Back to search

The University of Edinburgh

The use of novel tumour markers and statistical models in the preoperative diagnosis of ovarian cancer

Abstract

dc:description.abstract

Malignant ovarian tumours are diagnosed at an advanced stage in 75% of cases and they have the highest mortality figures of all gynaecological cancers. As the treatment of benign and malignant adnexal masses is significantly different it is important to be able to reliably distinguish between them preoperatively. Thus, women with malignancies could be referred to cancer centres, whilst those with benign conditions could be offered more conservative management.

Degree

thesis:*
Grantor dc:publisher
The University of Edinburgh
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lawrence, Alexandra Claire

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1842/29843
OAI identifier oai:identifier
oai:era.ed.ac.uk:1842/29843

Chain of custody

source
Harvested from
University of Edinburgh
Base URL
era.ed.ac.uk/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Lawrence, Alexandra Claire. The use of novel tumour markers and statistical models in the preoperative diagnosis of ovarian cancer. The University of Edinburgh, 2008. http://hdl.handle.net/1842/29843