Radiomics Identifies Lung Cancer Patients Who Might Benefit from Chemotherapy

November 6, 2019 | Article

According to a recent study published in Radiology: Artificial Intelligence, using data from computed tomography (CT) images of texture features from both within and around the lung tumor may help researchers predict which lung cancer patients will respond to chemotherapy. The ability to predict which patients will benefit most from chemotherapy has the potential to save healthcare organizations, insurers and patients millions of dollars. It could also spare patients from undergoing these treatments unnecessarily.

Click here to read more about the study, which suggests that using radiomics to extract quantitative data from CT images can reveal disease characteristics not visible in the images alone.

HealthMyne helps clinicians extract radiomic features in the standard clinical workflow and notify them when patients match certain features or signatures. Learn more by scheduling a personalized demo here.