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العنوان
The role of diffusion tensor imaging (DTI) in differentiation between benign and malignant breast masses /
المؤلف
Al-Emam, Fatma Al-Zhraa Abd Al-Monem Atiya.
هيئة الاعداد
باحث / فاطمة الزھراء عبدالمنعم عطية الامام
مشرف / ماجدة محمد شوقي شادي
مشرف / شريف عبدالفتاح مصطفى
مناقش / أحمد فكري الديك
مناقش / محمود عبداللطيف محمد
الموضوع
Breast - Cancer. Breast - Imaging.
تاريخ النشر
2020.
عدد الصفحات
178 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2020
مكان الإجازة
جامعة المنصورة - كلية الطب - الاشعة التشخيصية
الفهرس
Only 14 pages are availabe for public view

from 178

from 178

Abstract

Breast dynamic MRI is a highly sensitive imaging tool for breast cancer detection. DW imaging is noninvasive MRI and provides functional information about the microenvironment of water in tissues by measurement of diffusion rate. DTI is derived from DWI and can measure the diffusion direction as well as diffusion rate, hence provides more functional information about tissue microstructure.This study aimed at assessment of the role of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) measured from DTI in differentiation between benign and malignant breast masses. The study included 42 female patients (Nine patients were referred from the oncology center of Mansoura university hospitals and thirty-three patients were referred from private clinics) with suspicious breast masses at sono mammography or with suspicious clinical findings. Their ages ranged from 25 years to 65 years with mean age of 42.6 years. All patients were examined with sonography and MRI. Mammography was done for nine cases only. MRI was done using 1.5 T system (Philips Ingenia, Best, Netherland) using T1, STIR, T2 Weighted Imaging, DWI, DTI (acquired in the axial plane at b values 0 and 1000 s/mm2). followed by post contrast dynamic MRI examination. Then ADC and FA values were automatically calculated by the workstation by placing multiple ROIs within the mass, avoiding apparent necrotic or cystic components by referring to conventional MR images. Data were then tabulated and statistically analyzed.