Lee Eun Jung, Park Jin Hoon, Park Eun Suk, Kim Jeong Hoon
Department of Neurosurgery, Hallym University Dongtan Sacred Heart Hospital, Dongtan, Korea.
Department of Neurological Surgery, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
World Neurosurg. 2017 Nov;107:604-611. doi: 10.1016/j.wneu.2017.08.060. Epub 2017 Aug 24.
To analyze factors affecting observation failure (Ob-F) of untreated intracranial meningiomas (IMs) and to develop a "wait-and-see" strategy for newly diagnosed IMs based on risk.
Factors affecting Ob-F (i.e., development of neurologic symptoms, significant growth, loss of opportunity to do radiosurgery, and tumor invasion into the adjacent sinus) were examined using a multivariate Cox proportional hazard model. The utility of the Asan Intracranial Meningiomas Scoring System (AIMSS) for screening out patients at risk for Ob-F was also analyzed. The "wait-and-see" strategy was based on the growth rate affecting the 5-year observation success (Ob-S) rate.
Over 46.9 months, 77 of 232 patients (33.2%) experienced Ob-F. Larger tumors, preexisting neurologic symptoms, absence of calcification, and isointense/hyperintense signal were predictors of Ob-F. An AIMSS score of 4 for tumors <2.5 cm in diameter (P = 0.0002) and a score of 6 for tumors ≥2.5 to <4.0 cm in diameter screened out tumors at risk for Ob-F (P = 0.0023). Initial growth rates of ≥20%/year for tumors <2.5 cm (P < 0.0001) and ≥1 cm/year for tumors ≥2.5 to <4.0 cm (P = 0.0019) were predictive of 5-year Ob-S rate; however, tumors ≥4 cm tended to experience Ob-F, regardless of score group or growth rate.
The AIMSS is helpful for screening out IMs at risk for Ob-F at the time of diagnosis. The initial growth rate after follow-up predicts the risk of future Ob-F in small- to medium- sized IMs.
分析未经治疗的颅内脑膜瘤(IM)观察失败(Ob-F)的影响因素,并基于风险为新诊断的IM制定“观察等待”策略。
使用多变量Cox比例风险模型检查影响Ob-F的因素(即神经症状的出现、显著生长、失去进行放射外科手术的机会以及肿瘤侵犯相邻窦)。还分析了峨山颅内脑膜瘤评分系统(AIMSS)在筛查Ob-F风险患者中的效用。“观察等待”策略基于影响5年观察成功(Ob-S)率的生长率。
在46.9个月的时间里,232例患者中有77例(33.2%)出现Ob-F。肿瘤较大、存在神经症状、无钙化以及等密度/高密度信号是Ob-F的预测因素。直径<2.5 cm的肿瘤AIMSS评分为4(P = 0.0002),直径≥2.5至<4.0 cm的肿瘤评分为6可筛查出有Ob-F风险的肿瘤(P = 0.0023)。直径<2.5 cm的肿瘤初始生长率≥20%/年(P < 0.0001)以及直径≥2.5至<4.0 cm的肿瘤≥1 cm/年(P = 0.0019)可预测5年Ob-S率;然而,直径≥4 cm的肿瘤无论评分组或生长率如何都倾向于出现Ob-F。
AIMSS有助于在诊断时筛查出有Ob-F风险的IM。随访后的初始生长率可预测中小型IM未来发生Ob-F的风险。