Image-Guided Robotics for Standardized and Automated Biopsy and Ablation.

ablation biopsy interventional radiology robotics stereotactic navigation treatment planning

Journal

Seminars in interventional radiology
ISSN: 0739-9529
Titre abrégé: Semin Intervent Radiol
Pays: United States
ID NLM: 8510974

Informations de publication

Date de publication:
Dec 2021
Historique:
entrez: 2 12 2021
pubmed: 3 12 2021
medline: 3 12 2021
Statut: epublish

Résumé

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!

Identifiants

pubmed: 34853503
doi: 10.1055/s-0041-1739164
pii: 001336
pmc: PMC8612841
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

565-575

Subventions

Organisme : Intramural NIH HHS
ID : ZID BC011242
Pays : United States

Informations de copyright

Thieme. All rights reserved.

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Auteurs

Anna S Christou (AS)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

Amel Amalou (A)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

HooWon Lee (H)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

Jocelyne Rivera (J)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

Rui Li (R)

Tandon School of Engineering, New York University, Brooklyn, New York.

Michael T Kassin (MT)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

Nicole Varble (N)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
Philips Research North America, Cambridge, Massachusetts.

Zion Tsz Ho Tse (Z)

Department of Electrical Engineering, University of York, Heslington, York, United Kingdom.

Sheng Xu (S)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.

Bradford J Wood (BJ)

Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.
Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland.
National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland.

Classifications MeSH