Literature DB >> 18225854

Feasibility of locating tumours in lung via kinaesthetic feedback.

G L McCreery1, A L Trejos, M D Naish, R V Patel, R A Malthaner.   

Abstract

BACKGROUND: Localizing lung tumours during minimally invasive surgery is difficult, since restricted access precludes manual palpation and pre-operative imaging cannot map directly to the intra-operative lung. This study analyses the force-sensing performance that would allow an instrumented kinaesthetic probe to localize tumours based on stiffness variations of the lung parenchyma.
METHODS: Agar injected into ex vivo porcine lungs produced a model approximating commonly encountered tumours. Force-deformation data were collected from multiple sites at various palpation depths and velocities, before and after the tumours were injected.
RESULTS: Analysis showed an increase in force after the tumours were injected, in the range 0.07-0.16 N at 7 mm (p < 10(-4)). A 2 mm/s palpation velocity minimized exponential stress decay at constant depths, facilitating easier comparisons between measurements.
CONCLUSION: A sensing range of 0-2 N, with 0.01 N resolution, should allow a kinaesthetic palpation probe to resolve local tissue stiffness changes that suggest an underlying tumour.

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Year:  2008        PMID: 18225854     DOI: 10.1002/rcs.169

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  4 in total

1.  Robotic palpation and mechanical property characterization for abnormal tissue localization.

Authors:  Bummo Ahn; Yeongjin Kim; Cheol Kyu Oh; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2012-07-07       Impact factor: 2.602

2.  Inverse finite-element modeling for tissue parameter identification using a rolling indentation probe.

Authors:  Hongbin Liu; Kiattisak Sangpradit; Min Li; Prokar Dasgupta; Kaspar Althoefer; Lakmal D Seneviratne
Journal:  Med Biol Eng Comput       Date:  2013-09-15       Impact factor: 2.602

3.  Needle tip force estimation by deep learning from raw spectral OCT data.

Authors:  M Gromniak; N Gessert; T Saathoff; A Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-07-22       Impact factor: 2.924

4.  Optical-based artificial palpation sensors for lesion characterization.

Authors:  Jong-Ha Lee; Yoon Nyun Kim; Jeonghun Ku; Hee-Jun Park
Journal:  Sensors (Basel)       Date:  2013-08-21       Impact factor: 3.576

  4 in total

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