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Improving histological diagnosis of oral cancer by assessment of lymph node involvement through AI based algorithm using biomarker expression

Improving histopathological evaluation of Oral Squamous Cell Carcinoma with and without lymph node metastasis through AI driven algorithm using Foxp3 and CD43 expression - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/01/100209
Enrollment
110
Registered
2026-01-02
Start date
Unknown
Completion date
Unknown
Last updated
2026-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: C069- Malignant neoplasm of mouth, unspecified

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil

Sponsors

NIL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Diagnosed with Oral Squamous Cell Carcinoma

Exclusion criteria

Exclusion criteria: all patients with any other diagnosed pathologies than oral squamous cell carcinoma, Patients diagnosed with oral squamous cell carcinoma with no status of lymph node metastasis

Design outcomes

Primary

MeasureTime frame
Biomarker expression in OSCC tissues with metastatic lymph nodes present/absent (comparison of primary tissue expression in two groups as well as primary tissues with that of nodes)Timepoint: 4 weeks—

Secondary

MeasureTime frame
AI-based prediction of biomarker expression for cases without lymph node metastasis that with those that show metastasis in lymph nodesTimepoint: 8 weeks—

Countries

India

Contacts

Public ContactSakshi Janbade

Dr Harvansh Singh Judge Institute of Dental Sciences and Hospital

shallygupta@yahoo.in9914016745

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026