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Prediction of Post-operative Visual Deterioration Using Visual-Evoked Potential Latency in Extended Endoscopic Endonasal Resection of Craniopharyngiomas.
Tao, Xiaorong; Yang, Xiaocui; Fan, Xing; You, Hao; Jin, Yanwen; Liu, Jiajia; Guo, Dongze; Li, Chuzhong; Qiao, Hui.
Afiliação
  • Tao X; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Yang X; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Fan X; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • You H; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Jin Y; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Liu J; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Guo D; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Li C; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Qiao H; Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Front Neurol ; 12: 753902, 2021.
Article em En | MEDLINE | ID: mdl-34925215
ABSTRACT

Background:

The current study aimed to investigate the predictive value of visual-evoked potential (VEP) latency for post-operative visual deterioration in patients undergoing craniopharyngioma resection via extended endoscopic endonasal approach (EEEA).

Methods:

Data from 90 patients who underwent craniopharyngioma resection via EEEA with intraoperative VEP monitoring were retrospectively reviewed. P100 latency was compared between patients with and without post-operative visual deterioration, and the threshold value of P100 latency for predicting post-operative visual deterioration was calculated by the receiver operating characteristic curve analysis. In addition, other potential prognostic factors regarding post-operative visual outcomes were also analyzed by multivariate analysis.

Results:

Patients with post-operative visual deterioration showed a significantly longer VEP latency than those without (p < 0.001). An extension over 8.61% in VEP latency was identified as a predictor of post-operative visual deterioration (p < 0.001). By contrast, longer preoperative visual impairment duration and larger tumor volume were not significant predictors for post-operative visual deterioration.

Conclusions:

The current study revealed that intraoperative VEP monitoring in EEEA is effective for predicting post-operative visual deterioration, and an extension over 8.61% in VEP latency can be used as a critical cut-off value to predict post-operative visual deterioration.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article