Literature DB >> 18972356

Diagnostic accuracy of diffusion-weighted imaging in differentiating benign from malignant ovarian lesions.

Shinya Fujii1, Suguru Kakite, Keisuke Nishihara, Yoshiko Kanasaki, Tasuku Harada, Junzo Kigawa, Toshio Kaminou, Toshihide Ogawa.   

Abstract

PURPOSE: To clarify the diagnostic accuracy of diffusion-weighted imaging (DWI) in differentiating benign from malignant ovarian lesions.
MATERIALS AND METHODS: We retrospectively analyzed magnetic resonance images of 123 ovarian lesions in 119 patients. We defined lesions with abnormal signal intensity as malignancy and assessed the location of abnormal intensity within the lesions on DWI. We also assessed the mean and lowest apparent diffusion coefficient (ADC) values of the solid portion for each ovarian lesion.
RESULTS: The majority of malignant ovarian tumors and mature cystic teratomas, and almost half of the endometriomas, showed abnormal signal intensity on DWI, whereas most fibromas and other benign lesions did not. The main locations of abnormal signal intensity were solid portions in malignant ovarian tumors, cystic components suggestive of keratinoid substances and Rokitansky protuberance in mature cystic teratomas, and intracystic clots in endometriomas. On DW imaging, receiver-operating characteristic analysis yielded mean Az values of 0.703. There was no significant difference in mean and lowest ADC values between malignant and benign lesions.
CONCLUSION: DWI of ovarian lesions and ADC values of the solid component are not useful for differentiating benign from malignant ovarian lesions. This knowledge is essential in avoiding misinterpretation in the diagnosis of ovarian lesions. Copyright (c) 2008 Wiley-Liss, Inc.

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Mesh:

Year:  2008        PMID: 18972356     DOI: 10.1002/jmri.21575

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  35 in total

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9.  Quantitative multiparametric MRI of ovarian cancer.

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10.  Appearance of abdominal wall endometriosis on MR imaging.

Authors:  Milou P H Busard; Velja Mijatovic; Cees van Kuijk; Peter G A Hompes; Jan Hein T M van Waesberghe
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