Imaging AI prognosis of early stage lung cancer using CT radiomics.
Published in ESMO Abstracts, 2024
Recommended citation: Valter A., Kordemets T., Gasimova A., Heames B., Waterfield Price N., Hodgkinson G., Vanakesa T., Almre I., Freitag L., Carbone D., Oselin K. (2024). "Imaging AI prognosis of early stage lung cancer using CT radiomics." ESMO.
Accurate prediction of lung cancer recurrence risk is crucial for treatment decisions and follow-up, particularly for Stage I patients who are not eligible for (neo-)adjuvant therapy but approximately one-third still recur after surgical resection. We present a machine learning model that uses patient computed tomography (CT) images and clinical features to predict lung cancer recurrence.