Ontology highlight
ABSTRACT: Background
Pelvic fracture surgery is a highly complex and skill-dependent procedure due to adjacent neurovascular structures. These challenges often result in prolonged operative time, elevated complication rates, and repeated reduction attempts. To support surgeons in overcoming these difficulties, our study introduces a rapid modeling approach that enables precise preoperative planning and quantitative evaluation of reduction strategies.Methods
We developed an automated patient-specific modeling method that integrates Statistical Shape Models with the personalized modeling modules of the OpenSim software's Application Programming Interface for generating personalized musculoskeletal models. Using this approach, we rapidly reconstructed reduction models for 10 patients (a
SUBMITTER: Liu J
PROVIDER: S-EPMC12738769 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature