Tumor morphology evaluation using 3D-morphometric features of renal masses.
Fiev DmitrySirota EvgeniyKozlov VasiliyProskura AlexandraIsmailov KhalilShpot EvgenyChernenkiy MikhailPuzakov KirillTarasov AlexanderDmitry Olegovich KorolevAzilgareeva CamillaVinarov AndreyButnaru DenisGlybochko PetrRapoport LeonidPublished in: Urologia (2024)
The resulting logistic model, based on the analysis of such predictors as gender and form of kidney lesions, demonstrated a large share (87.6%) of correct predictions of the kidney tumor malignancy.
Keyphrases