NCT06741423

Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases Via Radiomics

Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases on CT Scans Via an Extended-Radiomics Approach: a Multi-Centric, International Retrospective Analysis.

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 600 (estimated)
• Sponsor: Heidelberg University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

A retrospective study utilizing archived CT scans of patients diagnosed with retroperitoneal fibrosis, sarcoma or other malignancies (i.e. lymphoma, germ cell tumors, metastasis, infections, ganglioneuromas) in order to implement a radiomics algorithm which is able to differentiate between these malignancies.

Detailed description

The aim of this project is to develop a radiomics algorithm that can reliably identify retroperitoneal fibrosis (Ormond's disease) and retroperitoneal sarcomas, automatically segment them and differentiate them from other retroperitoneal diseases. Radiomics is a technique that uses artificial intelligence to extract characteristics from radiological image data that are not visible to humans and to identify image morphological patterns of diseases. As it is difficult to differentiate between diseases using image data alone, clinical data such as symptoms and laboratory values are to be correlated with the image data and utilized by the algorithm. Among other things, this should increase the sensitivity, accuracy and specificity of image-based diagnostics in order to enable faster, non-invasive diagnosis.

Conditions

• Retroperitoneal Sarcoma
• Retroperitoneal Fibrosis

Interventions

Type	Name	Description
OTHER	Radiomics Algortihm	A radiomics algorithm designed to distinguish retroperitoneal fibrosis from other retroperitoneal tumors and provide recommendations for clinical treatment decisions.

Timeline

• Start date: 2023-11-01
• Primary completion: 2025-05-01
• Completion: 2025-12-01
• First posted: 2024-12-19
• Last updated: 2024-12-19

Locations

2 sites across 2 countries: China, Germany