Actively Recruiting

Age: 18Years +
All Genders
NCT06463392

Deep Learning-based sbORN Diagnostic Model

Led by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Updated on 2024-10-01

312

Participants Needed

1

Research Sites

339 weeks

Total Duration

On this page

Sponsors

S

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

Lead Sponsor

S

Sun Yat-sen University

Collaborating Sponsor

AI-Summary

What this Trial Is About

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

Official Title

Deep Learning-based sbORN Diagnostic Model

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Age 18 years or older
  • Histologically confirmed nonkeratinizing undifferentiated nasopharyngeal carcinoma
  • History of radical radiotherapy at nasopharynx
  • Complete remission for at least six months post-radiotherapy according to RECIST 1.1
  • No evidence of distant metastasis at recruitment
  • Diagnosis of skull-base osteonecrosis by senior radiologist with 2-4 Likert scores
  • Consent to biopsy under awake or general anesthesia
  • Consent to blood tests, EBV DNA and IgA tests, and MRI of nasopharynx and neck
  • Written informed consent provided
Not Eligible

You will not qualify if you...

  • MRI artifacts or other factors that interfere with radiological diagnosis and region of interest contouring
  • Suspected lesion not confined to nasopharynx and skull-base

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

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

Guangzhou, Guangdong, China, 510000

Actively Recruiting

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Research Team

X

Xiang-Wei Kong, Ph.D.

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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Deep Learning-based sbORN Diagnostic Model | DecenTrialz