DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy.
Purpose: Inverse planning is an integral part of modern low-dose-rate brachytherapy. Current clinical planning systems do not exploit the total dose information and largely use the American Association of Physicists in Medicine TG-43 dosimetry formalism to ensure clinically acceptable planning times...
| Publicado en: | International Journal of Radiation Oncology, Biology, Physics Vol. 103; no. 2; pp. 503 - 511 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Feb2019
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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=134016699&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134016699 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: Feb2019 vid: 103 iid: 2 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 134016699 134016699 NLM30315873 134016699 10.1016/j.ijrobp.2018.09.041 NLM30315873 134016699 ppf: 503 ppct: 8 formats: tig: atl: DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy. aug: au: Mountris, Konstantinos A. Visvikis, Dimitris Bert, Julien affil: LaTIM, INSERM, UMR 1101, Brest, France sug: subj: Prostatic Neoplasms Radiotherapy Radiotherapy, Computer-Assisted Methods Image Processing, Computer Assisted Methods Brachytherapy Methods Male Algorithms Reproducibility of Results Radiometry Phantoms, Imaging Radiation Dosage Quality Control (Technology) Systems Analysis Computer Simulation Software Human Prostate Radiation Effects Validation Studies Comparative Studies Evaluation Research Multicenter Studies Male ab: Purpose: Inverse planning is an integral part of modern low-dose-rate brachytherapy. Current clinical planning systems do not exploit the total dose information and largely use the American Association of Physicists in Medicine TG-43 dosimetry formalism to ensure clinically acceptable planning times. Thus, suboptimal plans may be derived as a result of TG-43-related dose overestimation and nonconformity with dose distribution requirements. The purpose of this study was to propose an inverse planning approach that can improve planning quality by combining dose-volume information and precision without compromising the overall execution times.Methods and Materials: The dose map was generated by accumulating precomputed Monte Carlo (MC) dose kernels for each candidate source implantation site. The MC computational burden was reduced by using graphics processing unit acceleration, allowing accurate dosimetry calculations to be performed in the intraoperative environment. The proposed dose-volume histogram (DVH) fast simulated annealing optimization algorithm was evaluated using clinical plans that were delivered to 18 patients who underwent low-dose-rate prostate brachytherapy.Results: Our method generated plans in 37.5 ± 3.2 seconds with similar prostate dose coverage, improved prostate dose homogeneity of up to 6.1%, and lower dose to the urethra of up to 4.0%.Conclusions: A DVH-based optimization algorithm using MC dosimetry was developed. The inclusion of the DVH requirements allowed for increased control over the optimization outcome. The optimal plan's quality was further improved by considering tissue heterogeneity. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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