Evaluation of a dedicated brain metastases treatment planning optimization for radiosurgery: a new treatment paradigm?
Purpose: To investigate the feasibility of a novel dedicated treatment planning solution, to automatically target multiple brain metastases with a single isocenter and multiple inversely-optimized dynamic conformal arcs (DCA), and to benchmark it against the well-established multiple isocenter DCA (...
| Published in: | Radiation Oncology Vol. 11; pp. 1 - 8 |
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| Main Authors: | , , , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
BioMed Central
2/2/2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112777081&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112777081 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1748717X 38NX jtl: Radiation Oncology issn: 1748717X maglogo: N pubinfo: dt: 2/2/2016 vid: 11 pid: 24147 pub: BioMed Central artinfo: ui: 112777081 112777081 NLM26831367 112777081 10.1186/s13014-016-0593-y NLM26831367 PMC4736109 112777081 ppf: 1 ppct: 7 formats: tig: atl: Evaluation of a dedicated brain metastases treatment planning optimization for radiosurgery: a new treatment paradigm? aug: au: Gevaert, Thierry Steenbeke, Femke Pellegri, Luca Engels, Benedikt Christian, Nicolas Hoornaert, Marie-Thérèse Verellen, Dirk Mitine, Carine De Ridder, Mark affil: Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium sug: subj: Radiosurgery Methods Radiotherapy, Computer-Assisted Methods Brain Neoplasms Radiotherapy Radiotherapy, Conformal Methods Information Science Algorithms Radiation Dosage Benchmarking Random Assignment Software Brain Neoplasms Pathology Human Neoplasm Metastasis Radiometry Methods Automation Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Purpose: To investigate the feasibility of a novel dedicated treatment planning solution, to automatically target multiple brain metastases with a single isocenter and multiple inversely-optimized dynamic conformal arcs (DCA), and to benchmark it against the well-established multiple isocenter DCA (MIDCA) and volumetric modulated arc therapy (VMAT) approaches.Material and Methods: Ten previously treated patients were randomly selected, each representing a variable number of lesions ranging between 1 to 8. The original MIDCA treatments were replanned with both VMAT and the novel brain metastases tool. The plans were compared by means of Paddick conformity (CI) and gradient index (GI), and the volumes receiving 10 Gy (V10) and 12 Gy (V12).Results: The brain metastases software tool generated plans with similar CI (0.65 ± 0.08) as both established treatment techniques while improving the gradient (mean GI = 3.9 ± 1.4). The normal tissue exposure in terms of V10 (48.5 ± 35.9 cc) and V12 (36.3 ± 27.1 cc) compared similarly to the MIDCA technique and surpassed VMAT plans.Conclusions: The automated brain metastases planning algorithm software is an optimization of DCA radiosurgery by increasing delivery efficiency to the level of VMAT approaches. Improving dose gradients and normal tissue sparing over VMAT, revives DCA as the paradigm for linac-based stereotactic radiosurgery of multiple brain metastases. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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