Evaluation of Artificial Intelligence based software for radiotherapy planning
Not Applicable
- Conditions
- Health Condition 1: C00-D49- Neoplasms
- Registration Number
- CTRI/2019/09/021316
- Lead Sponsor
- Kasturba Medical College Manipal
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Planning CT scans, fused images and cone beam CT images that have been used for standard radiotherapy treatment planning using steps such as use of base plate/flat couch and suitable immobilization device, presence of reference marks, etc.
Exclusion Criteria
1) Patients scanned in prone position
2) Palliative treatment plans with 10 fractions or less
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Evaluation of the performance of Limbus as a contouring tool in the clinic with respect to its accuracy (measured by the degree of agreement between the AI generated and physician generated contours, and on subjective opinion on whether the delineation is clinically acceptable by the treating physician.Timepoint: Not applicable (the study duration is two years).
- Secondary Outcome Measures
Name Time Method 1. Speed of execution of contouring(recording of the time taken to delineate the structures by the AI) <br/ ><br>2. Enhancement of the softwares potential clinical application by increasing its ability to identify and delineate additional structures of potential relevance in RT planning.Timepoint: Not applicable (the study duration is two years)