Book chapter
Chapter 7 - Early detection matters: Screening and diagnostic tools
Ovarian Cancer, pp.187-204
Elsevier
2025
DOI: 10.1016/B978-0-443-33536-5.00019-5
Abstract
Ovarian cancer remains one of the leading causes of gynecologic cancer-related mortality due to its often late diagnosis and subtle early symptoms. Early detection is pivotal for improving prognosis and survival rates, as most cases are diagnosed at advanced stages when therapeutic options are limited. This chapter explores the critical importance of early detection and reviews current and emerging screening and diagnostic tools for ovarian cancer. It examines traditional methods such as pelvic examinations, transvaginal ultrasound, and serum biomarkers like cancer antigen-125, highlighting their strengths and limitations. Additionally, the chapter delves into advancements in molecular diagnostics, including liquid biopsies, circulating tumor deoxyribonucleic acid, microRNAs, and proteomics, which promise enhanced sensitivity and specificity. The role of risk stratification models, genetic testing for breast cancer mutations, and other hereditary syndromes is also discussed in the context of high-risk populations. Furthermore, the potential of artificial intelligence and machine learning to transform diagnostic pathways is analyzed. By providing a comprehensive overview of current practices and emerging innovations, this chapter underscores the urgent need for effective early detection strategies to reduce the global burden of ovarian cancer.
Details
- Title: Subtitle
- Chapter 7 - Early detection matters: Screening and diagnostic tools
- Creators
- Avinash Khadela - B.J. Medical CollegeJeel Trivedi - B.J. Medical CollegeSunayna Saluja - B.J. Medical CollegeIsha Shah - B.J. Medical CollegeManthan Merja - Gujarat Cancer & Research InstituteRushabh Kothari - Gujarat Cancer & Research InstituteMehul R. Chorawala - B.J. Medical CollegeRajanikant Patel - Department of Product Development, Granules Pharmaceuticals Inc., Chantilly, VA, United StatesRakesh B. Patel - University of Iowa, Internal Medicine
- Resource Type
- Book chapter
- Publication Details
- Ovarian Cancer, pp.187-204
- DOI
- 10.1016/B978-0-443-33536-5.00019-5
- Publisher
- Elsevier; Amsterdam, Netherlands
- Language
- English
- Date published
- 2025
- Academic Unit
- Internal Medicine
- Record Identifier
- 9985132078202771
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