Spot-Scanning Proton Arc (SPArc) Therapy: The First Robust and Delivery-Efficient Spot-Scanning Proton Arc Therapy.
Purpose: To present a novel robust and delivery-efficient spot-scanning proton arc (SPArc) therapy technique.Methods and Materials: A SPArc optimization algorithm was developed that integrates control point resampling, energy layer redistribution, energy layer filtration, and energy layer resampling...
| Publicado en: | International Journal of Radiation Oncology, Biology, Physics Vol. 96; no. 5; pp. 1107 - 1117 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Dec2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=119339894&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 119339894 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03603016 1ZQ jtl: International Journal of Radiation Oncology, Biology, Physics issn: 03603016 maglogo: N pubinfo: dt: Dec2016 vid: 96 iid: 5 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 119339894 119339894 NLM27869083 10.1016/j.ijrobp.2016.08.049 NLM27869083 119339894 ppf: 1107 ppct: 10 formats: tig: atl: Spot-Scanning Proton Arc (SPArc) Therapy: The First Robust and Delivery-Efficient Spot-Scanning Proton Arc Therapy. aug: au: Ding, Xuanfeng Li, Xiaoqiang Zhang, J. Michele Kabolizadeh, Peyman Stevens, Craig Yan, Di affil: Department of Radiation Oncology, Beaumont Health System, Rose Cancer Center, Royal Oak, Michigan sug: subj: Radiotherapy, Computer-Assisted Methods Radiotherapy, Conformal Methods Oropharyngeal Neoplasms Radiotherapy Proton Therapy Methods Lung Neoplasms Radiotherapy Carcinoma, Non-Small-Cell Lung Radiotherapy Carcinoma, Non-Small-Cell Lung Pilot Studies Quality Improvement Body Regions Algorithms Radiation Dosage Time Factors Oropharyngeal Neoplasms Lung Neoplasms Ferrans and Powers Quality of Life Index Scales ab: Purpose: To present a novel robust and delivery-efficient spot-scanning proton arc (SPArc) therapy technique.Methods and Materials: A SPArc optimization algorithm was developed that integrates control point resampling, energy layer redistribution, energy layer filtration, and energy layer resampling. The feasibility of such a technique was evaluated using sample patients: 1 patient with locally advanced head and neck oropharyngeal cancer with bilateral lymph node coverage, and 1 with a nonmobile lung cancer. Plan quality, robustness, and total estimated delivery time were compared with the robust optimized multifield step-and-shoot arc plan without SPArc optimization (Arcmulti-field) and the standard robust optimized intensity modulated proton therapy (IMPT) plan. Dose-volume histograms of target and organs at risk were analyzed, taking into account the setup and range uncertainties. Total delivery time was calculated on the basis of a 360° gantry room with 1 revolutions per minute gantry rotation speed, 2-millisecond spot switching time, 1-nA beam current, 0.01 minimum spot monitor unit, and energy layer switching time of 0.5 to 4 seconds.Results: The SPArc plan showed potential dosimetric advantages for both clinical sample cases. Compared with IMPT, SPArc delivered 8% and 14% less integral dose for oropharyngeal and lung cancer cases, respectively. Furthermore, evaluating the lung cancer plan compared with IMPT, it was evident that the maximum skin dose, the mean lung dose, and the maximum dose to ribs were reduced by 60%, 15%, and 35%, respectively, whereas the conformity index was improved from 7.6 (IMPT) to 4.0 (SPArc). The total treatment delivery time for lung and oropharyngeal cancer patients was reduced by 55% to 60% and 56% to 67%, respectively, when compared with Arcmulti-field plans.Conclusion: The SPArc plan is the first robust and delivery-efficient proton spot-scanning arc therapy technique, which could potentially be implemented into routine clinical practice. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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