Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules.

ABSTRACT: Subsolid pulmonary nodules are commonly encountered in lung cancer screening and clinical routine. Compared to other nodule types, subsolid nodules are associated with a higher malignancy probability for which the size and mass of the nodule and solid core are important indicators. However, reliably measuring these characteristics on computed tomography (CT) can be hampered by the presence of vessels encompassed by the nodule, since vessels have similar CT attenuation as solid cores. This can affect treatment decisions and patient management. We present a method based on voxel classification to automatically identify vessels and solid cores in given subsolid nodules on CT. Three experts validated our method on 170 screen-detected subsolid nodules from the Multicentric Italian Lung Disease

SUBMITTER: Charbonnier JP 

PROVIDER: S-EPMC5766558 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature