20.500.12556/RUL-162284 Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis Growing intracranial aneurysms pose a high risk of rupture, making the detection and quantification of the growth crucial for timely treatment strategy adoption. In this paper we propose a computer-assisted approach based on the extraction of IA shapes from associated baseline and follow-up angiographic scans and non-rigid morphing of the two shapes. From the obtained shape deformations we computed four novel features, including differential volume (dV), surface area (dSA), aneurysm-size normalized median deformation path length (dMPL), and integral of cumulative deformation distances (dICDD). An experienced neuroradiologist manually extracted the IA shape models from the baseline and follow-up MRAs and, by utilizing size change and visual assessments, classified each aneurysm into stable with morphology changes, stable or growing. We investigated the classification performance and found that three of the novel and one cross-sectional feature exhibited significantly different mean values (p-value < 0.05 Tukey’s HSD test) between the stable and growing IA groups, while the mean dICDD was significantly different between all the three groups. The cross-sectional features has sensitivity to growing IAs in range 0.05–0.86, while novel features had generally higher sensitivity in range 0.81–0.90, making them promising candidates as surrogate follow-up imaging-based biomarkers for IA growth detection. These findings may offer valuable information for clinical management of patients with IAs based on follow-up imaging. intracranial aneurysms growth monitoring follow-up imaging MRA magnetic resonance angiography intrakranialne anevrizme merjenje rasti kontrolno slikanje MRA magnetno resonančna angiografija true false true Angleški jezik Slovenski jezik Članek v reviji 2024-09-20 10:43:14 2024-09-20 10:43:22 2025-06-30 11:48:48 0000-00-00 00:00:00 2024 0 0 11 str. 14, art. 19609 2024 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 004.93:616.13-007.64:537.635 2045-2322 10.1038/s41598-024-70453-z 208225283 s41598-024-70453-z_(2).pdf s41598-024-70453-z_(2).pdf 1 C54688FEA1A9EAD3F102A2B232DDCEAF d3cf18eea4b4d0e49777d3857af78085f878ca11b9f36fee8e58519f7018ba24 578b3d96-772d-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=191489 https://www.nature.com/articles/s41598-024-70453-z 1 49ac3f30-772c-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=191488 Fakulteta za elektrotehniko 0 0 0