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Muzzammil HM, Zhang YD, Ejaz H, Yuan Q, Muddassir M. A review on tissue-needle interaction and path planning models for bevel tip type flexible needle minimal intervention. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:523-561. [PMID: 38303433 DOI: 10.3934/mbe.2024023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, particularly for minimally invasive interventions. Its applicability spans diverse surgical domains such as brachytherapy, cardiovascular surgery, neurosurgery and others. Notably, flexible needles find utility in biopsies requiring deep skin penetration to access infected areas. Despite its minimally invasive advantages, the precise guidance of the needle to its intended target, while avoiding damage to bones, blood vessels, organs and tissues, remains a significant challenge for researchers. Consequently, extensive research has been dedicated to enhancing the steering and accuracy of flexible needles. Here, we aim to elucidate the recent advancements, trends and perspectives in flexible needle steering models and path planning over the last 15 years. The discussed models encompass various types, including symmetric-tip needles, curved-tip needles, tendon-actuated needles, programmable needles and the innovative fracture-directed waterjet needles. Moreover, the paper offers a comprehensive analysis, comparing the trajectories followed by these needle models to attain the desired target with minimal tissue damage. By delving into these aspects, the paper contributes to a deeper understanding of the current landscape of flexible needle technology and guides future research directions in this dynamic field.
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Affiliation(s)
- Hafiz Muhammad Muzzammil
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology, Harbin 150080, China
- Department of Mechanical and Aerospace Engineering, Air University, E-9, Islamabad, Pakistan
| | - Yong-De Zhang
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology, Harbin 150080, China
| | - Hassan Ejaz
- Department of Mechanical and Aerospace Engineering, Air University, E-9, Islamabad, Pakistan
| | - Qihang Yuan
- Key Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology, Harbin 150080, China
| | - Muhammad Muddassir
- Department of Mechanical and Aerospace Engineering, Air University, E-9, Islamabad, Pakistan
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Robotic needle steering: state-of-the-art and research challenges. INTEL SERV ROBOT 2022. [DOI: 10.1007/s11370-022-00446-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Rox M, Emerson M, Ertop TE, Fried I, Fu M, Hoelscher J, Kuntz A, Granna J, Mitchell J, Lester M, Maldonado F, Gillaspie EA, Akulian JA, Alterovitz R, Webster RJ. Decoupling Steerability from Diameter: Helical Dovetail Laser Patterning for Steerable Needles. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 8:181411-181419. [PMID: 35198341 PMCID: PMC8863302 DOI: 10.1109/access.2020.3028374] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The maximum curvature of a steerable needle in soft tissue is highly sensitive to needle shaft stiffness, which has motivated use of small diameter needles in the past. However, desired needle payloads constrain minimum shaft diameters, and shearing along the needle shaft can occur at small diameters and high curvatures. We provide a new way to adjust needle shaft stiffness (thereby enhancing maximum curvature, i.e. "steerability") at diameters selected based on needle payload requirements. We propose helical dovetail laser patterning to increase needle steerability without reducing shaft diameter. Experiments in phantoms and ex vivo animal muscle, brain, liver, and inflated lung tissues demonstrate high steerability in soft tissues. These experiments use needle diameters suitable for various clinical scenarios, and which have been previously limited by steering challenges without helical dovetail patterning. We show that steerable needle targeting remains accurate with established controllers and demonstrate interventional payload delivery (brachytherapy seeds and radiofrequency ablation) through the needle. Helical dovetail patterning decouples steerability from diameter in needle design. It enables diameter to be selected based on clinical requirements rather than being carefully tuned to tissue properties. These results pave the way for new sensors and interventional tools to be integrated into high-curvature steerable needles.
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Affiliation(s)
- Margaret Rox
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
| | - Maxwell Emerson
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
| | - Tayfun Efe Ertop
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
| | - Inbar Fried
- Department of Computer Science at the University of North Carolina at Chapel Hill, NC 27599, USA
| | - Mengyu Fu
- Department of Computer Science at the University of North Carolina at Chapel Hill, NC 27599, USA
| | - Janine Hoelscher
- Department of Computer Science at the University of North Carolina at Chapel Hill, NC 27599, USA
| | - Alan Kuntz
- Robotics Center and the School of Computing at the University of Utah, Salt Lake City, UT 84112, USA
| | - Josephine Granna
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
| | - Jason Mitchell
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
| | - Michael Lester
- Department of Medicine and Thoracic Surgery at the Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Fabien Maldonado
- Department of Medicine and Thoracic Surgery at the Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Erin A Gillaspie
- Department of Medicine and Thoracic Surgery at the Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Jason A Akulian
- Division of Pulmonary Diseases and Critical Care Medicine at the University of North Carolina at Chapel Hill, NC 27599, USA
| | - Ron Alterovitz
- Department of Computer Science at the University of North Carolina at Chapel Hill, NC 27599, USA
| | - Robert J Webster
- Department of Mechanical Engineering and the Vanderbilt Institute for Surgery and Engineering at Vanderbilt University, Nashville, TN 37203, USA
- Department of Medicine and Thoracic Surgery at the Vanderbilt University Medical Center, Nashville, TN 37212, USA
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da Veiga T, Chandler JH, Lloyd P, Pittiglio G, Wilkinson NJ, Hoshiar AK, Harris RA, Valdastri P. Challenges of continuum robots in clinical context: a review. ACTA ACUST UNITED AC 2020. [DOI: 10.1088/2516-1091/ab9f41] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Babaiasl M, Boccelli S, Chen Y, Yang F, Ding JL, Swensen JP. Predictive mechanics-based model for depth of cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications. Med Biol Eng Comput 2020; 58:1845-1872. [PMID: 32514828 DOI: 10.1007/s11517-020-02182-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 04/26/2020] [Indexed: 11/25/2022]
Abstract
The use of waterjet technology is now prevalent in medical applications including surgery, soft tissue resection, bone cutting, waterjet steerable needles, and wound debridement. The depth of the cut (DOC) of a waterjet in soft tissue is an important parameter that should be predicted in these applications. For instance, for waterjet-assisted surgery, selective cutting of tissue layers is a must to avoid damage to deeper tissue layers. For our proposed fracture-directed waterjet steerable needles, predicting the cut depth of the waterjet in soft tissue is important to develop an accurate motion model, as well as control algorithms for this class of steerable needles. To date, most of the proposed models are only valid in the conditions of the experiments and if the soft tissue or the system properties change, the models will become invalid. The model proposed in this paper is formulated to allow for variation in parameters related to both the waterjet geometry and the tissue. In this paper, first the cut depths of waterjet in soft tissue simulants are measured experimentally, and the effect of tissue stiffness, waterjet velocity, and nozzle diameter are studied on DOC. Then, a model based on the properties of the tissue and the waterjet is proposed to predict the DOC of waterjet in soft tissue. In order to verify the model, soft tissue properties (constitutive response and fracture toughness) are measured using low strain rate compression tests, Split-Hopkinson-Pressure-Bar (SHPB) tests, and fracture toughness tests. The results show that the proposed model can predict the DOC of waterjet in soft tissue with acceptable accuracy if the tissue and waterjet properties are known. Graphical Abstract (Left) An overview of the problems of traditional steerable needles and the solutions provided by waterjet steerable needles. (A) Traditional tip-steerable needles and tip-bent needles suffer from poor curvature, especially in soft tissues. (B) Traditional steerable needles are unable to accomplish many bends because the cutting force only results from drastic tissue deformation. (C) The first step for realization of waterjet steerable needles is to understand and model the interaction between waterjet and soft tissues at the tip (predictive model for depth of cut). (D) Then, the equilibrium between shapes cut in the tissue and the straight elastic needle should be understood. (Right) Waterjet steerable needles in which the direction of the tissue fracture is contr olled by waterjet and then the flexible needle follows. The first step for waterjet steerable needle realization is to predict the depth of waterjet cut.
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Affiliation(s)
- Mahdieh Babaiasl
- M3 Robotics Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA.
| | - Stefano Boccelli
- Department of Aerospace Science and Technology, Politecnico di Milano, Milan, 20156, Italy
| | - Yao Chen
- School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA
| | - Fan Yang
- M3 Robotics Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA
| | - Jow-Lian Ding
- School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA
| | - John P Swensen
- M3 Robotics Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99163, USA
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