A method for evaluation of patient-specific lean body mass from limited-coverage CT images and its application in PERCIST: comparison with predictive equation.
Jingjie ShangZhiqiang TanYong ChengYongjin TangBin GuoJian GongXueying LingLu WangHao XuPublished in: EJNMMI physics (2021)
LBM algorithm-dependent variability in PERCIST 1.0 classification is a notable issue. SUV normalised by LC-based LBM could change PERCIST 1.0 response classifications based on LBM estimated by the James PE, especially for patients with a percentage variation of SULpeak close to the threshold.
Keyphrases
- deep learning
- machine learning
- convolutional neural network
- computed tomography
- simultaneous determination
- contrast enhanced
- dual energy
- optical coherence tomography
- bone mineral density
- healthcare
- magnetic resonance imaging
- affordable care act
- mass spectrometry
- body composition
- liquid chromatography
- clinical evaluation