期刊论文详细信息
Radiation Oncology
Application of failure mode and effects analysis to treatment planning in scanned proton beam radiotherapy
Viviana Vitolo4  Ivan Veronese2  Marco Schwarz3  Roberto Orecchia5  Silvia Molinelli4  Marco Krengli6  Stefano Lorentini1  Piero Fossati5  Francesco Dionisi1  Mario Ciocca4  Marie Claire Cantone2 
[1] Agenzia Provinciale per la Protonterapia, Trento, Italy;Dipartimento di Fisica, Università degli Studi di Milano, Via Celoria 16, 20133, Milano, Italy;Azienda Provinciale per i Servizi Sanitari, Trento, Italy;Centro Nazionale di Adroterapia Oncologica (CNAO Foundation), via Campeggi 53, 27100, Pavia, Italy;European Institute of Oncology, Università degli Studi di Milano, Milano, Italy;Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
关键词: Treatment planning;    Protons;    FMEA;    Accidental exposures;    Patient safety;    Risk assessment;   
Others  :  1153877
DOI  :  10.1186/1748-717X-8-127
 received in 2012-11-28, accepted in 2013-05-19,  发布年份 2013
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【 摘 要 】

Background

A multidisciplinary and multi-institutional working group applied the Failure Mode and Effects Analysis (FMEA) approach to the actively scanned proton beam radiotherapy process implemented at CNAO (Centro Nazionale di Adroterapia Oncologica), aiming at preventing accidental exposures to the patient.

Methods

FMEA was applied to the treatment planning stage and consisted of three steps: i) identification of the involved sub-processes; ii) identification and ranking of the potential failure modes, together with their causes and effects, using the risk probability number (RPN) scoring system, iii) identification of additional safety measures to be proposed for process quality and safety improvement. RPN upper threshold for little concern of risk was set at 125.

Results

Thirty-four sub-processes were identified, twenty-two of them were judged to be potentially prone to one or more failure modes. A total of forty-four failure modes were recognized, 52% of them characterized by an RPN score equal to 80 or higher. The threshold of 125 for RPN was exceeded in five cases only. The most critical sub-process appeared related to the delineation and correction of artefacts in planning CT data. Failures associated to that sub-process were inaccurate delineation of the artefacts and incorrect proton stopping power assignment to body regions. Other significant failure modes consisted of an outdated representation of the patient anatomy, an improper selection of beam direction and of the physical beam model or dose calculation grid. The main effects of these failures were represented by wrong dose distribution (i.e. deviating from the planned one) delivered to the patient. Additional strategies for risk mitigation, easily and immediately applicable, consisted of a systematic information collection about any known implanted prosthesis directly from each patient and enforcing a short interval time between CT scan and treatment start. Moreover, (i) the investigation of dedicated CT image reconstruction algorithms, (ii) further evaluation of treatment plan robustness and (iii) implementation of independent methods for dose calculation (such as Monte Carlo simulations) may represent novel solutions to increase patient safety.

Conclusions

FMEA is a useful tool for prospective evaluation of patient safety in proton beam radiotherapy. The application of this method to the treatment planning stage lead to identify strategies for risk mitigation in addition to the safety measures already adopted in clinical practice.

【 授权许可】

   
2013 Cantone et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Veronese I, Cantone MC, Chiodini N, Coray A, Fasoli M, Lomax A, Mones E, Moretti F, Vedda A: Feasibility study for the use of cerium-doped silica fibres in proton therapy. Radiat Meas 2010, 45:635-639.
  • [2]Veronese I, Cantone MC, Catalano M, Chiodini N, Fasoli M, Mancosu P, Mones E, Moretti F, Scorsetti M, Vedda A: Study of the radioluminescene spectra of doped silica optical fibre dosimeters for stem effect removal. J Phys D: Appl Phys 2013, 46:015101.
  • [3]Veronese I, Cantone MC, Chiodini N, Fasoli M, Mones E, Moretti F, Vedda A: The influence of the stem effect in Eu-doped silica optical fibres. Radiat Meas 2013. http://dx.doi.org/10.1016/j.radmeas.2013.01.043 webcite
  • [4]Mancosu P, Cozzi L, Fogliata A, Lattuada P, Reggiori G, Cantone MC, Navarria P, Scorsetti M: Collimator angle influence on dose distribution optimization for vertebral metastases using volumetric modulated arc therapy. Med Phys 2010, 37:4133-4137.
  • [5]Reggiori G, Mancosu P, Tozzi A, Cantone MC, Castiglioni S, Lattuada P, Lobefalo F, Cozzi L, Fogliata A, Navarria P, Scorsetti M: Cone beam CT pre- and post- daily treatment fot assessing geometrical and dosimetric intrafraction variability during radiotherapy of prostate cancer. J Appl Clin Med Phys 2011, 12:141-152.
  • [6]World Health Organization: Radiotherapy Risk Profile. Geneva: WHO/IER/PSP/2008.12; 2008.
  • [7]International Atomic Energy Agency: Lessons learned from accidents in radiotherapy. Vienna: IAEA (Safety Reports Series 17); 2000.
  • [8]International Commission on Radiological Protection: Preventing Accidental Exposures from New External Beam Radiation Therapy Technologies. Elsevier; 2009. [ICRP Publication 112, Annals of the ICRP 39 (4)]
  • [9]Ford EC, Gaudette R, Myers L, Vanderver B, Engineer L, Zellars R, Song DY, Wong J, DeWeese TL: Evaluation of safety in radiation oncology setting using failure mode and effects analysis. Int J Radiat Oncol Biol Phys 2009, 74:852-858.
  • [10]Ekaette EU, Lee RC, Cooke DL, Iftody S, Craighead P: Probabilistic fault tree analysis of a radiation treatment system. Risk Anal 2007, 27:1395-1410.
  • [11]Ciocca M, Cantone MC, Veronese I, Cattani F, Petroli G, Molinelli S, Vitolo V, Orecchia R: Application of failure mode and effect analysis to intraoperative radiation therapy using mobile electron linear accelerators. Int J Radiat Oncol Biol Phys 2012, 82:e305-e311.
  • [12]Perks JR, Stanic S, Stern RL, Henk B, Nelson MS, Harse Mathai M, Purdy J, Valicenti RK, Siefkin AD, Chen AM: Failure mode and effect analysis for delivery of lung stereotactic body radiation therapy. Int J Radiat Oncol Biol Phys 2012, 83:1324-1329.
  • [13]Sawant A, Dieterich S, Svatos M, Keall P: Failure mode and effect analysis-based quality assurance for dynamic MLC tracking systems. Med Phys 2010, 37:6466-6479.
  • [14]Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Medin PM, Mundt A, Mutic S, Palta JR, Thomadsen BR, Williamson JF, Yorke ED: A method for evaluating quality assurance needs in radiation therapy. Int J Radiat Oncol Biol Phys 2008, 71(Suppl):S170-S173.
  • [15]Rossi S: The status of CNAO Eur Phys J Plus. 2011, 126:78.
  • [16]Orecchia R, Fossati P, Rossi S: The national center for oncological hadron therapy: status of the project and future clinical use of the facility. Tumori 2009, 95:169-176.
  • [17]Giordanengo S, Donetti M, Garella MA, Marchetto F, Alampi G, Ansarinejad A, Monaco V, Mucchi M, Pecka IA, Peroni C, Sacchi R, Scalise M, Tomba C, Cirio R: Design and characterization of the beam monitor detectors of the Italian National Center of Oncological Hadron-therapy (CNAO). Nucl Instrum Meth A 2013, 698:202-207.
  • [18]Lomax A: Intensity modulation methods for proton radiotherapy. Phys Med Biol 1999, 44:185-205.
  • [19]Bert C, Durante M: Motion in radiotherapy: particle therapy. Phys Med Biol 2011, 56:R113-R144.
  • [20]Albertini F, Casiraghi M, Lorentini S, Rombi B, Lomax AJ: Experimental verification of IMPT treatment plans in an anthropomorphic phantom in the presence of delivery uncertainties. Phys Med Biol 2011, 56:4415-4431.
  • [21]Unkelbach J, Bortfeld T, Martin BC, Soukup M: Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning. Med Phys 2009, 36:149-163.
  • [22]Fredriksson A, Forsgren A, Hardemark B: Minimax optimization for handling range and setup uncertainties in proton therapy. Med Phys 2011, 38:1672-1684.
  • [23]Paganetti H: Range uncertainties in proton therapy and the role of Monte Carlo simulations. Phys Med Biol 2012, 57:R99-R117.
  • [24]Pflugfelder D, Wilkens JJ, Oelfke U: Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2008, 53:1689-1700.
  • [25]Chen W, Unkelbach J, Trofimov A, Madden T, Kooy H, Bortfeld T, Craft D: Including robustness in multi-criteria optimization for intensity-modulated proton therapy. Phys Med Biol 2012, 57:591-608.
  • [26]Albertini F, Hug EB, Lomax AJ: The influence of the optimization starting conditions in the robustness of intensity-modulated proton therapy plans. Phys Med Biol 2010, 55:2863-2878.
  • [27]Parodi K, Mairani A, Brons S, Hasch BG, Sommerer F, Naumann J, Jäkel O, Haberer T, Debus J: Monte Carlo simulations to support start-up and treatment planning of scanned proton and carbon ion therapy at a synchrotron-based facility. Phys Med Biol 2012, 57:3759-3784.
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