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This prospective observational study aims to investigate the clinical impact of lumbar cerebrospinal fluid (CSF) volume on spinal anesthesia characteristics. A total of 40 adult patients, aged 18 to 75 years and classified as ASA physical status I-III, who had undergone 3D T2-weighted lumbosacral MRI within the past six months, were enrolled. Intrathecal anesthesia was administered with 4 mL (20 mg) of 0.5% hyperbaric bupivacaine via the L3-L4 interspace in a sitting position.
CSF volume was measured from the lower half of the L1 vertebral body to the sacral end using the volume of interest (VOI) method on sagittal 3D T2-weighted MR images, processed with the ITK-SNAP software. Primary outcome was the correlation between lumbosacral CSF volume and peak sensory block level. Secondary outcomes included correlations with the onset time and duration of sensory and motor block, two-segment regression time, and patient characteristics such as height, weight, BMI, and age.
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Spinal anesthesia is a widely used and effective alternative to general anesthesia for surgeries performed below the L₁-L₂ level, where the spinal cord ends. However, the distribution and duration of local anesthetics in spinal anesthesia are often unpredictable due to factors such as anesthetic dose, injection speed and location, patient position, age, and body habitus. One important yet less predictable factor is the individual variability in cerebrospinal fluid (CSF) volume, especially in the lumbosacral region. Since CSF dilutes the intrathecally administered anesthetic, differences in CSF volume can significantly impact drug concentration and, consequently, block level and duration.
Advancements in imaging techniques such as ultrasound and MRI have contributed to more accurate estimations of CSF volume. While most studies have used ultrasound-based estimations, MRI-based evaluations remain limited. In this study, we aimed to investigate the effect of lumbosacral CSF volume, measured via 3D T₂-weighted MRI, on the duration and extent of spinal anesthesia. Understanding this relationship could improve predictability in spinal anesthesia and enhance personalized anesthetic planning.
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