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Detection of Urinary Stones on ULDCT With Deep-learning Image Reconstruction Algorithm — URO DLIR  

Urolithiasis Clinical Trial

Official title:
Detection of Urinary Tract Stones on Ultra-low Dose Abdominopelvic CT Imaging With Deep-learning Image Reconstruction Algorithm

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04490343
Study type Interventional
Source Centre Hospitalier Universitaire, Amiens
Contact
Status Active, not recruiting
Phase N/A
Start date July 21, 2020
Completion date July 1, 2023
View Details
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