FDG-PET/CT for lung cancer: phantom quality-control for respiratory motion compensation protocols, AI-algorithm for tumor segmentation and delta-radiomic model for recurrence prediction

M. Carles,Tobias Fechter,Gianluca Radicioni, A. Martínez-Movilla,Eleni Gkika,Dimos Baltas,Michael Mix, L. Martí-Bonmatí

Nuklearmedizin-nuclear Medicine（2023）

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摘要

Ziel/Aim The evaluation of lung tumors with PET/CT imaging presents challenges due to respiratory movement. Respiratory motion compensation (4D) imaging protocols could lead to an improvement on the image quality. The aim of this study is to provide open-source tools to optimize the implementation of FDG-PET in lung cancer and to facilitate the evaluation of its impact in clinical practice.

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关键词

lung cancer,respiratory motion compensation protocols,tumor segmentation,fdg-pet/ct fdg-pet/ct,quality-control,ai-algorithm,delta-radiomic

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