Objectives: The present study aimed to analyze the growth dynamics of the ossification centers of the seventh cervical (C7) vertebra in the human fetus, focusing on linear, planar, and volumetric parameters of both the vertebral body and neural processes. Methods: The study was conducted on 55 human fetuses of both sexes (27 males and 28 females), aged 17–30 weeks’ gestation. High-resolution computed tomography, three-dimensional reconstruction, digital image analysis, and appropriate statistical modeling were used to obtain detailed morphometric measurements of the C7 ossification centers. Results: All morphometric parameters—length, cross-sectional area, and volume—of the vertebral body ossification center increased linearly with gestational age, except for the sagittal diameter, which followed a logarithmic growth pattern. Linear growth was likewise observed in all diameters of the neural process ossification centers, including length, width, cross-sectional area, and volume. No statistically significant sex-related or side-related differences were detected. Conclusions: The CT-based morphometric data and growth models for the ossification centers of C7 presented in this study offer preliminary reference values for the vertebra prominens during fetal development. Although limited by sample size, these results establish a baseline that may assist anatomists, radiologists, obstetricians, pediatricians, and spinal surgeons in assessing cervical-spine maturation and in detecting congenital anomalies prenatally. Further studies involving larger and more diverse fetal cohorts are warranted to validate and extend these observations.
Building similarity graph...
Analyzing shared references across papers
Loading...
Magdalena Grzonkowska
Michał Kułakowski
Karol Elster
Brain Sciences
Medical University of Lodz
Nicolaus Copernicus University
Collegium Medicum in Bydgoszcz
Building similarity graph...
Analyzing shared references across papers
Loading...
Grzonkowska et al. (Sat,) studied this question.
www.synapsesocial.com/papers/68d4724f31b076d99fa6ad65 — DOI: https://doi.org/10.3390/brainsci15091018