## Abstract ## Purpose: To reveal the possible role of diffusion‐weighted images (DWI) in the differential diagnosis of benign and malignant thyroid nodules by comparing the results of fine‐needle aspiration cytology (FNAC). ## Materials and Methods: In an 18‐month period (December 2005 to May 2
Diagnostic accuracy of diffusion-weighted imaging in differentiating benign from malignant ovarian lesions
✍ Scribed by Shinya Fujii; Suguru Kakite; Keisuke Nishihara; Yoshiko Kanasaki; Tasuku Harada; Junzo Kigawa; Toshio Kaminou; Toshihide Ogawa
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 539 KB
- Volume
- 28
- Category
- Article
- ISSN
- 1053-1807
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✦ Synopsis
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. J. Magn. Reson. Imaging 2008;28:1149–1156. © 2008 Wiley‐Liss, Inc.
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