Use of metrics to quantify IMRT and VMAT treatment plan complexity: A systematic review and perspectives

被引:64
作者
Antoine, Mikael [1 ,2 ]
Ralite, Flavien [2 ,3 ]
Soustiel, Charles [4 ]
Marsac, Thomas [2 ]
Sargos, Paul [2 ]
Cugny, Audrey [2 ]
Caron, Jerome [2 ]
机构
[1] Polyclin Bordeaux Nord, Serv Oncoradiotherapie, 15 Rue Claude Boucher, F-33000 Bordeaux, France
[2] Inst Bergonie, Comprehens Canc Ctr, Dept Radiotherapy, F-33000 Bordeaux, France
[3] Univ Nantes, CNRS, IN2P3, SUBATECH,IMT Atlantique, Nantes, France
[4] Ctr Hosp Dax, Dept Radiotherapy, Dax, France
来源
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | 2019年 / 64卷
关键词
Modulation indices; Plan complexity; Volumetric modulated arc therapy; MULTIINSTITUTIONAL DOSIMETRY AUDIT; RADIATION-THERAPY IMRT; MODULATED ARC THERAPY; QUALITY-ASSURANCE; MULTILEAF COLLIMATOR; APERTURE COMPLEXITY; MULTICENTER AUDIT; RADIOTHERAPY; INDEX; IMPLEMENTATION;
D O I
10.1016/j.ejmp.2019.05.024
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Fixed-field intensity modulated radiation therapy (FF-IMRT) or volumetric modulated arc therapy (VMAT) beams complexity is due to fluence fluctuation. Pre-treatment Quality Assurance (PTQA) failure could be linked to it. Several plan complexity metrics (PCM) have been published to quantify this complexity but in a heterogeneous formalism. This review proposes to gather different PCM and to discuss their eventual PTQA failure identifier abilities. Methods and materials: A systematic literature search and outcome extraction from MEDLINE/PubMed (National Center for Biotechnology Information, NCBI) was performed. First, a list and a synthesis of available PCM is made in a homogeneous formalism. Second, main results relying on the link between PCM and PTQA results but also on other uses are listed. Results: A total of 163 studies were identified and n = 19 were selected after inclusion and exclusion criteria application. Difference is made between fluence and degree of freedom (DOF)-based PCM. Results about the PCM potential as PTQA failure identifier are described and synthesized. Others uses are also found in quality, big data, machine learning and audit procedure. Conclusions: A state of the art is made thanks to this homogeneous PCM classification. For now, PCM should be seen as a planning procedure quality indicator although PTQA failure identifier results are mitigated. However limited clinical use seems possible for some cases. Yet, addressing the general PTQA failure prediction case could be possible with the big data or machine learning help.
引用
收藏
页码:98 / 108
页数:11
相关论文
共 68 条
  • [31] Clinical experience of SIB-IMRT in anal cancer and selective literature review
    Janssen, Stefan
    Glanzmann, Christoph
    Bauerfeind, Peter
    Stieb, Sonja
    Studer, Gabriela
    Brown, Michelle
    Riesterer, Oliver
    [J]. RADIATION ONCOLOGY, 2014, 9
  • [32] Correlation between gamma index passing rate and clinical dosimetric difference for pre-treatment 2D and 3D volumetric modulated arc therapy dosimetric verification
    Jin, X.
    Yan, H.
    Han, C.
    Zhou, Y.
    Yi, J.
    Xie, C.
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2015, 88 (1047)
  • [33] Multi-centre audit of VMAT planning and pre-treatment verification
    Jurado-Bruggeman, Diego
    Hernandez, Victor
    Saez, Jordi
    Navarro, David
    Pino, Francisco
    Martinez, Tatiana
    Alayrach, Maria-Elena
    Ailleres, Norbert
    Melero, Alejandro
    Jornet, Nuria
    [J]. RADIOTHERAPY AND ONCOLOGY, 2017, 124 (02) : 302 - 310
  • [34] Radiotherapeutic techniques for prostate cancer, dose escalation and brachytherapy
    Khoo, VS
    [J]. CLINICAL ONCOLOGY, 2005, 17 (07) : 560 - 571
  • [35] Task Group 142 report: Quality assurance of medical accelerators
    Klein, Eric E.
    Hanley, Joseph
    Bayouth, John
    Yin, Fang-Fang
    Simon, William
    Dresser, Sean
    Serago, Christopher
    Aguirre, Francisco
    Ma, Lijun
    Arjomandy, Bijan
    Liu, Chihray
    Sandin, Carlos
    Holmes, Todd
    [J]. MEDICAL PHYSICS, 2009, 36 (09) : 4197 - 4212
  • [36] DEMAT: A multi-institutional dosimetry audit of rotational and static intensity-modulated radiotherapy
    Lafond, Caroline
    Chiavassa, Sophie
    Bertaut, Cindy
    Boussion, Nicolas
    Chapel, Nathalie
    Chapron, Lucie
    Coste, Frederic
    Crespin, Sylvain
    Dy, Gilles
    Faye, Papa Abdoulaye
    Leleu, Cyril
    Bouvier, Jeanne
    Madec, Ludovic
    Mesgouez, Jerome
    Palisson, Jeremy
    Vela, Anthony
    Delpon, Gregory
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2016, 32 (05): : 664 - 670
  • [37] An adaptive planning strategy for station parameter optimized radiation therapy (SPORT): Segmentally boosted VMAT
    Li, Ruijiang
    Xing, Lei
    [J]. MEDICAL PHYSICS, 2013, 40 (05)
  • [38] Liberati A, 2009, BMJ-BRIT MED J, V339, DOI [10.1136/bmj.b2700, 10.1136/bmj.b2535, 10.1371/journal.pmed.1000097, 10.1016/j.ijsu.2010.02.007, 10.1016/j.ijsu.2010.07.299, 10.1136/bmj.i4086, 10.1186/2046-4053-4-1]
  • [39] Comparative behaviour of the Dynamically Penalized Likelihood algorithm in inverse radiation therapy planning
    Llacer, J
    Solberg, TD
    Promberger, C
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (10) : 2637 - 2663
  • [40] IMRT delivery performance with a varian multileaf collimator
    Losasso, Thomas
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 71 (01): : S85 - S88