NCT05231616

Brief Summary

The diagnosis of cervical lymph node in nasopharyngeal carcinoma is difficult. Magnetic resonance imaging based deep learning model may be a noninvasive and rapid diagnostic method for cervical lymph node. Thus, the investigators aimed to develop and externally validate a deep learning model to assist in the diagnosis and localization of metastatic lymph nodes in nasopharyngeal carcinoma.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
5,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 5, 2021

Completed
1.1 years until next milestone

First Submitted

Initial submission to the registry

February 8, 2022

Completed
1 day until next milestone

First Posted

Study publicly available on registry

February 9, 2022

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

February 28, 2022

Status Verified

February 1, 2022

Enrollment Period

2 years

First QC Date

February 8, 2022

Last Update Submit

February 25, 2022

Conditions

Deep Learning Model

Outcome Measures

Primary Outcomes (1)

  • Sensitivity and specificity

    2022-12-31

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Nasopharyngeal carcinoma

You may qualify if:

  • Pathological diagnosis of nasopharyngeal carcinoma; Cervival lymph nodes confirmed by pathology

You may not qualify if:

  • a history of cancer

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Sun Yat-sen University Cancer Center

Guangzhou, Guangdong, 510060, China

RECRUITING

Central Study Contacts

Fang-Yun Xie, Professor

CONTACT

+86-20-87342618xiefy@sysucc.org.cn

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

February 8, 2022

First Posted

February 9, 2022

Study Start

January 5, 2021

Primary Completion

December 31, 2022

Study Completion

December 31, 2022

Last Updated

February 28, 2022

Record last verified: 2022-02

Locations

CN(1)