Using computed tomography scans and patient demographic data to estimate thoracic epidural space depth

Area of Science:

• Anesthesiology
• Radiology
• Neurosurgery

Background:

• Accurate estimation of the epidural space depth is crucial for thoracic epidural catheter placement.
• Previous methods for depth estimation have varied, leading to potential inaccuracies.
• Computed tomography (CT) scans offer a precise way to visualize anatomical structures.

Purpose of the Study:

• To correlate computed tomography (CT) derived epidural space depth with loss of resistance (LOR) measurements.
• To investigate the influence of patient demographics and vertebral level on thoracic epidural catheter depth estimation.
• To develop a more reliable method for predicting epidural space depth in thoracic procedures.

Main Methods:

• Retrospective review of 218 patients undergoing thoracic epidural catheter placement.
• Collection of patient demographics, epidural insertion site, and technique.
• Measurement of skin-to-epidural space distance using preoperative CT scans.
• Multivariate linear regression analysis to identify correlations.

Main Results:

• The mean LOR measurement was significantly greater than the mean CT epidural space depth (0.79 cm difference, p < 0.001).
• A significant positive correlation was found between LOR measurements and CT-measured epidural space depth (R² = 0.5692, p < 0.0001).
• The final multivariate model, adjusted for demographics and technique, confirmed this positive correlation.

Conclusions:

• LOR measurements are positively correlated with CT-derived epidural space depth and patient demographics.
• Estimating LOR using CT measurements and patient data can be a valuable tool for thoracic epidural catheter placement.
• This approach can enhance procedural safety and efficacy for patients undergoing thoracic or abdominal surgery.