Cargando…
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...
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: | |
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 |
Ejemplares similares
-
The Prognostic Value of (18)F-FDG PET Imaging at Staging in Patients with Malignant Pleural Mesothelioma: A Literature Review
por: Taralli, Silvia, et al.
Publicado: (2021) -
The impact of the COVID-19 pandemic on oncological disease extent at FDG PET/CT staging: the ONCOVIPET study
por: Caldarella, Carmelo, et al.
Publicado: (2021) -
PET/CT with Fibroblast Activation Protein Inhibitors in Breast Cancer: Diagnostic and Theranostic Application—A Literature Review
por: Taralli, Silvia, et al.
Publicado: (2023) -
Short 2-[(18)F]Fluoro-2-Deoxy-D-Glucose PET Dynamic Acquisition Protocol to Evaluate the Influx Rate Constant by Regional Patlak Graphical Analysis in Patients With Non-Small-Cell Lung Cancer
por: Indovina, Luca, et al.
Publicado: (2021) -
Malignant Pleural Mesothelioma Nodal Status: Where Are We at?
por: Ricciardi, Sara, et al.
Publicado: (2021)