Mathematical Modelling for Patient Selection in Proton Therapy

被引：13
|
作者：
Mee, T. [1 ,2 ,3 ]
Kirkby, N. F. [1 ,2 ,3 ]
Kirkby, K. J. [1 ,2 ,3 ]
机构：
[1] Univ Manchester, Fac Biol Med & Hlth, Sch Med Sci, Div Canc Sci, Manchester, Lancs, England
[2] Christie NHS Fdn Trust, Manchester, Lancs, England
[3] Univ Manchester, Manchester Acad Hlth Sci Ctr, NIHR Manchester Biomed Res Ctr, Manchester, Lancs, England
来源：
CLINICAL ONCOLOGY | 2018年 / 30卷 / 05期
基金：
英国工程与自然科学研究理事会;
关键词：
Discrete event simulation; mathematical modelling; NTCP; patient selection; proton therapy; DISCRETE-EVENT SIMULATION; TUBE-FEEDING DEPENDENCE; COST-EFFECTIVENESS; NORMAL TISSUE; RADIOTHERAPY UTILIZATION; PARTICLE RADIOTHERAPY; CLINICAL-OUTCOMES; RADIATION-THERAPY; MODALITY THERAPY; MALTHUS PROGRAM;
D O I：
10.1016/j.clon.2018.01.007
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Proton beam therapy (PBT) is still relatively new in cancer treatment and the clinical evidence base is relatively sparse. Mathematical modelling offers assistance when selecting patients for PBT and predicting the demand for service. Discrete event simulation, normal tissue complication probability, quality- adjusted life-years and Markov Chain models are all mathematical and statistical modelling techniques currently used but none is dominant. As new evidence and outcome data become available from PBT, comprehensive models will emerge that are less dependent on the specific technologies of radiotherapy planning and delivery. (C) 2018 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：299 / 306
页数：8
相关论文
共 50 条
  • [21] Selection and mathematical modelling of high efficiency air classifiers
    Altun, Okay
    Benzer, Hakan
    POWDER TECHNOLOGY, 2014, 264 : 1 - 8
  • [22] Mathematical Modelling of Cation Contamination in a Proton-exchange Membrane
    Weber, A. Z.
    Delacourt, C.
    FUEL CELLS, 2008, 8 (06) : 459 - 465
  • [23] Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against myeloproliferative neoplasms
    Hermange, Gurvan
    Vainchenker, William
    Plo, Isabelle
    Cournede, Paul-Henry
    MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA, 2024, 41 (02): : 110 - 134
  • [24] Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis
    Austin, Annabelle M.
    Douglass, Michael J. J.
    Nguyen, Giang T.
    Penfold, Scott N.
    PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE, 2020, 43 (02) : 493 - 503
  • [25] A study of RBE and NTCP uncertainties underlying model-based patient selection to proton therapy
    Fly, S. N.
    Pedersen, J.
    Petersen, J. B.
    Stokkevag, C. H.
    Muren, L. P.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S1053 - S1053
  • [26] Patient selection for proton therapy of early breast cancer - the DBCG phase II study strategy
    Stick, L. B.
    Lorenzen, E. L.
    Yates, E. S.
    Anandadas, C.
    Andersen, K.
    Aristei, C.
    Byrne, O.
    Hol, S.
    Jensen, I.
    Kirby, A.
    Kirova, Y. M.
    Marrazzo, L.
    Matias-Perez, A.
    Nielsen, M. M. B.
    Nissen, H. D.
    Oliveros, S.
    Verhoeven, K.
    Vikstrom, J.
    Offersen, B. V.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S15 - S17
  • [27] Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis
    Annabelle M. Austin
    Michael J. J. Douglass
    Giang T. Nguyen
    Scott N. Penfold
    Physical and Engineering Sciences in Medicine, 2020, 43 : 493 - 503
  • [28] Feasibility of acute hematologic toxicity model-based patient selection for proton beam therapy
    Liu, P.
    Cao, X.
    Gao, X.
    Shang, S.
    Liu, J.
    Wang, Z.
    Ding, X.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S1284 - S1285
  • [29] PATIENT SELECTION FOR THROMBOLYTIC THERAPY
    WASSERMAN, AG
    ROSS, AM
    AMERICAN JOURNAL OF CARDIOLOGY, 1989, 64 (04): : B17 - B21
  • [30] Proton therapy in the pregnant patient Reply
    Dupere, Justine M.
    Lucido, John J.
    Breen, William G.
    Mahajan, Anita
    Remmes, Nicholas B.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 119 (01): : 307 - 308
12345