Objective: Preoperative differentiation between parotid Warthin’s tumor (WT) and pleomorphic adenoma (PMA) is crucial for treatment decisions. The purpose of this study was to establish and validate an MRI-based radiomics nomogram for preoperative differentiation between WT and PMA. Methods and materials: A total of 127 patients with histological diagnosis of WT or PMA from two clinical centres were enrolled in training set (n = 75; WT = 34, PMA = 41) and external test set (n = 52; WT = 24, PMA = 28). Radiomics features were extracted from axial T1WI and fs-T2WI images. A radiomics signature was constructed, and a radiomics score (Rad-score) was calculated. A clinical factors model was built using demographics and MRI findings. A radiomics nomogram combining the independent clinical factors and Rad-score was constructed. The receiver operating characteristic analysis was used to assess the performance levels of the nomogram, radiomics signature and clinical model. Results: The radiomics nomogram incorporating the age and radiomics signature showed favourable predictive value for differentiating parotid WT from PMA, with AUCs of 0.953 and 0.918 for the training set and test set, respectively. Conclusions: The MRI-based radiomics nomogram had good performance in distinguishing parotid WT from PMA, which could optimize clinical decision-making.
Background
Acute intracranial hypertension (IH) is commonly found in patients with cerebral venous thrombosis (CVT). Some magnetic resonance imaging (MRI) findings that are suggestive of acute IH and are thus important for planning treatment and improving clinical outcomes have been reported; however, the significance of changes in ventricular size in the presence of acute CVT-related IH remains unclear.
Purpose
To investigate changes in ventricular size in patients with CVT-related IH by MRI and to determine whether such changes are predictors of IH in these patients.
Material and Methods
Forty patients with CVT-related IH and 40 age- and sex-matched healthy volunteers who had undergone T1-weighted volumetric MRI were enrolled in this retrospective study and allocated to one of the following three groups: IH pre-treatment group (Day 1); IH post-treatment group (Day 30); and controls. Data concerning the volume of the ventricular system were compared between the groups.
Results
The volumes of the ventricular system in the three groups were 16.10 ± 8.22 cm3, 16.14 ± 8.14 cm3, and 15.10 ± 4.75 cm3, respectively. The volumes of the ventricular system were similar in pre-treatment and post-treatment patients with IH (P = 0.982) and controls (P = 0.446).
Conclusion
The lack of a significant difference in ventricular system volumes between the three study groups suggests that changes in ventricular size are neither a reliable MRI predictor of acute CVT-related IH caused by CVT or a predictor of the short-term prognosis (30 days) of this condition.
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