@article{JTD20380,
author = {Nicolas Girard},
title = {GGO and minimally invasive adenocarcinomas: how to deal with?},
journal = {Journal of Thoracic Disease},
volume = {10},
number = {Suppl 9},
year = {2018},
keywords = {},
abstract = {In this issue of the Journal, Mai et al. report on the development of a model that predicts the malignancy and invasiveness of ground-glass nodules (GGNs) based on CT-scan features (1). Similar to previously reported studies, the proposed model showed random forests could achieve 95% and 83% accuracy to predict malignancy and invasiveness, respectively.},
issn = {2077-6624}, url = {https://jtd.amegroups.org/article/view/20380}
}