scholarly journals Design and Characterization of a Minimally Invasive Bipolar Electrode for Electroporation

Biology ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 303
Author(s):  
Giulia Merola ◽  
Roberta Fusco ◽  
Elio Di Bernardo ◽  
Valeria D’Alessio ◽  
Francesco Izzo ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Theoretical Study ◽  
Irreversible Electroporation ◽  
Bipolar Electrode ◽  
Clinical Tests ◽  
Minimal Invasiveness ◽  
Regular Shape ◽  
Parenchymal Damage ◽  
Volume Size

Objective: To test a new bipolar electrode for electroporation consisting of a single minimally invasive needle. Methods: A theoretical study was performed by using Comsol Multiphysics® software. The prototypes of electrode have been tested on potatoes and pigs, adopting an irreversible electroporation protocol. Different applied voltages and different geometries of bipolar electrode prototype have been evaluated. Results: Simulations and pre-clinical tests have shown that the volume of ablated area is mainly influenced by applied voltage, while the diameter of the electrode had a lesser impact, making the goal of minimal-invasiveness possible. The conductive pole’s length determined an increase of electroporated volume, while the insulated pole length inversely affects the electroporated volume size and shape; when the insulated pole length decreases, a more regular shape of the electric field is obtained. Moreover, the geometry of the electrode determined a different shape of the electroporated volume. A parenchymal damage in the liver of pigs due to irreversible electroporation protocol was observed. Conclusion: The minimally invasive bipolar electrode is able to treat an electroporated volume of about 10 mm in diameter by using a single-needle electrode. Moreover, the geometry and the electric characteristics can be selected to produce ellipsoidal ablation volumes.

scholarly journals 1700 nm optical coherence microscopy enables minimally invasive, label-free, in vivo optical biopsy deep in the mouse brain

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jun Zhu ◽  
Hercules Rezende Freitas ◽  
Izumi Maezawa ◽  
Lee-way Jin ◽  
Vivek J. Srinivasan
Keyword(s):  
Minimally Invasive ◽  
Mouse Brain ◽  
Numerical Aperture ◽  
Optical Biopsy ◽  
Optical Coherence ◽  
Label Free ◽  
Optical Coherence Microscopy ◽  
Minimal Invasiveness ◽  
Cortical Regions

AbstractIn vivo, minimally invasive microscopy in deep cortical and sub-cortical regions of the mouse brain has been challenging. To address this challenge, we present an in vivo high numerical aperture optical coherence microscopy (OCM) approach that fully utilizes the water absorption window around 1700 nm, where ballistic attenuation in the brain is minimized. Key issues, including detector noise, excess light source noise, chromatic dispersion, and the resolution-speckle tradeoff, are analyzed and optimized. Imaging through a thinned-skull preparation that preserves intracranial space, we present volumetric imaging of cytoarchitecture and myeloarchitecture across the entire depth of the mouse neocortex, and some sub-cortical regions. In an Alzheimer’s disease model, we report that findings in superficial and deep cortical layers diverge, highlighting the importance of deep optical biopsy. Compared to other microscopic techniques, our 1700 nm OCM approach achieves a unique combination of intrinsic contrast, minimal invasiveness, and high resolution for deep brain imaging.

scholarly journals 3D mixed-reality visualization of medical imaging data as a supporting tool for innovative, minimally invasive surgery for gastrointestinal tumors and systemic treatment as a new path in personalized treatment of advanced cancer diseases

2021 ◽  
Author(s):  
Ryszard Wierzbicki ◽  
Maria Pawłowicz ◽  
Józefa Job ◽  
Robert Balawender ◽  
Wojciech Kostarczyk ◽  
...  
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Mixed Reality ◽  
Systemic Treatment ◽  
Irreversible Electroporation ◽  
Gastrointestinal Tumors ◽  
Personalized Treatment ◽  
Imaging Data ◽  
Supporting Tool

Abstract Background The purpose of this study was to investigate the potential of a combination of 3D mixed-reality visualization of medical images using CarnaLife Holo (MedApp, Poland) system as a supporting tool for innovative, minimally invasive surgery/irreversible electroporation—IRA, Nano-Knife), microwave ablation (MWA)/for advanced gastrointestinal tumors. Eight liver and pancreatic tumor treatments were performed. In all of the patients undergoing laparoscopy or open surgery volume and margin were estimated by preoperative visualization. In all patients, neoplastic lesions were considered unresectable by standard methods. Methods Preoperative CT or MRI were transformed into holograms and displayed thanks to the HoloLens 2. During operation, the surgeon’s field of view was augmented with a 3D model of the patient’s relevant structures. Results The intraoperative hologram contributed to better presentation of tumor size and locations, more precise setting of needles used to irreversible electroporation and for determining ablation line in case of liver metastases. Surgeons could easily compare the real patient's anatomy to holographic visualization just before the operations. Conclusions The combination of 3D mixed-reality visualization using CarnaLife Holo with IRA, MWA and next systemic treatment (chemotherapy) might be a new way in personalized treatment of advanced cancers.

scholarly journals Theoretical Study on Quantitative Characterization of Interlayer Interference in Multi-Layer Commingled Production

2021 ◽  
Vol 09 (04) ◽  
pp. 21-29
Author(s):  
Pengfei Mu ◽  
Shaopeng Wang ◽  
Jie Tan ◽  
Hanqing Zhao ◽  
Li’an Zhang
Keyword(s):  
Theoretical Study ◽  
Quantitative Characterization

scholarly journals Double addition of azoles to glyoxal: characterization of the bis-adducts and theoretical study of their structure

ARKIVOC ◽  
2007 ◽  
Vol 2007 (12) ◽  
pp. 55-66 ◽  
Author(s):  
Marta Pérez-Torralba ◽  
Rosa M. Claramunt ◽  
Ibon Alkorta ◽  
José Elguero
Keyword(s):  
Theoretical Study

Categorize Readmitted Patients in Intensive Medicine by Means of Clustering Data Mining

2017 ◽  
Vol 8 (3) ◽  
pp. 22-37 ◽  
Author(s):  
Rui Veloso ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
José Machado ◽  
António da Silva Abelha ◽  
...  
Keyword(s):  
Patient Outcome ◽  
Clinical Tests ◽  
Essential Point ◽  
Clustering Techniques ◽  
The Common ◽  
Clustering Data ◽  
The Stability ◽  
Improve Patient ◽  
Intensive Medicine

With a constant increasing in the health expenses and the aggravation of the global economic situation, managing costs and resources in healthcare is nowadays an essential point in the management of hospitals. The goal of this work is to apply clustering techniques to data collected in real-time about readmitted patients in Intensive Care Units in order to know some possible features that affect readmissions in this area. By knowing the common characteristics of readmitted patients it will be possible helping to improve patient outcome, reduce costs and prevent future readmissions. In this study, it was followed the Stability and Workload Index for Transfer (SWIFT) combined with the results of clinical tests for substances like lactic acid, leucocytes, bilirubin, platelets and creatinine. Attributes like sex, age and identification if the patient came from the chirurgical block were also considered in the characterization of potential readmissions. In general, all the models presented very good results being the Davies-Bouldin index lower than 0.82, where the best index was 0.425.

Characterization of halide perovskite/titania interfaces as a function of the interlayer composition: A theoretical study

2020 ◽  
Vol 138 ◽  
pp. 109243
Author(s):  
Kazhal Shalmashi ◽  
Heidar Khosravi ◽  
Arash Boochani ◽  
Yavar T. Azar
Keyword(s):  
Theoretical Study ◽  
Halide Perovskite
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