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
- Any age groups
- diagnosis of mediastinal mass (by Multislice Computed Tomography).
- chemotherapy radiotherapy.
- thoracic surgery.
- cystic mass .
- mass with large amount of necrosis or calcification.
- contraindication of MRI (e.g. pacemakers , claustrophobia).
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method sensitivity and specificity of magnetic resonance imaging diffusion in mediastinal masses up to one month
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Assiut university
🇪🇬Assiut, Egypt