Epidural anesthesia needle guidance by forward-view endoscopic optical coherence tomography and deep learning.

ABSTRACT: Epidural anesthesia requires injection of anesthetic into the epidural space in the spine. Accurate placement of the epidural needle is a major challenge. To address this, we developed a forward-view endoscopic optical coherence tomography (OCT) system for real-time imaging of the tissue in front of the needle tip during the puncture. We tested this OCT system in porcine backbones and developed a set of deep learning models to automatically process the imaging data for needle localization. A series of binary classification models were developed to recognize the five layers of the backbone, including fat, interspinous ligament, ligamentum flavum, epidural space, and spinal cord. The classification models provided an average classification accuracy of 96.65%. During puncture, it is important

SUBMITTER: Wang C 

PROVIDER: S-EPMC9156706 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature