Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.
Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.
World Neurosurg. 2021 Mar;147:e206-e214. doi: 10.1016/j.wneu.2020.12.020. Epub 2020 Dec 10.
Despite 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.
Across 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.
The median presurgical volume was 8.58 cm (range, 0.5-58 cm), 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.
Knosp 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.
尽管已经努力确定垂体腺瘤手术后的实际切除分级,但所有可用的分类和测量方法之间仍存在很大的分歧。我们的目的是确定通过经鼻内镜手术可预测临床无功能垂体腺瘤全切(GTR)的术前因素。
在 100 例手术中,我们分析了流行病学和临床数据、影像学相关数据、切除程度(EOR)和术后结果。通过准确的体积分析客观测量 EOR。
术前中位数体积为 8.58cm(范围 0.5-58cm),中位数最大直径为 27.3mm(范围 7-67mm),Knosp 分级 1 级 23%、2 级 31%、3 级 23%和 4 级 22%的患者各有 1 例。多变量逻辑回归分析发现 3 个因素可显著预测 GTR 的可能性:既往鞍内手术、Knosp 分级和 T2 加权磁共振成像扫描中的肿瘤信号。分析了另外 10 个影像学变量,但对 EOR 没有影响。
Knosp 分级(P<0.001;优势比[OR]25.65;95%置信区间 7.19-91.52)是预测无功能垂体腺瘤行 GTR 的最具预测性的因素。既往垂体手术(P=0.023;OR 5.81)和 T2 加权等信号(P=0.034;OR 3.75)也对 GTR 的可能性产生负面影响。我们强调了 T2 加权信号对 GTR 可能性的影响。