Computed Tomography Evaluation of Urinary Stones Densities Compared to in Vitro Analysis of Its Chemical Composition

NCT ID: NCT04110574

Last Updated: 2020-02-05

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

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Recruitment Status

UNKNOWN

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-30

Study Completion Date

2022-10-30

Brief Summary

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The ability to predict stone composition, which influences patient treatment, depends on the accurate measurement of CT attenuation of stones. We will study the effects of stone composition, stone size, and scan collimation width on the measurement of attenuation in vitro.

Detailed Description

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Recently, the use of noncontrast spiral computerized tomography (NCCT) has gained widespread acceptance in the evaluation of urinary stone patients. It has long been used clinically to evaluate the causes of radiolucent filling defects using Hounsfield units (HU) to distinguish calculi from tumor or blood clots, and to identify nonurologic causes of flank pain (Smith R etal ). Urinary stones have a significantly higher CT attenuation than the surrounding soft tissues and are virtually always visible on NCCT. Knowing the composition of a urinary calculus is frequently a key factor in determining its most appropriate management. Should the urine be alkalinized? Will the stone be amenable to extracorporeal shock wave lithotripsy (ESWL), or should ureteroscopy or percutaneous lithotripsy be attempted? Different techniques have been used to assist in determining the correct chemical composition of calculi. Urine pH, urinary crystals, prior stone history and the presence of urea-splitting organisms (Ramakumar S,etal). Several in vitro studies have suggested that NCCT can demonstrate measured differences in radiodensity among different urinary stones (Mitchenson HD etal,).With these clinical problems in mind, we sought to determine whether the composition of urinary calculi could be predicted by their CT characteristics in an attempt to find out the best technique for distinguishing the various stones compositions, provided that it is clinically practical and would not require repeated imaging of the patients.

Conditions

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Urinary Calculi

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Any Age will be included .
* Patient with suspected or known urinary stone disease.
* Eligible for doing NCCT.
* Giving written consent to participate

Exclusion Criteria

* Patient with classical NCCT contraindication like morbid obesity and pregnancy .
* Patients with urinary stones will be treated by ESWL
* Refusal participation .
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Somia Usama Mohamed Rabea

Resident doctor

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Somia Usama, Master

Role: CONTACT

01060101215

Related Links

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https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1007%2Fs00240-004-0454-2

Determination of the chemical composition of urinary calculi by non contrast spiral computerized tomography.

Other Identifiers

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CT of urinary stones densities

Identifier Type: -

Identifier Source: org_study_id

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