Ontology highlight
ABSTRACT:
SUBMITTER: Nakajima EC
PROVIDER: S-EPMC5983856 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Nakajima Erica C EC Frankland Michael P MP Johnson Tucker F TF Antic Sanja L SL Chen Heidi H Chen Sheau-Chiann SC Karwoski Ronald A RA Walker Ronald R Landman Bennett A BA Clay Ryan D RD Bartholmai Brian J BJ Rajagopalan Srinivasan S Peikert Tobias T Massion Pierre P PP Maldonado Fabien F
PloS one 20180601 6
Lung adenocarcinoma (ADC), the most common lung cancer type, is recognized increasingly as a disease spectrum. To guide individualized patient care, a non-invasive means of distinguishing indolent from aggressive ADC subtypes is needed urgently. Computer-Aided Nodule Assessment and Risk Yield (CANARY) is a novel computed tomography (CT) tool that characterizes early ADCs by detecting nine distinct CT voxel classes, representing a spectrum of lepidic to invasive growth, within an ADC. CANARY char ...[more]