University of Exeter’s New Algorithm Enhances Early Cancer Detection through Blood Test Innovation

University of Exeter’s New Algorithm Enhances Early Cancer Detection through Blood Test Innovation

(IN BRIEF) The University of Exeter has developed a new algorithm for interpreting blood test results, helping GPs detect potential cancer warning signs earlier, particularly through variations in platelet count. The Royal Devon University Healthcare NHS Foundation Trust is the first to apply this method to routine blood analysis, which could potentially identify thousands of patients with elevated platelet counts, allowing for earlier cancer diagnoses. The pilot program in Devon is expected to improve early detection of cancers like lung and bowel cancer, and if successful, the algorithm may be implemented nationwide. The project, funded by philanthropist David Walton, involves collaboration with the National Institute for Health and Care Research and Exeter HealthTech Research Centre.

(PRESS RELEASE) EXETER, 20-Jan-2024 — /EuropaWire/ — Researchers at the University of Exeter have developed a new approach for interpreting blood test results that could significantly enhance early cancer detection. The Royal Devon University Healthcare NHS Foundation Trust (RDUH) is the first to apply this innovative algorithm to routine blood analysis, allowing general practitioners (GPs) to more accurately detect potential cancer warning signs based on platelet count variations.

This new method focuses on identifying subtle differences in elevated platelet levels, which are often associated with cancer, particularly types such as lung and bowel cancer. The pilot initiative, starting with blood tests from five medical centers in Devon, aims to flag patients with high platelet counts, allowing GPs to take proactive steps in investigating further. It’s estimated that the algorithm could help detect around 500 patients with raised platelets annually, including approximately 20 cases where cancer could be identified earlier.

Platelets, essential blood cells responsible for clotting, naturally vary depending on a person’s age and gender, but these factors are often overlooked when interpreting test results. The new algorithm considers this variation, providing more personalized thresholds for identifying potential risks. Published in Cancers journal, the study analyzed data from over six million adults across Canada, England, and Australia and found that individual variations in platelet count could lead to earlier cancer diagnoses.

Professor Sarah Bailey, Associate Professor of Primary Care Diagnostics at the University of Exeter, led the study and expressed optimism about the impact: “This research offers GPs more tailored insights on when a raised platelet count should be seen as a warning sign for cancer. We’re excited to see the algorithm in action in Devon and hope it will expand further to improve patient outcomes and save lives.”

The pilot will run for two years, with plans to extend the system if successful. Experts believe that, if rolled out nationally, the approach could identify up to 10,000 patients with raised platelet counts annually, leading to earlier diagnosis and better outcomes. The project, titled High or Elevated Level of Platelets (HELP) Flag, has been supported by philanthropist David Walton and is being conducted in collaboration with the National Institute for Health and Care Research (NIHR) and the Exeter HealthTech Research Centre.

Media Contact:

pressoffice@exeter.ac.uk

SOURCE: University of Exeter

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