Ignite Creation Date:
2025-12-18 @ 8:21 AM
Ignite Modification Date:
2025-12-23 @ 9:57 PM
Study NCT ID:
NCT06741423
Status:
None
Last Update Posted:
2024-12-19 00:00:00
First Post:
2024-06-24 00:00:00
Is Possible Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases Via Radiomics
Sponsor:
None
Organization:
Study Overview
Official Title:
Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases on CT Scans Via an Extended-Radiomics Approach: a Multi-Centric, International Retrospective Analysis.
Status:
None
Status Verified Date:
2024-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: