Multi-institutional application of Failure Mode and Effects Analysis (FMEA) to CyberKnife Stereotactic Body Radiation Therapy (SBRT)

被引:51
|
作者
Veronese, Ivan [1 ]
De Martin, Elena [2 ]
Martinotti, Anna Stefania [3 ]
Fumagalli, Maria Luisa [2 ]
Vite, Cristina [3 ]
Redaelli, Irene [3 ]
Malatesta, Tiziana [4 ]
Mancosu, Pietro [5 ]
Beltramo, Giancarlo [3 ]
Fariselli, Laura [6 ]
Cantone, Marie Claire [1 ]
机构
[1] Univ Milan, Dipartimento Fis, I-20133 Milan, Italy
[2] UO Direzione Sanitaria, Fdn IRCCS Ist Neurol Carlo Besta Milan, Milan, Italy
[3] Reparto Cyberknife, Ctr Diagnostico Italiano, Milan, Italy
[4] UOC Fis Sanitaria AFAR, Osped San Giovanni Calibita Fatebenefratelli, Rome, Italy
[5] Ist Clin Humanitas, Reparto Radioterapia Oncolog, Milan, Italy
[6] Fdn IRCCS Ist Neurol Carlo Besta Milan, Unita Radioterapia, Milan, Italy
来源
RADIATION ONCOLOGY | 2015年 / 10卷
关键词
FMEA; SBRT; CyberKnife; Tracking; Liver; Spine; PROSTATE-CANCER; RADIOSURGERY; RADIOTHERAPY; EXPERIENCE; LESIONS;
D O I
10.1186/s13014-015-0438-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: A multidisciplinary and multi-institutional working group applied the Failure Mode and Effects Analysis (FMEA) approach to assess the risks for patients undergoing Stereotactic Body Radiation Therapy (SBRT) treatments for lesions located in spine and liver in two CyberKnife (R) Centres. Methods: The various sub-processes characterizing the SBRT treatment were identified to generate the process trees of both the treatment planning and delivery phases. This analysis drove to the identification and subsequent scoring of the potential failure modes, together with their causes and effects, using the risk probability number (RPN) scoring system. Novel solutions aimed to increase patient safety were accordingly considered. Results: The process-tree characterising the SBRT treatment planning stage was composed with a total of 48 sub-processes. Similarly, 42 sub-processes were identified in the stage of delivery to liver tumours and 30 in the stage of delivery to spine lesions. All the sub-processes were judged to be potentially prone to one or more failure modes. Nineteen failures (i.e. 5 in treatment planning stage, 5 in the delivery to liver lesions and 9 in the delivery to spine lesions) were considered of high concern in view of the high RPN and/or severity index value. Conclusions: The analysis of the potential failures, their causes and effects allowed to improve the safety strategies already adopted in the clinical practice with additional measures for optimizing quality management workflow and increasing patient safety.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Safety, Efficacy, and Patterns of Failure After Single-Fraction Stereotactic Body Radiation Therapy (SBRT) for Oligometastases
    Sogono, Paolo
    Bressel, Mathias
    David, Steven
    Shaw, Mark
    Chander, Sarat
    Chu, Julie
    Plumridge, Nikki
    Byrne, Keelan
    Hardcastle, Nicholas
    Kron, Tomas
    Wheeler, Greg
    Hanna, Gerard G.
    MacManus, Michael
    Ball, David
    Siva, Shankar
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 109 (03): : 756 - 763
  • [22] Failure Mode and Effect Analysis for Delivery of Lung Stereotactic Body Radiation Therapy
    Perks, Julian R.
    Stanic, Sinisa
    Stern, Robin L.
    Henk, Barbara
    Nelson, Marsha S.
    Harse, Rick D.
    Mathai, Mathew
    Purdy, James A.
    Valicenti, Richard K.
    Siefkin, Allan D.
    Chen, Allen M.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 83 (04): : 1324 - 1329
  • [23] Multi-institutional analysis of extracranial oligometastatic colorectal cancer patients treated with stereotactic body radiation therapy: TROD 02-008 study
    Guler, Ozan Cem
    Hurmuz, Pervin
    Atalar, Banu
    Guney, Yildiz
    Saglam, Esra Kaytan
    Akyurek, Serap
    Bolukbasi, Yasemin
    Gural, Zeynep
    Tugrul, Fuzuli
    Korcum, Aylin
    Sen, Cenk Ahmet
    Yildirim, Berna Akkus
    Oksuz, Didem Colpan
    Kurt, Meral
    Guzeloz, Zeliha
    Aksu, Gorkem
    Saynak, Mert
    Aksu, Gamze
    Onal, Cem
    STRAHLENTHERAPIE UND ONKOLOGIE, 2024, 200 (11) : 958 - 966
  • [24] Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: A multi-institutional study
    Cilla, Savino
    Campitelli, Maura
    Gambacorta, Maria Antonietta
    Rinaldi, Raffaella Michela
    Deodato, Francesco
    Pezzulla, Donato
    Romano, Carmela
    Fodor, Andrei
    Laliscia, Concetta
    Trippa, Fabio
    De Sanctis, Vitaliana
    Ippolito, Edy
    Ferioli, Martina
    Titone, Francesca
    Russo, Donatella
    Balcet, Vittoria
    Vicenzi, Lisa
    Di Cataldo, Vanessa
    Raguso, Arcangela
    Morganti, Alessio Giuseppe
    Ferrandina, Gabriella
    Macchia, Gabriella
    RADIOTHERAPY AND ONCOLOGY, 2024, 191
  • [25] Recurrence pattern of stereotactic body radiotherapy in oligometastatic prostate cancer: a multi-institutional analysis
    Nicosia, Luca
    Franzese, Ciro
    Mazzola, Rosario
    Franceschini, Davide
    Rigo, Michele
    D'agostino, Giuseppe
    Corradini, Stefanie
    Alongi, Filippo
    Scorsetti, Marta
    STRAHLENTHERAPIE UND ONKOLOGIE, 2020, 196 (03) : 213 - 221
  • [26] Single community-based institutional series of stereotactic body radiation therapy (SBRT) for treatment of liver metastases
    Anstadt, Emily J.
    Shumway, Richard
    Colasanto, Joseph
    Grew, David
    JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2019, 10 (02) : 330 - 338
  • [27] Lung Stereotactic Body Radiation Therapy (SBRT) dose gradient and PTV volume: a retrospective multi-center analysis
    David Hoffman
    Irena Dragojević
    Jeremy Hoisak
    David Hoopes
    Ryan Manger
    Radiation Oncology, 14
  • [28] Lung Stereotactic Body Radiation Therapy (SBRT) dose gradient and PTV volume: a retrospective multi-center analysis
    Hoffman, David
    Dragojevic, Irena
    Hoisak, Jeremy
    Hoopes, David
    Manger, Ryan
    RADIATION ONCOLOGY, 2019, 14 (01)
  • [29] Clinical Outcomes Following Stereotactic Body Radiation Therapy (SBRT) for Stage I Medically Inoperable Small Cell Lung Carcinoma A Multi-Institutional Analysis From the RSSearch Patient Registry
    Singh, Raj
    Ansinelli, Hayden
    Sharma, Dana
    Jenkins, Jan
    Davis, Joanne
    Vargo, John A.
    Sharma, Sanjeev
    AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS, 2019, 42 (07): : 602 - 606
  • [30] Prediction of Distant Metastases After Stereotactic Body Radiation Therapy for Early Stage NSCLC Development and External Validation of a Multi-Institutional Model
    Gao, Sarah J.
    Jin, Lan
    Meadows, Hugh W.
    Shafman, Timothy D.
    Gross, Cary P.
    Yu, James B.
    Aerts, Hugo J. W. L.
    Miccio, Joseph A.
    Stahl, John M.
    Mak, Raymond H.
    Decker, Roy H.
    Kann, Benjamin H.
    JOURNAL OF THORACIC ONCOLOGY, 2023, 18 (03) : 339 - 349