MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors
El Ameen, N., Eissawy, M., Mohsen, L., Nada, O., Beshreda, G. (2019). MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors. EKB Journal Management System, 30(4), 128-137. doi: 10.21608/mjmr.2022.221699
Nadia F. El Ameen; Mohamed G. Eissawy; Laila Adel M. S. Mohsen; Omnia M. Nada; Gerges M. Beshreda. "MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors". EKB Journal Management System, 30, 4, 2019, 128-137. doi: 10.21608/mjmr.2022.221699
El Ameen, N., Eissawy, M., Mohsen, L., Nada, O., Beshreda, G. (2019). 'MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors', EKB Journal Management System, 30(4), pp. 128-137. doi: 10.21608/mjmr.2022.221699
El Ameen, N., Eissawy, M., Mohsen, L., Nada, O., Beshreda, G. MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors. EKB Journal Management System, 2019; 30(4): 128-137. doi: 10.21608/mjmr.2022.221699

MR diffusion and MR dynamic contrast-enhanced sequences in the characterization of ovarian tumors

Minia Journal of Medical Research
Article 21, Volume 30, Issue 4, October 2019, Page 128-137  XML PDF (362.87 K)
Document Type: Original Article
DOI: 10.21608/mjmr.2022.221699
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Authors
Nadia F. El Ameen1; Mohamed G. Eissawy1; Laila Adel M. S. Mohsen1; Omnia M. Nada2; Gerges M. Beshreda1
1Department of Radiology, Faculty of Medicine.El Minia university-El Minia- Egypt
2Department of Radiology, National institute of cancer- Cairo university- Cairo-Egypt.
Abstract
Objective: To test and compare the sensitivity and accuracy of diffusion weighted imaging (DWI) 
and MR perfusion in women having ovarian tumors. Patients and Methods: Fifty women with 
ovarian masses were collected after meeting the inclusion criteria depending on gray scale 
sonographic findings which suggested the presence of ovarian masses. Conventional MRI, Diffusion 
weighted imaging (DWI) and MR perfusion (MRP) were done for all patient cohort after the approval 
of ethical committee of our institution. The sensitivity and accuracy of the techniques were compared. 
Results: The surgical and pathological reports of our patients proved non tumorous lesion in three 
patients. They proved benign ovarian tumors in 18/47 (38.3%) patients, borderline tumors in 4/47 
(8.5%) patients and malignant ovarian tumors in 25/47 (53.2 %) patients. According to conventional 
MRI ovarian tumors could be diagnosed with sensitivity 92 %, specificity 61.11%, PPV 76.7 %, NPV 
84.6% and accuracy 79.1 %. DWI and MR perfusion showed the same results where they showed 
sensitivity 98 %, specificity 83%, PPV 90 % , NPV 98 % and accuracy 93% with ADC cut off value 
1x10-3 mm2
/sec. Conclusion: Diffusion weighted imaging and MR perfusion are useful in diagnosis 
of ovarian tumors with approximately the same sensitivity and positive impact on the operative 
management.

Keywords
MRI ovarian cancer; MR diffusion; MR perfusion; ovarian tumors characterization
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