Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/46889
Title: Biological-Based and Physical-Based Optimization for Biological Evaluation of Prostate Patient's Plans
Authors: Sukhikh, Evgeniya Sergeevna
Sheino, I.
Vertinsky, A.
Keywords: лучевая терапия; опухоли; облучение; дозиметрические исследования; радиационная терапия; радиобиология; рак
Issue Date: 2017
Publisher: AIP Publishing
Citation: Sukhikh E. S. Biological-Based and Physical-Based Optimization for Biological Evaluation of Prostate Patient's Plans / E. S. Sukhikh, I. Sheino, A. Vertinsky // AIP Conference Proceedings. — 2017. — Vol. 1882 : Physics of Cancer: Interdisciplinary Problems and Clinical Applications (PC IPCA’17) : Proceedings of the International conference, 23–26 May 2017, Tomsk, Russia. — [020074, 4 p.].
Abstract: Modern modalities of radiation treatment therapy allow irradiation of the tumor to high dose values and irradiation of organs at risk (OARs) to low dose values at the same time. In this paper we study optimal radiation treatment plans made in Monaco system. The first aim of this study was to evaluate dosimetric features of Monaco treatment planning system using biological versus dose-based cost functions for the OARs and irradiation targets (namely tumors) when the full potential of built-in biological cost functions is utilized. The second aim was to develop criteria for the evaluation of radiation dosimetry plans for patients based on the macroscopic radiobiological criteria - TCP/NTCP. In the framework of the study four dosimetric plans were created utilizing the full extent of biological and physical cost functions using dose calculation-based treatment planning for IMRT Step-and-Shoot delivery of stereotactic body radiation therapy (SBRT) in prostate case (5 fractions per 7 Gy).
URI: http://earchive.tpu.ru/handle/11683/46889
Appears in Collections:Материалы конференций

Files in This Item:
File Description SizeFormat 
doi.org-10.1063-1.5001653.pdf483,46 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.