Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT

Accurate determination of lymph-node (LN) metastases is a prerequisite for high precision radiotherapy. The primary aim is to characterise the performance of PET/CT-based machine-learning classifiers to predict LN-involvement by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-...

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Detalles Bibliográficos
Autores principales: Guberina, Maja, Herrmann, Ken, Pöttgen, Christoph, Guberina, Nika, Hautzel, Hubertus, Gauler, Thomas, Ploenes, Till, Umutlu, Lale, Wetter, Axel, Theegarten, Dirk, Aigner, Clemens, Eberhardt, Wilfried E. E., Metzenmacher, Martin, Wiesweg, Marcel, Schuler, Martin, Karpf-Wissel, Rüdiger, Santiago Garcia, Alina, Darwiche, Kaid, Stuschke, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584941/
https://www.ncbi.nlm.nih.gov/pubmed/36266403
http://dx.doi.org/10.1038/s41598-022-21637-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584941/
https://www.ncbi.nlm.nih.gov/pubmed/36266403
http://dx.doi.org/10.1038/s41598-022-21637-y

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