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العنوان
THE ROLE of MAGNETIC RESONANCE SPECTROSCOPY in DIAGNOSIS and CHARACTERIZATION of OVARIAN TUMORS
المؤلف
Kambal,Tagwa Babiker,
هيئة الاعداد
باحث / تقـــوى بابكــــر كمبـــــال
مشرف / ســـامر مــلاك بطــرس
مشرف / آيـه يـــس أحمـد
الموضوع
OVARIAN TUMORS-
تاريخ النشر
2013
عدد الصفحات
99.p:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2013
مكان الإجازة
جامعة عين شمس - كلية الطب - Radiodiagnosis
الفهرس
Only 14 pages are availabe for public view

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from 99

Abstract

O
varian carcinoma is an insidious disease, and patients often present with an advanced (extra pelvic) stage of disease. Despite clinical advance and improved surgical techniques, it remains the deadliest form of gynecologic malignancy.
The primary goal of imaging in the evaluation of an adnexal mass is to differentiate malignant and benign diagnoses in order to direct patients to the appropriate treatment algorithm.
Magnetic resonance (MR) imaging has also proved useful for characterizing benign and malignant ovarian tumors; moreover, it enables a specific diagnosis to be made for certain pathologic types. For example, MR imaging is well known to provide accurate information about hemorrhage, fat, and collagen.
Gadolinium-enhanced MR imaging serves as a problem-solving modality in cases of indeterminate adnexal masses. A combination of T1-weighted images and T1-weighted images with fat saturation helps to differentiate most common benign adnexal masses from malignant ones.
Magnetic resonance spectroscopy is a non-invasive means of obtaining metabolic information by recording signals from metabolites present in tissues, while the water.
Magnetic Resonance Spectroscopy served as new clinical tool, can provide functional and metabolic rather than morphologic tissue properties. Therefore, it can be used to improve diagnostic accuracy, grade tumors, offer guidance for surgical intervention and drug treatment and determine early response to therapy.
Magnetin Resonance Spectroscopy can discriminate between different histologic type of epithieal ovarian tumors and healthy ovarian tissue. Can generate statistical models capaple of classifying borderline tumors. Also can establish apotential relationship with patien survival or response to chemotherapy.