Evaluation of the resection efficiency and safety of an enhanced power plasma generator using cadaveric intervertebral discs.

Biomed Eng Lett

Department of Physical Medicine and Rehabilitation, Korea University Medical Center, 126-1, Anam-Dong 5Ga, Seongbuk-Gu, 136-705 Seoul, South Korea.

Published: February 2023

Plasma energy has been used to provide minimally invasive interventional treatment for spinal problems. However, this procedure has been used for limited indications mainly because of its small resection range. To overcome this problem, we designed the enhanced power plasma device. This device seeks to maximize the resection area by modifying the electrode arrangement and enhancing the maximum electric power. The purpose of this study is to assess the efficiency and safety of this newly designed plasma generator, a device for percutaneous disc decompression. We performed an intradiscal procedure on 7 fresh human cadaver lumbar spine specimens using the enhanced power plasma under C-arm fluoroscopic guidance at various voltages. As a result, the volume of the removed area was proportional to the applied magnitude of the electric power level. In particular, under the high-power level condition after 500 s treatment, nearly the entire nucleus pulposus was eliminated. The generated plasma density also tends to grow along with the given electric power. The highest level of temperature rise did not exceed the level that would lead to degeneration in the collagen tissue of the intervertebral disc. Histopathologic examination also demonstrated that there was no thermal damage to the surrounding neural tissues. In conclusion, we speculate that the concepts of this newly designed enhanced plasma generator could be applied to remove huge disc materials without thermal or structural damage to the adjacent target tissues in future spine clinics.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873882PMC
http://dx.doi.org/10.1007/s13534-022-00253-9DOI Listing

Publication Analysis

Top Keywords

enhanced power
12
power plasma
12
plasma generator
12
electric power
12
efficiency safety
8
designed enhanced
8
newly designed
8
plasma
7
power
6
evaluation resection
4

Similar Publications

Background: Patients with disorders of consciousness (DOC) undergoing spinal cord stimulation (SCS) for arousal treatment require an assessment of their conscious state before and after the procedure. This is typically evaluated using behavioral scales (CRS-R), but this method can be influenced by the subjectivity of the physician. Event-related potentials (ERP) and EEG power spectrum are associated with the recovery of consciousness.

View Article and Find Full Text PDF

Introduction: Alongside sarcopenia, the age-related loss of muscle strength and power, known as dynapenia, increases the risk of functional disability and mortality in older adults. However, engaging in sporting activities during old age appears to enhance functional capacity. The differences in effects between athletes and sedentary individuals, as well as between genders, have yet to be fully clarified.

View Article and Find Full Text PDF

Phase change materials (PCMs) have been widely recognized as a highly efficient medium for thermal energy storage. Many studies have identified the low thermal conductivity of PCMs. In the current investigation, the researchers have blended PCM with nanoparticles to enhance its thermal conductivity and electrical efficiency.

View Article and Find Full Text PDF

Background: Prostate cancer is a leading cause of cancer-related mortality among men, second only to lung cancer. Prostate magnetic resonance imaging (MRI) utilizing the Prostate Imaging and Reporting Data System (PI-RADS) v2.1 scoring system effectively stratifies patients by risk and correlates significantly with histopathological outcomes.

View Article and Find Full Text PDF

Predicting student self-efficacy in Muslim societies using machine learning algorithms.

Front Big Data

December 2024

Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.

Introduction: Self-efficacy is a critical determinant of students' academic success and overall life outcomes. Despite its recognized importance, research on predictors of self-efficacy using machine learning models remains limited, particularly within Muslim societies. This study addresses this gap by leveraging advanced machine learning techniques to analyze key factors influencing students' self-efficacy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!