Model-based Iterative Reconstruction (MB-IR VEOTM) in Ultra Low-dose Abdominal CT Versus Adaptative Statistical Iterative Reconstruction (ASIR): A Prospective Study for Acute Renal Colic

NCT ID: NCT02076737

Last Updated: 2014-03-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

120 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-02-28

Study Completion Date

2014-01-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The purpose of this study is to determine if Model-based iterative reconstruction (MB-IR VEOTM) in ultra low-dose abdominal CT as the same accuracy for the diagnosis of acute renal colic versus standard CT with adaptative statistical iterative reconstruction (ASIR).

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Renal colic is a common recurrent pathology in young patients, multi explored by imaging such as CT and abdominal radiography.

Abdominal MDCT(MultiDetector Computed Tomography) without injection is the gold standard in diagnosis of acute flank pain suspect of renal colic due to high sensitivity (96%) and excellent specificity (100%).

The increased use of medical imaging examinations using ionizing radiation (+57 % between 2002 and 2007) makes it essential to optimize protocols, including CT-scans which represents 10.1 % of procedures and 58 % of the collective effective dose.

Model-based iterative reconstruction (MB-IR VEOTM) (GE Healthcare, Milwaukee, WI) can use a low dose acquisition, reducing the effective dose delivered to the patient almost 80% comparing a standard CT with the last algorithm: adaptative statistical iterative reconstruction (ASIR).

MB-IR VEOTM shows great potential for substantially reducing radiation doses at routine abdominal CT. ASIR is limited in this regard owing to reduced image quality and diagnostic capability. Further investigation is needed to determine the optimal dose level for MBIR(Model Base Iterative Reconstruction) that maintains adequate diagnostic performance. In general, objective and subjective image quality measurements do not necessarily correlate with diagnostic performance at ultralow-dose CT.

Objective:

Prospective clinical study, equivalence between two CT protocols for the diagnosis of acute renal colic.

Show that a low dose acquisition with model based iterative reconstruction (MB-IR VeoTM) is as good as a standard CT with adaptative statistical iterative reconstruction (ASIR) in the diagnosis acute renal colic

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Model-based Iterative Reconstruction (MB-IR VEOTM)

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

VEO

Group Type EXPERIMENTAL

Model-based iterative reconstruction (MB-IR VEOTM) on CT Discovery 750HD (GE Healthcare, Milwaukee, WI)

Intervention Type DEVICE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Model-based iterative reconstruction (MB-IR VEOTM) on CT Discovery 750HD (GE Healthcare, Milwaukee, WI)

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Informed and a written consent
* Acute flank pain needed abdominal CT exploration.

Exclusion Criteria

* Juvenile patients
* Pregnant women
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University Hospital, Clermont-Ferrand

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Louis BOYER

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Clermont-Ferrand

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

CHU de Clermont-Ferrand

Clermont-Ferrand, , France

Site Status

Countries

Review the countries where the study has at least one active or historical site.

France

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2012-A01699-34

Identifier Type: -

Identifier Source: secondary_id

CHU-0183

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Rapid Abdominal Diagnosis With AI & Radiology
NCT07040358 ACTIVE_NOT_RECRUITING
MR Urography vs CT Urography
NCT02606513 COMPLETED NA
IA Model for Acute Appendicitis in CT
NCT06175169 RECRUITING NA