Search In this Thesis
   Search In this Thesis  
العنوان
Breast Cancer Detection Using Automated Breast Ultrasound in Mammographically Dense Breasts/
الناشر
Ain Shams University.
المؤلف
Gad,Latifa Essam Ramzy .
هيئة الاعداد
باحث / لطيفه عصام رمزى جاد
مشرف / شيرين قـدري أمــين
مشرف / محمد جمال الدين عبد المطلب
تاريخ النشر
2020
عدد الصفحات
159.p;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/4/2020
مكان الإجازة
جامعة عين شمس - كلية الطب - Radio diagnosis
الفهرس
Only 14 pages are availabe for public view

from 161

from 161

Abstract

Breast Cancer Detection Using Automated Breast Ultrasound in Mammographically Dense Breasts
Sherine K. Amin M.D, Mohamed G. Abdel Mutaleb M.D, Latifa E. Gad M.Sc
Department of Radiodiagnosis
Faculty of Medicine – Ain Shams University
Abstract
Background: Automated breast ultrasound technology (ABUS) allows the radiologist to interpret ultrasonography images in a separate time after acquisition. Different interpretation times have been reported, ranging from 5 to 10 min, probably according to differences in readers’ experience and complexity of each case.
Aim of the Work: to detect the impact of ABUS technique’s advantages, pearls and pitfalls combining with mammography compared with mammography alone, significantly improved detection of breast cancers in women with dense breast tissue without substantially affecting specificity.
Patients and Methods: This cross-sectional study was conducted on of 20 women at Radiodiagnosis Department, Shoubra General Hospital referred from surgery clinic during a period of about one year. The study was limited to only females who were willingness to undergo additional investigations after being diagnosed as dense breast on mammography.
Results: We found that cases with ABUS study shows sensitivity about (60%) which is more than that of mammogram (30%) but less than HHUS (80%); while ABUS (70%) was less specific than both mammogram (100%) and HHUS (90%). Accuracy of HHUS (85%) was more than that of both mammogram (65%) and ABUS (65%), with P-value (0.257) to both mammogram and ABUS, and (0.008) to HHUS.
Conclusion: adding automated breast ultrasound to mammography is of great value in detection of breast cancer in mammographically dense breasts. It increases the detection rate of breast lesions mostly cancer. It is important as screening tool to decrease doses of radiation that female exposed to while mammogram screening.