Objectives Adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) are
assumed to be indolent lung adenocarcinoma with excellent prognosis. We aim to identify …

Objective To develop and validate models for predicting distant metastases in patients with
solid lung adenocarcinomas using 3D radiomic features, 2D radiomic features, clinical …

Introduction Invasive mucinous lung adenocarcinoma (IMA) has unique radiological findings
and pathological characteristics. IMA is classified into solitary and pneumonic types; …

Background This study aimed at predicting the survival status on non-small cell lung cancer
patients with the phenotypic radiomics features obtained from the CT images. Methods A …

Background To investigate the effect of machine learning methods on predicting the Overall
Survival (OS) for non-small cell lung cancer based on radiomics features analysis. Methods …

Objectives The pathological T descriptor of lung invasive mucinous adenocarcinoma (IMA)
is currently defined according to mucin spread, whereas that of lung non-mucinous …

Aims To evaluate computed tomography (CT) and 18 F-fluorodeoxyglucose-positron
emission tomography/computed tomography (18 F-FDG-PET/CT) findings of invasive non …

Object To evaluate the difference between multiple primary lung adenocarcinoma (MPLA)
and solitary primary lung adenocarcinoma (SPLA) by delta-radiomics based machine …

Background Accurate prediction of occult lymph node metastasis (ONM) is an important
basis for determining whether lymph node (LN) dissection is necessary in clinical stage IA …

Objectives Spread through air spaces (STAS), a new invasive pattern in lung
adenocarcinoma (LUAD), is a risk factor for poor outcome in early-stage LUAD. This study …