Volumetric Descriptors of the Encephalic Ventricular System in Multislice Computed Tomography Images
Abstract
Introduction: Brain morphology and its association with development, functioning, and age-related neurodegenerative processes is crucial for the advancement of neurosciences, as well as for the diagnosis and monitoring of various nosological entities.
Objective: To determine volumetric variations of the encephalic ventricular system according to sex, in a population with normal global cognitive functions.
Methods: An observational cross-sectional study was conducted from July to December 2021 at the Conrado Benítez Oncological Hospital in Santiago de Cuba, using multislice computed tomography images. A non-probabilistic sample of 30 adults aged between 45 and 54 years was used. All subjects had negative neurological physical examination, psychiatric evaluation, and neuropsychological status, and had a prior indication for a simple cranial computed tomography, the results of which were entirely reported as negative for old or recent structural alterations.
Results: When evaluating potential factors related to volumetry, only the distribution according to sex and the volumetric values of the third ventricle of the brain showed statistical significance (p = 0.013). The volumes of the fourth ventricle and the lateral ventricles did not show statistical significance (p = 0.35).
Conclusions: Sex had a significant effect when correlated with the volumetry of the third ventricle, with greater magnitudes of this cavity observed in males. The cavities of the fourth ventricle and the lateral ventricles showed similar behavior, although without statistical significance.
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1.Hernández Cortés KS, Mesa Pujals A, Romero García I, Sagaró del Campo M, Montoya Pedrón A. Volumetría encefálica en imágenes de tomografía computarizada en adultos con funciones cognitivas normales. Neurol Arg. 2023[citado 26/01/2025];15(2):78-86. Disponible en: https://www.sciencedirect.com/science/article/abs/pii/S1853002822000623?via%3Dihub
2.Blatter DD, Bigler ED, Gale SD, Johnson SC, Anderson CV, Burnett BM, et al. Análisis volumétrico cuantitativo de la resonancia magnética cerebral: base de datos normativa que abarca 5 décadas de vida. AJNR Am J Neuroradiol. 1995 [citado 24/02/2025];16(2):241–51. Disponible en: https://www.ajnr.org/content/ajnr/16/2/241.full.pdf
3.De Arriba Heras DC, Plasencia Martínez DJM, Trejo Gallego DC, Jiménez Leciñena DC, Sánchez Serrano DI, Vázquez Olmos DC, et al. Ventriculomegalia cerebral: reproducibilidad y rendimiento diagnóstico del índice de Evans con un estándar de referencia visual. Seram. 2022[citado 24/01/2025];1(1). Disponible en: https://piper.espacio-seram.com/index.php/seram/article/view/8443
4.Aboian M, Bousabarah K, Kazarian E, Zeevi T, Holler W, Merkaj S, et al. Implementación clínica de inteligencia artificial en neurorradiología con el desarrollo de un nuevo sistema de archivo y comunicación de imágenes con flujo de trabajo eficiente basado en la segmentación automatizada de tumores cerebrales y la extracción de características radiómicas. Front. Neurosci. 2022 [citado 24/01/2025];16. Disponible en: https://pubs-rsna-org.translate.goog/doi/full/10.1148/radiol.212151?_x_tr_sl=en&_x_tr_tl=es&_x_tr_hl=es&_x_tr_pto=tc
5.Saracgil A, Kapakin S. Morphometric and volumetric analysis of lateral ventricles by magnetic resonance imaging: a study on age and gender. Surg. Radiol. Anat: SRA. 2025[citado 26/01/2025];47:16. Disponible en: https://www.ijars.net/articles/PDF/2928/65902_CE[Ra1]_F(IS)_QC(KK_Vi_SHU)_PF1(AvG_SHU)_redo_PFA(SHU)_PN(SHU).pdf
6.Salk I, Atalar MH, Sezer F, Egilmez H, Cetin A., Arslan M. An MRI study of age-related changes in the dimensions related temporal lobe. International journal of clinical and experimental medicine. Int J Clin Exp Med. 2014[citado 02/012/2025];7(3): 515–22. Disponibe en: https://pmc.ncbi.nlm.nih.gov/articles/PMC3992388/
7.Mohammed Ambarak OO, Abtehag TA, Mohammad A, Abdalla, Elsherif A, Azza S
Greiw H. Morphometric Evaluation of Fourth Ventricle by Using Magnetic Resonance Imaging. RAS Medical Science. 2021[citado 06/01/2026]. Disponible en:https://www.academia.edu/64210756/Morphometric_Evaluation_of_Fourth_Ventricle_by_Using_Magnetic_Resonance_Imaging
8.Statsenko Y, Habuza T, Smetanina D, Simiyu GL, Uzianbaeva L, Neidl Van Gorkom K, et al. Brain Morphometry and Cognitive Performance in Normal Brain Aging: Age- and Sex-Related Structural and Functional Changes. Front Aging Neurosci. 2022 [citado 26/01/2025];13:713680. Disponible en: https://pmc.ncbi.nlm.nih.gov/articles/PMC8826453/
9.Basak D, Yesmin N, Tasmia K, Chowdhury K, Zahur T, Roy S, et al. Frontal Horn of Lateral Ventricle of Brain and Its Relation with Age, Gender and Side: Morphometric Study by Computed Tomography among Bangladeshi Population. IAHS Med. J. 2024[citado 19/02/2026];7(1):54-9. Disponible en: https://www.researchgate.net/publication/385283933_Frontal_horn_of_lateral_ventricle_of_brain_and_its_relationship_with_age_gender_and_Side_Morphometric_study_by_computed_tomography_among_Bangladeshi_population
10.Mesa Pujals AA, Hernández Cortés KS, Montoya Pedrón A, Bolaños Vaillant S, Álvarez Guerra ED. Análisis de texturas homogéneas para la estimación volumétrica de la materia cerebral por tomografía computarizada. RCIM 2022 [citado 03/01/2025];14(1). Disponible en: http://scielo.sld.cu/pdf/rcim/v14n1/1684-1859-rcim-14-01-e512.pdf
11.DeCasien AR, Guma E, Liu S, Raznaham A. Sex differences in the human brain: a roadmap for more careful analysis and interpretation of a biological reality. Biol Sex Differ. 2022[citado 03/2025];13:43. Disponible en: https://link.springer.com/article/10.1186/s13293-022-00448-w
12.Mustafiz M, Sidney NZ, Shahnewaz SS. A study of third and fourth ventricular sizes in Bangladeshi adults using computed tomography scan. Int Surg J. 2024[citado 11/03/2025];11(2):179-83. Disponible en: https://www.ijsurgery.com/index.php/isj/article/view/10191
13.Hernández Cortés KS, Sagaró del Campo NM, Montoya Pedrón A. Morfometría del sistema ventricular encefálico en adultos con funciones cognitivas normales. Rev Cubana Med Milit. 2023[citado 24/01/2025];52(3):e02303014. Disponible en: https://revmedmilitar.sld.cu/index.php/mil/article/view/3014/2162
14. Mazorra Pazos MJ. Enfermedad de párkinson como inicio de hidrocefalia de presión normal. Presentación de un caso. Rev. Finlay. 2022[citado 26/02/2026];12(4):485-90. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S222124342022000400485&lng=es
15.Hernández Cortés KS. Morfometría de los ventrículos laterales en imágenes de Tomografía Computarizada propio del envejecimiento. Cuba Salud. 2022 [citado 26/01/2025]:7. Disponible en: https://convencionsalud.sld.cu/index.php/convencionsalud22/2022/paper/viewFile/8/831
16.Hamidu AU, David SE, Olarinoye Akorede SA, Danborno B, Jimoh A, Fatai O. Third and Fourth Cerebral Ventricular Sizes among Normal Adults in Zaria-Nigeria. Sub-Saharan Afr J Med. 2016[citado 26/01/2025];2(2):89-2. Disponible en: https://journals.lww.com/ssjm/fulltext/2015/02020/third_and_fourth_cerebral_ventricular_sizes_among.7.aspx
17.Shanmugan S, Seidlitz J, Cui Z, Adebimpe A, Bassett DS, Bertolero MA, et al. Diferencias de sexo en la topografía funcional de las redes de asociación en jóvenes. PNAS. 2024[citado 26/01/2025];119(33): e590660. Disponible en: https://pmc-ncbi-nlm-nih-gov.translate.goog/articles/PMC11071409/?_x_tr_sl=en&_x_tr_tl=es&_x_tr_hl=es&_x_tr_pto=tc
18.Stellmann JP, Wanke N, Maarouf A, Gellißen S, Heesen C, Audoin B. El rendimiento cognitivo muestra asociaciones específicas del dominio con el grosor cortical regional en la esclerosis múltiple. Neurolmage: Cinica. 2021[citado 26/01/2025];30:12606. Disponible en: https://www-sciencedirect-com.translate.goog/science/article/pii/S2213158221000504?_x_tr_sl=en&_x_tr_tl=es&_x_tr_hl=es&_x_tr_pto=tc
19.Del Mauro G, Del Maschio N, Sulpizio S, Fedeli D, Perani D, Abutalebi J. Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry. Brain Struct. Funct. 2022[citado 26/01/2025];227:11–21.Disponible en: https://www.researchgate.net/publication/354648943_Investigating_sexual_dimorphism_in_human_brain_structure_by_combining_multiple_indexes_of_brain_morphology_and_source-based_morphometry
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