Proliferative index

[5] Automated image alalysis using deep learning-based algorithms has been proposed as a promising tool to assist pathologists and thereby improve reproducibility and accuracy.

Rapidly proliferating cells readily update more radiolabeled Thymidine, which produces darker spots on the autoradiograph film.

The Ki-67 score closely correlates with other proliferation markers, and has been shown to have prognostic and predictive value for many different tumor types.

The expression of PCNA also correlates well with other proliferation markers such as mitotic count, S-phase fraction and Ki-67 staining.

The various methods of characterizing the proliferation index have found roles in both the diagnostic and prognostic evaluation of tumors.

[11] Among solid tumors, the clinical significance of the proliferation index on breast cancer has been extensively studied.

The Ki-67 labelling index has also been found to have prognostic significance where in many clinical practice guidelines, evaluation of Ki-67 in newly diagnosed invasive breast carcinomas is recommended.