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Role Of Multi-detector Computed Tomography In Differentiation Between Different Types Of Ascites

Role Of Multi-detector Computed Tomography In Differentiation Between Different Types Of Ascites

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04550091
Enrollment
88
Registered
2020-09-16
Start date
2020-10-19
Completion date
2022-10-31
Last updated
2020-09-16

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

Conditions

Ascites

Brief summary

Role Of Multi-detector Computed Tomography In Differentiation Between Different Types Of Ascites

Detailed description

1. To detect accuracy of MDCT in differentiation between different types of ascites and its underlying cause . 2. To evaluate the diagnostic accuracy of measuring the CT density of the ascitic fluid (in Housefield units) to differentiate between different types of ascites in comparison to aspiration cytology results.

Interventions

DEVICEDetection of ascites using CT

Role Of Multi-detector Computed Tomography In Differentiation Between Different Types Of Ascites

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL

Inclusion criteria

* All patients who are diagnosed with ascites by clinical examination or by any other investigations such as ultrasound.

Exclusion criteria

* Patient with bleeding tendancy and on anticoagulant drugs.- * Patients who are pregnant .

Design outcomes

Primary

MeasureTime frameDescription
differentiate between different types of ascites and its underlying cause2022differentiate between different types of ascites and its underlying causes by measuring the CT density of the ascitic fluid (in Hounsfield units)

Contacts

Primary Contactmerna yousef, resident
Monna.merna13@gmail.com01020731292
Backup ContactMostafa Hashem, professor
hashemradiol@yahoo.com01000684012

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026