A nomogram to predict symptomatic epilepsy in patients with radiation-induced brain necrosis.
Journal
Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060
Informations de publication
Date de publication:
08 09 2020
08 09 2020
Historique:
received:
13
11
2019
accepted:
11
03
2020
pubmed:
8
7
2020
medline:
23
10
2020
entrez:
8
7
2020
Statut:
ppublish
Résumé
To develop and validate a nomogram to predict epilepsy in patients with radiation-induced brain necrosis (RN). The nomogram was based on a retrospective analysis of 302 patients who were diagnosed with symptomatic RN from January 2005 to January 2016 in Sun Yat-sen Memorial Hospital using the Cox proportional hazards model. Discrimination of the nomogram was assessed by the concordance index ( A total of 302 patients with RN with a median follow-up of 3.43 years (interquartile range 2.54-5.45) were included in the training cohort; 65 (21.5%) developed symptomatic epilepsy during follow-up. Seven variables remained significant predictors of epilepsy after multivariable analyses: MRI lesion volume, creatine phosphokinase, the maximum radiation dose to the temporal lobe, RN treatment, history of hypertension and/or diabetes, sex, and total cholesterol level. In the validation cohort, 28 out of 128 (21.9%) patients had epilepsy after RN within a median follow-up of 3.2 years. The nomogram showed comparable discrimination between the training and validation cohort (corrected Our study developed an easily applied nomogram for the prediction of RN-related epilepsy in a large RN cohort. This study provides Class III evidence that a nomogram predicts post-RN epilepsy.
Identifiants
pubmed: 32631922
pii: WNL.0000000000010190
doi: 10.1212/WNL.0000000000010190
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1392-e1403Informations de copyright
© 2020 American Academy of Neurology.