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

Study Overview
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Brief Summary
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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
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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

Official Title
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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

Conditions
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Model-based Iterative Reconstruction (MB-IR VEOTM)

Intervention / Treatment
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* Device: Model-based iterative reconstruction (MB-IR VEOTM) on CT Discovery 750HD (GE Healthcare, Milwaukee, WI)


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Informed and a written consent Acute flank pain needed abdominal CT exploration. Exclusion Criteria: Juvenile patients Pregnant women

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 90 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: VEO<br> | Device: Model-based iterative reconstruction (MB-IR VEOTM) on CT Discovery 750HD (GE Healthcare, Milwaukee, WI)<br> <br> |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| acute renal colic |  | at day 1 | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Measure of dose-length product |  | at day 1 | 
| Measurements of subjective image quality |  | at day 1 | 
| Evaluation of visceral fat |  | at ady 1 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Model-based iterative reconstruction MB-IR, VEOTM, Ultra low-dose, Abdominal CT, Dose reduction, Adaptative statistical iterative reconstruction ASIR, Acute renal colic