• Register
  • Login

Iranian Journal of Child Neurology

  • Home
  • About
    • About the Journal
    • Indexing & Abstracting
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  • Current
  • Archives
  • Announcements
Advanced Search
  1. Home
  2. Archives
  3. Vol. 20 No. 1 (2026)
  4. Research Article

Vol. 20 No. 1 (2026)

January 2026

Age-Specific Biometric Ratios of the Posterior Fossa in Pediatric Neuroimaging: Establishing Normative Reference Values

  • Sam Mirfendereski
  • Shahin Fesharaki
  • Mohadeseh Zadehmir

Iranian Journal of Child Neurology, Vol. 20 No. 1 (2026), 1 January 2026 , Page 9-16
https://doi.org/10.22037/ijcn.v20i1.48884 Published: 2026-01-01

  • View Article
  • Download
  • Cite
  • References
  • Statastics
  • Share

Abstract

Objectives:

Understanding normative biometric data of the posterior fossa is imperative to elucidate pathological alterations. Consequently, a reference for normative biometric data on posterior fossa structures in pediatric populations is essential for diagnosing cerebellar hypoplasia and other associated anomalies. However, a comprehensive set of objective, age-stratified biometric ratios for key posterior fossa structures is lacking, limiting diagnostic precision. To the best of our knowledge, only one study has evaluated the biometric data of the posterior fossa components in children.

Materials & Methods:

The current study is a cross-sectional study conducted among children hospitalized at Imam Hossein Children’s Hospital in Isfahan, Iran, in 2022-2023. All magnetic resonance imaging (MRI) examinations, including midline sagittal sections, performed in children ≤ 15 years of age, were included. Patients with a clinical history of posterior fossa involvement or MRI abnormalities were excluded from this study. Two-dimensional (2D) parameters, including the height of the vermian (H-V), anterior-posterior diameter of the vermis (APD-V), anterior-posterior diameter of the midbrain-pons junction (APD-MP), and anterior-posterior diameter of the midpons, were all measured. Four biometric ratios were calculated to normalize posterior fossa morphology across age groups, accounting for individual size variability and providing objective criteria.

Results: Four hundred twenty patients, with a mean age of 5.79 ± 4.02 years, were investigated, of whome 222 (52.9%) were boys. All parameters, except APD-V, were significantly higher in boys than in girls. Although boys had a higher mean APD-V than girls, this difference was not statistically significant. In addition, all studied parameters had the fastest growth rates in the first year and continued to grow more slowly until the end of the 15th year. Key findings reveal a mean APD-P/APD-V ratio of 0.77 ± 0.09. The ratio was generally higher in older children, indicating that pontine growth outpaces vermian expansion during development—values near or above 1.00 may suggest pontocerebellar hypoplasia. The H-V/APD-V ratio (mean 1.72 ± 0.18) shows a dip in early childhood, particularly at 1-3 years, suggestingtransient vermian flattening. The H-V/APD-P ratio declines from ~2.30 in infancy to ~2.11 in adolescence, reflecting posterior fossa maturation. Meanwhile, the APD-P/APD-MP ratio remains consistently around 1.91-1.95, aligning with the expected 2:1 anatomical norm, and serving as a reliable reference across age and sex groups.

Conclusion: The present study showed that all posterior fossa parameters, except APD-V, were significantly higher in boys. This study establishes normative reference values for key posterior fossa ratios. The APD-P/APD-V ratio (mean 0.77 ± 0.09) increases with age, while the H-V/APD-P ratio declines from ~2.30 to ~2.11. The APD-P/APD-MP ratio remains stable at ~1.91, consistent with the 2:1 anatomical norm. These objective criteria provide quantifiable thresholds for detecting anomalies like pontocerebellar hypoplasia.

Keywords:
  • Data Sets
  • Posterior fossa
  • Magnetic resonance imaging
  • Pediatrics
  • pdf

How to Cite

Mirfendereski, S., Fesharaki, S., & Zadehmir, M. (2026). Age-Specific Biometric Ratios of the Posterior Fossa in Pediatric Neuroimaging: Establishing Normative Reference Values. Iranian Journal of Child Neurology, 20(1), 9–16. https://doi.org/10.22037/ijcn.v20i1.48884
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

References

Şeker A, Rhoton Jr AL. The Anatomy of the Posterior Cranial Fossa. Posterior Fossa Tumors in Children: Springer; 2015. p. 75-99.

Bosemani T, Orman G, Boltshauser E, Tekes A, Huisman TA, Poretti A. Congenital abnormalities of the posterior fossa. Radiographics. 2015;35(1):200-20.

Acer N, Turgut M, Yilmaz S, Güler HS. Measurement of the volume of the posterior cranial fossa using MRI. The Chiari Malformations. 2020:329-39.

Metwally MI, Basha MAA, AbdelHamid GA, Nada MG, Ali RR, Frere RAF, Elshetry ASF. Neuroanatomical MRI study: reference values for the measurements of brainstem, cerebellar vermis, and peduncles. The British Journal of Radiology. 2021;94(1120):20201353.

Ber R, Bar-Yosef O, Hoffmann C, Shashar D, Achiron R, Katorza E. Normal fetal posterior fossa in MR imaging: new biometric data and possible clinical significance. American Journal of Neuroradiology. 2015;36(4):795-802.

Raininko R, Autti T, Vanhanen S-L, Ylikoski A, Erkinjuntti T, Santavuori P. The normal brain stem from infancy to old age: a morphometric MRI study. Neuroradiology. 1994;36:364-8.

Polat SÖ, Öksüzler FY, Öksüzler M, Yücel AH. The morphometric measurement of the brain stem in Turkish healthy subjects according to age and sex. Folia morphologica. 2020;79(1):36-45.

Debnath J, Sharma V, Patrikar S, Krishna S, Shijith K, Keshav RR. Normal measurements of brainstem and related structures for all ages: An MRI-based morphometric study. Medical Journal Armed Forces India. 2023;79(4):428-38.

Klein A, Ulmer J, Quinet S, Mathews V, Mark L. Nonmotor functions of the cerebellum: an introduction. American Journal of Neuroradiology. 2016;37(6):1005-9.

Accogli A, Addour-Boudrahem N, Srour M. Diagnostic approach to cerebellar hypoplasia. The Cerebellum. 2021:1-28.

du Plessis AJ, Limperopoulos C, Volpe JJ. Cerebellar development. Volpe's Neurology of the Newborn: Elsevier; 2018. p. 73-99.

Roozpeykar S, Azizian M, Zamani Z, Farzan MR, Veshnavei HA, Tavoosi N, et al. Contrast-enhanced weighted-T1 and FLAIR sequences in MRI of meningeal lesions. American Journal of Nuclear Medicine and Molecular Imaging. 2022;12(2):63.

Kyriakopoulou V, Vatansever D, Davidson A, Patkee P, Elkommos S, Chew A, et al. Normative biometry of the fetal brain using magnetic resonance imaging. Brain Structure and Function. 2017;222:2295-307.

Ber R, Hoffman D, Hoffman C, Polat A, Derazne E, Mayer A, Katorza E. Volume of structures in the fetal brain measured with a new semiautomated method. American Journal of Neuroradiology. 2017;38(11):2193-8.

Jandeaux C, Kuchcinski G, Ternynck C, Riquet A, Leclerc X, Pruvo J-P, Soto-Ares G. Biometry of the cerebellar vermis and brain stem in children: MR imaging reference data from measurements in 718 children. American Journal of Neuroradiology. 2019;40(11):1835-41.

Shi P, Feng X. Motor skills and cognitive benefits in children and adolescents: Relationship, mechanism and perspectives. Frontiers in Psychology. 2022;13:1017825.

Hadders-Algra M. Variation and variability: key words in human motor development. Physical therapy. 2010;90(12):1823-37.

Gilmore JH, Knickmeyer RC, Gao W. Imaging structural and functional brain development in early childhood. Nature Reviews Neuroscience. 2018;19(3):123-37.

Genon S, Eickhoff SB, Kharabian S. Linking interindividual variability in brain structure to behaviour. Nature Reviews Neuroscience. 2022;23(5):307-18.

Nagaraj U, Kline-Fath B, Horn P, Venkatesan C. Evaluation of posterior fossa biometric measurements on fetal MRI in the evaluation of Dandy-Walker continuum. American Journal of Neuroradiology. 2021;42(9):1716-21.

Mckinnon K, Kendall GS, Tann CJ, Dyet L, Sokolska M, Baruteau KP, et al. Biometric assessments of the posterior fossa by fetal MRI: a systematic review. Prenatal diagnosis. 2021;41(2):258-70.

Makris N, Schlerf JE, Hodge SM, Haselgrove C, Albaugh MD, Seidman LJ, et al. MRI-based surface-assisted parcellation of human cerebellar cortex: an anatomically specified method with estimate of reliability. Neuroimage. 2005;25(4):1146-60.

Joyal CC, Pennanen C, Tiihonen E, Laakso MP, Tiihonen J, Aronen HJ. MRI volumetry of the vermis and the cerebellar hemispheres in men with schizophrenia. Psychiatry Research: Neuroimaging. 2004;131(2):115-24.

Sathyanesan A, Zhou J, Scafidi J, Heck DH, Sillitoe RV, Gallo V. Emerging connections between cerebellar development, behaviour and complex brain disorders. Nature Reviews Neuroscience. 2019;20(5):298-313.

  • Abstract Viewed: 37 times

Download Statastics

  • Linkedin
  • Twitter
  • Facebook
  • Google Plus
  • Telegram

Developed By

Open Journal Systems
  • Home
  • Archives
  • Submissions
  • About the Journal
  • Editorial Team
  • Contact
Powered by OJSPlus