An observational study in Oral Cancer, Oral Lichen Planus and Fordyce Granule, sponsored by Cairo University. Completed at 1 site in Egypt. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-06-04.
Sponsored by Cairo University · Observational
This study aims to develop an AI program that can classify oral findings into Normal/variation of normal or an oral disease by clinical photos analysis, aiding in lowering the percentages of false positive and false negative diagnosis of oral diseases.
Early diagnosis of oral lesions, particularly oral cancer, is crucial for enhancing prognosis, facilitating early intervention and care with the intention of lowering disease-related mortality.
Since conventional oral examination (COE) is the most used method in identifying oral lesions, the average dental practitioner's experience is a decisive factor in early diagnosis.
Visual examination lacks specificity and sensitivity since its highly subjective. Unfortunately, Studies show that the majority of dentists lack expertise in early detection of the disease, resulting in false negative diagnosis of oral lesions.
General practitioners are found to either delay the referral of a suspected oral lesion to an Oral Medicine specialist, or referring numerous false positive cases, unnecessarily pushing the patients into a state of anxiousness and cancer phobia. False positive referrals overburden the specialists, which will eventually cause delayed diagnosis of true positive cases due to the oversaturation with false positive ones.
diagnostic research scope shifts towards noninvasive, easy chair side methods with higher accuracy for early detection of oral lesions. Recent approaches towards using machine based programs indicate that this machine-learning method may be useful in the detection and diagnosis of oral cancer.
446 studies on the registry are indexed under Mouth Neoplasms; 130 are open to participants now.
This study's enrollment of 241 is above the median of 100 across 113 observational studies indexed under Mouth Neoplasms.
Browse Mouth Neoplasms studies →Cairo University is the lead sponsor of 4,941 studies on the registry; 1,458 are open to participants now.
Of its 37 completed or terminated interventional studies of FDA-regulated products, 5 (14%) have results posted.
Counted across the registry records on this site, refreshed daily.
patients should be above 18 years old, with no maximum age limit. Normal oral cavity findings, variations of oral anatomical landmarks, patients with oral lesions are all included in the study.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
patients that have normal oral findings or variations of normal anatomical landmarks such as: leukoedema, fordyce granules, linea alba, physiological pigmentations, torus palatinus, torus mandibularis, geographic tongue, fissured tongue
Diagnostic Test: Artificial intelligence based program
patients that needs referral for a low risk of malignant transformation disease, such as: hemangiomas, fibromas, oral apthous ulcers, candidal infections, pemphigus valgaris, petechiae, frictional keratosis, smokers' melanosis.
Diagnostic Test: Artificial intelligence based program
patients that needs referral for a high risk of malignancy or a premalignant disease, such as: oral lichen planus, leukoplakia, erythroplakia, squamous cell carcinoma.
Diagnostic Test: Artificial intelligence based program
the AI based program is based on image analysis
risk stratification
patient is either normal with no risk or need for referral, low risk of malignant transformation disease, high risk of malignant transformation disease.
Time frame: 3 months to develop the program
Plan to share: Undecided
Ran from Apr 2024 to primary completion in Oct 2024, 6 months.
How these figures are worked out, and which studies are left out of them.
This study is completed, as verified in Jun 2025. 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.