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Assessment of Mediastinal Masses With Diffusion Weighted MR Imaging

Conditions
Mediastinal Tumor
Registration Number
NCT03214341
Lead Sponsor
Assiut University
Brief Summary

Differentiation between benign and malignant mediastinal tumors as well as characterization and grading of malignancy which is essential for treatment planning as well as for prognosis

Detailed Description

Differentiation between benign and malignant mediastinal tumors as well as characterization and grading of malignancy is essential for treatment planning as well as for prognosis .

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 .

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
24
Inclusion Criteria
  • Any age groups
  • diagnosis of mediastinal mass (by Multislice Computed Tomography).
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Exclusion Criteria
  • chemotherapy radiotherapy.
  • thoracic surgery.
  • cystic mass .
  • mass with large amount of necrosis or calcification.
  • contraindication of MRI (e.g. pacemakers , claustrophobia).
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
sensitivity and specificity of magnetic resonance imaging diffusion in mediastinal massesup to one month
Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Assiut university

🇪🇬

Assiut, Egypt

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