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العنوان
Characterization of adrenal lesions with multiparametric MRI /
المؤلف
Farag-Alla, Mohammed Saad Abd El-Hamid.
هيئة الاعداد
باحث / محمد سعد عبدالحميد فرج الله
مشرف / ماجده علي ھاني البكري
مشرف / طارق عبدالمنعم الدياسطي
مشرف / ساميه منير زكي
مشرف / نھال ثروت محمد السيد
الموضوع
Medicine. Diagnostic radiology. Adrenal lesions.
تاريخ النشر
2022.
عدد الصفحات
online resource (147 pages) :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2022
مكان الإجازة
جامعة المنصورة - كلية الطب - الاشعة التشخيصية
الفهرس
Only 14 pages are availabe for public view

from 147

from 147

Abstract

Incidental adrenal lesions detected on cross sectional imaging are a common clinical scenario, seen approximately 5% of all abdominal examinations. Differentiation between adenomatous and non-adenomatous lesions, particularly the malignant lesions, is important to predict prognosis of the primary disease, to assess staging and direct therapy, and to preclude the need for both percutaneous biopsy and follow-up imaging in these patients. The purpose of this study was to evaluate value of the multiparametric MRI including Chemical shift imaging, diffusion weighted and dynamic contrast MR imaging for the differentiation of adrenal adenomas from malignant adrenal tumors. Between April 2018 to July 2022, 40 patients with 42 adrenal lesions (14 adenomas, 8 metastases, 8 adrenal cortical carcinomas 5 pheochromocytoma) underwent multiparametric MRI including Chemical shift imaging, diffusion weighted and dynamic contrast MR imaging. CSI was assessed qualitatively and by calculating the adrenal signal intensity index, and enhancement patterns were evaluated qualitatively and quantitatively. Statistical analyses were performed. Most of adenomas revealed iso to low signal intensity on T2 images, while non adenomas exhibited heterogeneous high T2 signal intensity because underlying hemorrhage and degeneration. A significant signal DROP on CSI was seen in most of adenomas. Adrenal signal intensity index was calculated with a cut off value of 23%, Area under the curve was 0.954 (P=0.001, the sensitivity was 92% and specificity was 78 %. Diffusion weighted images and Apparent Diffusion Coefficient could not show significant statistical difference between both groups. Diffusion tensor imaging and FA could differentiated between both groups with a cut off value of 0.34.