Health Condition 1: C00-D49- Neoplasms
Conditions
Interventions
Control Intervention1: Nil: Nil
Sponsors
AIRONC Healthcare Private Technologies Ltd
Eligibility
Inclusion criteria
Inclusion criteria: 1) Patient anonymized radiotherapy datasets of cervical cancer cases 2) Initial radiotherapy planning CT for radiotherapy contouring (both registered and non- registered datasets) 5) Radiotherapy related data for all patients -- curative.
Exclusion criteria
Exclusion criteria: 1) Diagnostic scans of patients who have underwent surgery 2)CT scans with non- standard spacing.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Trained ML model with high accuracy scores (over 85%) on internal validation dataset with Dice similarity coefficient.Timepoint: Training at 4-10 months Internal validation at 6-18 months Test at 18-24 months | — |
Secondary
| Measure | Time frame |
|---|---|
| Accuracy of software by quantitative methods on test datasets: Dice similarity coefficient, Hausdorff distance, volume overlap error, relative volume difference & Jaccard Index.Timepoint: 3 years;Subjective score by oncologists: Seasoned radiation oncologists will rate the auto-contours on a scale from 1-4 adopted from Lustberg et al & Liu et al. Timepoint: After internal validation & testing;Time for generating contours for each organ in every disease site for manual & auto in test datasets will be recorded in minutes.Timepoint: 3 years | — |
Countries
India
Contacts
Public ContactShirley Lewis
Kasturba Medical College Manipal
Outcome results
None listed