{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(6)"],"submitter":["Xiong Z"],"pubmed_abstract":["<h4>Purpose</h4>To explore the value of radiomics in the identification of lung adenocarcinomas with predominant lepidic growth in pure ground-glass nodules (pGGNs) larger than 10 mm.<h4>Methods</h4>We retrospectively analyzed CT images of 204 patients with large pGGNs (≥ 10 mm) pathologically diagnosed as minimally invasive adenocarcinomas (MIAs), lepidic predominant adenocarcinomas (LPAs), and non-lepidic predominant adenocarcinomas (NLPAs). All pGGNs in the two groups (MIA/LPA and NLPA) were randomly divided into training and test cohorts. Forty-seven patients from another center formed the external validation cohort. Baseline features, including clinical data and CT morphological and quantitative parameters, were collected to establish a baseline model. The radiomics model was built wi"],"journal":["PloS one"],"pagination":["e0269356"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9231804"],"repository":["biostudies-literature"],"pubmed_title":["Radiomics for identifying lung adenocarcinomas with predominant lepidic growth manifesting as large pure ground-glass nodules on CT images."],"pmcid":["PMC9231804"],"pubmed_authors":["Jiang Y","Li G","Xiong Z","Li Z","Zhang J","Guo Y","Tian D","Qin D"],"additional_accession":[]},"is_claimable":false,"name":"Radiomics for identifying lung adenocarcinomas with predominant lepidic growth manifesting as large pure ground-glass nodules on CT images.","description":"<h4>Purpose</h4>To explore the value of radiomics in the identification of lung adenocarcinomas with predominant lepidic growth in pure ground-glass nodules (pGGNs) larger than 10 mm.<h4>Methods</h4>We retrospectively analyzed CT images of 204 patients with large pGGNs (≥ 10 mm) pathologically diagnosed as minimally invasive adenocarcinomas (MIAs), lepidic predominant adenocarcinomas (LPAs), and non-lepidic predominant adenocarcinomas (NLPAs). All pGGNs in the two groups (MIA/LPA and NLPA) were randomly divided into training and test cohorts. Forty-seven patients from another center formed the external validation cohort. Baseline features, including clinical data and CT morphological and quantitative parameters, were collected to establish a baseline model. The radiomics model was built wi","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-05-18T12:47:09.85Z","creation":"2025-05-18T12:47:09.85Z"},"accession":"S-EPMC9231804","cross_references":{"pubmed":["35749350"],"doi":["10.1371/journal.pone.0269356"]}}