scholarly journals Influence of a Biocompatible Hydrophilic Needle Surface Coating on a Puncture Biopsy Process for Biomedical Applications

Coatings ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 178
Author(s):  
Fan Gao ◽  
Qinghua Song ◽  
Zhanqiang Liu ◽  
Yonghang Jiang ◽  
Xiuqing Hao
Keyword(s):  
Soft Tissue ◽  
Biomedical Applications ◽  
Element Model ◽  
Needle Insertion ◽  
Coating Application ◽  
Puncture Biopsy ◽  
Simplified Finite Element Model ◽  
Insertion Process ◽  
Biological Soft Tissue

A puncture biopsy is a widely used, minimally invasive surgery process. During the needle insertion process, the needle body is always in direct contact with a biological soft tissue. Tissue adhesion and different degrees of tissue damage occur frequently. Optimization of the needle surface, and especially the lubrication of the needle surface, can deal with these problems efficiently. Therefore, in this paper, a biocompatible hydrophilic coating was applied onto the surface of a needle to improve the surface quality of the needle surface. Further, a simplified finite element model of insertion was established, and extracorporeal insertion experiments were used to verify the accuracy of the model. Then, by analyzing a simulation model of a coated needle and a conventional needle, the influence of the application of the coated needle on the insertion process was obtained. It can be seen from the results that the coating application relieved the force on the needle and the soft tissue during the insertion process and could significantly reduce friction during the insertion process. At the same time, the deformation of biological soft tissue was reduced, and the adhesion situation between the needle and tissue improved, which optimized the puncture needle.

Needle Insertion Force of Biological Soft Tissue for Haptic based Intravenous Injection Simulator

2012 ◽  
Vol 29 (2) ◽  
pp. 222-228
Author(s):  
Bum-Mo Ahn ◽  
Eun-Young Jung ◽  
Young-Ho Lee ◽  
Yong-Soo Lim ◽  
Rae-Woong Park ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Intravenous Injection ◽  
Needle Insertion ◽  
Insertion Force ◽  
Needle Insertion Force ◽  
Biological Soft Tissue

Investigating the needle dynamic response during insertion into soft tissue

2009 ◽  
Vol 224 (4) ◽  
pp. 531-540 ◽  
Author(s):  
T Alja'afreh
Keyword(s):  
Soft Tissue ◽  
Ex Vivo ◽  
Surgical Techniques ◽  
Needle Insertion ◽  
Limiting Factor ◽  
Minimally Invasive Surgical ◽  
Soft Tissue Motion ◽  
Insertion Process ◽  
Tissue Motion

This paper investigates the effect of the needle velocity on soft-tissue motion ex vivo and in vivo. In many needle-based intervention procedures, which are common minimally invasive surgical techniques, the needle can be assumed to be rigid and the tissue deforms and displaces considerably as the needle moves forwards to its target. This paper presents an energy-based fracture mechanics approach to show that the increasing needle velocity can reduce tissue motion during the insertion process. The main feature of this paper is that it extends the proposed approach to model the insertion dynamics, whereas most of the literature treats needle insertion as a quasi-static process. Ex-vivo test results on lamb heart samples show that the force required to initiate penetration decreases with increasing needle velocity up to a critical velocity, above which the rate-independent penetration force of the underlying tissue becomes the limiting factor. In-vivo tests show that increased needle velocity results in reduced force and displacement for needle insertion into the heart. Results indicate that automated insertion could substantially improve performance in some applications.

STUDY OF THE TARGETING ERROR FOR PERCUTANEOUS NEEDLE INSERTION INTO SOFT PHANTOM MATERIAL

2016 ◽  
Vol 16 (02) ◽  
pp. 1650005 ◽  
Author(s):  
XINGJI WANG ◽  
SHAN JIANG
Keyword(s):  
Soft Tissue ◽  
Interaction Model ◽  
Needle Insertion ◽  
Uniaxial Tensile ◽  
Fe Model ◽  
Target Displacement ◽  
Uniaxial Tensile Strength ◽  
Needle Deflection ◽  
Two Factors ◽  
Insertion Process

Percutaneous needle insertion is widely used in minimally invasive procedures, in which the flexible needle is steered to reach a specific target inside the human body. The targeting error is due to a combination of flexible needle deflection and target displacement in soft tissue and only a very limited number of studies have focused on both two factors. This paper presents a targeting error calculation method which incorporates an energy-based needle deflection model into a soft tissue finite-element (FE) model. The needle insertion process is discretized into several increments on the basis of the quasi-static method. Needle deflection in each step is obtained by the needle-soft tissue interaction model which is applied into the FE model as the displacement input. A 2D-planar FE model is used to model the target displacement by imposing needle distribution forces and needle deflection at different steps on the appointed reference nodes. The soft tissue is modeled as a non-linear hyperelastic material with geometrical non-linearity. Uniaxial tensile strength tests are utilized to determine the soft tissue parameters. Needle targeting experiments are conducted to validate the simulation results. Results show that the proposed method can predict the needle targeting errors while the averaged prediction error stays below 0.4[Formula: see text]mm. At last, we conduct different experiments to compensate the obtained targeting error and thus, reaching preferable effects.

scholarly journals Recent trends in smartphone-based detection for biomedical applications: a review

2021 ◽  
Vol 413 (9) ◽  
pp. 2389-2406 ◽  
Author(s):  
Soumyabrata Banik ◽  
Sindhoora Kaniyala Melanthota ◽  
Arbaaz ◽  
Joel Markus Vaz ◽  
Vishak Madhwaraj Kadambalithaya ◽  
...  
Keyword(s):  
Biomedical Applications ◽  
Histopathological Examination ◽  
Dark Field ◽  
Portable Devices ◽  
Food Technology ◽  
Wide Range ◽  
Technological Interventions ◽  
Recent Trends ◽  
Increasing Demand

AbstractSmartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an impact on quantity and quality of care. Additionally, smartphone-based devices have shown their application in the field of teleimaging, food technology, education, etc. Depending on the application and imaging capability required, the optical arrangement of the SID varies which enables them to be used in multiple setups like bright-field, fluorescence, dark-field, and multiple arrays with certain changes in their optics and illumination. This comprehensive review discusses the numerous applications and development of SIDs towards histopathological examination, detection of bacteria and viruses, food technology, and routine diagnosis. Smartphone-based devices are complemented with deep learning methods to further increase the efficiency of the devices.

The value of real-time ultrasound-guidance for definite placement of a right supraclavicular subclavian central venous catheter

2021 ◽  
pp. 112972982199853
Author(s):  
Jens M Poth ◽  
Stefan F Ehrentraut ◽  
Se-Chan Kim
Keyword(s):  
Ultrasound Guidance ◽  
Venous Catheter ◽  
Needle Insertion ◽  
Major Surgery ◽  
Axillary Vein ◽  
Central Venous ◽  
Supraclavicular Fossa ◽  
The Right ◽  
High Index Of Suspicion ◽  
Insertion Process

Central venous catheters (CVC) are widely used in critically ill patients and in those undergoing major surgery. Significant adverse events, such as pneumothorax and hemothorax, can be caused by needle insertion during CVC insertion. CVC misplacement is less often described, yet equally important, as it can lead to deleterious complications. Here, we describe a case in which misplacement of a guidewire following infraclavicular puncture of the right axillary vein was detected by continuous ultrasound employing the right supraclavicular fossa view. Utilizing this ultrasound view, the insertion approach to the vessel was changed and correct CVC placement could be achieved. While ultrasound guidance is widely accepted for vessel puncture, this case demonstrates the value of continuous ultrasound guidance for the entire process of CVC insertion: vessel puncture, correct guidewire advancement, catheter placement, and exclusion of complications such as pneumothorax. It also shows that there should be a high index of suspicion for guidewire misplacement, even after successful venipuncture. In conclusion, ultrasound protocols covering the complete CVC insertion process should be implemented into current clinical practice.

Mechanics-Based Interactive Modeling for Medical Flexible Needle Insertion in Consideration of Nonlinear Factors

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Shan Jiang ◽  
Xingji Wang
Keyword(s):  
Soft Tissue ◽  
Kinematic Model ◽  
Needle Insertion ◽  
Winkler Foundation ◽  
Nonlinear Characteristics ◽  
Deformation Control ◽  
Needle Deflection ◽  
Iteration Cycle ◽  
Foundation Model ◽  
Sensitivity Studies

A mechanics-based model of flexible needle insertion into soft tissue is presented in this paper. Different from the existing kinematic model, a new model has been established based on the quasi-static principle, which also incorporates the dynamics of needle motions. In order to increase the accuracy of the model, nonlinear characteristics of the flexible needle and the soft tissue are both taken into account. The nonlinear Winkler foundation model and the modified Euler–Bernoulli theory are applied in this study, providing a theoretical framework to study insertion and deformation of needles. Galerkin method and iteration cycle analysis are applied in solving a series of deformation control equations to obtain the needle deflection. The parameters used in the mechanics-based model are obtained from the needle force and needle insertion experiment. Sensitivity studies show that the model can respond reasonably to changes in response to variations in different parameters. A 50 mm needle insertion simulation and a 50 mm corresponding needle insertion experiment are conducted to prove the validity of the model. At last, a study on different needle tip bevel demonstrates that the mechanics-based model can precisely predict the needle deflection when more than one parameter is changed. The solution can also be used in optimizing trajectory of the needle tip, enabling the needle to reach the target without touching important physiological structures such as blood vessels with the help of dynamic trajectory planning.

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