FMEA of manual and automated methods for commissioning a radiotherapy treatment planning system

Amy Wexler, Bruce Gu, Sreekrishna Goddu, Maya Mutic, Sridhar Yaddanapudi, Lindsey Olsen, Taylor Harry, Camille Noel, Todd Pawlicki, Sasa Mutic, Bin Cai

    Research output: Contribution to journalArticlepeer-review

    8 Scopus citations

    Abstract

    Purpose: To evaluate the level of risk involved in treatment planning system (TPS) commissioning using a manual test procedure, and to compare the associated process-based risk to that of an automated commissioning process (ACP) by performing an in-depth failure modes and effects analysis (FMEA). Methods: The authors collaborated to determine the potential failure modes of the TPS commissioning process using (a) approaches involving manual data measurement, modeling, and validation tests and (b) an automated process utilizing application programming interface (API) scripting, preloaded, and premodeled standard radiation beam data, digital heterogeneous phantom, and an automated commissioning test suite (ACTS). The severity (S), occurrence (O), and detectability (D) were scored for each failure mode and the risk priority numbers (RPN) were derived based on TG-100 scale. Failure modes were then analyzed and ranked based on RPN. The total number of failure modes, RPN scores and the top 10 failure modes with highest risk were described and cross-compared between the two approaches. RPN reduction analysis is also presented and used as another quantifiable metric to evaluate the proposed approach. Results: The FMEA of a MTP resulted in 47 failure modes with an RPNave of 161 and Save of 6.7. The highest risk process of "Measurement Equipment Selection" resulted in an RPNmax of 640. The FMEA of an ACP resulted in 36 failure modes with an RPNave of 73 and Save of 6.7. The highest risk process of "EPID Calibration" resulted in an RPNmax of 576. Conclusions: An FMEA of treatment planning commissioning tests using automation and standardization via API scripting, preloaded, and pre-modeled standard beam data, and digital phantoms suggests that errors and risks may be reduced through the use of an ACP.

    Original languageEnglish
    Pages (from-to)4415-4425
    Number of pages11
    JournalMedical physics
    Volume44
    Issue number9
    DOIs
    StatePublished - Sep 2017

    Keywords

    • FMEA
    • automation
    • standardization
    • treatment planning commissioning

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