Adding automated decision-tree models to multiparametric MRI for parotid tumours improves clinical performance.

Matthieu Graber,Farah Cadour, Ahmed Ali El Ahmadi, Idir Khati, Jean Del Grande,Christophe Chagnaud,Nicolas Fakhry,Maxime Guye,Arthur Varoquaux

European journal of radiology（2023）

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摘要

The addition of decision tree prediction models based on multiparametric sequences improves the non-invasive diagnostic performance of parotid gland tumours. ADC and extracellular-extravascular space coefficient are the two best parameters for decision making.

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关键词

Classification and regression tree,Decision-tree model,Diffusion magnetic resonance imaging,Dynamic contrast-enhancement,Multiparametric magnetic resonance imaging,Parotid neoplasms

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