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Interventional Oncology (Principles and Practice of Image-Guided Cancer Therapy) || Imaging in interventional oncology: Role of image guidance

DOI:10.1017/CBO9781107338555.008 出版年份:2016 更新时间:2025-09-23 15:21:01
摘要: Advances in medical imaging have created the opportunity for minimally invasive, image-guided oncologic care by allowing: (1) procedure planning; (2) device delivery; (3) intraprocedure monitoring; and (4) therapy assessment. Although most current image-guided therapy still utilizes standard diagnostic imaging equipment, interventional use of imaging equipment has in fact different priorities compared with diagnostic uses of such equipment. Therefore, interventional procedures prioritize imaging equipment that: (1) provides real-time imaging; (2) lowers radiation dose; and (3) provides greater physician access to the patient. In contrast to diagnostic imaging, lower image quality is an acceptable compromise for real-time imaging for interventional procedures. Patients have already undergone high-quality diagnostic imaging when they are referred to interventional therapies. Moreover, high-quality diagnostic imaging may require more time and more radiation dose than fast imaging of a restricted region of interest as performed for image guidance of interventions.
作者: Fran?ois Cornelis,Stephen B. Solomon
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Investigating the role of image guidance in interventional oncology procedures, including procedure planning, device delivery, intraprocedural monitoring, and therapy assessment.

Imaging plays a critical role in interventional oncology procedures, allowing for preprocedure planning, tool delivery guidance, intraprocedural monitoring, and posttherapy assessment. As imaging equipment becomes more customized to the task of image-guided therapy, these procedures are likely to become safer and more effective.

Current imaging systems provide some of the required features for interventional procedures, but none provides all of them. Limitations include the lack of real-time, three-dimensional imaging in CT, limited access to MRI systems, and the need for MR tool compatibility. Additionally, the challenge of multimodality fusion is simplified when both imaging data sets are obtained on the same patient bed, but these hybrid units are costly, limiting their practicality.

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