Development of a methodology for the volume estimation of the prefrontal cortical subfields in very pre-term infants using magnetic resonance imaging and stereology
Article Category: Original article
Published Online: Aug 31, 2025
Page range: 174 - 182
DOI: https://doi.org/10.2478/abm-2025-0023
Keywords
© 2025 Faten Aldhafeeri, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Background
The prefrontal cortex (PFC) is vital for cognitive and emotional functions and is vulnerable to disruptions in preterm infants. Reliable volume estimation methods are needed to study its development.
Objective
To develop and validate a novel method for estimating the volume of PFC subfields in very preterm infants using magnetic resonance imaging (MRI) combined with stereological techniques. The method was designed to achieve a coefficient of error (CE) below 5%.
Methods
Five preterm infants born before 28 weeks of gestation were scanned using a 1.5-Tesla MRI scanner. The points of intersection between the grid and structure boundaries, in addition to the points in each slice, were counted using in-house software (Easy Measure).
Results
The shape coefficient for each subfield of the prefrontal cortex was calculated, which yielded coefficients of 4.5, 6.1, 6.4, and 6.5 for dorsolateral, dorsomedial, orbitolateral, and orbitomedial PFC regions, respectively. For the dorsolateral prefrontal cortex, a grid size of 4 × 4 pixels and a 0.2 cm slice gap for the dorsomedial prefrontal cortex (DMPFC), a grid size of 5 × 5 pixels and a 0.1 cm slice gap for the orbitolateral PFC, a grid size of 5 × 5 pixels and a 0.3 cm slice gap, and a grid size of 5 × 5 pixels and 0.1 cm slice gap for the DMPFC resulted in <5% CE.
Conclusion
This methodology offers new insights into the neurodevelopmental effects of preterm birth and has potential applications in the early detection of neurodevelopmental disorders. Its precision, reliability, and non-invasive nature make it suitable for longitudinal studies and contribute to neonatal neuroimaging and neurodevelopmental research.