An observational study in Deep Learning Model, sponsored by Sun Yat-sen University. Status unknown at 1 site in China. Per ClinicalTrials.gov, last updated 2022-02-28.
Sponsored by Sun Yat-sen University · Observational
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.
816 studies on the registry are indexed under Nasopharyngeal Carcinoma; 282 are open to participants now.
This study's planned enrollment of 5,000 is above the median of 300 across 135 observational studies indexed under Nasopharyngeal Carcinoma.
Browse Nasopharyngeal Carcinoma studies →Sun Yat-sen University is the lead sponsor of 1,644 studies on the registry; 602 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Nasopharyngeal carcinoma
Exclusion Criteria:
Sensitivity and specificity
Time frame: 2022-12-31
This study is status unknown, as verified in Feb 2022. You cannot join it, but the record below documents what was studied.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.
Sun Yat-sen University