |
245 | _ | _ | |a Simultaneous optimization of RBE-weighted dose and nanometric ionization distributions in treatment planning with carbon ions. |
260 | _ | _ | |a Bristol |c 2019 |b IOP Publ. |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1550840797_11936 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Inverse treatment planning in intensity modulated particle therapy (IMPT) with scanned carbon-ion beams is currently based on the optimization of RBE-weighted dose to satisfy requirements of target coverage and limited toxicity to organs-at-risk (OARs) and healthy tissues. There are many feasible IMPT plans that meet these requirements, which allows the introduction of further criteria to narrow the selection of a biologically optimal treatment plan. We propose a novel treatment planning strategy based on the simultaneous optimization of RBE-weighted dose and nanometric ionization details (ID) as a new physical characteristic of the delivered plan beyond LET. In particular, we focus on the distribution of large ionization clusters (more than 3 ionizations) to enhance the biological effect across the target volume while minimizing biological effect in normal tissues. Carbon-ion treatment plans for different patient geometries and beam configurations generated with the simultaneous optimization strategy were compared against reference plans obtained with RBE-weighted dose optimization alone. Quality indicators, inhomogeneity index and planning volume histograms of RBE-weighted dose and large ionization clusters were used to evaluate the treatment plans. We show that with simultaneous optimization, ID distributions can be optimized in carbon-ion radiotherapy without compromising the RBE-weighted dose distributions. This strategy can potentially be used to account for optimization of endpoints closely related to radiation quality to achieve better tumor control and reduce risks of complications. |
536 | _ | _ | |a 315 - Imaging and radiooncology (POF3-315) |0 G:(DE-HGF)POF3-315 |c POF3-315 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
700 | 1 | _ | |a Ramos-Méndez, José |b 1 |
700 | 1 | _ | |a Bangert, Mark |0 P:(DE-He78)fec480a99b1869ec73688e95c2f0a43b |b 2 |u dkfz |
700 | 1 | _ | |a Schulte, Reinhard W |b 3 |
700 | 1 | _ | |a Faddegon, Bruce |b 4 |
773 | _ | _ | |a 10.1088/1361-6560/aaf400 |g Vol. 64, no. 1, p. 015015 - |0 PERI:(DE-600)1473501-5 |n 1 |p 015015 |t Physics in medicine and biology |v 64 |y 2019 |x 1361-6560 |
909 | C | O | |o oai:inrepo02.dkfz.de:142252 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)914adea2baeb4f2c6a29637da6500048 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 2 |6 P:(DE-He78)fec480a99b1869ec73688e95c2f0a43b |
913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-315 |2 G:(DE-HGF)POF3-300 |v Imaging and radiooncology |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
914 | 1 | _ | |y 2019 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b PHYS MED BIOL : 2017 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
920 | 1 | _ | |0 I:(DE-He78)E040-20160331 |k E040 |l Medizinische Physik in der Strahlentherapie |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)E040-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|