Histogram Analysis Comparison of Monoexponential, Advanced Diffusion‐Weighted Imaging, and Dynamic Contrast‐Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors
Autor: | Yong'ai Li, Haiming Li, Jinwei Qiang, Yang Song, Jing Lu, Mengge He, Shaofeng Duan |
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Rok vydání: | 2020 |
Předmět: |
Population
Contrast Media 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Humans Effective diffusion coefficient Radiology Nuclear Medicine and imaging education Diffusion Kurtosis Imaging Intravoxel incoherent motion Retrospective Studies Mathematics Rank correlation Ovarian Neoplasms education.field_of_study Receiver operating characteristic business.industry Reproducibility of Results Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Dynamic contrast-enhanced MRI Quality of Life Female Nuclear medicine business Diffusion MRI |
Zdroj: | Journal of Magnetic Resonance Imaging. 52:257-268 |
ISSN: | 1522-2586 1053-1807 |
Popis: | BACKGROUND The accurate preoperative differentiation between borderline and malignant epithelial ovarian tumors (BEOTs vs. MEOTs) is crucial for determining the proper surgical strategy and improving the patient's postoperative quality of life. Several diffusion and perfusion MRI technologies are valuable for the differentiation; however, which is the best remains unclear. PURPOSE To compare the whole solid-tumor volume histogram analysis of diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), and dynamic contrast-enhanced MRI (DCE-MRI) in the differentiation of BEOTs vs. MEOTs and to identify the correlations between the perfusion parameters from IVIM and DCE-MRI. STUDY TYPE Retrospective. POPULATION Twenty patients with BEOTs and 42 patients with MEOTs. FIELD STRENGTH/SEQUENCE 1.5T/DWI, DKI, and IVIM models fitting from 13 different b factors and 40 phases DCE-MRI. ASSESSMENT Histogram metrics were derived from the apparent diffusion coefficient (ADC), diffusion kurtosis (K), diffusion coefficient (Dk), pure diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), volume transfer constant (Ktrans ), rate constant (kep ), and extravascular extracellular volume fraction (ve ). STATISTICAL TESTS The Mann-Whitney U-test and receiver operating characteristic curve were used to determine the best histogram metrics and parameters. Multivariate logistic regression analysis was used to determine the best combined model for each two from the four technologies. Spearman's rank correlation was used to analyze the correlations between the IVIM and DCE-MRI parameters. RESULTS ADC, D, Dk, and D* were significantly higher in BEOTs than in MEOTs (P |
Databáze: | OpenAIRE |
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