Interestingly, the use of QuPath allowed us to reinterpret the data obtained with the visual evaluation; 24% of the cases visually identified as “negative” showed a digital positivity to P16INK4a of between 3 and 9% of cancer cells. This evidence concerns the gene CDKN2A and cancer.