Radiological Evaluation and Stratification of Childhood Lymphoma by Use of Expert AI

Radiological Evaluation and Stratification of Childhood Lymphoma by Use of Expert AI - RACOON-RESCUE

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00031437

Enrollment

1200

Registered

2025-02-13

Start date

2024-10-01

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

Pediatric non-Hodgkin's lymphoma C83 C84 C85 C86 C82

Interventions

Group 1: Retrospective study of children and adolescents treated with a diagnosis of non-Hodgkin's lymphoma at a participating university hospital between 2013-2022

Eligibility

Sex/Gender

All

Age

No minimum to 18 Years

Inclusion criteria

Inclusion criteria: Inclusion in the NHL-BFM Registry 2012

Exclusion criteria

Exclusion criteria: - no radiological data available

Design outcomes

Primary

Measure	Time frame
Establishment of a platform for the standardised radiological diagnosis of childhood NHL through the use of structured reporting and AI-supported image analysis Development and retrospective validation of new radiological parameters for paediatric NHL for the three entity groups of mature cell B-NHL, LBL and ALCL with regard to stratification, assessment of treatment response and prognosis	—

Secondary

Measure	Time frame
Creation of infrastructural prerequisites in the RACOON network for the radiological diagnosis of further paediatric tumour entities	—

Countries

Germany

Contacts

Public ContactDiane Renz

Medizinische Hochschule Hannover

renz.diane@mh-hannover.de+49 511 532 3256

Outcome results

None listed

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