Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma.

Joyce van Sluis Ellen C de HeerMayke BoellaardMathilde JalvingAdrienne H BrouwersRonald Boellaard

Published in: European journal of nuclear medicine and molecular imaging (2020)

Simple and fast semi-automated FDG PET segmentation workflows yield accurate and reproducible MATV measurements that correlate well with manual segmentation in metastatic melanoma. The most readily applicable and user-friendly SUV40 method allows feasible MATV measurement in prospective multicentre studies required for validation of this potential PET imaging biomarker for clinical use.

Keyphrases

pet imaging
deep learning
convolutional neural network
positron emission tomography
machine learning
clinical trial
study protocol
high resolution
computed tomography
cross sectional
case control
randomized controlled trial
risk assessment
single cell