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

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

Status

Completed

Phases

Unknown

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT04490343

Acronym

URO DLIR

Enrollment

Registered

2020-07-29

Start date

2020-06-15

Completion date

2022-03-04

Last updated

2026-06-15

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

Conditions

Deep Learning Reconstruction, Renal Colic, Urinary Tract Stones, Urolithiasis

Keywords

Urolithiasis, Urinary Tract Stones, Renal Colic, deep learning reconstruction, radiation dose, dose reduction, low dose CT

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.

Interventions

DIAGNOSTIC_TESTAbdominopelvic low dose CT

Patients with urinary stones will undergo multiple computed tomography (CT) examinations

Study design

Allocation

Intervention model

SINGLE_GROUP

Primary purpose

DIAGNOSTIC

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Age ≥ 18 years old, * Patient referred for abdominopelvic CT to confirm urolithiasis or for follow-up, * Affiliation to a social security program, * Ability of the subject to understand and express opposition

Exclusion criteria

* Age \<18 years old, * Person under guardianship or curators, * Pregnant woman, * Any contraindications to CT

Design outcomes

Primary

Measure	Time frame	Description
Accuracy between low dose CT using DLIR reconstruction and low dose CT without DLIR reconstruction for the detection of urinary tract stones	day 1	Accuracy between low dose CT using DLIR reconstruction and low dose CT without DLIR reconstruction for the detection of urinary tract stones. Patients who were referred to the department for abdominopelvic CT exam for urolithiasis diagnostic or follow-up, and had consented to participate in the study, will undergo an additional ultra-low dose acquisition (ULD, \<1 mSv) with deep learning-based reconstruction (DLIR).

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 16, 2026