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DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy.

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Bibliographic Details
Title:	DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy.
Authors:	Mountris, Konstantinos A.¹ konstantinos.mountris@gmail.com, Visvikis, Dimitris¹, Bert, Julien¹
Source:	International Journal of Radiation Oncology, Biology, Physics. Feb2019, Vol. 103 Issue 2, p503-510. 8p.
Subjects:	Low dose rate brachytherapy, Radiation dosimetry, Urethra, Graphics processing units, Simulated annealing, Computer simulation, Evaluation research, Radiotherapy, Radiometry, Computer software, Research evaluation, Prostate tumors, Radioisotope brachytherapy, Quality control, System analysis, Prostate, Computers in medicine, Imaging phantoms, Research methodology, Research, Digital image processing, Radiation doses, Comparative studies, Algorithms
Abstract:	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. [ABSTRACT FROM AUTHOR]
	Copyright of International Journal of Radiation Oncology, Biology, Physics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

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