» Articles » PMID: 34853503

Image-Guided Robotics for Standardized and Automated Biopsy and Ablation

Overview
Specialty Radiology
Date 2021 Dec 2
PMID 34853503
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

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!

Citing Articles

Innovations in Image-Guided Procedures: Unraveling Robot-Assisted Non-Hepatic Percutaneous Ablation.

Chlorogiannis D, Charalampopoulos G, Bale R, Odisio B, Wood B, Filippiadis D Semin Intervent Radiol. 2024; 41(2):113-120.

PMID: 38993597 PMC: 11236453. DOI: 10.1055/s-0044-1786724.


Navigation and Robotics in Interventional Oncology: Current Status and Future Roadmap.

Charalampopoulos G, Bale R, Filippiadis D, Odisio B, Wood B, Solbiati L Diagnostics (Basel). 2024; 14(1).

PMID: 38201407 PMC: 10795729. DOI: 10.3390/diagnostics14010098.


Robotic systems in interventional oncology: a narrative review of the current status.

Matsui Y, Kamegawa T, Tomita K, Uka M, Umakoshi N, Kawabata T Int J Clin Oncol. 2023; 29(2):81-88.

PMID: 37115426 DOI: 10.1007/s10147-023-02344-8.

References
1.
Hecht R, Li M, de Ruiter Q, Pritchard W, Li X, Krishnasamy V . Smartphone Augmented Reality CT-Based Platform for Needle Insertion Guidance: A Phantom Study. Cardiovasc Intervent Radiol. 2020; 43(5):756-764. PMC: 8979406. DOI: 10.1007/s00270-019-02403-6. View

2.
Tacher V, De Baere T . Robotic assistance in interventional radiology: dream or reality?. Eur Radiol. 2019; 30(2):925-926. DOI: 10.1007/s00330-019-06541-w. View

3.
Park B, Hunt S, Martin 3rd C, Nadolski G, Wood B, Gade T . Augmented and Mixed Reality: Technologies for Enhancing the Future of IR. J Vasc Interv Radiol. 2020; 31(7):1074-1082. PMC: 7311237. DOI: 10.1016/j.jvir.2019.09.020. View

4.
Ghezzi T, Corleta O . 30 Years of Robotic Surgery. World J Surg. 2016; 40(10):2550-7. DOI: 10.1007/s00268-016-3543-9. View

5.
Khan F, Henderson J . Deep brain stimulation surgical techniques. Handb Clin Neurol. 2013; 116:27-37. DOI: 10.1016/B978-0-444-53497-2.00003-6. View