• World Neurosurg · May 2021

    Key Factors Related to Internal Carotid Artery Stenosis Associated with Pituitary Apoplexy.

    • Shinichiro Teramoto, Shigeyuki Tahara, Akihide Kondo, and Akio Morita.
    • Department of Neurosurgery, Nippon Medical School, Tokyo, Japan; Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan. Electronic address: tera.2@hotmail.co.jp.
    • World Neurosurg. 2021 May 1; 149: e447-e454.

    BackgroundInternal carotid artery (ICA) stenosis rarely occurs in pituitary apoplexy. Little is known of the causes of this condition. The present study investigated the factors related to ICA stenosis associated with pituitary apoplexy.MethodsForty-five patients with pituitary apoplexy were retrospectively examined and divided into the stenotic and normal ICA groups. The baseline characteristics of patient background, tumor properties, clinical findings, and treatment overview were compared between the groups.ResultsEight patients were assigned to the stenotic ICA group and 37 to the normal ICA group. Patient age in the stenotic ICA group was significantly lower than that in the normal ICA group (P = 0.001). Maximum tumor diameter (P = 0.001), tumor volume (P = 0.044), and Knosp grade (P < 0.001) were significantly greater in the stenotic ICA group than in the normal ICA group. The stenotic ICA group had a significantly greater incidence of sphenoid sinus mucosal thickening than the normal-ICA group (P = 0.039). Multivariate logistic regression analysis demonstrated that age (odds ratio 0.915, 95% confidence interval 0.846-0.991, P = 0.029) was a significant and independent predictor of ICA stenosis associated with pituitary apoplexy. Receiver operating characteristic curve analysis showed that the optimal cut-off point for age was 35.0 years (specificity 0.946, sensitivity 0.750).ConclusionsOur study revealed that age, tumor size, and sphenoid sinus mucosal thickening were strongly related to the occurrence of ICA stenosis in pituitary apoplexy. Among these factors, age had the potential of being an independent predictor of the condition.Copyright © 2021 Elsevier Inc. All rights reserved.

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