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Integrative Optimization With Clinically Feasible Catheter Insertion for High Dose Rate Prostate Brachytherapy
Integrative Optimization With Clinically Feasible Catheter Insertion for High Dose Rate Prostate Brachytherapy
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103625
- ISBN
- 9798315798484
- DDC
- 530
- 서명/저자
- Integrative Optimization With Clinically Feasible Catheter Insertion for High Dose Rate Prostate Brachytherapy
- 발행사항
- [Sl] : University of California, Los Angeles, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 137 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Sheng, Ke;Ruan, Dan.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2025.
- 초록/해제
- 요약PurposeHigh dose rate (HDR) prostate brachytherapy (BT) outcomes are highly dependent on source location, dictated by catheter placement. Currently, this is guided by physician expertise. Preplanning catheter locations can improve plan quality but is often constrained by a limited solution space. To fully realize its potential, novel and computationally complex optimization methods are needed.MethodsTwo integrated treatment planning systems with catheter location optimization were developed. The first used a selective analytical method with a group sparsity term, jointly optimizing dwell times and selecting catheter locations from a candidate set, enabling exploration of multi-source energy planning to directly compare Ir-192 and Yb-169, as well as investigation of variable catheter insertion angles to approximate the full range of feasible trajectories and reduce the number of treatment catheters.The second approach was a generative block optimization framework, which iteratively optimized dwell times for dosimetry and dwell position sparsity, catheter assignments via graph cuts, catheter trajectories with spline fitting, and dwell positions using distance-to-curve minimization. The cyclical structure enabled information sharing between blocks while maintaining tractable solutions for each set of variables. Both methods were tested on retrospective HDR BT prostate patients.ResultsFor source energy comparison, Ir-192 was ubiquitously selected due to lower urethra D0.1cc and D1cc values and smaller bladder and rectum V75% compared to Yb-169. The angled catheter study showed that optimized plans with as few as N-6 catheters resulted in moderate but clinically acceptable increases in CTV and OAR metrics compared to N catheter plans. The generative block algorithm successfully produced clinically acceptable plans with feasible curved catheter trajectories for all patients.ConclusionsThe proposed selective analytical HDR planning algorithm integrates catheter selection with dwell time optimization to evaluate multi-source energy treatment planning and variable catheter insertion angles. This can be used to guide complex angled HDR implants, evaluate tradeoffs between number of treatment catheters and plan quality, and identify promising isotopes for specific HDR clinical goals. The generative block HDR planning algorithm is an unprecedented approach towards preplanning, allowing for curved catheter trajectories that can be integrated with emerging technologies such as robotically controlled steerable catheters.
- 일반주제명
- Physics
- 일반주제명
- Medicine
- 일반주제명
- Biology
- 키워드
- Brachytherapy
- 키워드
- Optimization
- 기타저자
- University of California, Los Angeles Physics and Biology in Medicine 009Y
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017357972
■00520260202103625
■006m o d
■007cr#unu||||||||
■020 ▼a9798315798484
■035 ▼a(MiAaPQ)AAI32046207
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a530
■1001 ▼aFrank, Catherine Holland.
■24510▼aIntegrative Optimization With Clinically Feasible Catheter Insertion for High Dose Rate Prostate Brachytherapy
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a137 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Sheng, Ke;Ruan, Dan.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2025.
■520 ▼aPurposeHigh dose rate (HDR) prostate brachytherapy (BT) outcomes are highly dependent on source location, dictated by catheter placement. Currently, this is guided by physician expertise. Preplanning catheter locations can improve plan quality but is often constrained by a limited solution space. To fully realize its potential, novel and computationally complex optimization methods are needed.MethodsTwo integrated treatment planning systems with catheter location optimization were developed. The first used a selective analytical method with a group sparsity term, jointly optimizing dwell times and selecting catheter locations from a candidate set, enabling exploration of multi-source energy planning to directly compare Ir-192 and Yb-169, as well as investigation of variable catheter insertion angles to approximate the full range of feasible trajectories and reduce the number of treatment catheters.The second approach was a generative block optimization framework, which iteratively optimized dwell times for dosimetry and dwell position sparsity, catheter assignments via graph cuts, catheter trajectories with spline fitting, and dwell positions using distance-to-curve minimization. The cyclical structure enabled information sharing between blocks while maintaining tractable solutions for each set of variables. Both methods were tested on retrospective HDR BT prostate patients.ResultsFor source energy comparison, Ir-192 was ubiquitously selected due to lower urethra D0.1cc and D1cc values and smaller bladder and rectum V75% compared to Yb-169. The angled catheter study showed that optimized plans with as few as N-6 catheters resulted in moderate but clinically acceptable increases in CTV and OAR metrics compared to N catheter plans. The generative block algorithm successfully produced clinically acceptable plans with feasible curved catheter trajectories for all patients.ConclusionsThe proposed selective analytical HDR planning algorithm integrates catheter selection with dwell time optimization to evaluate multi-source energy treatment planning and variable catheter insertion angles. This can be used to guide complex angled HDR implants, evaluate tradeoffs between number of treatment catheters and plan quality, and identify promising isotopes for specific HDR clinical goals. The generative block HDR planning algorithm is an unprecedented approach towards preplanning, allowing for curved catheter trajectories that can be integrated with emerging technologies such as robotically controlled steerable catheters.
■590 ▼aSchool code: 0031.
■650 4▼aPhysics
■650 4▼aMedicine
■650 4▼aBiology
■653 ▼aBrachytherapy
■653 ▼aCatheter preplanning
■653 ▼aOptimization
■653 ▼aTreatment planning
■690 ▼a0605
■690 ▼a0564
■690 ▼a0306
■71020▼aUniversity of California, Los Angeles▼bPhysics and Biology in Medicine 009Y.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357972▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
