Open AccessMRI Predictors of Malignant Transformation in Patients with Inverted Papilloma: A Decision Tree Analysis Using Conventional Imaging Features and Histogram Analysis of Apparent Diffusion Coefficients
Author(s) -
Chong Hyun Suh,
Jeong Hyun Lee,
MyungSub Chung,
Xinyun Xu,
Yu Sub Sung,
Sae Rom Chung,
Young Jun Choi,
Jung Hwan Baek
Publication year - 2021
Publication title -
korean journal of radiology/korean journal of radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.08
H-Index - 57
eISSN - 2005-8330
pISSN - 1229-6929
DOI - 10.3348/kjr.2020.0576
Subject(s) - medicine , inverted papilloma , histogram , radiology , decision tree , diffusion mri , transformation (genetics) , malignant transformation , papilloma , tree (set theory) , nuclear medicine , artificial intelligence , pattern recognition (psychology) , magnetic resonance imaging , pathology , image (mathematics) , combinatorics , computer science , biochemistry , chemistry , mathematics , gene
Preoperative differentiation between inverted papilloma (IP) and its malignant transformation to squamous cell carcinoma (IP-SCC) is critical for patient management. We aimed to determine the diagnostic accuracy of conventional imaging features and histogram parameters obtained from whole tumor apparent diffusion coefficient (ADC) values to predict IP-SCC in patients with IP, using decision tree analysis.