Brogaardritchie2046

OBJECTIVE. This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. MATERIALS AND METHODS. The study enrolled 80 patients with pathologically confirmed OSCC (18 WD OSCCs and 62 moderately or poorly differentiated OSCCs) who underwent pretreatment MRI. ROIs were manually delineated to cover the entire tumor to the greatest possible extent on T2-weighted imaging and contrast-enhanced T1-weighted imaging, and 1118 texture features were extracted. Dimension reduction was performed using reproducibility analysis by two radiologists, collinearity analysis, and feature selection with a minimum-redundancy maximum-relevance algorithm. Models were created using random forest (RF), artificial neural network, and logistic regression (LR) alone and with a synthetic minority oversampling technique (SMOTE). Classifier performance was assessed using 10-fold cross-validation. RESULTS. Dimension reduction steps yielded eight texture features, including four features from each sequence. None of the clinical variables was selected. Among the eight texture features, five and seven texture features showed significant differences between the two groups in the actual data and balanced data, respectively (p less then 0.05). All classifiers with SMOTE achieved better performances than those alone. The RF classifier with SMOTE achieved the best performance with an area under the ROC curve of 0.936 and accuracy of 86.3%. CONCLUSION. ML-based MRI texture analysis provides a promising noninvasive approach for predicting the histologic grade of OSCC.OBJECTIVE. The purpose of this meta-analysis was to assess the diagnostic performance of CT and MRI in detecting mycotic aneurysm, an infection of high mortality and morbidity. MATERIALS AND METHODS. The PubMed, Cochrane, and Embase databases were searched from January 1, 1980, through June 30, 2019, for diagnostic studies assessing both sensitivity and specificity of CT or MRI for detecting mycotic aneurysms, and studies were pooled by use of random-effects models and freely available meta-analysis software. RESULTS. Among 1507 articles searched, 15 studies of CT (13 studies) or MRI (five studies) for aortic and cerebral mycotic aneurysms were included. The studies evaluated 622 imaging examinations for 249 mycotic aneurysms. The pooled sensitivities and specificities of CT for all mycotic aneurysms were 0.82 (95% CI, 0.77-0.87) and 0.93 (95% CI, 0.89-0.95) and of MRI were 0.79 (95% CI, 0.61-0.91) and 0.89 (95% CI, 0.81-0.95). CT and MRI had pooled sensitivities and specificities of 0.84 (95% CI, 0.78-0.89) and 0.92 (95% CI, 0.89-0.95) for aortic and 0.71 (95% CI, 0.54-0.85) and 0.90 (95% CI, 0.83-0.95) for cerebral mycotic aneurysms. Heterogeneity and publication bias were observed in some pooled analyses. CONCLUSION. CT and MRI had moderately high sensitivities and specificities for mycotic aneurysms. Study heterogeneity, publication bias, and modest sample size were important limitations, warranting larger and higher-quality studies.

The Cognitive Reserve (CR) describes the brain's ability to actively cope with neurological damage, enabling the maintenance of premorbid cognitive functioning through compensatory processes. The most common way to estimate CR is through formal education, the intelligence quotient (IQ) and participation in cognitive stimulating activities. In the absence of IQ data, the Irregular Word Reading Test (TeLPI) allows you to estimate the premorbid intelligence.

The comparison of the TeLPI results between two times of assessment (baseline and re-assessment) with an interval time (IT) of 9 years. To analyze of the stability of their results as a valid dimension for the CR estimation.

The TeLPI presented temporal stability of its results between the two evaluation times (IT = 9.07 ± 1.02). The sample, composed by 63 cognitively healthy participants, showed no differences for the estimated Full Scale IQ (

(62) = 0.49,

 = .63), for the Estimated Verbal IQ (

(62) = 0.71,

 = .48) and for the estimated Performance IQ (

(62) = 0.64,

 = .52). Likewise, no differences were found in the number of TeLPI errors at the two assessment times (

(62) = -0.61,

 = .54).

Considering that CR is characterized as being relatively stable, the TeLPI should be included in its assessment, as an indicator with proved stability over a long period of time, on the physiological aging spectrum.

Considering that CR is characterized as being relatively stable, the TeLPI should be included in its assessment, as an indicator with proved stability over a long period of time, on the physiological aging spectrum.The term dementia-friendly hospital is increasingly used to describe a variety of initiatives and strategies that are implemented to meet the challenges faced by patients with dementia during hospitalization. However, no definition of the dementia-friendly hospital currently exists. This qualitative focus group study aimed to describe stakeholders' perspectives of the dementia-friendly hospital. Four stakeholder groups were included people with dementia, relatives, hospital staff, and representatives from the Danish Alzheimer Association. The thematic analysis suggests that a person-centered approach is a key feature. This approach is described as a continuously reflexive awareness of how to see the person behind the dementia diagnosis. We discuss possible revision of the current dementia discourse and the implications of the findings for future practice and research.Epiphytic Tillandsia species are uniquely suitable for the study of foliar uptake of atmospheric trace metals (ATM) because these plants can only rely on their leaves for this purpose. Therefore, we analyzed the uptake and transport of different metals (Fe, Al, Zn, Mn, Ba, Ti, Cu, Ni, Cr, Sn, Pb, Co, As, and Se) bounded on atmospheric particulate matters (APM) in Tillandsia brachycaulos Schltdl. The results showed that the metal contents inside leaves significantly (p  less then  .05) increased after APM exposure. There was a significant (p  less then  .05) positive correlation between the content of 14 trace metals accumulated on the leaf surface and inside the leaf, which indicated that APM is the main source of ATM uptake. The subcellular analysis showed that the Pb, Cu, Ni, Zn, and Cr absorbed by T. brachycaulos were stored primarily in the cell walls and organelles. After the removal of foliar trichomes of T. click here brachycaulos, the metal contents on the leaf surface decreased, whereas the contents of most metals inside the leaf increased.