378
Views
9
CrossRef citations to date
0
Altmetric
Articles

Accuracy in prediction of long-term functional outcome in patients with traumatic axonal injury: a comparison of MRI scales

ORCID Icon, , , ORCID Icon, , ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 595-601 | Received 19 Apr 2019, Accepted 08 Mar 2020, Published online: 27 Mar 2020
 

ABSTRACT

Purpose: Functional outcome prediction for patients with traumatic axonal injury (TAI) is not highly related to the MRI classifications. The aim of this study was to assess the accuracy in predicting functional outcome in patients with TAI with several MRI scoring methods and to define the most accurate method.

Methods: Patients with TAI (2008–2014) confirmed on MRI <6 months after injury were included in this retrospective study. Long-term functional outcome was prospectively assessed using the Glasgow Outcome Score Extended. The Gentry classification is most used in clinical practice. This method was compared to methods that score lesion load, lesion locations, and to modified Gentry classifications. The area under the curve (AUC) was calculated for the scoring methods.

Results: A total of 124 patients with TAI were included, medium follow-up 52 months. The AUC for the Gentry classification was 0.64. All tested methods were poor predictors for functional outcome, except for the 6-location score (area under the curve: 0.71). No method was significantly better than the Gentry classification.

Conclusion: The Gentry classification for TAI correlates with functional outcome, but is a poor predictor for the long-term functional outcome. None of the other tested methods was significantly better.

Declaration of interest

This work was supported by a grant of the Dutch organisation for health research and care innovation (ZonMW) section TopCare projects, grant number 842004002. The funding source had no role in design, collection, analysis, interpretation or publication of the data. No competing financial interests exist.

Supplementary material

Supplemental data can be accessed on publisher’s website.

Additional information

Funding

This work was supported by the ZonMw [842004002].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 727.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.