Evidence map›Paper›PMID 27430491›Full record

ArticleJournal of clinical monitoring and computing2017

Simulation and experimental studies in needle-tissue interactions.

Bardia Konh, Mohammad Honarvar, Kurosh Darvish, Parsaoran Hutapea

Abstract read
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Article in Journal of clinical monitoring and computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. HDR Brachytherapy Planning using Active Needles - Preliminary Investigation on Dose Planning.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2022
    Article
  3. Modeling and Operator Control of a Robotic Tool for Bidirectional Manipulation in Targeted Prostate Biopsy.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bardia KonhDepartment of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Mohammad HonarvarDepartment of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Kurosh DarvishDepartment of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Parsaoran HutapeaDepartment of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, 19122, USA. hutapea@temple.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to introduce a new needle insertion simulation to predict the deflection of a bevel-tip needle inside soft tissue. The development of such a model, which predicts the steering behavior of the needle during needle-tissue interactions, could improve the performance of many percutaneous needle-based procedures such as brachytherapy and thermal ablation, by means of the virtual path planning and training systems of the needle toward the target and thus reducing possible incidents of complications in clinical practices. The Arbitrary-Lagrangian-Eulerian (ALE) formulation in LS-DYNA software was used to model the solid-fluid interactions between the needle and tissue. Since both large deformation and fracture of the continuum need to be considered in this model, applying ALE method for fluid analysis was considered a suitable approach. A 150 mm long needle was used to bend within the tissue due to the interacting forces on its asymmetric bevel tip. Three experimental cases of needle steering in a soft phantom were performed to validate the simulation. An error measurement of less than 10 % was found between the predicted deflection by the simulations and the one observed in experiments, validating our approach with reasonable accuracy. The effect of the needle diameter and its bevel tip angle on the final shape of the needle was investigated using this model. To maneuver around the anatomical obstacles of the human body and reach the target location, thin sharp needles are recommended, as they would create a smaller radius of curvature. The insertion model presented in this work is intended to be used as a base structure for path planning and training purposes for future studies.

Indexed as

NeedlesPhantoms, ImagingAlgorithmsComputer SimulationElasticityEquipment DesignFinite Element AnalysisHumansKineticsModels, StatisticalPoisson DistributionPuncturesReproducibility of ResultsRoboticsViscosityNeedle insertion testsNeedle-tissue interactionsSurgical needle insertion simulation

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.