Health Condition 1: C148- Malignant neoplasm of overlappingsites of lip, oral cavity and pharynx
Conditions
Interventions
Intervention1: Nil: Nil
Sponsors
Dr Rajnish Pathania DeanPrincipal Rohilkhand Medical College Hospital
Dr Madhusudan Astekar
Dr Roopa S Rao
Eligibility
Inclusion criteria
Inclusion criteria: All histopathologically diagnosed cases of oral squamous cell carcinoma will be included in the study, patients giving consent informed consent are willing to take part in the study
Exclusion criteria
Exclusion criteria: Patients who have received treatment (such as surgery, chemotherapy, radiation) for the Oral lesions before participating in the study, cases which are non-diagnostic or unsatisfactory for evaluation on Touch Imprint Cytology, inadequate biopsies will be excluded
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Histopathology slides and Touch Imprint Cytology Smears will be reviewed at 2 weeks. Slide Digital Images will be reviewed at 4 weeks. Deep Learning Model will be trained and assessed at 16 weeks. Trained Deep Learning Model assessment at 20 weeks. Final Deep Learning Model assessment and Approval at 28 weeks. Timepoint: Histopathology slides and Touch Imprint Cytology Smears will be reviewed at 2 weeks. Slide Digital Images will be reviewed at 4 weeks. Deep Learning Model will be trained and assessed at 16 weeks. Trained Deep Learning Model assessment at 20 weeks. Final Deep Learning Model assessment and Approval at 28 weeks. | — |
Secondary
| Measure | Time frame |
|---|---|
| To assess the feasibility of developing deep learning model for cytology & histopathology image analysis & evaluate its diagnostic concordanceTimepoint: Deep Learning Model validity & feasibility testing & its approval at 30 weeks | — |
Countries
India
Contacts
Public ContactDr Nitesh Mohan
Institute of Dental Sciences
Outcome results
None listed