European journal of nuclear medicine and molecular imaging
Artificial intelligence for TNM staging in NSCLC: a critical appraisal of segmentation utility in [1⁸F]FDG PET/CT.
Maurice M Heimer, Jakob Dexl, Johanna Ta, Ricarda Ebner, Felix L Herr, Leon Orasanin, Katharina Jeblick, Lisa C Adams, Lalith K Shiyam Sundar, Amanda Tufman, Rudolf A Werner, Gabriel Sheikh, Jens Ricke, Michael Ingrisch, Matthias P Fabritius
Published: 202510.1007/s00259-025-07677-2
Abstract
PURPOSE: This study aims to investigate whether a diagnostic AI model can effectively support lesion detection and staging in non-small cell lung cancer (NSCLC) [1⁸F]FDG PET/CT studies, focusing on the distinction between technical segmentation accur…
Preview only. Read the full abstract at the source