Literature DB >> 22621782

Needle-tissue interaction forces--a survey of experimental data.

Dennis J van Gerwen1, Jenny Dankelman, John J van den Dobbelsteen.   

Abstract

The development of needles, needle-insertion simulators, and needle-wielding robots for use in a clinical environment depends on a thorough understanding of the mechanics of needle-tissue interaction. It stands to reason that the forces arising from this interaction are influenced by numerous factors, such as needle type, insertion speed, and tissue characteristics. However, exactly how these factors influence the force is not clear. For this reason, the influence of various factors on needle insertion-force was investigated by searching literature for experimental data. This resulted in a comprehensive overview of experimental insertion-force data available in the literature, grouped by factor for quick reference. In total, 99 papers presenting such force data were found, with typical peak forces in the order of 1-10N. The data suggest, for example, that higher velocity tends to decrease puncture force and increase friction. Furthermore, increased needle diameter was found to increase peak forces, and conical needles were found to create higher peak forces than beveled needles. However, many questions remain open for investigation, especially those concerning the influence of tissue characteristics.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22621782     DOI: 10.1016/j.medengphy.2012.04.007

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  35 in total

1.  In vivo evaluation of needle force and friction stress during insertion at varying insertion speed into the brain.

Authors:  Fernando Casanova; Paul R Carney; Malisa Sarntinoranont
Journal:  J Neurosci Methods       Date:  2014-08-20       Impact factor: 2.390

2.  A variable stiffness mechanism for steerable percutaneous instruments: integration in a needle.

Authors:  Iris De Falco; Costanza Culmone; Arianna Menciassi; Jenny Dankelman; John J van den Dobbelsteen
Journal:  Med Biol Eng Comput       Date:  2018-06-04       Impact factor: 2.602

3.  From arteries to boreholes: transient response of a poroelastic cylinder to fluid injection.

Authors:  L C Auton; C W MacMinn
Journal:  Proc Math Phys Eng Sci       Date:  2018-08-01       Impact factor: 2.704

4.  Evaluating the Impact of Human Factors and Pen Needle Design on Insulin Pen Injection.

Authors:  Christopher Rini; Bruce C Roberts; Didier Morel; Rick Klug; Benjamin Selvage; Ronald J Pettis
Journal:  J Diabetes Sci Technol       Date:  2019-03-17

5.  A combination of experimental and finite element analyses of needle-tissue interaction to compute the stresses and deformations during injection at different angles.

Authors:  Mahdi Halabian; Borhan Beigzadeh; Alireza Karimi; Hadi Asgharzadeh Shirazi; Mohammad Hasan Shaali
Journal:  J Clin Monit Comput       Date:  2015-10-29       Impact factor: 2.502

6.  Simulation and experimental studies in needle-tissue interactions.

Authors:  Bardia Konh; Mohammad Honarvar; Kurosh Darvish; Parsaoran Hutapea
Journal:  J Clin Monit Comput       Date:  2016-07-18       Impact factor: 2.502

Review 7.  Needle-tissue interactive mechanism and steering control in image-guided robot-assisted minimally invasive surgery: a review.

Authors:  Pan Li; Zhiyong Yang; Shan Jiang
Journal:  Med Biol Eng Comput       Date:  2018-04-21       Impact factor: 2.602

8.  Interventional radiology virtual simulator for liver biopsy.

Authors:  P F Villard; F P Vidal; L ap Cenydd; R Holbrey; S Pisharody; S Johnson; A Bulpitt; N W John; F Bello; D Gould
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-24       Impact factor: 2.924

9.  Preoperative Needle Insertion Path Planning for Minimizing Deflection in Multilayered Tissues.

Authors:  Ryosuke Tsumura; Jin Seob Kim; Hiroyasu Iwata; Iulian Iordachita
Journal:  IEEE Robot Autom Lett       Date:  2018-02-27

10.  Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity.

Authors:  Sindhu Anand; Swathy Sampath Kumar; Jit Muthuswamy
Journal:  Biomed Microdevices       Date:  2016-08       Impact factor: 2.838

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