Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
Eirini Polymeri, Henrik Kjölhede, Olof Enqvist, Johannes Ulén, Mads Hvid Poulsen, Jane Angel Simonsen, Pablo Borrelli, Elin Trägårdh, Åse A. Johnsson, Poul Flemming Høilund‐Carlsen, Lars Edenbrandt
Abstract
OBJECTIVE: , representing lesion uptake in a relatively small amount of tissue. Our hypothesis is that measurements of total volume and lesion uptake of the entire tumour would better reflect the disease`s activity with prognostic significance, compared with conventional measurements. METHODS: were obtained automatically. Associations between these measurements, age, PSA, Gleason score and prostate cancer-specific survival were studied, using a Cox proportional-hazards regression model. RESULTS: = 0.8) were not. CONCLUSION: and Gleason scores were not. The AI-based approach appears well-suited for clinically relevant patient stratification and monitoring of individual therapy.