Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.
Alessa HeringMax WestphalAnnika GerkenHaidara AlmansourMichael MaurerBenjamin GeislerTemke KohlbrandtThomas EigentlerTeresa AmaralNikolas LessmannSergios GatidisHorst HahnKonstantin NikolaouAhmed OthmanJan MoltzFelix PeisenPublished in: International journal of computer assisted radiology and surgery (2024)
The findings of this study support the use of AI-assisted registration and volumetric segmentation for lymph node and soft tissue metastases in follow-up CT scans. The AI-assisted workflow achieved significant time savings, similar segmentation quality, and reduced inter-reader variability compared to manual segmentation.