Development and validation of deep learning models for identifying the brand of pedicle screws on plain spine radiographs.

ABSTRACT:

Background

In spinal revision surgery, previous pedicle screws (PS) may need to be replaced with new implants. Failure to accurately identify the brand of PS-based instrumentation preoperatively may increase the risk of perioperative complications. This study aimed to develop and validate an optimal deep learning (DL) model to identify the brand of PS-based instrumentation on plain radiographs of spine (PRS) using anteroposterior (AP) and lateral images.

Methods

A total of 529 patients who received PS-based instrumentation from seven manufacturers were enrolled in this retrospective study. The postoperative PRS were gathered as ground truths. The training, validation, and testing datasets contained 338, 85, and 106 patients, respectively. YOLOv5 was used to crop out the scre

SUBMITTER: Yao YC 

PROVIDER: S-EPMC11406509 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature