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العنوان
Can diffusion tensor image add value to dynamic contrast enhanced MRI in differentiating recurrent breast cancer from postoperative changes in patients previously underwent breast surgery /
المؤلف
Mohammed, Rasha Karam Mahmoud.
هيئة الاعداد
باحث / رشا كرم محمود محمد
مشرف / محمد مجدى محمد الرخاوى
مشرف / نرمين يحيى سليمان
مشرف / وليد النحاس رشاد
مشرف / أحمد محمد عبدالخالق أحمد
الموضوع
Confidence interval. Breast - Cancer.
تاريخ النشر
2022.
عدد الصفحات
online resource (137 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 159

from 159

Abstract

Imaging of patients with palpable masses after breast surgery is challenging as morphological criteria of post-operative changes may overlap with those of recurrent breast cancer. Dynamic contrast enhanced MRI represent the most sensitive imaging technique in evaluation of post-operative breast however, it lacks such high specificity. DTI represent a modified diffusion technique that is considered a promising tool in characterization of breast lesions. DTI parameters can be used as a complementary tool to dynamic contrast enhanced MRI to increase its specificity especially in challenging cases such as cases who underwent previous breast surgery. The main finding of this study is that DTI parameters can increase sensitivity, specificity and accuracy of dynamic contrast enhanced MRI in predicting recurrent breast cancer. Overall, malignancies exhibited lower MD, AD, and RD, and higher FA and RA values when compared to their values in benign lesions. Among the DTI parameters, MD contributed most significantly to the overall diagnostic performance. Regarding accuracy, our study revealed that MD showed the highest accuracy (92.2%) in discriminating recurrent breast cancer from post-operative changes compared with other DTI parameters (80.5% for FA, 84.4% for AD, 80.5% for RD, and 59.7% for RA).