Bos, Sophie (2020) Improving Early Detection of Ovarian Cancer. Bachelor's Thesis, Life Science and Technology.
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Abstract
Worldwide, 239,000 women get affected by ovarian cancer (OC) and it causes 152,000 deaths every year. OC is a disease that is often detected late in 40% of postmenopausal women because symptoms are vague. This results into detection of the cancer in an advanced stage where less than 70% of the women survives 1 year of disease. So, the objective of this thesis is how the early detection of ovarian cancer can be improved in order to increase survival of ovarian cancer patients. The current state of ultrasound screening (TVS), multimodal screening and more extensive (additional) screening programs are being reviewed to give an answer to this question. The best possible screening method was multimodal screening (third-line screening) based on the Risk Of Ovarian Cancer Algorithm (ROCA) with CA125 tests and (additional) TVS as a secondary screen for women with an elevated risk score. Though, more studies are needed to confirm if it can definitely reduce mortality by an earlier detection. Furthermore, we need to learn more about the reproductive, environmental and genetic risk factors associated with OC to determine the specific population requiring primary prevention or screening.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Schuurs-Wisman, G.B.A. |
| Degree programme: | Life Science and Technology |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 24 Jun 2020 11:31 |
| Last Modified: | 24 Jun 2020 11:31 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/22167 |
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