Effect of Chronic Ingestion of Wine on the Glycemic, Lipid and Body Weight Homeostasis in Mice

Brito-Filho, Sebastião Barreto de; Moura, Egberto Gaspar de; Santos, Orlando José dos; Sauaia-Filho, Euler Nicolau; Amorim, Elias; Santana, Ewaldo Éder Carvalho; Barros-Filho, Allan Kardec Dualibe; Santos, Rennan Abud Pinheiro

doi:10.1590/0102-6720201600030005

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Additionally, previous studies have demonstrated that the clinical function outcomes of patients with acute ischemia can be determined by measuring the IC volume [ 26 , 27 ]. Our findings corroborated previous studies [ 28 – 30 ] by showing that the IC volume was significantly smaller in the favorable outcome group.…”

Section: Discussionsupporting

confidence: 92%

MRI whole-lesion texture analysis on ADC maps for the prognostic assessment of ischemic stroke

Zhang

Zhuang

Wu³

et al. 2022

BMC Med Imaging

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Background This study aims is to explore whether it is feasible to use magnetic resonance texture analysis (MRTA) in order to distinguish favorable from unfavorable function outcomes and determine the prognostic factors associated with favorable outcomes of stroke. Methods The retrospective study included 103 consecutive patients who confirmed unilateral anterior circulation subacute ischemic stroke by computed tomography angiography between January 2018 and September 2019. Patients were divided into favorable outcome (modified Rankin scale, mRS ≤ 2) and unfavorable outcome (mRS > 2) groups according to mRS scores at day 90. Two radiologists manually segmented the infarction lesions based on diffusion-weighted imaging and transferred the images to corresponding apparent diffusion coefficient (ADC) maps in order to extract texture features. The prediction models including clinical characteristics and texture features were built using multiple logistic regression. A univariate analysis was conducted to assess the performance of the mean ADC value of the infarction lesion. A Delong’s test was used to compare the predictive performance of models through the receiver operating characteristic curve. Results The mean ADC performance was moderate [AUC = 0.60, 95% confidence interval (CI) 0.49–0.71]. The texture feature model of the ADC map (tADC), contained seven texture features, and presented good prediction performance (AUC = 0.83, 95%CI 0.75–0.91). The energy obtained after wavelet transform, and the kurtosis and skewness obtained after Laplacian of Gaussian transformation were identified as independent prognostic factors for the favorable stroke outcomes. In addition, the combination of the tADC model and clinical characteristics (hypertension, diabetes mellitus, smoking, and atrial fibrillation) exhibited a subtly better performance (AUC = 0.86, 95%CI 0.79–0.93; P > 0.05, Delong’s). Conclusion The models based on MRTA on ADC maps are useful to evaluate the clinical function outcomes in patients with unilateral anterior circulation ischemic stroke. Energy obtained after wavelet transform, kurtosis obtained after Laplacian of Gaussian transform, and skewness obtained after Laplacian of Gaussian transform were identified as independent prognostic factors for favorable stroke outcomes.

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