Ho Hsing-Hao, Li Ya-Hui, Lee Jih-Chin, Wang Chih-Wei, Yu Yi-Lin, Hueng Dueng-Yuan, Ma Hsin-I, Hsu Hsian-He, Juan Chun-Jung
Department of Radiology, Tri-Service General Hospital, Taipei, Taiwan.
Department of Radiology, National Defense Medical Center, Taipei, Taiwan.
PLoS One. 2018 Feb 13;13(2):e0192411. doi: 10.1371/journal.pone.0192411. eCollection 2018.
We estimated the volume of vestibular schwannomas by an ice cream cone formula using thin-sliced magnetic resonance images (MRI) and compared the estimation accuracy among different estimating formulas and between different models.
The study was approved by a local institutional review board. A total of 100 patients with vestibular schwannomas examined by MRI between January 2011 and November 2015 were enrolled retrospectively. Informed consent was waived. Volumes of vestibular schwannomas were estimated by cuboidal, ellipsoidal, and spherical formulas based on a one-component model, and cuboidal, ellipsoidal, Linskey's, and ice cream cone formulas based on a two-component model. The estimated volumes were compared to the volumes measured by planimetry. Intraobserver reproducibility and interobserver agreement was tested. Estimation error, including absolute percentage error (APE) and percentage error (PE), was calculated. Statistical analysis included intraclass correlation coefficient (ICC), linear regression analysis, one-way analysis of variance, and paired t-tests with P < 0.05 considered statistically significant.
Overall tumor size was 4.80 ± 6.8 mL (mean ±standard deviation). All ICCs were no less than 0.992, suggestive of high intraobserver reproducibility and high interobserver agreement. Cuboidal formulas significantly overestimated the tumor volume by a factor of 1.9 to 2.4 (P ≤ 0.001). The one-component ellipsoidal and spherical formulas overestimated the tumor volume with an APE of 20.3% and 29.2%, respectively. The two-component ice cream cone method, and ellipsoidal and Linskey's formulas significantly reduced the APE to 11.0%, 10.1%, and 12.5%, respectively (all P < 0.001).
The ice cream cone method and other two-component formulas including the ellipsoidal and Linskey's formulas allow for estimation of vestibular schwannoma volume more accurately than all one-component formulas.
我们使用薄层磁共振成像(MRI)通过甜筒公式估算前庭神经鞘瘤的体积,并比较不同估算公式之间以及不同模型之间的估算准确性。
本研究经当地机构审查委员会批准。回顾性纳入2011年1月至2015年11月间接受MRI检查的100例前庭神经鞘瘤患者。无需知情同意。基于单组分模型,通过长方体、椭球体和球体公式估算前庭神经鞘瘤的体积;基于双组分模型,通过长方体、椭球体、林斯凯公式和甜筒公式估算。将估算体积与通过面积测量法测得的体积进行比较。测试了观察者内的可重复性和观察者间的一致性。计算估算误差,包括绝对百分比误差(APE)和百分比误差(PE)。统计分析包括组内相关系数(ICC)、线性回归分析、单因素方差分析和配对t检验,P<0.05被认为具有统计学意义。
肿瘤总体积为4.80±6.8 mL(平均值±标准差)。所有ICC均不低于0.992,表明观察者内具有高可重复性和观察者间具有高度一致性。长方体公式显著高估肿瘤体积1.9至2.4倍(P≤0.001)。单组分椭球体和球体公式高估肿瘤体积,APE分别为20.3%和29.2%。双组分甜筒法以及椭球体和林斯凯公式将APE显著降低至分别为11.0%、10.1%和12.5%(均P<0.001)。
与所有单组分公式相比,甜筒法和其他双组分公式(包括椭球体和林斯凯公式)能更准确地估算前庭神经鞘瘤的体积。