Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas.

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 (CANAR...

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Main Authors: Erica C Nakajima, Michael P Frankland, Tucker F Johnson, Sanja L Antic, Heidi Chen, Sheau-Chiann Chen, Ronald A Karwoski, Ronald Walker, Bennett A Landman, Ryan D Clay, Brian J Bartholmai, Srinivasan Rajagopalan, Tobias Peikert, Pierre P Massion, Fabien Maldonado
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5983856?pdf=render