magnetic resonance diffusion-weighted whole-body imaging (dwibs) in the urinary bladder cancer diagnostics
Clicks: 220
ID: 253169
2012
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
220 views
50 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #14 of 22 articles by views in environment, development and sustainability
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The purpose of the article is to identify the most characteristic and significant changes of magnetic resonance indicators in patients with the urinary bladder cancer during diffusion-weighed whole-body imaging (DWIBS). Materials: From September 2009 till April 2011 98 patients have been examined: 61 (62.2%) with morphologically verified bladder cancer and 37 (37.8%) with cystitis. Results: The study has revealed that the sensitivity of DWIBS investigation in detecting bladder cancer is 98.36%, specificity is 10.81, and the efficacy is 65.38%. Conclusions: DWIBS is an informative noninvasive method for screening diagnostics of bladder cancer, as well as for identificating suspicious areas of regional and distant metastases.
| Reference Key |
zuev2012russianmagnetic
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Viktor V. Zuev;M.L. Chekhonatskaya;Vladimir M. Popkov;A.N. Ponukalin;Y.E. Nikolsky |
| Journal | environment, development and sustainability |
| Year | 2012 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.