• World Neurosurg · Mar 2021

    Volumetric study of nonfunctioning pituitary adenomas: predictors of gross total resection.

    • Carlos Pérez-López, Alexis J Palpán, Miguel Saez-Alegre, Álvaro Zamarrón, Carolina Alfonso, Cristina Álvarez-Escola, and Alberto Isla.
    • Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Electronic address: cperezhulp@yahoo.es.
    • World Neurosurg. 2021 Mar 1; 147: e206-e214.

    ObjectiveDespite the efforts made to determine the achieved resection grade after pituitary adenoma surgery, there is a high level of disagreement among all the available classifications and measurement methods used. Our objective is to identify the factors that preoperatively could predict a gross total resection (GTR) of a clinically nonfunctioning pituitary adenoma through an endoscopic endonasal approach.MethodsAcross 100 surgeries, we analyzed epidemiologic and clinical data, radiologic relevant data, extent of resection (EOR), and postoperative outcomes. The EOR was measured objectively through an accurate volumetric analysis.ResultsThe median presurgical volume was 8.58 cm3 (range, 0.5-58 cm3), the median maximum diameter was 27.3 mm (range, 7-67 mm), and the Knosp grade was 0 in 1 patient, 1 in 23%, 2 in 31%, 3 in 23% and 4 in 22% of patients. In the multivariate logistic regression analysis, we found 3 factors that significantly predicted the chances of a successful GTR: previous sellar surgery, Knosp grade, and tumor signal in the T2-weighted magnetic resonance imaging scan. Another 10 radiologic variables were analyzed and had no effect on the EOR.ConclusionsKnosp grade (P < 0.001; odds ratio [OR], 25.65; 95% confidence interval, 7.19-91.52) is the most predictive factor for performing a GTR of nonfunctioning pituitary adenoma. Previous pituitary surgery (P = 0.023; OR, 5.81) and an isointense T2-weighted signal (P = 0.034; OR, 3.75) also negatively influenced the chances of GTR. We highlight the influence of T2-weighted signal in the chances of GTR.Copyright © 2020 Elsevier Inc. All rights reserved.

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