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脑积水:基于三维脑 CT 数据和半自动三维阈值分割方法的脑室容积量化。

Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach.

机构信息

Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

出版信息

Korean J Radiol. 2021 Mar;22(3):435-441. doi: 10.3348/kjr.2020.0671. Epub 2020 Oct 30.

Abstract

OBJECTIVE

To evaluate the usefulness of the ventricular volume percentage quantified using three-dimensional (3D) brain computed tomography (CT) data for interpreting serial changes in hydrocephalus.

MATERIALS AND METHODS

Intracranial and ventricular volumes were quantified using the semiautomatic 3D threshold-based segmentation approach for 113 brain CT examinations (age at brain CT examination ≤ 18 years) in 38 patients with hydrocephalus. Changes in ventricular volume percentage were calculated using 75 serial brain CT pairs (time interval 173.6 ± 234.9 days) and compared with the conventional assessment of changes in hydrocephalus (increased, unchanged, or decreased). A cut-off value for the diagnosis of no change in hydrocephalus was calculated using receiver operating characteristic curve analysis. The reproducibility of the volumetric measurements was assessed using the intraclass correlation coefficient on a subset of 20 brain CT examinations.

RESULTS

Mean intracranial volume, ventricular volume, and ventricular volume percentage were 1284.6 ± 297.1 cm³, 249.0 ± 150.8 cm³, and 19.9 ± 12.8%, respectively. The volumetric measurements were highly reproducible (intraclass correlation coefficient = 1.0). Serial changes (0.8 ± 0.6%) in ventricular volume percentage in the unchanged group (n = 28) were significantly smaller than those in the increased and decreased groups (6.8 ± 4.3% and 5.6 ± 4.2%, respectively; = 0.001 and < 0.001, respectively; n = 11 and n = 36, respectively). The ventricular volume percentage was an excellent parameter for evaluating the degree of hydrocephalus (area under the receiver operating characteristic curve = 0.975; 95% confidence interval, 0.948-1.000; < 0.001). With a cut-off value of 2.4%, the diagnosis of unchanged hydrocephalus could be made with 83.0% sensitivity and 100.0% specificity.

CONCLUSION

The ventricular volume percentage quantified using 3D brain CT data is useful for interpreting serial changes in hydrocephalus.

摘要

目的

评估使用三维(3D)脑计算机断层扫描(CT)数据量化的心室容积百分比在解释脑积水的连续变化中的有用性。

材料和方法

对 38 例脑积水患者的 113 次脑 CT 检查(脑 CT 检查时年龄≤18 岁),使用半自动基于 3D 阈值的分割方法对颅内和脑室容积进行量化。使用 75 对连续脑 CT 对(时间间隔 173.6±234.9 天)计算脑室容积百分比的变化,并与脑积水变化的常规评估(增加、不变或减少)进行比较。使用接收器操作特征曲线分析计算诊断脑积水无变化的截断值。在 20 次脑 CT 检查的子集上使用组内相关系数评估容积测量的可重复性。

结果

平均颅内体积、脑室体积和脑室容积百分比分别为 1284.6±297.1cm³、249.0±150.8cm³和 19.9±12.8%。容积测量具有高度可重复性(组内相关系数=1.0)。不变组(n=28)脑室容积百分比的连续变化(0.8±0.6%)明显小于增加组和减少组(分别为 6.8±4.3%和 5.6±4.2%;=0.001 和<0.001,n=11 和 n=36)。脑室容积百分比是评估脑积水程度的优秀参数(接收器操作特征曲线下面积=0.975;95%置信区间,0.948-1.000;<0.001)。当截断值为 2.4%时,诊断脑积水不变的敏感度为 83.0%,特异度为 100.0%。

结论

使用 3D 脑 CT 数据量化的心室容积百分比可用于解释脑积水的连续变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e384/7909866/f6d285c394ee/kjr-22-435-g001.jpg

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