PubMed Health⌕ Search

PubMed · 16479623

Electrosurgery and bipolar technology.

Abstract

A major concern in surgery is the prevention or control of bleeding. The ligature and the clip are the hallmarks of the last century of modern surgery. Therapeutic embolization is not really used to stop hemorrhage but to treat aneurysms and so prevent future rupture and bleeding. Blood clotting within the network of coils of the now widely used Guglielmi detachable coils is now progressively becoming the method of choice whenever possible in aneurysm treatment. Simple external compression at a pressure higher than the intravascular pressure can control bleeding, and if continued long enough, may cause clotting in the bleeding vessels. Unfortunately, there are few areas in the central nervous system where such pressure can be applied, although it is a considerable help in opening muscle layers where self-retaining retractors will be used. Low-pressure venous bleeding may be controlled by application of gelfoam, surgically, or a bit of crushed muscle supported temporarily by a wet cottonoid pledget without occlusion of the venous channel. Historically, hot actual cautery or boiling oil were used to achieve hemostasis by forming a large tissue coagulum, which usually prevented bleeding until the entire dead mass sloughed away.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Leonard I Malis. 2006. Electrosurgery and bipolar technology.. https://doi.org/10.1227/01.neu.0000204216.05933.19

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

A penalized likelihood approach to magnetic resonance image reconstruction.

Currently, images acquired via magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) technology are reconstructed using the discrete inverse Fourier transform. While computationally convenient, this approach is not able to filter out noise. This is a serious limitation because the amount of noise in MRI and fMRI can be substantial. In this paper, we propose an alternative approach to reconstruction, based on penalized likelihood methodology. In particular, we focus on non-linear shrinkage estimators and show that this approach achieves a great reduction in integrated mean squared error (IMSE) of the estimated image with respect to the currently used estimator. This approach is extremely fast and easy to implement computationally. In addition, it can be combined with various alternative approaches to MR image reconstruction and can be easily adapted to other, non-MRI contexts, in which the observed data and the quantities of interest are related via a linear transform.

Brain Diseases↗