Modelling DW-MRI data from primary and metastatic ovarian tumours
نویسندگان
چکیده
منابع مشابه
MRI for discriminating metastatic ovarian tumors from primary epithelial ovarian cancers
AIMS To find specific magnetic resonance imaging (MRI) features to differentiate metastatic ovarian tumors from primary epithelial ovarian cancers. METHODS Eleven cases with metastatic ovarian tumors and 26 cases with primary malignant epithelial ovarian cancers were retrospectively studied. All features such as patient characteristics, MRI findings and biomarkers were evaluated. The differen...
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Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a recent modality to investigate the major neuronal pathways of the human brain. However, the rich DW-MRI datasets cannot be interpreted without proper preprocessing. In order to achieve understandable visualizations, this dissertation reduces the complex data to relevant features. The first part is inspired by topological features in fl...
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Purpose : Only a few studies on diffusion weighted (DW) imaging of ovarian lesions have been reported (1-3). In previous studies, the role of DW imaging in distinguishing between benign and malignant cystic tumors may be limited. Katayama et al (3) reported that apparent diffusion coefficient (ADC) values may not provide additional information, especially to discriminate benign from malignant l...
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Borderline epithelial ovarian tumours (BOT) represent 15-20% of all non-benign ovarian epithelial neoplasms. Compared to malignant ovarian tumours, they usually present at a younger age and carry a far superior prognosis. Fertility-conserving surgery is an important treatment option for patients with BOT. Ultrasound and CT are both widely available and play roles in the initial investigation an...
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ژورنال
عنوان ژورنال: European Radiology
سال: 2015
ISSN: 0938-7994,1432-1084
DOI: 10.1007/s00330-014-3573-3