English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Scoliotic deformity correction is usually addressed with a posterior spinal fusion (PSF) approach. PSF operations are significantly invasive but can become safer and more efficient by reducing the number of ligament releases performed. However, PSF pre-operative planning to lessen ligament releases is constrained by current diagnostic imaging, which struggles with soft tissue localization, causing ligament release minimisation to be indeterminable. Patient-specific meshes that encompass vertebrae, intervertebral disks, ligaments, and other soft tissue may more accurately guide these pre-operative planning studies as well as intra-operative, computer-assisted surgery (CAS) systems supporting deformity correction. Further, merging physician-designated anatomical landmarks and pre-existing surgical ontologies into a resource description framework (RDF) format permits real-time, CAS guidance accommodating countless surgical workflows. By combining RDF-driven CAS guidance and patient-specific meshes, preoperative and intraoperative support of PSF procedures can be achieved at an individualised level. This study presents an early implementation of this combination, as the ‘Surgical GPS’.

Application of the ‘Surgical GPS’ to posterior spinal fusion procedures for scoliosis correction