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Purpose: To evaluate the diagnostic performance of the quantitative parameters derived from diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI in differentiating lacrimal gland pleomorphic adenomas (LGPAs) from lacrimal gland malignant epithelial tumors (LGMETs). Methods: Seventy-seven cases with LG epithelial tumors confirmed by histopathology (47 LGPAs and 30 LGMETs) underwent DWI and DCE-MRI. The quantitative parameters including the apparent diffusion coefficient (ADC), the volume transfer constant (Ktrans), the efflux rate constant from the extravascular extracellular space (EES) to blood plasma (Kep), and the extravascular extracellular volume fraction (Ve) were used to differentiate LGPAs from LGMETs. Independent-samples t test was conducted to compare these parameters. The diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Compared with LGPAs, LGMETs had significantly lower ADC value (1.090 ± 0.169mm2/s) (P < 0.001), higher Ktrans value (0.892 ± 0.517/min) (P = 0.001), and Kep value (1.300 ± 1.131/min) (P = 0.002). ADC as a diagnostic index showed a better diagnostic efficacy in predicting malignant tumors (AUC 0.914, sensitivity 90.0%, specificity 85.1%, and accuracy 87.0%) than Ktrans and Kep alone. The combination of ADC and Ktrans presented the optimal diagnostic performance for the differentiation (AUC 0.938, sensitivity 93.3%, specificity 87.2%, accuracy 89.6%). Conclusion: The quantitative parameters including ADC, Ktrans, and Kep derived from DWI and DCE-MRI might be potential imaging biomarkers in differentiating LGPAs from LGMETs. The combination of ADC and Ktrans is superior to other quantitative parameters in distinguishing LGPAs from LGMETs. [ABSTRACT FROM AUTHOR]

Background: Psychological distress is highly prevalent among migraineurs during public health emergencies. The coronavirus disease 2019 (nCOV-2019) has created mass panic in China due to its highly contagious by contact and aerosols and lack of effective treatment. However, the emotion status of migraineurs stayed unclear during the nCOV-2019 outbreak. Objective: To understand psychological distress of migraineurs by comparing with common population and identify potential high-risk factors of severe psychological distress among migraine patients. Method: We enrolled the migraineurs treated at the department of Neurology of West China Hospital and healthy controls with age- and sex-matched to migraineurs. Data on clinicodemographics and psychological distress in the month of February 2020 (during in the nCOV-2019 outbreak in China) were collected. We used the Kessler 6-item (K-6) scale to assess psychological distress. Potential risk factors of severe psychological distress were identified using univariate and multivariate logistic regression. Results: The 144 migraineurs and 150 controls were included in the study. Migraineurs showed significantly higher K-6 scores than controls (P < 0.001). Migraine attack frequency in previous 30 days and time spent paying attention to outbreak showed significant in multivariate logistic regression with respective odds ratios of 2.225 (95%CI 1.361–3.628, P = 0.001) and 1.589 (95% 1.117–2.26, P = 0.01). Conclusion: During public health outbreaks, healthcare professionals should focus not only on controlling and reducing migraine attack but also on mental health of migraineurs, especially those with high frequency migraine attack. [ABSTRACT FROM AUTHOR]