Design and models of helical needle geometries for core biopsies.

Core needle biopsy Cutting edge geometry Helical needle Needle insertion Needle rotation Tissue cutting

Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
02 2019
Historique:
received: 01 08 2018
revised: 05 09 2018
accepted: 24 09 2018
pubmed: 27 10 2018
medline: 11 2 2020
entrez: 27 10 2018
Statut: ppublish

Résumé

Biopsy needles are standard medical devices for extracting biological tissue with the purpose of diagnosing a specific anomaly such as cancerous masses, or lumps. The outcome of these procedures greatly relies on the quality of the samples which, in turn, depends on the forces acting on the needle during its insertion. In this scenario, the design of the needle tip plays a fundamental role in determining the cutting forces. Yet, since the dawn of modern medicine, only a few studies have proposed novel needle tip configurations. In this study, the geometry of biopsy needles is investigated, and helical cutting edges characterized by a three-dimensional (3D) profile are conceived. Mathematical models were formulated to compute the cutting angles and the tissue fracture forces. The proposed methodology is general and can be applied to any 3D needle cutting edge geometry. The utility of the helical geometry was demonstrated on a 14-gauge hollow needle which is generally used during breast biopsies. Experimental insertions were performed at different cutting speeds on phantom tissue. The results show that helical needles generate lower cutting forces than commercial needles and recommendations are formulated for the selection of their cutting parameters. The outcome of this investigation is applicable to biopsy examinations in which a hollow needle is adopted to acquire soft tissue samples.

Identifiants

pubmed: 30366301
pii: S1751-6161(18)31101-9
doi: 10.1016/j.jmbbm.2018.09.036
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113-124

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Marco Giovannini (M)

Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA. Electronic address: marcogiovannini2013@u.northwestern.edu.

Jian Cao (J)

Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA. Electronic address: jcao@northwestern.edu.

Kornel Ehmann (K)

Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA. Electronic address: k-ehmann@northwestern.edu.

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Classifications MeSH