Normal fetal posterior fossa in MR imaging: New biometric data and possible clinical significance

R. Ber*, O. Bar-Yosef, C. Hoffmann, D. Shashar, R. Achiron, E. Katorza

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

BACKGROUND AND PURPOSE: Posterior fossa malformations are a common finding in prenatal diagnosis. The objectives of this study are to re-evaluate existing normal MR imaging biometric data of the fetal posterior fossa, suggest and evaluate new parameters, and demonstrate the possible clinical applications of these data. MATERIALS AND METHODS: This was a retrospective review of 215 fetal MR imaging examinations with normal findings and 5 examinations of fetuses with a suspected pathologic posterior fossa. Six previously reported parameters and 8 new parameters were measured. Three new parameter ratios were calculated. Interobserver agreement was calculated by using the intraclass correlation coefficient. RESULTS: For measuring each structure, 151-211 MR imaging examinations were selected, resulting in a normal biometry curve according to gestational age for each parameter. Analysis of the ratio parameters showed that vermian lobe ratio and cerebellar hemisphere ratio remain constant with gestational age and that the vermis-to-cisterna magna ratio varies with gestational age. Measurements of the 5 pathologic fetuses are presented on the normal curves. Interobserver agreement was excellent, with the intraclass correlation coefficients of most parameters above 0.9 and only 2 parameters below 0.8. CONCLUSIONS: The biometry curves derived from new and existing biometric data and presented in this study may expand and deepen the biometry we use today, while keeping it simple and repeatable. By applying these extensive biometric data on suspected abnormal cases, diagnoses may be confirmed, better classified, or completely altered.

Original languageEnglish
Pages (from-to)795-802
Number of pages8
JournalAmerican Journal of Neuroradiology
Volume36
Issue number4
DOIs
StatePublished - 1 Apr 2015

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