Design and Control of a Compact, Modular Robot for Transbronchial Lung Biopsy.

Biopsy Bronchoscopy Lung Cancer Minimally-Invasive Surgery Robotics

Journal

Proceedings of SPIE--the International Society for Optical Engineering
ISSN: 0277-786X
Titre abrégé: Proc SPIE Int Soc Opt Eng
Pays: United States
ID NLM: 101524122

Informations de publication

Date de publication:
Feb 2019
Historique:
entrez: 7 3 2022
pubmed: 1 2 2019
medline: 1 2 2019
Statut: ppublish

Résumé

Lung cancer is one of the most prevalent and deadly forms of cancer, claiming more than 154,000 lives in the USA per year. Accurate targeting and biopsy of pulmonary abnormalities is key for early diagnosis and successful treatment. Many cancerous lesions originate in the peripheral regions of the lung which are not directly accessible from the bronchial tree, thereby requiring percutaneous approaches to collect biopsies, which carry a higher risk of pneumothorax, hemorrhage, and death in extreme cases. In prior work, our group proposed a concept for accessing the peripheral lung through the airways, via a bronchscope deployed steerable needle. In this paper, we present a more compact, modular, multi-stage robot, designed to deploy a steerable needle through a standard flexible bronchoscope, to retrieve biopsies from lesions in the peripheral regions of the lung. The robot has several stages that can control a steerable biopsy needle, as well as concentric tubes, which act as an aiming conduit. The functionality of this robot is demonstrated via closed-loop lesion targeting in a CT scanner. The steerable needle is controlled using a previously proposed sliding mode controller, based on feedback from a magnetic tracker embedded in the steerable needle's tip. Towards developing a clinically viable platform, this system builds on prior work through its modular, compact form factor, and workflow-conscious design that provides precise homing and the ability to interchange tools as needed.

Identifiants

pubmed: 35250147
doi: 10.1117/12.2513967
pmc: PMC8898049
mid: NIHMS1782762
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB024864
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB021937
Pays : United States

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Auteurs

Stephanie Amack (S)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Margaret Rox (M)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Jason Mitchell (J)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Tayfun Efe Ertop (TE)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Maxwell Emerson (M)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Alan Kuntz (A)

Computer Science, University of North Carolina at Chapel Hill, NC, USA.

Fabien Maldonado (F)

Interventional Pulmonology, Vanderbilt University Medical Center, Nashville, TN, USA.

Jason Akulian (J)

Interventional Pulmonology, University of North Carolina at Chapel Hill, NC, USA.

Joshua Gafford (J)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Ron Alterovitz (R)

Computer Science, University of North Carolina at Chapel Hill, NC, USA.

Robert J Webster (RJ)

Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Classifications MeSH