2026-04-07T14:52:25Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/139062026-01-29T08:36:56Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Pagola, Maria author Urien, Josune author Saenz de Urturi, Eva author Goñi, Alai author De Paula, Belen author 2025 Radiomic features such as fractal dimension and lacunarity have shown promising results in tumor analysis, characterizing the structural complexity and internal heterogeneity of pulmonary nodules in CT images. However, select those providing relevant information without redundancy of the large number of available radiomic variables is necessary. This preliminary study investigates the predictive potential of fractal-dimension and lacunarity for early relapse in patients with pulmonary nodules treated with SBRT. 0167-8140 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=189507 https://hdl.handle.net/20.500.11984/13906 Lung nodules Fractal dimension Lacunarity 2243 Fractal dimension and lacunarity as predictive radiomic features for relapse in pulmonary nodules