MedTrace Logo

CT-Based Deep Learning for Differentiating Acute and Chronic Osteoporotic Vertebral Compression Fractures

NCT07306858 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 276

Last updated 2025-12-31

No results posted yet for this study

Summary

Osteoporotic vertebral compression fractures are common in older adults and may present as either acute or chronic fractures. Correctly distinguishing acute from chronic fractures is clinically important because treatment strategies and management decisions differ depending on fracture chronicity. However, differentiating acute and chronic osteoporotic vertebral compression fractures based on imaging findings alone can be challenging in routine clinical practice.

This retrospective study aims to develop an intelligent diagnostic system based on computed tomography (CT) images to differentiate acute and chronic osteoporotic vertebral compression fractures. Clinical and imaging data from patients diagnosed with osteoporotic vertebral compression fractures will be collected from the First Affiliated Hospital of Chongqing Medical University and an additional medical center. A deep learning model will be trained to automatically analyze CT images and classify fractures as acute or chronic.

The results of this study may help improve the accuracy and efficiency of fracture chronicity assessment using CT images and provide supportive information for clinical decision-making regarding treatment selection in patients with osteoporotic vertebral compression fractures.

Conditions

  • Osteoporotic Vertebral Compression Fractures

Interventions

OTHER

No Intervention (Observational Study)

This is a retrospective observational study. No therapeutic, diagnostic, or preventive intervention is assigned as part of the study. All analyses are based on previously acquired clinical and imaging data.

Sponsors & Collaborators

  • Xin Fan

    lead OTHER

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-16
Primary Completion
2025-12-29
Completion
2026-01-15

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07306858 on ClinicalTrials.gov