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A study to use Artificial Intelligence to predict the outcomes of advanced stage Hodgkin Lymphoma

A novel Artificial Intelligence based prognostic approach using PET-CT images and pathology images, for advanced stage Hodgkin Lymphoma. - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/02/062294
Enrollment
200
Registered
2024-02-05
Start date
Unknown
Completion date
Unknown
Last updated
2024-03-04

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

Conditions

Health Condition 1: C819- Hodgkin lymphoma, unspecified

Interventions

Intervention1: Nil: Nil

Sponsors

KOITA CENTRE FOR DIGITAL HEALTH(KCDH)
Lead Sponsor

Eligibility

Inclusion criteria

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

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
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 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

MeasureTime frame
1. correlation of the prognostic model with respect to 2-year Event Free Survival and overall survival. 2. comparing prognostic value of AI models against available gold standard IPS scores. Timepoint: 2years

Countries

India

Contacts

Public ContactDR HASMUKH JAIN

Tata Memorial Hospital

dr.hkjain@gmail.com02224177018

Outcome results

None listed

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