Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population

Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population

Abstract Background [18F] FDG PET-CT has an important role in the initial staging of lung cancer; however, accurate differentiation between activity in malignant and benign intrathoracic lymph nodes on PET-CT scans can be challenging. The purpose of the current study was to investigate the effect of...

Full description

Bibliographic Details
Main Authors: Sara S. A. Laros, Dennis Dieckens, Stephan P. Blazis, Johannes A. van der Heide
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:EJNMMI Physics
Subjects:
Lung cancer
Intrathoracic lymph nodes
Machine learning
Radiomics
PET-CT
Online Access:https://doi.org/10.1186/s40658-022-00494-8

Internet

https://doi.org/10.1186/s40658-022-00494-8

Similar Items