Multiple-CT optimization of intensity-modulated proton therapy - Is it possible to eliminate adaptive planning?

被引:24
|
作者
Wang, Xianliang [1 ,2 ,3 ]
Li, Heng [1 ]
Zhu, Xiaorong Ronald [1 ]
Hou, Qing [2 ]
Liao, Li [4 ]
Jiang, Bo [5 ]
Li, Yupeng [1 ]
Wang, Pei [3 ]
Lang, Jinyi [3 ]
Zhang, Xiaodong [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, 1840 Old Spanish Trail, Houston, TX 77030 USA
[2] Sichuan Univ, Inst Nucl Sci & Technol, Key Lab Radiat Phys & Technol, Chengdu, Sichuan, Peoples R China
[3] Sichuan Canc Hosp & Inst, Dept Radiat Oncol, Chengdu, Sichuan, Peoples R China
[4] Global Oncol One, Houston, TX USA
[5] Tianjin Med Univ Canc Inst & Hosp, Dept Radiotherapy, Tianjin, Peoples R China
关键词
Multiple CT optimization; Robust optimization; Adaptive planning; Intensity-modulated proton therapy; LUNG-CANCER; TREATMENT UNCERTAINTIES; ROBUST OPTIMIZATION; RADIATION ONCOLOGY; SENSITIVITY; MOTION; PLANS; MITIGATION; RANGE;
D O I
10.1016/j.radonc.2017.09.032
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and purpose: We hypothesized that a plan's robustness to anatomical changes can be improved by optimizing with multiple CT scans of a patient. The purpose of this study was to determine whether an intensity modulated proton therapy (IMPT) plan could be developed to meet dose criteria on both planning and adaptive CT plans. Material and methods: Eight lung cancer patients who underwent adaptive IMPT were retrospectively selected. Each patient had two CTs: a primary planning CT (PCT) and an adaptive planning CT (ACT), and IMPT plans associated with the scans. PCT and ACT were then used in combination to optimize one plan (MCT plan). The doses to the target and organs at risk from the PCT plan, ACT plan, P-ACT plan (PCT plan calculated on ACT data), and MCT plans calculated on both CTs were compared. Results: The MCT plan maintained the D95% on both CTs (mean, 65.99 Gy on PCT and 66.02 Gy on ACT). Target dose coverage on ACT was significantly better with the MCT plan than with the P-ACT plan (p = 0.01). MCT plans had slightly higher lung V20 (0.6%, p = 0.02) than did PCT plans. The various plans showed no statistically significant difference in heart and spinal cord dose. Conclusions: The results of this study indicate that an IMPT plan can meet the dose criteria on both PCT and ACT, and that MCT optimization can improve the plan's robustness to anatomical change. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:167 / 173
页数:7
相关论文
共 50 条
  • [31] Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy
    Wahl, N.
    Hennig, P.
    Wieser, H. P.
    Bangert, M.
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (14) : 5790 - 5807
  • [32] Statistical evaluation of worst-case robust optimization intensity-modulated proton therapy plans using an exhaustive sampling approach
    Yang, Zhiyong
    Li, Heng
    Li, Yupeng
    Li, Yuting
    Chang, Yu
    Li, Qin
    Yang, Kunyu
    Wu, Gang
    Sahoo, Narayan
    Poenisch, Falk
    Gillin, Michael
    Zhu, X. Ronald
    Zhang, Xiaodong
    RADIATION ONCOLOGY, 2019, 14 (1)
  • [33] Robust intensity-modulated proton therapy to reduce high linear energy transfer in organs at risk
    An, Yu
    Shan, Jie
    Patel, Samir H.
    Wong, William
    Schild, Steven E.
    Ding, Xiaoning
    Bues, Martin
    Liu, Wei
    MEDICAL PHYSICS, 2017, 44 (12) : 6138 - 6147
  • [34] Robust optimization to reduce the impact of biological effect variation from physical uncertainties in intensity-modulated proton therapy
    Bai, Xuemin
    Lim, Gino
    Grosshans, David
    Mohan, Radhe
    Cao, Wenhua
    PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (02)
  • [35] Probability of normal tissue complications for hematologic and gastrointestinal toxicity in postoperative whole pelvic radiotherapy for gynecologic malignancies using intensity-modulated proton therapy with robust optimization
    Yoshimura, Takaaki
    Yamada, Ryota
    Kinoshita, Rumiko
    Matsuura, Taeko
    Kanehira, Takahiro
    Tamura, Hiroshi
    Nishioka, Kentaro
    Yasuda, Koichi
    Taguchi, Hiroshi
    Katoh, Norio
    Kobashi, Keiji
    Hashimoto, Takayuki
    Aoyama, Hidefumi
    JOURNAL OF RADIATION RESEARCH, 2024, 65 (03) : 369 - 378
  • [36] The rationale for intensity-modulated proton therapy in geometrically challenging cases
    Safai, S.
    Trofimov, A.
    Adams, J. A.
    Engelsman, M.
    Bortfeld, T.
    PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (18) : 6337 - 6353
  • [37] Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions
    Zaghian, Maryam
    Cao, Wenhua
    Liu, Wei
    Kardar, Laleh
    Randeniya, Sharmalee
    Mohan, Radhe
    Lim, Gino
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2017, 18 (02): : 15 - 25
  • [38] Fraction-variant beam orientation optimization for intensity-modulated proton therapy
    Gu, Wenbo
    O'Connor, Daniel
    Ruan, Dan
    Zou, Wei
    Dong, Lei
    Sheng, Ke
    MEDICAL PHYSICS, 2020, 47 (09) : 3826 - 3834
  • [39] Knowledge-based intensity-modulated proton planning for gastroesophageal carcinoma
    Celik, Eren
    Baues, Christian
    Claus, Karina
    Fogliata, Antonella
    Scorsetti, Marta
    Marnitz, Simone
    Cozzi, Luca
    ACTA ONCOLOGICA, 2021, 60 (03) : 285 - 292
  • [40] Hyperfractionated intensity-modulated proton therapy for pharyngeal cancer with variable relative biological effectiveness: A simulation study
    Kasamatsu, Koki
    Matsuura, Taeko
    Yasuda, Koichi
    Miyazaki, Koichi
    Takao, Seishin
    Tamura, Masaya
    Otsuka, Manami
    Uchinami, Yusuke
    Aoyama, Hidefumi
    MEDICAL PHYSICS, 2022, 49 (12) : 7815 - 7825