Risk Analysis Based on Failure Modes and Effect Analysis for the IGRT Process

Authors

  • Gabriela Alves Costa FMUSP
  • Victor Augusto Bertotti Ribeiro Departamento de Radiologia e Oncologia, Hospital das Clínicas HCFMUSP, São Paulo, Brasil
  • Laura Furnari Departamento de Radiologia e Oncologia, Hospital das Clínicas HCFMUSP, São Paulo, Brasil
  • Caroline Castilhano Bueno Departamento de Radiologia e Oncologia, Hospital das Clínicas HCFMUSP, São Paulo, Brasil https://orcid.org/0000-0002-3270-4112

DOI:

https://doi.org/10.29384/rbfm.2025.v19.19849001836

Keywords:

Risk Analysis, Failure Modes and Effect Analysis, FMEA, Image-Guided Radiation Therapy, IGRT

Abstract

Image-Guided Radiation Therapy is a positioning technique that enables precise verification of the region to be irradiated based on images obtained in the treatment room prior to the radiotherapy procedure and compared to reference images. Therefore, it is a highly recommended technique and it is necessary to guarantee its safe applicability. For this safety, the Failure Modes and Effect Analysis (FMEA) tool was used to perform the risk analysis in two centers. With the analysis, it was possible to perceive the importance of identifying the Failure Modes with the highest Risk Priority Number (RPN) and severity values ​​so that interventions could be proposed in order to obtain a mitigation of possible errors, in addition to the broad participation of the multidisciplinary team. The results obtained with the FMEA proved useful for the identification of the most probable errors in each of the institutions, being favorable for the quality assurance related to the IGRT process. However, it is of fundamental significance that its use is thoroughly understood in order to identify all the possible errors that may be involved and, in this way, deliver radiotherapy treatment with greater quality and efficiency.

Downloads

References

Fairbanks, L. R.; Furnari, L. Radioterapia Guiada por Imagem: Técnicas e Controle de Qualidade. Revista Brasileira de Física Médica, 2019.

Huq, M. S. et al. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management Medical Physics, 2016.

Teixeira FC, de Almeida CE, Saiful Huq M. Failure mode and effects analysis based risk profile assessment for stereotactic radiosurgery programs at three cancer centers in Brazil. Med Phys. 2016;43(1):171. doi:10.1118/1.4938065

Sarchosoglou AA, Papavasileiou P, Bakas A, Stasinou D, Pappas E. Failure modes in stereotactic radiosurgery. A narrative review. Radiography (Lond). 2022;28(4):999-1009. doi:10.1016/j.radi.2022.07.007

Stamatis DH. Failure mode and effect analysis: FMEA from theory to execution. 2nd ed. Milwaukee: ASQ Quality Press; 2003.

Ford EC, Smith K, Terezakis S, Croog V, Gollamudi S, Gage I, et al. A streamlined failure mode and effects analysis. Med Phys2014;41(6Part1):061709https://doi.org/10.1118/1.487568

Warnick RE, Lusk AR, Thaman JJ, Levick EH, Seitz AD. Failure mode and effects analysis (FMEA) to enhance the safety and efficiency of Gamma Knife radiosurgery. J Radiosurg SBRT. 2020;7(2):115-125.

Ford E, Dieterich S. Safety Considerations in Stereotactic Body Radiation Therapy. Semin Radiat Oncol. 2017;27(3):190-196. doi:10.1016/j.semradonc.2017.02.003

Xu AY, Bhatnagar J, Bednarz G, Flickinger J, Arai Y, Vacsulka J, et al. Failure modes and effects analysis (FMEA) for Gamma Knife radiosurgery. J Appl ClinMed Phys 2017;18(6):152e68.

Manger, R.P., Paxton, A.B., Pawlicki, T. and Kim, G.-Y. (2015), Failure mode and effects analysis and fault tree analysis of surface image guided cranial radiosurgery. Med. Phys., 42: 2449-2461.

ICRU. ICRU Report 62 - 1999 - Prescribing, Recording and Reporting Photon Beam Therapy (Supplement to ICRU Report 50) Journal of ICRU. [s.l: s.n.].

Published

2025-06-26

How to Cite

Alves Costa, G., Bertotti Ribeiro, V. A., Furnari, L., & Castilhano Bueno, C. (2025). Risk Analysis Based on Failure Modes and Effect Analysis for the IGRT Process. Brazilian Journal of Medical Physics, 19, 836. https://doi.org/10.29384/rbfm.2025.v19.19849001836

Issue

Section

Artigo Original

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 > >>