Assessment of Mediastinal Masses With Diffusion Weighted MR Imaging
NCT ID: NCT03214341
Last Updated: 2017-07-11
Study Results
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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UNKNOWN
24 participants
OBSERVATIONAL
2017-12-01
2019-12-30
Brief Summary
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Detailed Description
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MRI presents valuable diagnostic information in assessing the mediastinum. In addition, special applications have been developed over recent years diffusion-weighted magnetic resonance imaging is one such technique The advent of echo-planar imaging technique has rendered diffusion weighted imaging of the abdomen and thoracic cavity possible .
Quantitative assessment of the mediastinal mass is possible by calculation of apparent diffusion co-efficient value ,which is related to the proportion of extracellular and intracellular component.
The apparent diffusion co-efficient is inversely correlated with tissue cellularity. It is lower in viable tumor tissue with densely packed diffusion-hindering obstacles than in tissue with less densely packed obstacles such as tumor necrosis and benign tissue .
Conditions
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Study Design
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CASE_CROSSOVER
CROSS_SECTIONAL
Interventions
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MRI diffusion
using MRI diffusion to differentiate between benign and malignant mediastinal masses
Eligibility Criteria
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Inclusion Criteria
* diagnosis of mediastinal mass (by Multislice Computed Tomography).
Exclusion Criteria
* thoracic surgery.
* cystic mass .
* mass with large amount of necrosis or calcification.
* contraindication of MRI (e.g. pacemakers , claustrophobia).
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Gehad Mohammed Safwat Ali
Principal Investigator
Principal Investigators
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Mostafa Thabet Hussein, professor
Role: PRINCIPAL_INVESTIGATOR
Assiut University
Locations
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Assiut university
Asyut, , Egypt
Countries
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Central Contacts
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Related Links
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the investigator had gained some information from this site
Other Identifiers
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MRIML
Identifier Type: -
Identifier Source: org_study_id
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