Enlarged cavum septi pellucidi Z-scores in fetuses with trisomy 18

Xue Zhou1, Mei-Fang Lin2, Li-Hong Wu2

  • 1Department of Ultrasonic Medicine, Guangzhou Women and Children's Medical Center, Guangzhou, Guangdong, China.

Insights

New formulas for fetal cavum septi pellucidi (CSP) width Z-scores aid in diagnosing 18-trisomy syndrome. Enlarged CSP width Z-scores are a potential new marker for prenatal diagnosis.

Area of Science:

  • Prenatal diagnosis
  • Fetal medicine
  • Genetics

Background:

  • The cavum septi pellucidi (CSP) is a midline brain structure routinely visualized during fetal ultrasound.
  • Abnormalities in CSP development can be associated with various fetal conditions, including chromosomal abnormalities.
  • Accurate measurement and interpretation of fetal CSP dimensions are crucial for prenatal assessment.

Purpose of the Study:

  • To develop a formula for calculating fetal cavum septi pellucidi (CSP) width Z-scores based on gestational age.
  • To compare CSP width between normal fetuses and those with trisomy 18 (Edwards syndrome).
  • To evaluate the utility of CSP width Z-scores as a potential marker for prenatal diagnosis of trisomy 18.

Main Methods:

  • Retrospective analysis of 608 normal fetuses and 71 fetuses with trisomy 18.
  • Calculation of CSP width Z-scores using regression analysis to establish normal reference ranges.
  • Comparison of CSP width Z-scores between normal and trisomy 18 groups using the Mann-Whitney U test.

Main Results:

  • Formulas for calculating CSP width Z-scores were successfully established.
  • Normal fetal CSP width showed a significant correlation with gestational age (R² = 0.50, p < .01).
  • Fetuses with trisomy 18 demonstrated significantly enlarged CSP width and Z-scores (p < .01), with 69% showing enlarged measurements.

Conclusions:

  • Established CSP width Z-score formulas provide a quantitative tool for prenatal diagnosis of trisomy 18.
  • Enlarged CSP width Z-score can serve as a novel prenatal diagnostic marker for 18-trisomy syndrome.
  • This quantitative approach enhances the accuracy of identifying fetuses at risk for trisomy 18.
Abstract