LTS Lung Texture Score

Project Abstract:

Pulmonary function testing is currently the standard tool for objectively assessing lung disease severity in chronic parenchymal and alveolar lung diseases such as pulmonary sarcoidosis However pulmonary function tests are subject to variability eg patient effort technical laboratory methodology different interpretive algorithms Highresolution chest CT imaging is very sensitive for detecting lung pathology However current approaches to CT scan results interpretation are poorly standardized requiring timeconsuming volumetric tracing in identifying pathological features which results in difficulty in evaluating interstitial lung disease ILD At present there is no convenient wellstandardized radiologistgenerated CT image analysis approach that provides a reliable quantitative assessment of lung disease Dr Erdal and colleagues are developing a software tool that is an efficient objective and quantifiable approach to chest CT image analysis using an OSU published and peerreviewed Lung Texture Score scale The solution can be integrated into conventional workflows of commercial CT imaging systems or as a postimaging workstation

Program:

NCAI

Disease Area:

Lung

Project Completion Status:

Completed

Center Hub:

NCAI-CC

Indication:

Lung Imaging

University/Institution:

Ohio State University

Technology:

Health information technology

Startup Name:

BRELA Technologies

Contact:

Vara Prasad [email protected]