PMID- 29191470 OWN - NLM STAT- MEDLINE DCOM- 20181119 LR - 20181119 IS - 1873-4022 (Electronic) IS - 1873-4022 (Linking) VI - 43 IP - 3 DP - 2018 Autumn TI - Optimal beam margins in linac-based VMAT stereotactic ablative body radiotherapy: a Pareto front analysis for liver metastases. PG - 291-301 LID - S0958-3947(17)30120-6 [pii] LID - 10.1016/j.meddos.2017.10.006 [doi] AB - We explored the Pareto fronts mathematical strategy to determine the optimal block margin and prescription isodose for stereotactic body radiotherapy (SBRT) treatments of liver metastases using the volumetric-modulated arc therapy (VMAT) technique. Three targets (planning target volumes [PTVs] = 20, 55, and 101 cc) were selected. A single fraction dose of 26 Gy was prescribed (prescription dose [PD]). VMAT plans were generated for 3 different beam energies. Pareto fronts based on (1) different multileaf collimator (MLC) block margin around PTV and (2) different prescription isodose lines (IDL) were produced. For each block margin, the greatest IDL fulfilling the criteria (95% of PTV reached 100%) was considered as providing the optimal clinical plan for PTV coverage. Liver D(mean), V7Gy, and V12Gy were used against the PTV coverage to generate the fronts. Gradient indexes (GI and mGI), homogeneity index (HI), and healthy liver irradiation in terms of D(mean), V7Gy, and V12Gy were calculated to compare different plans. In addition, each target was also optimized with a full-inverse planning engine to obtain a direct comparison with anatomy-based treatment planning system (TPS) results. About 900 plans were calculated to generate the fronts. GI and mGI show a U-shaped behavior as a function of beam margin with minimal values obtained with a +1 mm MLC margin. For these plans, the IDL ranges from 74% to 86%. GI and mGI show also a V-shaped behavior with respect to HI index, with minimum values at 1 mm for all metrics, independent of tumor dimensions and beam energy. Full-inversed optimized plans reported worse results with respect to Pareto plans. In conclusion, Pareto fronts provide a rigorous strategy to choose clinical optimal plans in SBRT treatments. We show that a 1-mm MLC block margin provides the best results with regard to healthy liver tissue irradiation and steepness of dose fallout. CI - Copyright (c) 2017 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved. FAU - Cilla, Savino AU - Cilla S AD - Medical Physics Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy. Electronic address: savino.cilla@fgps.it. FAU - Ianiro, Anna AU - Ianiro A AD - Medical Physics Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy. FAU - Deodato, Francesco AU - Deodato F AD - Radiation Oncology Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy. FAU - Macchia, Gabriella AU - Macchia G AD - Radiation Oncology Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy. FAU - Digesu, Cinzia AU - Digesu C AD - Radiation Oncology Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy. FAU - Valentini, Vincenzo AU - Valentini V AD - Radiation Oncology Unit, Fondazione di Ricerca e Cura Giovanni Paolo II-Universita Cattolica del Sacro Cuore, Campobasso, Italy; Radiation Oncology Department, Policlinico Universitario A. Gemelli-Universita Cattolica del Sacro Cuore, Roma, Italy. FAU - Morganti, Alessio G AU - Morganti AG AD - Radiation Oncology Department, DIMES Universita di Bologna-Ospedale S.Orsola Malpighi, Bologna, Italy. LA - eng PT - Journal Article DEP - 20171127 PL - United States TA - Med Dosim JT - Medical dosimetry : official journal of the American Association of Medical Dosimetrists JID - 8908862 SB - IM MH - Humans MH - Liver Neoplasms/*radiotherapy/secondary MH - *Radiosurgery MH - *Radiotherapy Planning, Computer-Assisted MH - *Radiotherapy, Intensity-Modulated OTO - NOTNLM OT - Pareto OT - Planning optimization OT - SBRT OT - VMAT EDAT- 2017/12/02 06:00 MHDA- 2018/11/20 06:00 CRDT- 2017/12/02 06:00 PHST- 2017/06/20 00:00 [received] PHST- 2017/09/21 00:00 [revised] PHST- 2017/10/23 00:00 [accepted] PHST- 2017/12/02 06:00 [pubmed] PHST- 2018/11/20 06:00 [medline] PHST- 2017/12/02 06:00 [entrez] AID - S0958-3947(17)30120-6 [pii] AID - 10.1016/j.meddos.2017.10.006 [doi] PST - ppublish SO - Med Dosim. 2018 Autumn;43(3):291-301. doi: 10.1016/j.meddos.2017.10.006. Epub 2017 Nov 27.