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Prediction of subsolid pulmonary nodule growth rate using radiomics
BACKGROUND: Pulmonary nodule growth rate assessment is critical in the management of subsolid pulmonary nodules (SSNs) during clinical follow-up. The present study aimed to develop a model to predict the growth rate of SSNs. METHODS: A total of 273 growing SSNs with clinical information and 857 comp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629176/ https://www.ncbi.nlm.nih.gov/pubmed/37936095 http://dx.doi.org/10.1186/s12880-023-01143-x |