Hadjidekov George, Haynatzki Gleb, Chaveeva Petya, Nikolov Miroslav, Masselli Gabriele, Rossi Andrea
Department of Radiology, University Hospital Lozenetz, Koziak 1 Str., 1407 Sofia, Bulgaria.
Department of Physics, Biophysics and Radiology, Faculty of Medicine, Sofia University "St Kliment Ohridski", 1504 Sofia, Bulgaria.
Diagnostics (Basel). 2023 Mar 20;13(6):1183. doi: 10.3390/diagnostics13061183.
We provide a study comparison between two-dimensional measurement and volumetric (3D) segmentation of the lateral ventricles and brain structures in fetuses with isolated and non-isolated ventriculomegaly with 3D virtual organ computer-aided analysis (VOCAL) ultrasonography vs. magnetic resonance imaging (MRI) analyzed with 3D-Slicer software. In this cross-sectional study, 40 fetuses between 20 and 38 gestational weeks with various degrees of ventriculomegaly were included. A total of 71 ventricles were measured with ultrasound (US) and with MRI. A total of 64 sonographic ventricular volumes, 80 ventricular and 40 fetal brain MR volumes were segmented and analyzed using both imaging modalities by three observers. Sizes and volumes of the ventricles and brain parenchyma were independently analyzed by two radiologists, and interobserver correlation of the results with 3D fetal ultrasound data was performed. The semiautomated rotational multiplanar 3D VOCAL technique was performed for ultrasound volumetric measurements. Results were compared to manually extracted ventricular and total brain volumes in 3D-Slicer. Segmentation of fetal brain structures (cerebral and cerebellar hemispheres, brainstem, ventricles) performed independently by two radiologists showed high interobserver agreement. An excellent agreement between VOCAL and MRI volumetric and two-dimensional measurements was established, taking into account the intraclass correlation coefficients (ICC), and a Bland-Altman plot was established. US and MRI are valuable tools for performing fetal brain and ventricular volumetry for clinical prognosis and patient counseling. Our datasets could provide the backbone for further construction of quantitative normative trajectories of fetal intracranial structures and support earlier detection of abnormal brain development and ventriculomegaly, its timing and progression during gestation.
我们通过3D虚拟器官计算机辅助分析(VOCAL)超声检查与使用3D-Slicer软件分析的磁共振成像(MRI),对孤立性和非孤立性脑室扩大胎儿的侧脑室和脑结构进行二维测量与容积(3D)分割的研究比较。在这项横断面研究中,纳入了40例孕20至38周、具有不同程度脑室扩大的胎儿。共对71个脑室进行了超声(US)和MRI测量。三位观察者使用两种成像方式对总共64个超声心动室容积、80个脑室和40个胎儿脑MR容积进行了分割和分析。两位放射科医生独立分析脑室和脑实质的大小和容积,并对结果与3D胎儿超声数据进行观察者间相关性分析。采用半自动旋转多平面3D VOCAL技术进行超声容积测量。将结果与3D-Slicer中手动提取的脑室和全脑容积进行比较。两位放射科医生独立进行的胎儿脑结构(大脑和小脑半球、脑干、脑室)分割显示观察者间高度一致。考虑组内相关系数(ICC),建立了VOCAL与MRI容积和二维测量之间的良好一致性,并绘制了Bland-Altman图。US和MRI是用于胎儿脑和脑室容积测量以进行临床预后评估和患者咨询的有价值工具。我们的数据可以为进一步构建胎儿颅内结构的定量标准轨迹提供基础,并支持更早地检测异常脑发育和脑室扩大、其发生时间以及孕期进展情况。