Recently, a machine learning framework was proposed for better discrimination of the prognosis of lung NETs based on a quantitative, automated and repeatable evaluation of the spatial distribution of cells positive for Ki-67 [28]. This evidence concerns the gene MKI67 and lung neuroendocrine neoplasm.