Literature DB >> 23727155

Study of the effect of cannula rotation on tissue cutting for needle biopsy.

Peidong Han1, Kornel Ehmann.   

Abstract

Needle biopsy is a medical procedure to extract tissue for diagnosis of cancer and other diseases. The quality of tissue samples acquired by needle biopsy greatly depends on the cutting forces of the cannula. The reduction of cutting forces is crucial for obtaining good tissue samples. There exist many factors that influence the cutting forces, some of which include the cannula tip geometry, translation speed, and rotation speed. In the present paper, the effects of rotating the cannula on tissue cutting for needle biopsy are studied. A fracture-mechanics-based approach is used to analyze the cutting forces. Analysis has shown that the cutting forces decrease with the increases in the slice/push ratio defined as the ratio of speed component parallel to the cutting edge/speed perpendicular to the cutting edge. Experiments are performed to demonstrate this phenomenon. Mathematical models of the slice/push ratio for bevel tip cannulas are formulated. The results are used to determine the optimal cannula rotation/translation speed and the desired tip geometry for needle biopsy. It is shown that a minimal slice/push ratio of 2 is recommended. A cannula with a large bevel angle is more suitable for rotational needle biopsy.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cutting edge geometry; Needle biopsy; Needle insertion; Needle rotation; Tissue cutting

Mesh:

Year:  2013        PMID: 23727155     DOI: 10.1016/j.medengphy.2013.05.001

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


  3 in total

1.  Optimizing Design With Extensive Simulation Data: A Case Study of Designing a Vacuum-Assisted Biopsy Tool.

Authors:  Chi-Lun Lin; Dane Coffey; Daniel Keefe; Arthur Erdman
Journal:  J Med Device       Date:  2018-05-04       Impact factor: 0.582

2.  A System for Optimizing Medical Device Development Using Finite Element Analysis Predictions.

Authors:  Chi-Lun Lin; Ashutosh Srivastava; Dane Coffey; Daniel Keefe; Marc Horner; Mark Swenson; Arthur Erdman
Journal:  J Med Device       Date:  2014-04-28       Impact factor: 0.582

Review 3.  Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

Authors:  Chongjun Yang; Yu Xie; Shuang Liu; Dong Sun
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

  3 in total

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