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Image-Guided Robotics for Standardized and Automated Biopsy and Ablation.
Christou, Anna S; Amalou, Amel; Lee, HooWon; Rivera, Jocelyne; Li, Rui; Kassin, Michael T; Varble, Nicole; Tsz Ho Tse, Zion; Xu, Sheng; Wood, Bradford J.
Afiliação
  • Christou AS; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Amalou A; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Lee H; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Rivera J; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Li R; Tandon School of Engineering, New York University, Brooklyn, New York.
  • Kassin MT; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Varble N; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
  • Tsz Ho Tse Z; Philips Research North America, Cambridge, Massachusetts.
  • Xu S; Department of Electrical Engineering, University of York, Heslington, York, United Kingdom.
  • Wood BJ; Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
Semin Intervent Radiol ; 38(5): 565-575, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34853503
Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and improved outcomes. Robotic navigation of needles enables standardized and uniform procedures which enhance reproducibility via real-time precision feedback, while avoiding radiation exposure to the operator. Robots can be integrated with computed tomography (CT), cone beam CT, magnetic resonance imaging, and ultrasound and through various techniques, including stereotaxy, table-mounted, floor-mounted, and patient-mounted robots. The history, challenges, solutions, and questions facing the field of interventional radiology (IR) and interventional oncology are reviewed, to enable responsible clinical adoption and value definition via ergonomics, workflows, business models, and outcome data. IR-integrated robotics is ready for broader adoption. The robots are coming!
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Semin Intervent Radiol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Semin Intervent Radiol Ano de publicação: 2021 Tipo de documento: Article