Application of Artificial Neural Network to Preoperative (18)F-FDG PET/CT for Predicting Pathological Nodal Involvement in Non-small-cell Lung Cancer Patients

Purpose: To evaluate the performance of artificial neural networks (aNN) applied to preoperative (18)F-FDG PET/CT for predicting nodal involvement in non-small-cell lung cancer (NSCLC) patients. Methods: We retrospectively analyzed data from 540 clinically resectable NSCLC patients (333 M; 67.4 ± 9...

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Detalles Bibliográficos
Autores principales: Taralli, Silvia, Scolozzi, Valentina, Boldrini, Luca, Lenkowicz, Jacopo, Pelliccioni, Armando, Lorusso, Margherita, Attieh, Ola, Ricciardi, Sara, Carleo, Francesco, Cardillo, Giuseppe, Calcagni, Maria Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100035/
https://www.ncbi.nlm.nih.gov/pubmed/33968968
http://dx.doi.org/10.3389/fmed.2021.664529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100035/
https://www.ncbi.nlm.nih.gov/pubmed/33968968
http://dx.doi.org/10.3389/fmed.2021.664529

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