Radiology

Permanent URI for this collection

http://etd.aau.edu.et/handle/123456789/64

Browse

Browsing Radiology by Author "Admassie, Daniel (MD, professor of Radiology)"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Prospective Cross sectional study of Radio-Pathologic correlation of soft tissue tumors in patients evaluated at Tikur Anbessa specialized hospital and St Paul millennium medical college, Addis Ababa University, Addis Ababa, Ethiopia, 2019
    (Addis Abeba University, 2019-08) Tadesse, Samuel; Admassie, Daniel (MD, professor of Radiology); Zenebe, Moges(MD, Assistant professor of Radiology); Gezahegn, Hiwot (MD, Assistant professor of Radiology)
    Introduction: Soft tissue is the supportive tissue of various organs and the non-epithelial, extra skeletal structures exclusive of lympho-hematopoietic tissues. It includes fibrous connective tissue, adipose tissue, skeletal muscle, blood/lymph vessels, and the peripheral nervous system. Most soft tissue tumors are classified as ether benign and malignant there are also intermediate groups implying aggressive local behavior with low to moderate probability for metastasis. Soft tissue tumors are classified histologically on the basis of the adult tissue they resemble. Objective: Assessment of radio-pathologic correlation of soft tissue tumors in patients evaluated at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia 2019. Method: The study was conducted at TASH from May 2018-January 2019. Hospital based prospective cross sectional study was conducted at TASH to address the specific objective during study period. The Study was conducted among patients being evaluated at Tikur Anbessa Specialized Hospital oncology department who have both MRI and pathology result during study period. Data was collected by evaluating the MRI report and biopsy result from oncology department and also using structured questionnaires. The data was checked for clarity and completeness. Computerized data analysis was conducted by using SPSS version 25 software. Result: Total of 73 cases evaluated with 60% malignant. The sensitive MRI parameters for malignancy are size >5cm (91%), necrosis (82%), bone involvement (80%). The specific MRI parameters include age>25yr (86%), necrosis (78%), heterogeneous enhancement (75%). From all the MRI parameters only necrosis had significant correlation with malignancy on imaging in our study. Conclusion: The most sensitive and specific MRI parameter to predict malignancy in our study are size > 5cm, necrosis, heterogeneous enhancement. Necrosis had significant correlation for malignancy.