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Computer-based analysis of early fibrosing lung disease (360G-Wellcome-209553_Z_17_Z)

<p>Fibrosing lung disease (FLD) is an idiopathic condition, affecting older patients (median age=65 years) and smokers, accounting for 0.9% of all UK deaths in 2012. Unfortunately, despite newly available treatment options,&nbsp;FLD is typically diagnosed at an advanced stage with patients already markedly functionally&nbsp;impaired. Patient decline is often rapid.</p> <p>&nbsp;</p> <p>A constraint with diagnosing disease at an early stage&nbsp;is that&nbsp;subtle minor CT abnormalities that may evolve&nbsp;into&nbsp;rapidly progressive disease, are hard to identify and yet&nbsp;to be characterised&nbsp;visually. Large population studies may identify those subtle CT features portending progressive disease. Such large-scale analysis of CT imaging would be best suited to advanced computer analytic tools. We therefore aim to develop sophisticated computer tools to evaluate CTs in&nbsp;20,000 heavy-smoker patients undergoing repeated chest imaging,&nbsp;as part of a lung cancer screening study,&nbsp;to identify&nbsp;early and potentially progressive FLD on CT.</p> <p>&nbsp;</p> <p>GOALS</p> <p>1.Characterise baseline CT patterns indicative of early FLD and progressive FLD.</p> <p>2.&nbsp;Predict the trajectory of a patient&rsquo;s fibrosis progression using computer quantitation of change in an individuals CT features.</p> <p>3. Generate population-wide quantitative CT metrics (age, gender and race specific) as a reference range&nbsp;applicable to other worldwide lung cancer screening studies.</p>


06 Dec 2017

Grant details
Amount Awarded 1034494
Applicant Surname Jacob
Approval Committee Clinical Interview Committee
Award Date 2017-12-06T00:00:00+00:00
Financial Year 2017/18
Grant Programme: Title Clinical Research Career Development Fellowship
Internal ID 209553/Z/17/Z
Lead Applicant Dr Joseph Jacob
Planned Dates: End Date 2023-03-15T00:00:00+00:00
Planned Dates: Start Date 2018-03-15T00:00:00+00:00
Recipient Org: Country United Kingdom
Region Greater London
Sponsor(s) Prof Sam Janes
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