Literature DB >> 21508872

A proposed grading system of brain and spinal cavernomas.

Juri Kivelev1, Aki Laakso, Mika Niemelä, Juha Hernesniemi.   

Abstract

BACKGROUND: Most cavernomas in the central nervous system are characterized by a benign natural course. Progressive symptoms warrant surgical removal. In the literature, the factors affecting long-term postoperative outcome are not statistically well confirmed.
OBJECTIVE: To perform a multifactorial analysis of risk factors on a large patient series and to use the results to propose a simple grading scale to predict outcome.
METHODS: We studied 303 consecutive patients with cavernomas treated surgically at our department from 1980 to 2009. Follow-up assessment was performed on average 5.7 years postoperatively (range, 0.2-36 years). The main outcome measure was the patients' condition at the last follow-up on Glasgow Outcome Scale. For statistical analysis, the outcome measure was dichotomized to favorable (Glasgow Outcome Scale 5) and unfavorable (Glasgow Outcome Scale 1-4). Binary logistic regression analysis was used to estimate the effect of age, sex, seizures, preexisting neurological deficits, hemorrhage, and size and location of cavernoma on long-term outcome.
RESULTS: Infratentorial, basal ganglia, or spinal location and preexisting neurological deficit were the only independent risk factors for unfavorable outcome, with relative risks of 2.7 (P = .008) and 3.2 (P = .002), respectively. We formulated a grading system based on a score of 1 to 3. When applied to our series, the proposed grading system strongly correlated with outcome (P < .001, Pearson χ test). The risk for long-term unfavorable outcome was 13%, 22%, and 55% for grades 1 through 3, respectively.
CONCLUSION: The proposed grading system showed a convincing correlation with postoperative outcome in surgically treated cavernoma patients.

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Year:  2011        PMID: 21508872     DOI: 10.1227/NEU.0b013e31821ffbb5

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  4 in total

1.  Occipital Neuralgia from C2 Cavernous Malformation.

Authors:  Sang-Woo Ha; Jin-Gyu Choi; Byung-Chul Son
Journal:  Asian J Neurosurg       Date:  2018 Apr-Jun

Review 2.  Cerebral cavernous malformation remnants after surgery: a single-center series with long-term bleeding risk analysis.

Authors:  Marco M Fontanella; Edoardo Agosti; Luca Zanin; Lodovico Terzi di Bergamo; Francesco Doglietto
Journal:  Neurosurg Rev       Date:  2020-11-19       Impact factor: 3.042

3.  Outcome after surgical or conservative management of cerebral cavernous malformations.

Authors:  Fiona Moultrie; Margaret A Horne; Colin B Josephson; Julie M Hall; Carl E Counsell; Jo J Bhattacharya; Vakis Papanastassiou; Robin J Sellar; Charles P Warlow; Gordon D Murray; Rustam Al-Shahi Salman
Journal:  Neurology       Date:  2014-07-03       Impact factor: 9.910

4.  Magnetic Resonance Imaging of Multiple Cerebral and Spinal Cavernous Malformations of a Patient with Dementia and Tetraparesis.

Authors:  Florian Antonescu; Ioana Butnariu; Florentina Melania Cojocaru; Daniela Nicoleta Anghel; Dana Antonescu-Ghelmez; Sorin Tuță
Journal:  Diagnostics (Basel)       Date:  2022-03-10
  4 in total

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