Literature DB >> 16964869

Vivo motion and force measurement of surgical needle intervention during prostate brachytherapy.

Tarun Podder1, Douglas Clark, Jason Sherman, Dave Fuller, Edward Messing, Deborah Rubens, John Strang, Ralph Brasacchio, Lydia Liao, Wan-Sing Ng, Yan Yu.   

Abstract

In this paper, we present needle insertion forces and motion trajectories measured during actual brachytherapy needle insertion while implanting radioactive seeds in the prostate glands of 20 different patients. The needle motion was captured using ultrasound images and a 6 degree-of-freedom electromagnetic-based position sensor. Needle velocity was computed from the position information and the corresponding time stamps. From in vivo data we found the maximum needle insertion forces to be about 15.6 and 8.9 N for 17 gauge (1.47 mm) and 18 gauge (1.27 mm) needles, respectively. Part of this difference in insertion forces is due to the needle size difference (17G and 18G) and the other part is due to the difference in tissue properties that are specific to the individual patient. Some transverse forces were observed, which are attributed to several factors such as tissue heterogeneity, organ movement, human factors in surgery, and the interaction between the template and the needle. However, theses insertion forces are significantly responsible for needle deviation from the desired trajectory and target movement. Therefore, a proper selection of needle and modulated velocity (translational and rotational) may reduce the tissue deformation and target movement by reducing insertion forces and thereby improve the seed delivery accuracy. The knowledge gleaned from this study promises to be useful for not only designing mechanical/robotic systems but also developing a predictive deformation model of the prostate and real-time adaptive controlling of the needle.

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Year:  2006        PMID: 16964869     DOI: 10.1118/1.2218061

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  23 in total

1.  Robotic image-guided needle interventions of the prostate.

Authors:  Pierre C Mozer; Alan W Partin; Dan Stoianovici
Journal:  Rev Urol       Date:  2009

2.  Robotic assistance for ultrasound-guided prostate brachytherapy.

Authors:  Gabor Fichtinger; Jonathan P Fiene; Christopher W Kennedy; Gernot Kronreif; Iulian Iordachita; Danny Y Song; Everette C Burdette; Peter Kazanzides
Journal:  Med Image Anal       Date:  2008-06-18       Impact factor: 8.545

3.  A Passive Parallel Master-Slave Mechanism for Magnetic Resonance Imaging-Guided Interventions.

Authors:  Santhi Elayaperumal; Mark R Cutkosky; Pierre Renaud; Bruce L Daniel
Journal:  J Med Device       Date:  2015-03       Impact factor: 0.582

4.  Needle deflection estimation: prostate brachytherapy phantom experiments.

Authors:  Hossein Sadjadi; Keyvan Hashtrudi-Zaad; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-02-17       Impact factor: 2.924

5.  Indentation and needle insertion properties of the human eye.

Authors:  A Matthews; C Hutnik; K Hill; T Newson; T Chan; G Campbell
Journal:  Eye (Lond)       Date:  2014-05-09       Impact factor: 3.775

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

7.  Simulation of autonomous robotic multiple-core biopsy by 3D ultrasound guidance.

Authors:  Kaicheng Liang; Albert J Rogers; Edward D Light; Daniel Von Allmen; Stephen W Smith
Journal:  Ultrason Imaging       Date:  2010-04       Impact factor: 1.578

8.  Advantage of robotic needle placement on a prostate model in HDR brachytherapy.

Authors:  Gerd Strassmann; Peter Olbert; Axel Hegele; Detlev Richter; Emmanouil Fokas; Nina Timmesfeld; Rainer Hofmann; Rita Engenhart-Cabillic
Journal:  Strahlenther Onkol       Date:  2011-05-17       Impact factor: 3.621

9.  Closed-Loop Active Compensation for Needle Deflection and Target Shift During Cooperatively Controlled Robotic Needle Insertion.

Authors:  Marek Wartenberg; Joseph Schornak; Katie Gandomi; Paulo Carvalho; Chris Nycz; Niravkumar Patel; Iulian Iordachita; Clare Tempany; Nobuhiko Hata; Junichi Tokuda; Gregory S Fischer
Journal:  Ann Biomed Eng       Date:  2018-06-20       Impact factor: 3.934

10.  Modeling and control of needles with torsional friction.

Authors:  Kyle B Reed; Allison M Okamura; Noah J Cowan
Journal:  IEEE Trans Biomed Eng       Date:  2009-08-18       Impact factor: 4.538

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