title: Multimodality imaging of ovarian cystic lesions: Review with an imaging based algorithmic approach.
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.
authors.affiliation: Ashish P Wasnik, Joel F Platt, Department of Radiology, University of Michigan Health System, Ann Arbor, MI 48105, United States.
authors.forename: Ashish P
authors.initials: AP
authors.lastname: Wasnik
authors.forename: Christine O
authors.initials: CO
authors.lastname: Menias
authors.forename: Joel F
authors.initials: JF
authors.lastname: Platt
authors.forename: Usha R
authors.initials: UR
authors.lastname: Lalchandani
authors.forename: Deepak G
authors.initials: DG
authors.lastname: Bedi
authors.forename: Khaled M
authors.initials: KM
authors.lastname: Elsayes
keywords: Computed tomography; Magnetic resonance imaging; Neoplasm; Ovarian; Ultrasound