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Erschienen in: European Radiology 9/2014

01.09.2014 | Oncology

Diffusion-weighted MR imaging for differentiating borderline from malignant epithelial tumours of the ovary: pathological correlation

verfasst von: Shu Hui Zhao, Jin Wei Qiang, Guo Fu Zhang, Feng Hua Ma, Song Qi Cai, Hai Ming Li, Li Wang

Erschienen in: European Radiology | Ausgabe 9/2014

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Abstract

Objectives

To investigate diffusion-weighted (DW) magnetic resonance (MR) imaging for differentiating borderline from malignant epithelial tumours of the ovary.

Methods

This retrospective study included 60 borderline epithelial ovarian tumours (BEOTs) in 48 patients and 65 malignant epithelial ovarian tumours (MEOTs) in 54 patients. DW imaging as well as conventional MR imaging was performed. Signal intensity on DW imaging was assessed and apparent diffusion coefficient (ADC) value was measured. The results were correlated with histopathology and cell density.

Results

The majority of MEOTs showed high signal intensity on DW imaging, whereas most BEOTs showed low or moderate signal intensity (P = 0.000). The mean ADC value of the solid components in BEOTs (1.562 ± 0.346 × 10−3 mm2/s) was significantly higher than in MEOTs (0.841 ± 0.209 × 10−3 mm2/s). A threshold value of 1.039 × 10−3 mm2/s permitted the distinction with a sensitivity of 97.0 %, a specificity of 92.2 % and an accuracy of 96.4 %. There was an inverse correlation between ADC value and cell density (r = −0.609; P = 0.0000) which was significantly lower in BEOTs than in MEOTs.

Conclusions

DW imaging is useful for differentiating borderline from malignant epithelial tumours of the ovary.

Key Points

DW MR imaging is useful for differentiating BEOTs from MEOTs.
Patients with BEOTs are treated differently from patients with MEOTs.
Conservative fertility-sparing laparoscopic surgery can be performed in patients with BEOTs.
BEOTs often affect young women of childbearing age.
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Metadaten
Titel
Diffusion-weighted MR imaging for differentiating borderline from malignant epithelial tumours of the ovary: pathological correlation
verfasst von
Shu Hui Zhao
Jin Wei Qiang
Guo Fu Zhang
Feng Hua Ma
Song Qi Cai
Hai Ming Li
Li Wang
Publikationsdatum
01.09.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 9/2014
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-014-3236-4

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