ABSTRACT
The Children's Oncology Group (COG) has a strong quality assurance (QA) program managed by the Imaging and Radiation Oncology Core (IROC). This program consists of credentialing centers and providing real-time management of each case for protocol compliant target definition and radiation delivery. In the International Society of Pediatric Oncology (SIOP), the lack of an available, reliable online data platform has been a challenge and the European Society for Paediatric Oncology (SIOPE) quality and excellence in radiotherapy and imaging for children and adolescents with cancer across Europe in clinical trials (QUARTET) program currently provides QA review for prospective clinical trials. The COG and SIOP are fully committed to a QA program that ensures uniform execution of protocol treatments and provides validity of the clinical data used for analysis.
Subject(s)
Neoplasms/radiotherapy , Quality Assurance, Health Care/standards , Radiation Oncology/standards , Radiotherapy Planning, Computer-Assisted/standards , Adolescent , Child , HumansABSTRACT
The National Cancer Institute clinical cooperative groups have been instrumental over the past 50 years in developing clinical trials and evidence-based process improvements for clinical oncology patient care. The cooperative groups are undergoing a transformation process as we further integrate molecular biology into personalized patient care and move to incorporate international partners in clinical trials. To support this vision, data acquisition and data management informatics tools must become both nimble and robust to support transformational research at an enterprise level. Information, including imaging, pathology, molecular biology, radiation oncology, surgery, systemic therapy, and patient outcome data needs to be integrated into the clinical trial charter using adaptive clinical trial mechanisms for design of the trial. This information needs to be made available to investigators using digital processes for real-time data analysis. Future clinical trials will need to be designed and completed in a timely manner facilitated by nimble informatics processes for data management. This paper discusses both past experience and future vision for clinical trials as we move to develop data management and quality assurance processes to meet the needs of the modern trial.
ABSTRACT
The Quality Assurance Review Center (QARC) works to improve the standards of care in treating cancer by improving the quality of clinical trials medicine. QARC operates as a data management and review center providing quality assurance services for multiple external groups including cooperative groups and pharmaceutical companies. As the medical world migrates from analog film to digital files, QARC has developed an innovative and unique digital imaging management system to accommodate this trend. As QARC acquires electronic data from institutions across six continents, the system is continually developed to accommodate Digital Imaging and Communications in Medicine (DICOM) imaging originating from a wide variety of Picture Archival and Communications System (PACS) manufacturers, thus creating one of the largest and most diverse multi-institutional imaging archives in the cancer research community.
Subject(s)
Database Management Systems , Diagnostic Imaging/methods , Multi-Institutional Systems , Neoplasms/diagnosis , Neoplasms/radiotherapy , Radiology Information Systems , Computer Communication Networks , Databases as Topic , Humans , Information Storage and Retrieval , International Cooperation , Quality Assurance, Health Care/methods , Software , User-Computer InterfaceABSTRACT
Quality assurance in radiotherapy (RT) has been an integral aspect of cooperative group clinical trials since 1970. In early clinical trials, data acquisition was nonuniform and inconsistent and computational models for radiation dose calculation varied significantly. Process improvements developed for data acquisition, credentialing, and data management have provided the necessary infrastructure for uniform data. With continued improvement in the technology and delivery of RT, evaluation processes for target definition, RT planning, and execution undergo constant review. As we move to multimodality image-based definitions of target volumes for protocols, future clinical trials will require near real-time image analysis and feedback to field investigators. The ability of quality assurance centers to meet these real-time challenges with robust electronic interaction platforms for imaging acquisition, review, archiving, and quantitative review of volumetric RT plans will be the primary challenge for future successful clinical trials.
