Dipartimento d'Ingegneria

Monday, 02 July 2018 15:15

CT textural and shape features as prognostic indicators for NSCLC Featured

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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.
Read 25524 times Last modified on Monday, 02 July 2018 15:26

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