Reply to Comment on 'Linear energy transfer incorporated intensity modulated proton therapy optimization'

被引:0
作者
Cao, Wenhua [1 ]
Khabazian, Azin [2 ]
Yepes, Pablo [1 ,3 ]
Lim, Gino [2 ]
Poenisch, Falk [1 ]
Grosshans, David [4 ]
Mohan, Radhe [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX 77030 USA
[2] Univ Houston, Dept Ind Engn, Houston, TX 77204 USA
[3] Rice Univ, Dept Phys & Astron, Houston, TX 77005 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA
关键词
intensity modulated proton therapy; linear energy tranfer; optimization; GLOBAL OPTIMIZATION; SUM; ALGORITHM;
D O I
10.1088/1361-6560/aaff72
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this reply we present additional description of our linear model for LET optimization in response to the comments by Dr Gorissen. We clarify that this model cannot guarantee global optimal solutions to the sum-of-fractions problem. Based on our data, it could be used to optimize LET efficiently while dose constraints are maintained.
引用
收藏
页数:2
相关论文
共 50 条
  • [41] A dosimetric and robustness analysis of proton arc therapy with early energy layer and spot assignment for lung cancer versus conventional intensity modulated proton therapy
    Chocan, Macarena S.
    Wuyckens, Sophie
    Dasnoy, Damien
    Di Perri, Dario
    Villarruel, Elena Borderias
    Engwall, Erik
    Lee, John A.
    Barragan-Montero, Ana M.
    Sterpin, Edmond
    [J]. ACTA ONCOLOGICA, 2024, 63 : 805 - 815
  • [42] Intensity modulated proton therapy plan generation in under ten seconds
    Matter, Michael
    Nenoff, Lena
    Meier, Gabriel
    Weber, Damien C.
    Lomax, Antony J.
    Albertini, Francesca
    [J]. ACTA ONCOLOGICA, 2019, 58 (10) : 1435 - 1439
  • [43] The role of image-guided intensity modulated proton therapy in glioma
    Grosshans, David R.
    Mohan, Radhe
    Gondi, Vinai
    Shih, Helen A.
    Mahajan, Anita
    Brown, Paul D.
    [J]. NEURO-ONCOLOGY, 2017, 19 : 30 - 37
  • [44] The rationale for intensity-modulated proton therapy in geometrically challenging cases
    Safai, S.
    Trofimov, A.
    Adams, J. A.
    Engelsman, M.
    Bortfeld, T.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (18) : 6337 - 6353
  • [45] Mixed integer programming with dose-volume constraints in intensity-modulated proton therapy
    Zhang, Pengfei
    Fan, Neng
    Shan, Jie
    Schild, Steven E.
    Bues, Martin
    Liu, Wei
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2017, 18 (05): : 29 - 35
  • [46] Robustness evaluation of Intensity Modulated Proton Therapy plans using Dose Volume Population Histogram
    Nguyen, Thu T. C.
    Nguyen, Binh T.
    Mai, Nhon V.
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2019, 65 : 219 - 226
  • [47] Simultaneous reduction of number of spots and energy layers in intensity modulated proton therapy for rapid spot scanning delivery
    Fu, Anqi
    Taasti, Vicki T.
    Zarepisheh, Masoud
    [J]. MEDICAL PHYSICS, 2024, 51 (08) : 5722 - 5737
  • [48] Inverse Planning Optimization Method for Intensity Modulated Radiation Therapy
    Lan, Yihua
    Ren, Haozheng
    Li, Cunhua
    Min, Zhifang
    Wan, Jinxin
    Ma, Jianxin
    Hung, Chih-Cheng
    [J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2013, 12 (05) : 391 - 401
  • [49] Effect of breathing phase number on the 4D robust optimization for pancreatic cancer intensity modulated proton therapy
    Fan, Xiaoying
    Wang, Shuting
    Li, Weijie
    Li, Tengxiang
    Yin, Yong
    Dai, Tianyuan
    [J]. BMC CANCER, 2024, 24 (01)
  • [50] Anatomic changes in head and neck intensity-modulated proton therapy: Comparison between robust optimization and online adaptation
    Lalonde, Arthur
    Bobic, Mislav
    Winey, Brian
    Verburg, Joost
    Sharp, Gregory C.
    Paganetti, Harald
    [J]. RADIOTHERAPY AND ONCOLOGY, 2021, 159 : 39 - 47