卵巢的膀胱的损害的 Multimodality 成像：有成像的评论基于算法的途径

• 作者: Ashish P Wasnik Christine O Menias Deepak G Bedi Joel F Platt Khaled M Elsayes Usha R Lalchandani
• 来源期刊: 世界放射学杂志：英文版（电子版）
• 学科: 医学
• 关键词: OVARIAN NEOPLASM Ultrasound COMPUTED TOMOGRAPHY Magnetic resonance imaging
• 年，卷（期）: 2013,（3）
• 页码范围: 113-125
• 页数: 13页
• 分类号: R737.31

摘要

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.