This article discusses the impact of patient motion on parametric PET imaging. The study involved a 64-year-old male patient with Hodgkin lymphoma who underwent dynamic total-body [18F]FDG PET/CT imaging. The researchers observed misalignments in the lung and lesion positions due to the patient's respiratory motion patterns, which led to inaccurate assessments of the parametric net influx rate. These inaccuracies can compromise the accuracy of tumour metabolic rate evaluation, which has significant clinical implications in the field of oncology. The study highlights the challenge of identifying and correcting artefact sources in parametric image data for clinical application.