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Updated: Jun 13, 2026

Quantitation of Intra-peritoneal Ovarian Cancer Metastasis
Published on: July 18, 2016
Can quantitative dynamic contrast-enhanced MRI independently characterize an ovarian mass?
Philip Dilks1, Priya Narayanan, Rodney Reznek
1Barts and The London NHS Trust, London, UK. philip.dilks@bartsandthelondon.nhs.uk
Objectives:
Our aim was to establish threshold criteria based on quantitative DCE-MRI data as independent predictors of malignancy in a complex (solid, solid/cystic) ovarian mass.
Methods:
The MRI of 26 lesions in 25 patients with a complex ovarian mass (age range, 17-80 years; mean 43 years) was retrospectively reviewed and correlated with histology following resection. Cases with solid tumour components, definitive histology and relevant dynamic imaging were included. These were categorised into two groups, benign (N = 14) and malignant (N = 12). Following dynamic contrast-enhanced imaging, regions of interest were drawn around the solid tumour component. Maximum actual enhancement (SImax), maximum relative enhancement (SIrel), wash-in rate (WIR) and SImax (tumour)/SImax (psoas) ratio were analysed. Threshold criteria for malignancy were established.
Results:
There was a significant difference in SImax (p < 0.001), SIrel (p < 0.05), WIR (p < 0.001) and SImax (tumour)/SImax (psoas) between the two groups. Optimal threshold criteria for malignancy were established; SImax > or = 250 or SImax (tumour)/SImax (psoas) > or = 2.35 divided the two groups with 100% sensitivity, specificity and accuracy.
Conclusion:
Threshold criteria established in this preliminary study using quantitative DCE-MRI provide an accurate method for the prediction of malignancy, particularly in preoperative indeterminate cases.
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Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

