MedTrace Logo

Deep Learning-based sbORN Diagnostic Model

NCT06463392 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 312

Last updated 2024-10-01

No results posted yet for this study

Summary

Skull-base osteonecrosis (sbORN) is a severe long-term complication of nasopharyngeal carcinoma (NPC) post radiotherapy, which significantly diminish the quality of life, increase the risk of internal carotid artery rupture, and is frequently misdiagnosed as NPC recurrence. Novel diagnostic tools are therefore clinically significant. In this study, the investigators seek to ask if a deep-learning-based model shows a significantly higher sensitivity than radiologists. With a cross-sectional design, the investigators aim to recruit 312 participants in Sun Yat-sen Memorial Hospital, Guangzhou, China that meet the eligibility criteria.

Conditions

  • Nasopharyngeal Carcinoma
  • Herpesvirus 4, Human

Interventions

OTHER

No Intervention: Observational Cohort

No intervention is scheduled for this observational study.

Sponsors & Collaborators

  • Sun Yat-sen University

    collaborator OTHER

  • Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China

    collaborator UNKNOWN

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-01
Primary Completion
2029-12-31
Completion
2030-12-31

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 NCT06463392 on ClinicalTrials.gov