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Projects - Core Projects

Examination of Diagnostic Pathways of People with Lung Cancer (PhD)

Examination of Diagnostic Pathways of People with Lung Cancer (PhD)

The overall purpose of this study is to examine the diagnostic pathways by which people are diagnosed with lung cancer in Washington state. Examining the pathways to diagnosis of patients with lung cancer will help to answer key questions about individuals who are identified by recommended LDCT screening, those diagnosed through symptomatic presentation or through opportunistic diagnosis.
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Achieving earlier cancer diagnosis in primary care using routine blood test results: a study using US healthcare claims data

Achieving earlier cancer diagnosis in primary care using routine blood test results: a study using US healthcare claims data

This study will use advanced data science techniques to develop a tool that can predict if a person has undiagnosed cancer, based on their blood test results.
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Optimising diagnostic strategies for patients presenting to primary care with upper abdominal symptoms to improve the pathway to the early detection of pancreatic cancer (PhD)

Optimising diagnostic strategies for patients presenting to primary care with upper abdominal symptoms to improve the pathway to the early detection of pancreatic cancer (PhD)

By exploring how GPs interpret and act on non-specific upper GI symptoms this project aims to optimise diagnostic strategies for upper abdominal symptoms to improve pathways to the early detection of pancreatic cancer.
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CanTest Social Network Analysis

CanTest Social Network Analysis

A study to demonstrate the impact of the CanTest Collaborative in strengthening the research community for early cancer diagnosis in primary care – quantitative and qualitative research techniques used in Social Network Analysis will be used to track the growth and development of the CanTest Network throughout the 5-year collaboration
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Diagnostic accuracy of FIT in patients urgently referred for colorectal cancer

Diagnostic accuracy of FIT in patients urgently referred for colorectal cancer

Colorectal cancer (CRC) is among the most frequent types of cancer worldwide, and a leading cause of cancer death. Patients presenting with ‘alarm’ symptoms may be referred by their general practitioner. We aim to evaluate the diagnostic accuracy and applicability of FIT in this group of patients.
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Studying the Continuum of Cancer Care through Linking Primary Data (PhD)

Studying the Continuum of Cancer Care through Linking Primary Data (PhD)

Using the VCCC Cancer Health Data Platform, this project will investigate primary care across the cancer journey, including diagnosis, during acute treatment and follow-up survivorship care.
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The management of patients with anaemia, the risk of cancer and cancer-related anaemia subtypes (PhD)

The management of patients with anaemia, the risk of cancer and cancer-related anaemia subtypes (PhD)

This project will provide new insight into the management of anaemic patients, the cancer risk for selected anaemia subtypes and the distribution of cancer-related anaemia.
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Establishing which modalities of artificial intelligence (AI) for early detection and diagnosis of cancer are ready for implementation in the NHS: A Scoping Review

Establishing which modalities of artificial intelligence (AI) for early detection and diagnosis of cancer are ready for implementation in the NHS: A Scoping Review

There is accumulating evidence that AI can assist clinicians to make better clinical decisions or even replace human judgement in certain areas of healthcare. In this scoping review we will focus on which modalities of AI for early detection and diagnosis of cancer are ready for possible implementation in the NHS.
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