@article{6fc77084317c47078d3130426d0f2bfb,
title = "A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma",
abstract = "It is essential to identify the subsolid nodules subtype preoperatively to select the optimal treatment algorithm. We developed and validated an imaging reporting system using a classification and regression tree model that based on computed tomography imaging characteristics (291 cases in training group, 146 cases in testing group). The model showed high sensitivity and accuracy of classification. Our model can help clinicians to make follow-up recommendations or decisions for surgery for clinical patients with a subsolid nodule.",
keywords = "Decision trees, Diagnosis, Lung, Solitary pulmonary nodule, X-ray computed tomography, GROUND-GLASS OPACITY, MINIMALLY INVASIVE ADENOCARCINOMA, DECISION TREE, LUNG, CT, CLASSIFICATION, DIAGNOSIS, RESECTION, SECTION, CANCER",
author = "Xiaonan Cui and Heuvelmans, {Marjolein A} and Shuxuan Fan and Daiwei Han and Sunyi Zheng and Yihui Du and Yingru Zhao and Grigory Sidorenkov and Groen, {Harry J M} and Dorrius, {Monique D} and Matthijs Oudkerk and {de Bock}, {Geertruida H} and Rozemarijn Vliegenthart and Zhaoxiang Ye",
note = "Copyright {\textcopyright} 2020 The Author(s). Published by Elsevier Inc. All rights reserved.",
year = "2020",
month = jul,
doi = "10.1016/j.cllc.2020.01.014",
language = "English",
volume = "21",
pages = "314--+",
journal = "Clinical lung cancer",
issn = "1525-7304",
publisher = "CIG MEDIA GROUP, LP",
number = "4",
}