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Biological Considerations in Beam Selection for Particle Therapy Optimization
Biological Considerations in Beam Selection for Particle Therapy Optimization
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151044
- ISBN
- 9798381967777
- DDC
- 610
- 저자명
- Ramesh, Pavitra.
- 서명/저자
- Biological Considerations in Beam Selection for Particle Therapy Optimization
- 발행사항
- [Sl] : University of California, Los Angeles, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 196 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
- 주기사항
- Advisor: Ruan, Dan;Sheng, Ke.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2024.
- 초록/해제
- 요약PurposeBeam orientation and biological dose optimization are interdependent features of Intensity-Modulated Proton Therapy (IMPT). Current automated beam orientation optimization (BOO) methods are robust and able to provide beam convergence but have not accounted for accurate biological modeling that narrows the therapeutic window. Biological models such as relative biological effectiveness (RBE) and oxygen enhancement ratio (OER) and machine parameters such as dose-averaged dose rate (DADR) are highly complex and lead to computationally challenging frameworks that may be solved by novel optimization methods.MethodsThe robust BOO framework for IMPT was formulated with physical dose fidelity to provide accurate dose to the tumor and limit dose to organs at risk (OARs), a heterogeneity-weighted L2,1/2-norm group sparsity term to reduce the number of active beams to 2-4, and a sensitivity regularization term. The dose fidelity term was updated to consider variable RBE values, lower oxygenation status in tumor regions, and the normal tissue sparing effects caused by high dose rate. These biologically-informed BOO frameworks were solved with RBE and dose rate linearization along with splitting schemes. The plans were generally tested on challenging head-and-neck (H&N) cases and compared against previous plans in terms of dosimetry and robustness. ResultsCompared to IMPT BOO plans solved with constant RBE=1.1, McNamara RBE-based dose was able to improve OAR [Dmean, Dmax, worst Dmean, worst Dmax] by an average of [36.1%, 26.4%, 25.0%, 19.2%] with modest CTV coverage and robustness improvement. Additionally, hypoxia-based RBE dose fidelity was able to increase tumor [HI, Dmax, worst HI, worst Dmax] by [31.3%, 48.6%, 12.5%, 7.3%] with only [8.0%, 13.1%] increase in OAR [Dmean, Dmax], increasing the therapeutic index. Next, compared to spread-out Bragg peak IMPT BOO plans, dose rate-optimized plans with Bragg peak and shoot-through beams combined were able to increase volume of ROIs receiving 40 Gy/s by approximately 41.1%, while improving CTV homogeneity by 5.6% and improving OAR dose in several structures. ConclusionsNovel optimization methods were developed for biologically-guided IMPT. The objective function integrates RBE-weighted dose, hypoxia-informed dose, and dose rate optimization into a unified framework with BOO as the baseline objective. Compared with the physical dose BOO or manual selection, our method generates plans with superior tumor and normal tissue dosimetry and robustness.
- 일반주제명
- Medicine
- 일반주제명
- Nuclear physics
- 일반주제명
- Biology
- 일반주제명
- Physics
- 기타저자
- University of California, Los Angeles Physics and Biology in Medicine 009Y
- 기본자료저록
- Dissertations Abstracts International. 85-09B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017160582
■00520250211151044
■006m o d
■007cr#unu||||||||
■020 ▼a9798381967777
■035 ▼a(MiAaPQ)AAI31140403
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a610
■1001 ▼aRamesh, Pavitra.
■24510▼aBiological Considerations in Beam Selection for Particle Therapy Optimization
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a196 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-09, Section: B.
■500 ▼aAdvisor: Ruan, Dan;Sheng, Ke.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2024.
■520 ▼aPurposeBeam orientation and biological dose optimization are interdependent features of Intensity-Modulated Proton Therapy (IMPT). Current automated beam orientation optimization (BOO) methods are robust and able to provide beam convergence but have not accounted for accurate biological modeling that narrows the therapeutic window. Biological models such as relative biological effectiveness (RBE) and oxygen enhancement ratio (OER) and machine parameters such as dose-averaged dose rate (DADR) are highly complex and lead to computationally challenging frameworks that may be solved by novel optimization methods.MethodsThe robust BOO framework for IMPT was formulated with physical dose fidelity to provide accurate dose to the tumor and limit dose to organs at risk (OARs), a heterogeneity-weighted L2,1/2-norm group sparsity term to reduce the number of active beams to 2-4, and a sensitivity regularization term. The dose fidelity term was updated to consider variable RBE values, lower oxygenation status in tumor regions, and the normal tissue sparing effects caused by high dose rate. These biologically-informed BOO frameworks were solved with RBE and dose rate linearization along with splitting schemes. The plans were generally tested on challenging head-and-neck (H&N) cases and compared against previous plans in terms of dosimetry and robustness. ResultsCompared to IMPT BOO plans solved with constant RBE=1.1, McNamara RBE-based dose was able to improve OAR [Dmean, Dmax, worst Dmean, worst Dmax] by an average of [36.1%, 26.4%, 25.0%, 19.2%] with modest CTV coverage and robustness improvement. Additionally, hypoxia-based RBE dose fidelity was able to increase tumor [HI, Dmax, worst HI, worst Dmax] by [31.3%, 48.6%, 12.5%, 7.3%] with only [8.0%, 13.1%] increase in OAR [Dmean, Dmax], increasing the therapeutic index. Next, compared to spread-out Bragg peak IMPT BOO plans, dose rate-optimized plans with Bragg peak and shoot-through beams combined were able to increase volume of ROIs receiving 40 Gy/s by approximately 41.1%, while improving CTV homogeneity by 5.6% and improving OAR dose in several structures. ConclusionsNovel optimization methods were developed for biologically-guided IMPT. The objective function integrates RBE-weighted dose, hypoxia-informed dose, and dose rate optimization into a unified framework with BOO as the baseline objective. Compared with the physical dose BOO or manual selection, our method generates plans with superior tumor and normal tissue dosimetry and robustness.
■590 ▼aSchool code: 0031.
■650 4▼aMedicine
■650 4▼aNuclear physics
■650 4▼aBiology
■650 4▼aPhysics
■653 ▼aBeam orientation optimization
■653 ▼aIntensity-Modulated Proton Therapy
■653 ▼aRelative biological effectiveness
■653 ▼aOxygen enhancement ratio
■690 ▼a0756
■690 ▼a0564
■690 ▼a0306
■690 ▼a0605
■71020▼aUniversity of California, Los Angeles▼bPhysics and Biology in Medicine 009Y.
■7730 ▼tDissertations Abstracts International▼g85-09B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160582▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
