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Strahlenther Onkol ; 195(9): 843-850, 2019 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-31025053

RESUMEN

PURPOSE: Pediatric radiotherapy (RT) is a highly specialized field, requiring great experience to delineate correctly tumor targets and organs at risk. To reduce treatment failures related to planning inaccuracies and to obtain robust clinical results despite the limited numbers of enrolled pediatric patients, the SIOP PNET5MB clinical trial on medulloblastoma requires a real-time, pre-radiation review of the RT treatment (craniospinal irradiation and boost plan) under the direct responsibility of the national coordinator center. Here we describe the centralized radiotherapy quality assurance (QA) program developed in Italy for this purpose. METHODS: Using the software package VODCA (MSS, Hagendorn, Switzerland, www.vodca.ch ), we developed a cloud platform able to handle computed tomography (CT) images and RT objects and to support the complete workflow required by the review process in the context of the SIOP PNET5 trial. RESULTS: All Italian centers participating in the PNET5 trial adopted the proposed QA system. 24 patients were successfully enrolled and reviewed. For 15 patients (62.5%), one or more plan revisions were requested for the craniospinal irradiation plan and for 11 patients (45.8%) plan revisions were requested for the boost. RT was delivered after the plan was centrally approved for all enrolled patients. So far, in Italy, no patients have been excluded from PNET5 due to dosimetric incompliance to the protocol or for exceeding the RT starting time limit. CONCLUSION: The cloud platform successfully supported the trial workflow, producing official review documents. This efficient QA was crucial to guarantee optimized treatments and protocol compliance for all pediatric patients enrolled in the SIOP protocol.


Asunto(s)
Neoplasias Cerebelosas/radioterapia , Nube Computacional , Meduloblastoma/radioterapia , Tumores Neuroectodérmicos Primitivos/radioterapia , Garantía de la Calidad de Atención de Salud/organización & administración , Especialización , Niño , Humanos , Órganos en Riesgo/efectos de la radiación , Radiometría , Planificación de la Radioterapia Asistida por Computador/métodos , Diseño de Software , Flujo de Trabajo
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