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Updated: Jul 27, 2026

State of the Art Cranial Ultrasound Imaging in Neonates
Published on: February 2, 2015
Pars basilaris size to estimate fetal and young infant age using forensic post mortem CT imaging
Wolf Schweitzer1, Inga Siebke2, Mattias Kettner3
1Institute of Forensic Medicine, Universität Zürich, Zürich, Switzerland. wolf.schweitzer@irm.uzh.ch.
Insights
Accurate fetal and neonatal age estimation is crucial for forensic investigations. Pars basilaris bone measurements using post mortem computed tomography (PMCT) provide a reliable method for determining age in fetuses and newborns.
Area of Science:
- Forensic Anthropology
- Radiology
- Developmental Biology
Background:
- Accurate fetal and neonatal age determination is essential for medicolegal death investigations.
- The pars basilaris of the occipital bone offers a stable ossification center for age estimation due to its density and resistance to taphonomic changes.
- Post mortem computed tomography (PMCT) allows for precise measurement of skeletal structures in deceased individuals.
Purpose of the Study:
- To evaluate the reliability of pars basilaris biometry using PMCT for estimating fetal and neonatal age.
- To assess the accuracy of age estimation models based on maximum length (ML) and maximum width (MW) of the pars basilaris.
- To develop and validate a combined ML/MW model for improved age estimation accuracy.
Main Methods:
- Retrospective review of nine fetal and stillbirth/neonate PMCT cases with known ages.
- Measurement of pars basilaris ML and MW from PMCT reconstructions.
- Application of published regression equations and derivation of a combined model for age prediction with 95% confidence intervals.
Main Results:
- All nine cases had their known or estimated ages fall within the calculated 95% confidence intervals for age prediction.
- The combined ML/MW model demonstrated accurate age estimation within statistical confidence bounds.
- Maternal conditions like diabetes and alcohol exposure caused growth deviations but remained within confidence limits.
Conclusions:
- Pars basilaris biometry utilizing PMCT is a reliable and straightforward method for fetal and early infant age estimation in forensic contexts.
- The combined ML/MW model provides accurate age estimation, even with maternal or pathological influences on bone size.
- Further research is recommended to validate findings in diverse populations and explore integration with other growth markers.
Abstract:
Accurate determination of fetal or neonatal age is vital in forensic and medicolegal death investigations. The pars basilaris of the occipital bone, one of the earliest and densest ossification centers, is less susceptible to taphonomic alteration than other measurements, and exhibits predictable growth patterns. Utilizing post mortem computed tomography (PMCT), measurements of the pars basilaris - specifically its maximum length (ML) and maximum width (MW) - can be applied to validated regression models to estimate age. We retrospectively reviewed all fetal and stillbirth/neonate PMCT cases from our institution over the past eight years and identified nine cases with known or previously estimated ages. ML and MW of the pars basilaris were measured in thin maximum intensity projection reconstructions. Age predictions and 95% confidence intervals were calculated using published regression equations based separately on ML and MW. We also derived a combined model to yield a single age estimate with its corresponding confidence interval. In all nine cases, the predicted age intervals included the known or previously estimated age. The results indicate that pars basilaris biometry reliably estimates age using PMCT. Cases involving maternal conditions-such as diabetes, preeclampsia, and alcohol exposure-showed deviations from average pars basilaris growth but remained within statistical confidence limits. Pars basilaris biometry via standard PMCT protocols provides a straightforward method to approach fetal and early infant age estimation in forensic contexts. Although maternal and pathological factors can influence bone size, the combined ML/MW model is accurate within its 95% confidence bounds. Further research should validate these findings across diverse populations and investigate integration with additional growth markers.
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