1Pediatric Neuroimaging Research Consortium, Radiology, and.
5University of Cincinnati College of Medicine, Cincinnati, Ohio.
J Neurosurg Pediatr. 2021 Feb 5;27(4):391-399. doi: 10.3171/2020.9.PEDS20570. Print 2021 Apr 1.
The aim of this study was to investigate diffusion tensor imaging (DTI), an objective and noninvasive neuroimaging technique, for its potential as an imaging biomarker to predict the need and timing of CSF diversion surgery in patients after prenatal myelomeningocele (MMC) repair.
This was a retrospective analysis of data based on 35 pediatric patients after prenatal MMC repair (gestational age at birth 32.68 ± 3.42 weeks, range 24-38 weeks; 15 females and 20 males). A logistic regression analysis was used to classify patients to determine the need for CSF diversion surgery. The model performance was compared between using the frontooccipital horn ratio (FOHR) alone and using the FOHR combined with DTI values (the genu of the corpus callosum [gCC] and the posterior limb of the internal capsule [PLIC]). For patients who needed to be treated surgically, timing of the procedure was used as the clinical outcome to test the predictive value of DTI acquired prior to surgery based on a linear regression analysis.
Significantly lower fractional anisotropy (FA) values in the gCC (p = 0.014) and PLIC (p = 0.037) and higher mean diffusivity (MD) values in the gCC (p = 0.013) were found in patients who required CSF diversion surgery compared with those who did not require surgery (all p values adjusted for age). Based on the logistic regression analysis, the FOHR alone showed an accuracy of performance of 0.69 and area under the receiver operating characteristic curve (AUC) of 0.60. The performance of the model was higher when DTI measures were used in the logistic regression model (accuracy = 0.77, AUC = 0.84 for using DTI values in gCC; accuracy = 0.75, AUC = 0.84 for using DTI values in PLIC). Combining the DTI values of the gCC or PLIC and FOHR did not improve the model performance when compared with using the DTI values alone. In patients who needed CSF diversion surgery, significant correlation was found between DTI values in the gCC and the time interval between imaging and surgery (FA: ρ = 0.625, p = 0.022; MD: ρ = -0.6830, p = 0.010; both adjusted for age and FOHR).
The authors' data demonstrated that DTI could potentially serve as an objective biomarker differentiating patients after prenatal MMC repair regarding those who may require surgery for MMC-associated hydrocephalus. The predictive value for the need and timing of CSF diversion surgery is highly clinically relevant for improving and optimizing decision-making for the treatment of hydrocephalus in this patient population.
本研究旨在探讨弥散张量成像(DTI)作为一种客观、非侵入性的神经影像学技术,能否作为一种成像生物标志物,预测产前脊髓脊膜膨出(MMC)修复后患者行脑积水分流术的需求和时机。
这是一项基于 35 例产前 MMC 修复后患儿数据的回顾性分析(出生时的胎龄为 32.68±3.42 周,范围 24-38 周;15 名女性,20 名男性)。采用逻辑回归分析对患者进行分类,以确定是否需要行脑积水分流术。比较了仅使用额枕角比(FOHR)和使用 FOHR 结合 DTI 值(胼胝体膝部[gCC]和内囊后肢[PLIC])进行分类的模型性能。对于需要手术治疗的患者,将手术时间作为临床结果,基于线性回归分析,测试术前 DTI 的预测价值。
与无需手术的患者相比,需要行脑积水分流术的患者 gCC 区的各向异性分数(FA)值显著降低(p=0.014),PLIC 区的平均弥散系数(MD)值显著升高(p=0.037)(所有 p 值均经年龄校正)。基于逻辑回归分析,仅使用 FOHR 的准确率为 0.69,受试者工作特征曲线下面积(AUC)为 0.60。当将 DTI 测量值纳入逻辑回归模型时,模型的性能更高(使用 gCC 区的 DTI 值时,准确率为 0.77,AUC 为 0.84;使用 PLIC 区的 DTI 值时,准确率为 0.75,AUC 为 0.84)。与单独使用 DTI 值相比,联合使用 gCC 或 PLIC 的 DTI 值和 FOHR 并不能提高模型性能。在需要行脑积水分流术的患者中,gCC 区的 DTI 值与影像学检查和手术之间的时间间隔存在显著相关性(FA:ρ=0.625,p=0.022;MD:ρ=-0.6830,p=0.010;均经年龄和 FOHR 校正)。
作者的数据表明,DTI 可能作为一种客观的生物标志物,用于区分产前 MMC 修复后的患者,以便对可能需要手术治疗的 MMC 相关性脑积水患者进行区分。对于预测脑积水分流术的需求和时机,其具有较高的临床相关性,有助于改善和优化该患者人群中脑积水治疗的决策。