Anesthesia & Clinical Research
Open Access
ISSN: 2155-6148
ISSN: 2155-6148
Department of Anesthesia, Rivanna Medical, Charlottesville, USA
Research Article
Imaging Performance of a Handheld Ultrasound System for Thoracic Epidural Analgesia Guidance
Author(s): Amitabh Gulati, Chandni Patel, Ajay Patel, Jason Chang, Rachel Newman, Kathryn Ozgun, Adam J. Dixon* and F. William Mauldin
The aim of this study was to evaluate the performance of an ultrasound system with Computer-Aided Detection (CAD) of thoracic spinal landmarks and a thoracic epidural needle guidance algorithm. This study was approved by the institutional review board of the Memorial Sloan Kettering Cancer Center, NY, USA. Algorithm performance was evaluated by imaging the thoracic spines of 55 adult volunteers presenting for pain therapy unrelated to the thoracic spine. The accuracy of the CAD for neuraxial landmark detection was assessed by comparing automated measurements of the lamina depth and midline position to ground-truth annotations provided by physician reviewers. The sensitivity and specificity of the needle guidance algorithm was measured by reviewing the proposed needle trajectory in 435 images. The CAD algorithm detected the lamina depth with an error of 2 mm (95% CI, 1.79-2.39 mm). The.. View More»
DOI:
10.35248/2155-6148.22.13.1059