Intraepithelial neoplasia
MONDO:0024474A precancerous neoplastic process that affects the squamous, glandular, or transitional cell epithelium without evidence of invasion. According to the degree of nuclear atypia, number of mitotic figures, and presence of architectural distortion, it is classified as low grade (mild dysplasia) or high grade (moderate or severe dysplasia).
Also known as: epithelial dysplasia, intraepithelial neoplasia, intraepithelial neoplasm
1509 clinical trials for this condition and its sub-types, 25 tagged with Intraepithelial neoplasia itself.
Follow this condition to get notified about new trialsWhere it sits in the disease tree
Browse by category →Sub-types of Intraepithelial neoplasia
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Squamous cell intraepithelial neoplasia 26 trials · 43 incl. sub-types
3 sub-types
- Cervical squamous intraepithelial neoplasia 28 trials
- Conjunctival intraepithelial neoplasm 0 trials
- Corneal intraepithelial neoplasm 0 trials
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Prostate intraepithelial neoplasia 2 trials
1 sub-type
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Can an AI eye guide surgeons to safer, faster cancer removal?
Disease control OngoingThis trial tests an artificial intelligence system called ADTPS that helps doctors remove early-stage esophageal cancer or precancerous lesions using a scope. The AI analyzes live images during the procedure and overlays a suggested cutting path on the screen. Half of the partici…
Sponsor: Qilu Hospital of Shandong University • Aim: Disease control
Last updated Sep 20, 2026 00:00 UTC
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Vitamin a derivative patch could reverse oral precancer
Disease control OngoingThis trial tests a sticky patch that releases fenretinide, a vitamin A derivative, directly onto precancerous spots inside the mouth. The goal is to see if the patch can shrink these lesions, reduce their severity under the microscope, and lower genetic changes linked to oral can…
Phase 1 • Sponsor: Ohio State University Comprehensive Cancer Center • Aim: Disease control
Last updated Jun 27, 2026 14:02 UTC
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AI reads endoscopy images to spot dangerous esophageal tumors
Diagnosis OngoingThis study looks at whether artificial intelligence can accurately determine the depth of early esophageal cancer from endoscopic images. Researchers will review past records and images from 890 patients who had their tumors removed. The goal is to see if AI can help doctors deci…
Sponsor: Fudan University • Aim: Diagnosis
Last updated Jun 27, 2026 12:37 UTC