Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques.
Elisabetta Maria AbenavoliMatteo BarbettiFlavia LinguantiFrancesco MungaiLuca NassiBenedetta PucciniIlaria RomanoBenedetta SordiRaffaella SantiAlessandro PasseriRoberto SciagràCinzia TalamontiAngelina CistaroAlessandro Maria VannucchiValentina BertiPublished in: Cancers (2023)
Our results support the value of metabolic heterogeneity as an imaging biomarker, and the use of radiomic features for early characterization of mediastinal bulky lymphoma.
Keyphrases
- machine learning
- lymph node
- pet ct
- positron emission tomography
- pet imaging
- ultrasound guided
- high resolution
- computed tomography
- diffuse large b cell lymphoma
- single cell
- big data
- magnetic resonance imaging
- artificial intelligence
- lymph node metastasis
- magnetic resonance
- contrast enhanced
- mass spectrometry
- fluorescence imaging