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New Symptom Tool Aims to Transform Early Ovarian Cancer Detection

Australian researchers are piloting a digital assessment tool to address late-stage diagnoses, while clinicians emphasize awareness of subtle symptoms and risk factors.

 Ovarian cancer can be benign or malignant, with early detection crucial for survival.
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Overview

  • Over 75% of ovarian cancer cases are diagnosed at an advanced stage, contributing to a global five-year survival rate of just 49%.
  • A University of South Australia team, funded by Health Translation SA, is co-designing a user-friendly symptom assessment tool to improve early detection.
  • The tool will incorporate feedback from patients and clinicians to identify common symptoms and risk patterns, with a prototype currently under development.
  • Clinicians urge women to monitor subtle symptoms such as persistent bloating, pelvic pain, urinary changes, and appetite loss, and to seek timely GP evaluations.
  • Protective factors like oral contraceptive use and breastfeeding, alongside lifestyle changes, can reduce ovarian cancer risk.