Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET).
Julian Manuel Michael RogaschKuangyu ShiDavid KerstingRobert SeifertPublished in: Nuklearmedizin. Nuclear medicine (2023)
Among the articles investigated, methodological weaknesses have been identified, and the degree of compliance with recommendations on methodological quality and reporting shows potential for improvement. Better adherence to established guidelines could increase the clinical significance of radiomics and machine learning for PET-based outcome prediction and finally lead to the widespread use in routine clinical practice.
Keyphrases
- positron emission tomography
- clinical practice
- machine learning
- computed tomography
- pet ct
- pet imaging
- lymph node metastasis
- contrast enhanced
- artificial intelligence
- big data
- magnetic resonance imaging
- deep learning
- type diabetes
- emergency department
- magnetic resonance
- skeletal muscle
- risk assessment
- high resolution
- climate change
- weight loss