A study to use Artificial Intelligence to predict the outcomes of advanced stage Hodgkin Lymphoma
Not Applicable
- Conditions
- Health Condition 1: C819- Hodgkin lymphoma, unspecified
- Registration Number
- CTRI/2024/02/062294
- Lead Sponsor
- KOITA CENTRE FOR DIGITAL HEALTH(KCDH)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1. Patients diagnosed with advanced stage Hodgkins Lymphoma.
2. Patients whose baseline PET-CT reports are available.
3. Patients whose baseline paraffin block is available at TMH.
4. Age should be more than equal to 15 years.
Exclusion Criteria
None
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Baseline FDG PET-CT results will be used to measure the standardized uptake value of the tumour sites to assess the staging and severity of the disease. At the end of the first stage (Retrospective part), the AI system will learn about the tumour <br/ ><br>and will provide a score in a standardized form such as Deauville PET Criteria for its corresponding PET-CT scan #2. The predicted score and actual score from the retrospective study will be correlated.Timepoint: Retrospective Data analysis of PET CT done at the time of diagnosis.
- Secondary Outcome Measures
Name Time Method 1. correlation of the prognostic model with respect to 2-year Event Free Survival and overall survival. <br/ ><br>2. comparing prognostic value of AI models against available gold standard IPS scores. <br/ ><br> <br/ ><br>Timepoint: 2years