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CompletedNCT04490343URO DLIRUpdated Jun 15, 2026

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

An interventional study of Abdominopelvic low dose CT in Urolithiasis, Urinary Tract Stones and Renal Colic, sponsored by Centre Hospitalier Universitaire, Amiens. Completed at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-15.

Sponsored by Centre Hospitalier Universitaire, Amiens · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
62
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study 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.

02

Conditions studied

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

Keywords

  • Urolithiasis
  • Urinary Tract Stones
  • Renal Colic
  • deep learning reconstruction
  • radiation dose
  • dose reduction
  • low dose CT
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

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

Exclusion Criteria:

  • Age \<18 years old,
  • Person under guardianship or curators,
  • Pregnant woman,
  • Any contraindications to CT
04

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
62 participants (actual)

Interventions

  • Diagnostic testAbdominopelvic low dose CT

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

05

What researchers measure

Primary outcomes

  1. Accuracy between low dose CT using DLIR reconstruction and low dose CT without DLIR reconstruction for the detection of urinary tract stones

    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).

    Time frame: day 1

06

Study locations

1 site
  • CHU Amiens
    Amiens, 80480, France
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

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Registry details

Key details

Study ID
NCT04490343
Lead sponsor
Centre Hospitalier Universitaire, Amiens
Responsible party
Sponsor
First posted
Jul 29, 2020
Start date
Jun 15, 2020
Primary completion
Mar 4, 2022
Completion
Mar 4, 2022
Last update
Jun 15, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.

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