• Eur Spine J · Apr 2013

    The grading model for the assessment of the total amount of epidural fibrosis in postoperative lumbar spine.

    • Zvonimir Ivan Lubina, Senka Baranovic, Ivan Karlak, Karlo Novacic, Tanja Potocki-Karacic, and Dražen Lovrić.
    • Department of Diagnostic and Interventional Radiology, University Hospital "Merkur", Zajčeva 19, 10000 Zagreb, Croatia. zlubina@gmail.com
    • Eur Spine J. 2013 Apr 1; 22 (4): 892-7.

    PurposeTo present a new model derived from Ross's model for the assessment of the total amount of epidural fibrosis and to present inter- and intravariability study.MethodsTwo readers blinded to each other and blinded to their first and second reading retrospectively evaluated the magnetic resonance examinations in 32 postoperative spine surgery patients using this model.ResultsPaired and unpaired two-sided t tests showed no significant difference between the first and second reading, and interclass correlation coefficient revealed good interobserver reliability.ConclusionThe proposed model enables estimation of the amount of epidural fibrosis in postoperative lumbar spine and does not require any additional software or hardware. It is designed for multi-centered clinical studies where it is necessary to compare the values of epidural fibrosis between the tested and control group. The use of the proposed model is fast and practical and helps to avoid complications arising from image format, calibration and software, which are often encountered in multi-centered studies.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,694,794 articles already indexed!

We guarantee your privacy. Your email address will not be shared.