An MRI-Based Clinical-Perfusion Model Predicts Pathological Subtypes of Prevascular Mediastinal Tumors
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DOI: 10.3390/diagnostics12040889
Abstract: This study aimed to build machine learning prediction models for predicting pathological subtypes of prevascular mediastinal tumors (PMTs). The candidate predictors were clinical variables and dynamic contrast–enhanced MRI (DCE-MRI)–derived perfusion parameters. The clinical data and… read more here.
Keywords: prevascular mediastinal; pathological subtypes; perfusion; model ... See more keywords