Developing Quality Assurance Processes for Image-Guided Adaptive Radiation Therapy
| Autor: | Di Yan |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Quality Control
Cancer Research Service (systems architecture) medicine.medical_specialty Process (engineering) medicine.medical_treatment Task (project management) medicine Humans Radiology Nuclear Medicine and imaging Medical physics Radiation treatment planning Radiation Phantoms Imaging business.industry Radiotherapy Planning Computer-Assisted Uncertainty Radiotherapy Dosage Automation Radiotherapy Computer-Assisted Radiation therapy Oncology Practice Guidelines as Topic Radiation Oncology Radiographic Image Interpretation Computer-Assisted business Quality assurance Image-Guided Adaptive Radiation Therapy |
| Zdroj: | International Journal of Radiation Oncology*Biology*Physics. 71:S28-S32 |
| ISSN: | 0360-3016 |
| DOI: | 10.1016/j.ijrobp.2007.08.082 |
| Popis: | Quality assurance has long been implemented in radiation treatment as systematic actions necessary to provide adequate confidence that the radiation oncology service will satisfy the given requirements for quality care. The existing reports from the American Association of Physicists in Medicine Task Groups 40 and 53 have provided highly detailed QA guidelines for conventional radiotherapy and treatment planning. However, advanced treatment processes recently developed with emerging high technology have introduced new QA requirements that have not been addressed previously in the conventional QA program. Therefore, it is necessary to expand the existing QA guidelines to also include new considerations. Image-guided adaptive radiation therapy (IGART) is a closed-loop treatment process that is designed to include the individual treatment information, such as patient-specific anatomic variation and delivered dose assessed during the therapy course in treatment evaluation and planning optimization. Clinical implementation of IGART requires high levels of automation in image acquisition, registration, segmentation, treatment dose construction, and adaptive planning optimization, which brings new challenges to the conventional QA program. In this article, clinical QA procedures for IGART are outlined. The discussion focuses on the dynamic or four-dimensional aspects of the IGART process, avoiding overlap with conventional QA guidelines. |
| Databáze: | OpenAIRE |
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