Cargando…
A multidimensional model incorporating radiomics score and liquid biopsy for the prediction of malignant and benign pulmonary nodules
BACKGROUND: As the lesions in pulmonary nodules (PNs) are small and the clinical manifestations lack specificity, the etiology of PNs is complex, predisposing them to misdiagnoses missed diagnoses. Thus, the diagnosis and treatment of PNs remains challenging and an important clinical problem. METHOD...
Autores principales: | Xu, Lu, Zhou, Jia-Ying, Wang, Li-Le, Yang, Rong-Na, Li, Tian-Xiang, Zhu, Xiao-Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745355/ https://www.ncbi.nlm.nih.gov/pubmed/36523317 http://dx.doi.org/10.21037/tcr-22-1755 |
Ejemplares similares
-
Liquid biopsies to distinguish malignant from benign pulmonary nodules
por: Tao, Rui, et al.
Publicado: (2021) -
Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign
por: Xu, Hang, et al.
Publicado: (2023) -
Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules
por: Shen, Yao, et al.
Publicado: (2020) -
Pulmonary Multiple Nodules: Benign or Malignant?
por: Liu, Jing, et al.
Publicado: (2018) -
Diagnosis of Benign and Malignant Pulmonary Ground-Glass Nodules
Using Computed Tomography Radiomics Parameters
por: liang, Ling, et al.
Publicado: (2022)