The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions

Purpose: Our aim was to evaluate the diagnostic potential of diffusion-weighted (DW) and dynamic contrast enhanced MRI (DCE-MR) in the diagnosis and characterization of complex ovarian lesions. Patients and methods: We prospectively evaluated 59 patients with 65 complex ovarian lesions detected at U...

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Main Authors: Sally Emad-Eldin, Marie N. Grace, Manal H. Wahba, Rana M. Abdella
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Online Access:http://www.sciencedirect.com/science/article/pii/S0378603X18300044
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spelling doaj-7ac14551bf4840bba630a9c6372cd2092020-11-25T02:35:55ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine0378-603X2018-09-01493884891The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesionsSally Emad-Eldin0Marie N. Grace1Manal H. Wahba2Rana M. Abdella3Diagnostic and Intervention Radiology Department, Cairo University Hospitals, Kasr Al-Ainy, Cairo, EgyptDiagnostic and Intervention Radiology Department, Cairo University Hospitals, Kasr Al-Ainy, Cairo, Egypt; Corresponding author at: Diagnostic and Intervention Radiology Department, Cairo University Hospitals, El-Manial, 11956 Cairo, Egypt.Diagnostic and Intervention Radiology Department, Cairo University Hospitals, Kasr Al-Ainy, Cairo, EgyptDepartment of Gynecology and Obstetrics, Cairo University Hospitals, Kasr Al-Ainy, Cairo, EgyptPurpose: Our aim was to evaluate the diagnostic potential of diffusion-weighted (DW) and dynamic contrast enhanced MRI (DCE-MR) in the diagnosis and characterization of complex ovarian lesions. Patients and methods: We prospectively evaluated 59 patients with 65 complex ovarian lesions detected at US. MRI examinations were performed using a 1.5 T MRI machine. Masses were classified as benign (n = 30), borderline (n = 7) and malignant (n = 28). Regions of interest were drawn and parameters were calculated such as apparent diffusion coefficient (ADC) values for the diffusion; maximum absolute enhancement (SI-max), maximum relative enhancement (MRE), time to peak (T-max) and wash-in-rate (WIR) for the dynamic parameters. Results: There was a significant difference in ADC values (P < 0.001), SI-max (P < 0.05), MRE% (P < 0.001), T-max (P < 0.001) and WIR (P < 0.001) between benign and borderline/invasive malignant groups. A cut-off ADC value ≤ 0.95 had a PPV of 81.8% for prediction of borderline/invasive malignant lesions; a cut-off Tmax ≤ 141 s had a specificity of 86.7% and PPV of 86.7% for predicting malignancy. Conclusion: The addition of DW and DCE-MRI to the conventional MRI improved its diagnostic value. They provide additional information for the lesion behavior. Thus they are recommended to be added to the routine conventional MRI to help characterization of complex masses. Keywords: Diffusion, DCE-MRI, Complex, Ovarianhttp://www.sciencedirect.com/science/article/pii/S0378603X18300044
collection DOAJ
language English
format Article
sources DOAJ
author Sally Emad-Eldin
Marie N. Grace
Manal H. Wahba
Rana M. Abdella
spellingShingle Sally Emad-Eldin
Marie N. Grace
Manal H. Wahba
Rana M. Abdella
The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
The Egyptian Journal of Radiology and Nuclear Medicine
author_facet Sally Emad-Eldin
Marie N. Grace
Manal H. Wahba
Rana M. Abdella
author_sort Sally Emad-Eldin
title The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
title_short The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
title_full The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
title_fullStr The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
title_full_unstemmed The diagnostic potential of diffusion weighted and dynamic contrast enhanced MR imaging in the characterization of complex ovarian lesions
title_sort diagnostic potential of diffusion weighted and dynamic contrast enhanced mr imaging in the characterization of complex ovarian lesions
publisher SpringerOpen
series The Egyptian Journal of Radiology and Nuclear Medicine
issn 0378-603X
publishDate 2018-09-01
description Purpose: Our aim was to evaluate the diagnostic potential of diffusion-weighted (DW) and dynamic contrast enhanced MRI (DCE-MR) in the diagnosis and characterization of complex ovarian lesions. Patients and methods: We prospectively evaluated 59 patients with 65 complex ovarian lesions detected at US. MRI examinations were performed using a 1.5 T MRI machine. Masses were classified as benign (n = 30), borderline (n = 7) and malignant (n = 28). Regions of interest were drawn and parameters were calculated such as apparent diffusion coefficient (ADC) values for the diffusion; maximum absolute enhancement (SI-max), maximum relative enhancement (MRE), time to peak (T-max) and wash-in-rate (WIR) for the dynamic parameters. Results: There was a significant difference in ADC values (P < 0.001), SI-max (P < 0.05), MRE% (P < 0.001), T-max (P < 0.001) and WIR (P < 0.001) between benign and borderline/invasive malignant groups. A cut-off ADC value ≤ 0.95 had a PPV of 81.8% for prediction of borderline/invasive malignant lesions; a cut-off Tmax ≤ 141 s had a specificity of 86.7% and PPV of 86.7% for predicting malignancy. Conclusion: The addition of DW and DCE-MRI to the conventional MRI improved its diagnostic value. They provide additional information for the lesion behavior. Thus they are recommended to be added to the routine conventional MRI to help characterization of complex masses. Keywords: Diffusion, DCE-MRI, Complex, Ovarian
url http://www.sciencedirect.com/science/article/pii/S0378603X18300044
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