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CT and MRI in Ovarian Carcinoma

Rosemarie Forstner

Contents

1 

Introduction\

288

2    Epidemiology and Risk Factors\

288

2.1  Familial or Hereditary Ovarian Cancers\

288

3    Screening for Ovarian Cancer\

289

4    Tumorigenesis of Ovarian Cancer\

289

5 

Tumor Markers\

290

6 

Clinical Presentation\

290

7    Imaging of Ovarian Cancer\

290

7.1  Imaging Findings in Ovarian Cancer\

290

7.2  Pathways of Spread in Ovarian Cancer\

297

7.3  Staging of Ovarian Cancer\

298

7.4 

Tumor Types\

302

7.5 

Fallopian Tube Cancer\

318

References\

319

Abstract

Primary ovarian cancer is categorized as surface epithelial cancer, germ cell tumors, and sex cord stromal tumors. Epithelial ovarian cancer is now understood as a spectrum of different cancer entities that vary considerably on a clinicopathological and molecular level. Disseminated peritoneal spread and ascites is typical of the most common cancer type, high grade serous ovarian cancer. Other cancer subtypes may show distinct features in imaging. CT and MRI are usually complementary techniques to ultrasonography to further assess indeterminate or frankly malignant ovarian lesions. In the latter CT is the imaging modality of choice for triaging patients with ovarian cancer. MRI is emerging as a new technique to assess peritoneal spread and is superior to CT in lesion characterization. This chapter will make familiar with recent concepts in ovarian cancer. Typical imaging findings and differential diagnostic aspects of various types of ovarian malignancies as well as the update of the FIGO staging classification and respectability criteria will be covered.

The original version of this chapter was revised. The

 

 

Abbreviations

erratum to this chapter is available online at DOI

10.1007/174_2018_189.

 

 

R. Forstner (*)

ADC\

Apparent diffusion coefficient

Salzburger Landeskliniken, Paracelsus Medical

BT\

Borderline tumor

University, Müllner Hauptstr. 48, Salzburg, 5020,

CT\

Computed tomography

Austria

DCE\

Dynamic contrast enhanced

e-mail: R.Forstner@salk.at

 

 

Med Radiol Diagn Imaging (2017)

 

287

DOI 10.1007/174_2017_17, © Springer International Publishing AG

 

Published Online: 17 March 2017

 

 

288

R. Forstner

 

 

DWI\

Diffusion-weighted imaging

IV\

Intravenous

MRI\

Magnetic resonance imaging

SI\

Signal intensity

1\ Introduction

The vast majority of ovarian carcinomas are epithelial in origin, accounting for more than 90% of the estimated 22,280 new cases of ovarian cancer diagnosed in 2016 in the United States (Cancer Fact and Figures 2016). Most fallopian tube carcinomas and peritoneal carcinomas are now considered a clinical entity with high-grade serous ovarian cancer. While early-stage cancer is often curable, advanced-stage ovarian cancer is one of the most lethal cancers in women, with a 5-year survival of approximately 28% when a patient is diagnosed with tumor spread outside the pelvis (Clarke-Pearson 2009). Nowadays ovarian cancer is understood as a spectrum of different cancer entities that vary considerably on a clinicopathological and molecular level. Genomic profiling may open new approaches of personalized medicine in treatment of ovarian cancer (Jayson et al. 2014).

2\ Epidemiology and Risk

Factors

In developed countries, ovarian cancer accounts for only 3% of cancer in females, but ranks fifth in cancer mortality, and is the leading cause of death among the gynecological cancers (Cancer Fact and Figures 2016). It is estimated that one woman in 75 will develop ovarian cancer, and one woman in 100 will die of the disease. Ovarian cancer is often clinically silent and about 75% of women present with advanced stages.

The incidence rate of ovarian cancer is higher in White women than in Black or Asian women and differs across the world (Cancer Fact and Figures 2016). The strongest patient-related risk factors for ovarian cancer are family history and increasing age. The vast majority of epithelial ovarian carcinomas are diagnosed in the postmenopausal period, with more than half of the

cases diagnosed in the UK are females aged 65 years or older (Ovarian Cancer Statistics).

In patients with genetic predisposition, ovarian cancers occur approximately 10 years earlier (Jayson et al. 2014). In females younger than 20 years of age, germ cell tumors account for more than two-thirds of malignant ovarian tumors. Prolonged times of uninterrupted ovulations seem to play a role in the development of ovarian cancer. Infertility, nulliparity, late menopause, early menarche, polycystic ovary syndrome, endometriosis, and cigarette smoking harbor an increased risk of ovarian cancer (Carlson 2016).

2.1\ Familial or Hereditary Ovarian Cancers

Genetic, reproductive, and environmental factors have been identified to play a role in the development of ovarian cancer. Approximately 5–15% of ovarian cancers are considered hereditary cancers. Families with three or more first-degree relatives with ovarian and/or ovarian and breast cancer carry a substantially (16–60%) increased risk for developing ovarian cancer (Pennington and Wsisher 2012).

Hereditary breast-ovarian cancer syndrome (HBOC) accounts for the vast majority (85–90%) of all hereditary ovarian cancers (Jayson et al. 2014; Ozols et al. 2001). In hereditary nonpolyposis colorectal cancer (HNPCC) syndrome, the Lynch syndrome, patients present with colon, endometrial, breast, ovarian, and other cancers (Pennington and Wsisher 2012). Their estimated ovarian cancer risk is 8–10% (Pennington and Wsisher 2012). BRCA mutation carriers have a substantially higher lifetime risk of 10–40% to develop ovarian cancer. It is higher in BRCA1 (35–60%) than in BRCA2 (12–25%) mutation carriers (Pennington and Wsisher 2012). Hereditary ovarian cancer has been attributed mainly to mutations in BRCA1 and BRCA2 genes, but numerous new high-risk genes including PTEN, TP53, CDH1, and STK11 and other germ line mutations have been identified with advances in genomic testing (Runnebaum and Arnold 2013). BRCA mutations are associated mostly with high-grade serous cancers that present