Application of failure mode and effects analysis (FMEA) to pretreatment phases in tomotherapy

The aim of this paper was the application of the failure mode and effects analysis (FMEA) approach to assess the risks for patients undergoing radiotherapy treatments performed by means of a helical tomotherapy unit. FMEA was applied to the preplanning imaging, volume determination, and treatment planning stages of the tomotherapy process and consisted of three steps: 1) identification of the involved subprocesses; 2) identification and ranking of the potential failure modes, together with their causes and effects, using the risk probability number (RPN) scoring system; and 3) 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. A total of 74 failure modes were identified: 38 in the stage of preplanning imaging and volume determination, and 36 in the stage of planning. The threshold of 125 for RPN was exceeded in four cases: one case only in the phase of preplanning imaging and volume determination, and three cases in the stage of planning. The most critical failures appeared related to (i) the wrong or missing definition and contouring of the overlapping regions, (ii) the wrong assignment of the overlap priority to each anatomical structure, (iii) the wrong choice of the computed tomography calibration curve for dose calculation, and (iv) the wrong (or not performed) choice of the number of fractions in the planning station. On the basis of these findings, in addition to the safety strategies already adopted in the clinical practice, novel solutions have been proposed for mitigating the risk of these failures and to increase patient safety. PACS number: 87.55.Qr

[1]  Paul Keall,et al.  Failure mode and effect analysis-based quality assurance for dynamic MLC tracking systems. , 2010, Medical physics.

[2]  R. Orecchia,et al.  Application of failure mode and effects analysis to intraoperative radiation therapy using mobile electron linear accelerators. , 2012, International journal of radiation oncology, biology, physics.

[3]  Norberto Chiodini,et al.  Feasibility study for the use of cerium-doped silica fibres in proton therapy , 2010 .

[4]  Pietro Mancosu,et al.  Cone beam CT pre‐ and post‐daily treatment for assessing geometrical and dosimetric intrafraction variability during radiotherapy of prostate cancer , 2010, Journal of applied clinical medical physics.

[5]  Riccardo Calandrino,et al.  Results of a two-year quality control program for a helical tomotherapy unit. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[6]  Norberto Chiodini,et al.  Study of the radioluminesence spectra of doped silica optical fibre dosimeters for stem effect removal , 2013 .

[7]  Eric C Ford,et al.  Evaluation of safety in a radiation oncology setting using failure mode and effects analysis. , 2009, International journal of radiation oncology, biology, physics.

[8]  David L. Cooke,et al.  Probabilistic Fault Tree Analysis of a Radiation Treatment System , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[9]  Benedick A Fraass,et al.  A method for evaluating quality assurance needs in radiation therapy. , 2008, International journal of radiation oncology, biology, physics.

[10]  Julian R Perks,et al.  Failure mode and effect analysis for delivery of lung stereotactic body radiation therapy. , 2012, International journal of radiation oncology, biology, physics.

[11]  Roberto Orecchia,et al.  Application of failure mode and effects analysis to treatment planning in scanned proton beam radiotherapy , 2013, Radiation Oncology.

[12]  L. Begnozzi,et al.  Prospective approaches for risk analysis in modern radiotherapy: the Italian experience and the contribution of medical physicists , 2014 .

[13]  C Hoeschen,et al.  Minimising activity and dose with enhanced image quality by radiopharmaceutical administrations. , 2010, Radiation protection dosimetry.

[14]  Pietro Mancosu,et al.  Collimator angle influence on dose distribution optimization for vertebral metastases using volumetric modulated arc therapy. , 2010, Medical physics.

[15]  Norberto Chiodini,et al.  The influence of the stem effect in Eu-doped silica optical fibres , 2013 .

[16]  C. H. Clement,et al.  Preventing Accidental Exposures from New External Beam Radiation Therapy Technologies , 2009 .

[17]  Stine Korreman,et al.  The European Society of Therapeutic Radiology and Oncology-European Institute of Radiotherapy (ESTRO-EIR) report on 3D CT-based in-room image guidance systems: a practical and technical review and guide. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[18]  W. Grant,et al.  QA for helical tomotherapy: report of the AAPM Task Group 148. , 2010, Medical physics.