Cargando…
Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study
OBJECTIVES: Develop a CT-based radiomics model and combine it with frozen section (FS) and clinical data to distinguish invasive adenocarcinomas (IA) from preinvasive lesions/minimally invasive adenocarcinomas (PM). METHODS: This multicenter study cohort of 623 lung adenocarcinomas was split into tr...
Autores principales: | Wu, Guangyao, Woodruff, Henry C., Sanduleanu, Sebastian, Refaee, Turkey, Jochems, Arthur, Leijenaar, Ralph, Gietema, Hester, Shen, Jing, Wang, Rui, Xiong, Jingtong, Bian, Jie, Wu, Jianlin, Lambin, Philippe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160197/ https://www.ncbi.nlm.nih.gov/pubmed/32006165 http://dx.doi.org/10.1007/s00330-019-06597-8 |
Ejemplares similares
-
Structural and functional radiomics for lung cancer
por: Wu, Guangyao, et al.
Publicado: (2021) -
Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning
por: Refaee, Turkey, et al.
Publicado: (2022) -
A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis
por: Refaee, Turkey, et al.
Publicado: (2022) -
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
por: Sun, Yingli, et al.
Publicado: (2020) -
Deep learning in fracture detection: a narrative review
por: Kalmet, Pishtiwan H S, et al.
Publicado: (2020)