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Article: Evaluation of dose prediction error and optimization convergence error in four-dimensional inverse planning of robotic stereotactic lung radiotherapy

TitleEvaluation of dose prediction error and optimization convergence error in four-dimensional inverse planning of robotic stereotactic lung radiotherapy
Authors
Issue Date2013
PublisherAmerican College of Medical Physics. The Journal's web site is located at http://www.jacmp.org/
Citation
Journal of Applied Clinical Medical Physics, 2013, v. 14 n. 4, p. 182-195 How to Cite?
AbstractInverse optimization of robotic stereotactic lung radiotherapy is typically performed using relatively simple dose calculation algorithm on a single instance of breathing geometry. Variations of patient geometry and tissue density during respiration could reduce the dose accuracy of these 3D optimized plans. To quantify the potential benefits of direct four-dimensional (4D) optimization in robotic lung radiosurgery, 4D optimizations using 1) ray-tracing algorithm with equivalent path-length heterogeneity correction (4EPL(opt)), and 2) Monte Carlo (MC) algorithm (4MC(opt)), were performed in 25 patients. The 4EPL(opt) plans were recalculated using MC algorithm (4MC(recal)) to quantify the dose prediction errors (DPEs). Optimization convergence errors (OCEs) were evaluated by comparing the 4MC(recal) and 4MC(opt) dose results. The results were analyzed by dose-volume histogram indices for selected organs. Statistical equivalence tests were performed to determine the clinical significance of the DPEs and OCEs, compared with a 3% tolerance. Statistical equivalence tests indicated that the DPE and the OCE are significant predominately in GTV D98%. The DPEs in V20 of lung, and D2% of cord, trachea, and esophagus are within 1.2%, while the OCEs are within 10.4% in lung V20 and within 3.5% in trachea D2%. The marked DPE and OCE suggest that 4D MC optimization is important to improve the dosimetric accuracy in robotic-based stereotactic body radiotherapy, despite the longer computation time.
Persistent Identifierhttp://hdl.handle.net/10722/202747
ISSN
2015 Impact Factor: 1.444
2015 SCImago Journal Rankings: 0.466

 

DC FieldValueLanguage
dc.contributor.authorChan, MKHen_US
dc.contributor.authorKwong, DLWen_US
dc.contributor.authorTong, Aen_US
dc.contributor.authorTam, Een_US
dc.contributor.authorNg, SCYen_US
dc.date.accessioned2014-09-19T09:33:35Z-
dc.date.available2014-09-19T09:33:35Z-
dc.date.issued2013en_US
dc.identifier.citationJournal of Applied Clinical Medical Physics, 2013, v. 14 n. 4, p. 182-195en_US
dc.identifier.issn1526-9914-
dc.identifier.urihttp://hdl.handle.net/10722/202747-
dc.description.abstractInverse optimization of robotic stereotactic lung radiotherapy is typically performed using relatively simple dose calculation algorithm on a single instance of breathing geometry. Variations of patient geometry and tissue density during respiration could reduce the dose accuracy of these 3D optimized plans. To quantify the potential benefits of direct four-dimensional (4D) optimization in robotic lung radiosurgery, 4D optimizations using 1) ray-tracing algorithm with equivalent path-length heterogeneity correction (4EPL(opt)), and 2) Monte Carlo (MC) algorithm (4MC(opt)), were performed in 25 patients. The 4EPL(opt) plans were recalculated using MC algorithm (4MC(recal)) to quantify the dose prediction errors (DPEs). Optimization convergence errors (OCEs) were evaluated by comparing the 4MC(recal) and 4MC(opt) dose results. The results were analyzed by dose-volume histogram indices for selected organs. Statistical equivalence tests were performed to determine the clinical significance of the DPEs and OCEs, compared with a 3% tolerance. Statistical equivalence tests indicated that the DPE and the OCE are significant predominately in GTV D98%. The DPEs in V20 of lung, and D2% of cord, trachea, and esophagus are within 1.2%, while the OCEs are within 10.4% in lung V20 and within 3.5% in trachea D2%. The marked DPE and OCE suggest that 4D MC optimization is important to improve the dosimetric accuracy in robotic-based stereotactic body radiotherapy, despite the longer computation time.-
dc.languageengen_US
dc.publisherAmerican College of Medical Physics. The Journal's web site is located at http://www.jacmp.org/-
dc.relation.ispartofJournal of Applied Clinical Medical Physicsen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subject.meshLung Neoplasms - radiography - radiotherapy - surgery-
dc.subject.meshRadiotherapy Planning, Computer-Assisted - statistics and numerical data-
dc.subject.meshRadiotherapy, Intensity-Modulated - statistics and numerical data-
dc.subject.meshRobotics-
dc.titleEvaluation of dose prediction error and optimization convergence error in four-dimensional inverse planning of robotic stereotactic lung radiotherapyen_US
dc.typeArticleen_US
dc.identifier.emailKwong, DLW: dlwkwong@hku.hken_US
dc.identifier.emailNg, SCY: ngchoryi@hku.hken_US
dc.identifier.authorityKwong, DLW=rp00414en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1120/jacmp.v14i4.4270en_US
dc.identifier.pmid23835392-
dc.identifier.scopuseid_2-s2.0-84880657446-
dc.identifier.hkuros239807en_US
dc.identifier.volume14en_US
dc.identifier.issue4-
dc.identifier.spage182en_US
dc.identifier.epage195en_US
dc.publisher.placeUnited States-

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