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DOI 10.3390/tomography12040053

Медицинская библиотека · Tomography (Ann Arbor, Mich.) · 2026

MRI-Based Evaluation of Lumbar Epidural Space Depth and Its Correlation with Anthropometric Factors in Saudi Adults.

Alsaati Ilhaam, Alyahya Khaleel, Alharbi Mohammed, Hamd Zuhal Y, Alhegail Shaden

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Аннотация

Background

Epidural procedures benefit from a pre-procedural informed estimation of epidural depth, as anticipating the approximate distance can support safer needle placement and reduce technical difficulties during analgesia or anesthesia procedures. The influence of ethnicity has been established across different populations worldwide; however, there is a lack of Saudi-specific MRI data on epidural depth among the adult population. Aim of this Study: To measure the skin to epidural space distance (SED) at the lumbar interspaces L3-L4 and L4-L5 in the Saudi adult population using magnetic resonance imaging (MRI) and to examine its correlations with age, sex, height, weight, and body mass index (BMI).

Methods

In this retrospective cross-sectional study, sagittal T1-weighted lumbar MRI images of the spine of 169 adult Saudi patients were studied. The age group ranged from 20 to 70 years, with an equal distribution of males and females. The skin to epidural space distance (SED) was measured at the L3-L4 and L4-L5 interspaces, and its correlations with age, sex, height, weight, and BMI were analyzed.

Results

The average measurement of skin to epidural space distance (SED) was 59.08 mm in L3-L4, and 63.21 in L4-L5. BMI and weight showed strong positive correlations with SED across both levels. Female sex was associated with longer SED values at L4-L5. There was no significant correlation between SED and age or height of the patients.

Conclusions

MRI-based assessment of SED revealed strong correlations with weight and BMI, but no correlation with height, age, and sex. These findings support the individualized estimation of epidural depth and needle length selection to enhance procedural safety and reduce complications.

Для цитирования: Alsaati Ilhaam, Alyahya Khaleel, Alharbi Mohammed, Hamd Zuhal Y, Alhegail Shaden. MRI-Based Evaluation of Lumbar Epidural Space Depth and Its Correlation with Anthropometric Factors in Saudi Adults.. Tomography (Ann Arbor, Mich.). 2026. DOI: 10.3390/tomography12040053.

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