Cargando…
Invasive Prediction of Ground Glass Nodule Based on Clinical Characteristics and Radiomics Feature
Objective: To explore the diagnostic value of CT radiographic images and radiomics features for invasive classification of lung adenocarcinoma manifesting as ground-glass nodules (GGNs) in computer tomography (CT). Methods: A total of 312 GGNs were enrolled in this retrospective study. All GGNs were...
Autores principales: | Zheng, Hui, Zhang, Hanfei, Wang, Shan, Xiao, Feng, Liao, Meiyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770987/ https://www.ncbi.nlm.nih.gov/pubmed/35069686 http://dx.doi.org/10.3389/fgene.2021.783391 |
Ejemplares similares
-
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
por: Sun, Yingli, et al.
Publicado: (2020) -
The Growth Trend Predictions in Pulmonary Ground Glass Nodules Based on Radiomic CT Features
por: Gao, Chen, et al.
Publicado: (2020) -
Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas
por: Feng, Hui, et al.
Publicado: (2023) -
Comparison of CT-Guided Core Needle Biopsy in Pulmonary Ground-Glass and Solid Nodules Based on Propensity Score Matching Analysis
por: An, Wenting, et al.
Publicado: (2022) -
Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules
por: Zheng, Yuting, et al.
Publicado: (2023)