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The authors of this retrospective analysis looked at the role that radiomics played when applied to contrast-enhanced computed tomography (CT) in detecting lymph node (LN) metastases in lung cancer patients compared to 18F-fluorodeoxyglucose positron emission tomography (PET)/CT as a reference. The authors determined that radiomics showed good discrimination power, regardless of the modelling technique, in detecting LN metastases in lung cancer patients.

Key points

  • Radiomics applied to contrast-enhanced computed tomography is feasible in detecting lymph node metastases in patients with proven lung cancer.
  • The least absolute shrinkage and selection operator (LASSO) classifier is suitable as a diagnostic tool applied to radiomics in this setting.
  • Radiomics failed to improve clinical benefit as a prescreening tool.

Article: Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning

Authors: Boris Gorodetski, Philipp Hendrik Becker, Alexander Daniel Jacques Baur, Alexander Hartenstein, Julian Manuel Michael Rogasch, Christian Furth, Holger Amthauer, Bernd Hamm, Marcus Makowski & Tobias Penzkofer

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