Ignite Creation Date:
2024-05-06 @ 3:01 PM
Last Modification Date:
2024-10-26 @ 1:41 PM
Study NCT ID:
NCT04490343
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2023-03-08
First Post:
2020-07-24
Brief Title:
Detection of Urinary Stones on ULDCT With Deep-learning Image Reconstruction Algorithm
Sponsor:
Centre Hospitalier Universitaire Amiens
Organization:
Centre Hospitalier Universitaire Amiens
Study Overview
Official Title:
Detection of Urinary Tract Stones on Ultra-low Dose Abdominopelvic CT Imaging With Deep-learning Image Reconstruction Algorithm
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-03
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:
URO DLIR
Brief Summary:
Urolithiasis has an increasing incidence and prevalence worldwide and some patients may have multiple recurrences Because these stone-related episodes may lead to multiple diagnostic examinations requiring ionizing radiation urolithiasis is a natural target for dose reduction efforts Abdominopelvic low dose CT which has the highest sensitivity and specificity among available imaging modalities is the most appropriate diagnostic exam for this pathology The main objective of this study is to evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in urolithiasis patients
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None