Yam Code
Sign up
Login
New paste
Home
Trending
Archive
English
English
Tiếng Việt
भारत
Sign up
Login
New Paste
Browse
https://www.selleckchem.com/products/lw-6.html To evaluate the efficacy of interactive virtual reality (iVR) in providing a three-dimensional (3D) experience with the donor's anatomy for surgeons and patients, we present a retrospective, case-controlled study assessing the impact of iVR renal models prior to LDN on both surgical outcomes and patients' understanding of the procedure. Twenty patients undergoing LDN were prospectively recruited; their contrast-enhanced CT scans were transformed into iVR models. An iVR platform allowed the surgeons to rotate and deconstruct the renal anatomy; patients could also view their anatomy as the procedure was explained to them. Questionnaires assessed surgeons' understanding of renal anatomy after CT alone and after CT+iVR. Surgeons also commented on whether iVR impacted their preoperative plan. Patients assessed their anatomical understanding and anxiety level before and after iVR. Surgical outcomes for the iVR cohort were compared to a retrospectively matched, non-iVR cohort of LDN patients. Surgeons altered their preoperative plan in 18 of 20 LDNs after viewing iVR models. Patients reported better understanding of their anatomy (5/5) and noted decreased preoperative anxiety (5/5) after viewing iVR. When compared to the non-iVR group, the iVR group had a 25% reduction in median operative time (P < .001). In terms of surgical outcomes, patients in the iVR group had a 40% lower median relative change in postoperative creatinine (P < .001). Preoperative viewing of iVR models altered the operative approach, decreased the operative time, and improved donor patient outcomes. iVR models also reduced patients' preoperative anxiety. Preoperative viewing of iVR models altered the operative approach, decreased the operative time, and improved donor patient outcomes. iVR models also reduced patients' preoperative anxiety.Model reduction is an important topic in studies of biological systems. By reducing the complexity of large models thr
Paste Settings
Paste Title :
[Optional]
Paste Folder :
[Optional]
Select
Syntax Highlighting :
[Optional]
Select
Markup
CSS
JavaScript
Bash
C
C#
C++
Java
JSON
Lua
Plaintext
C-like
ABAP
ActionScript
Ada
Apache Configuration
APL
AppleScript
Arduino
ARFF
AsciiDoc
6502 Assembly
ASP.NET (C#)
AutoHotKey
AutoIt
Basic
Batch
Bison
Brainfuck
Bro
CoffeeScript
Clojure
Crystal
Content-Security-Policy
CSS Extras
D
Dart
Diff
Django/Jinja2
Docker
Eiffel
Elixir
Elm
ERB
Erlang
F#
Flow
Fortran
GEDCOM
Gherkin
Git
GLSL
GameMaker Language
Go
GraphQL
Groovy
Haml
Handlebars
Haskell
Haxe
HTTP
HTTP Public-Key-Pins
HTTP Strict-Transport-Security
IchigoJam
Icon
Inform 7
INI
IO
J
Jolie
Julia
Keyman
Kotlin
LaTeX
Less
Liquid
Lisp
LiveScript
LOLCODE
Makefile
Markdown
Markup templating
MATLAB
MEL
Mizar
Monkey
N4JS
NASM
nginx
Nim
Nix
NSIS
Objective-C
OCaml
OpenCL
Oz
PARI/GP
Parser
Pascal
Perl
PHP
PHP Extras
PL/SQL
PowerShell
Processing
Prolog
.properties
Protocol Buffers
Pug
Puppet
Pure
Python
Q (kdb+ database)
Qore
R
React JSX
React TSX
Ren'py
Reason
reST (reStructuredText)
Rip
Roboconf
Ruby
Rust
SAS
Sass (Sass)
Sass (Scss)
Scala
Scheme
Smalltalk
Smarty
SQL
Soy (Closure Template)
Stylus
Swift
TAP
Tcl
Textile
Template Toolkit 2
Twig
TypeScript
VB.Net
Velocity
Verilog
VHDL
vim
Visual Basic
WebAssembly
Wiki markup
Xeora
Xojo (REALbasic)
XQuery
YAML
HTML
Paste Expiration :
[Optional]
Never
Self Destroy
10 Minutes
1 Hour
1 Day
1 Week
2 Weeks
1 Month
6 Months
1 Year
Paste Status :
[Optional]
Public
Unlisted
Private (members only)
Password :
[Optional]
Description:
[Optional]
Tags:
[Optional]
Encrypt Paste
(
?
)
Create New Paste
You are currently not logged in, this means you can not edit or delete anything you paste.
Sign Up
or
Login
Site Languages
×
English
Tiếng Việt
भारत