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Nasopharyngeal CarcinomaNCT06463392

Deep Learning-based sbORN Diagnostic Model

An observational study of Nasopharyngeal Carcinoma and Herpesvirus 4, Human, run by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University at 1 site in China.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial 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. Read more about this study

Who is it for?
Ages 18 years and older
How many people
312 participants
Where
1 siteChina
Study dates
1 Jul 2024to 31 Dec 2030
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: All populations that meet the eligibility criteria.

Who may be able to join

  • Equal to or older than 18 years old.
  • A history of histologically confirmed nonkeratinizing undifferentiated nasopharyngeal carcinoma.
  • A history of radical radiotherapy at nasopharynx.
  • Complete remission six months post radical radiotherapy according to RECIST 1.1.
  • No evidence of distant metastasis upon recruitment.
  • Diagnosis of sbORN given by senior radiologist with 2-4 Likert scores.
Show all 9Show fewer
  • Consent to biopsy awake or under general anesthesia.
  • Consent to perform blood tests, EBV DNA, EBV IgAs, and MRI inspection of nasopharynx and neck.
  • With a written consent.

Who cannot join

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

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Xiang-Wei Kong, Ph.D. contact

0086-020-34071439

kongxw8@mail.sysu.edu.cn

China1 site, 1 recruiting
  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    Guangzhou, Guangdong, 510000

    Xiang-Wei Kong, Ph.D., 0086-020-34071439, kongxw8@mail.sysu.edu.cn

    Recruiting

Other trials in China

About this study

Official title: Development of Deep-Learning-Based Multimodal Post Radiotherapy Skull-Base Osteonecrosis and Recurrence of Nasopharyngeal Carcinoma Differential Diagnostic Model

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.

Being tested
No Intervention: Observational Cohort
Keywords
Nasopharyngeal Carcinoma, Skull-base Osteonecrosis, Radiotherapy, Epstein-Barr Virus
Medical subject headings
Nasopharyngeal Carcinoma, Epstein-Barr Virus Infections

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • No Intervention: Observational CohortOther

    No intervention is scheduled for this observational study.

Study groups in NCT06463392
Study groupRoleWhat they receive
CaseHistologically confirmed sbORN that meets the eligibility criteria.
Receives: Other: No Intervention: Observational Cohort
ControlHistologically confirmed NPC recurrence that meets the eligibility criteria.
Receives: Other: No Intervention: Observational Cohort

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Area under curve of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  2. Area under curve of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

Secondary outcomes (12)
  1. Sensitivity of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  2. Specificity of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  3. F1 score of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  4. Positive predictive value of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  5. Negative predictive value of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model.

    Measured: Baseline

  6. Sensitivity of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

  7. Specificity of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

  8. F1 score of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

  9. Positive predictive value of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

  10. Negative predictive value of the differential diagnosis of sbORN and NPC recurrence delivered by the radiologists.

    Measured: Baseline

  11. Dice similarity coefficient of the MRI contouring between the deep-learning-based multimodal model and the radiologists.

    Measured: Baseline

  12. Average surface distance of the MRI contouring between the deep-learning-based multimodal model and the radiologists.

    Measured: Baseline

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted17 Jun 2024
  2. Study start1 Jul 2024
  3. Primary completion31 Dec 2029 (estimated)
  4. Study completion31 Dec 2030 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case-control
Time perspective
Cross-sectional
Enrolment
312 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06463392
Sponsor's protocol ID
SYSKY-2024-395-03
Status last verified
Sep 2024
First submitted
22 May 2024
Last updated
1 Oct 2024
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

An observational study of Nasopharyngeal Carcinoma and Herpesvirus 4, Human, run by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 9 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 1 Oct 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Xiang-Wei Kong, Ph.D. (0086-020-34071439, kongxw8@mail.sysu.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Area under curve of the differential diagnosis of sbORN and NPC recurrence delivered by the deep-learning-based multimodal model. (time frame: Baseline). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Oct 2024.

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