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Multimodality imaging of ovarian cystic lesions: Review with an imaging based algorithmic approach
Authors:Ashish P Wasnik  Christine O Menias  Joel F Platt  Usha R Lalchandani  Deepak G Bedi  Khaled M Elsayes
Affiliation:Ashish P Wasnik, Joel F Platt, Department of Radiology, University of Michigan Health System, Ann Arbor, MI 48105, United States;Christine O Menias, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO 63110, United States;Usha R Lalchandani, Department of Radiology, Grant Medical College, Mumbai 400012, India;Deepak G Bedi, Khaled M Elsayes, Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
Abstract:Ovarian cystic masses include a spectrum of benign, borderline and high grade malignant neoplasms. Imaging plays a crucial role in characterization and pretreatment planning of incidentally detected or suspected adnexal masses, as diagnosis of ovarian malignancy at an early stage is correlated with a better prognosis. Knowledge of differential diagnosis, imaging features, management trends and an algorithmic approach of such lesions is important for optimal clinical management. This article illustrates a multi-modality approach in the diagnosis of a spectrum of ovarian cystic masses and also proposes an algorithmic approach for the diagnosis of these lesions.
Keywords:Ovarian   Neoplasm   Ultrasound   Computed tomography   Magnetic resonance imaging
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