A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [ 18 F]FDG-PET/CT parameters.

Julian Manuel Michael RogaschLiza MichaelsGeorg L BaumgärtnerNikolaj FrostJens-Carsten RückertJens NeudeckerSebastian OchsenreitherManuela GerholdBernd SchmidtPaul SchneiderHolger AmthauerChristian FurthTobias Penzkofer

Published in: European journal of nuclear medicine and molecular imaging (2023)

F]FDG-PET/CT improved accuracy in mediastinal LN staging compared to established visual assessment criteria. A web application implementing this model was made available.

Keyphrases

lymph node
machine learning
neoadjuvant chemotherapy
sentinel lymph node
artificial intelligence
quality improvement
big data
deep learning
squamous cell carcinoma
ultrasound guided