000 02547cam a2200325 a 4500
003 EG-GiCUC
008 161015s2016 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.11.31.M.Sc.2016.Ma.R
100 0 _aManar Magdy Abdelnaby
245 1 4 _aThe role of dynamic contrast enhanced MR imaging in the assessment of ovarian masses /
_cManar Magdy Abdelnaby ; Supervised Sahar Mahmoud Mansour , Raafat Ragaie Abdelmalek , Wessam Abdelrahman Elzayat
246 1 5 _aدور التصوير بالرنين المغناطيسي الديناميكي بعد الصبغة في تقييم أورام المبايض
260 _aCairo :
_bManar Magdy Abdelnaby ,
_c2016
300 _a93P. :
_bcharts , facsimiles ;
_c25cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Medicine - Department of Radio-diagnosis
520 _a Objectives: To evaluate the diagnostic performance of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) for the characterization of complex ovarian tumors, by using histologic findings as the reference standard. Patients & methods: thirty patient (age range from 22 to 61) with thirty two complex ovarian masses underwent DCE-MRI before surgical excision. The study included 7 benign, 4 borderline & 21 malignant masses. The following kinetic parameters were analyzed: enhancement amplitude (EA) in the form of MRE%, time to peak in the form of T max & maximal slope (MS) & correlated with histopathological results. Results: DCE-MRI achieved higher overall accuracy (96%) & specificity (100%) than conventional MRI. MRE% was higher for malignant than for benign (p0.004) & borderline masses (p0.036). T max was of shorter duration in malignant than in benign (p, 0.0002) and borderline (p, 0.049) masses. MS was the best criterion to differentiate between benign, borderline & malignant tumors. Type III curve was specific for invasive malignant tumors. Conclusion: DCE-MRI can be a useful tool in characterization of complex ovarian masses & in differentiating between borderline & invasive malignant neoplasms
530 _aIssued also as CD
653 4 _aDCE-MRI
653 4 _aEnhancement amplitude
653 4 _aOvarian masses
700 0 _aRaafat Ragaie Abdelmalek ,
_eSupervisor
700 0 _aSahar Mahmoud Mansour ,
_eSupervisor
700 0 _aWessam Abdelrahman Elzayat ,
_eSupervisor
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c58054
_d58054