Monday, 02 July 2018 15:15
CT textural and shape features as prognostic indicators for NSCLC
Intense research is being conducted throughout the world to identify biomarkers seen on computed tomography (CT) imaging that can help predict prognoses in patients with non-small-cell lung cancer (NSCLC). Such biomarkers could help improve and personalize treatment plans for patients. A team of radiologists, engineers, and biomedical specialists at the University of Perugia evaluated 30 three-dimensional shape and textural CT-derived features as potential biomarkers predictive of overall survival of 203 NSCLC patients. Find out more.
Published in
Research
