Tissue optical properties can be determined with optical coherence tomography (OCT) by fitting a model to the OCT signal. Using calibrated samples in the fixed focus geometry, the validity of the single-scattering and multiple-scattering models for both highly scattering and weakly scattering media (scattering coefficients mu(s) ranging from 1.25 to 25.11mm(-1)) has been investigated. The results show that, with a proper correction for the confocal properties of the sample arm, both models are appropriate to extract the scattering coefficients of weakly scattering media. For highly scattering media, the multiple scattering should be taken into account, and the multiple-scattering model can provide higher accuracy. Finally, the scattering properties of in vitro rat liver and in vivo human skin are determined. The results are useful for quantitatively characterizing tissue scattering in biomedical research and clinical diagnosis.
A ZnO-RGO-Au composite with bi-functional behavior was fabricated: it was employed both as a photocatalyst for degrading pollutants (Rhodamine 6G) and a SERS substrate for real-time monitoring of the degradation quantitatively.
BackgroundWe sought to explore the association of variant rs1333049 on chromosome 9p21.3 with coronary artery disease (CAD) and angiographic plaque progression in non-diabetic and type 2 diabetic patients.MethodsGenotyping and quantitative coronary angiography (QCA) were performed in 2046 Chinese Han patients (1012 diabetic cases) undergoing coronary angiography; 430 of them received repeat angiographic studies at 1-year follow-up.ResultsCC genotype at rs1333049 on chromosome 9p21.3 was associated with CAD (unadjusted OR 1.524, p = 0.001 and adjusted OR 1.859, p = 0.005, respectively). However, CC genotype had no magnified association with CAD in diabetic patients (OR 1.275, p = 0.150) compared with non-diabetic counterparts (OR 1.446, p = 0.020) after adjusting for conventional risk factors. During angiographic follow-up, non-diabetic patients (n = 280) had significant decrease in minimal lumen diameter and increase in percent diameter stenosis among the three genotypes (p = 0.005 and p = 0.038, respectively), demonstrating that CC or GC genotype carriers had a more severe plaque progression than GG genotype carriers. In patients with type 2 diabetes (n = 150), although plaque progression was more severe than that in non-diabetic counterparts, no relations existed between plaque progression and genotypes. Rs1333049 was an independent determinant of plaque progression for non-diabetic (OR 3.468, p = 0.004 and OR 4.339, p = 0.002 for GC and CC genotype, respectively) but not for diabetic patients (OR 0.529, p = 0.077 and 0R 0.878, p = 0.644 for GC and CC genotype, respectively).ConclusionsThis study demonstrates a significant association of homozygous CC genotype of rs1333049 on chromosome 9p21.3 with CAD in Chinese Han population. Rs1333049 polymorphism is an independent determinant for coronary plaque progression in non-diabetic but not in type 2 diabetic patients.
BackgroundLeft atrial appendage morphology has been proved to be an important predictor of left atrial thrombus (LAT) and left atrial spontaneous echo contrast (LASEC) and stroke in patients with non-valvular atrial fibrillation (NVAF). However, the relation between left atrial appendage (LAA) lobes and LAT or LASEC is still unknown. The aim of this study is to investigate the correlation between the number of left atrial appendage lobes and LAT/LASEC in patients with NVAF.MethodsThis monocentric cross-sectional study enrolled 472 consecutive patients with non-valvular atrial fibrillation, who had transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE) prior to cardioversion or left atrial appendage closure (LAAC) from July 2009 to August 2015 in department of cardiology of Shanghai Tenth People’s Hospital. Patients who had significant mitral or aortic valve disease, previous cardiac valvular surgery and other complicated cardiac diseases were excluded. Individuals were divided into two groups:the LAT/LASEC group (16.95%), which comprised patients with LAT or LASEC, as confirmed by TEE; and a negative control group (83.05%).Baseline overall group characterization with demographic, clinical, laboratory data and echocardiographic parameters, alongside with information on medication was obtained for all patients. Subgroup analysis with line chart was applied for exploring the association between LAA lobes and LAT/LAESC. Receptor-operating curves (ROC) were used to test the value of LA anteroposterior diameter detected by different echocardiography methods predicting LAT or LASEC. Multivariable logistic regression analysis was used to investigate independent predictors of LAT/LASEC.ResultsAmong 472 patients, 23 (4.87%) had LA/LAA thrombus and 57 (12.1%) had LA spontaneous echo contrast. Compared to the negative group, patients in LAT/LASEC group had higher CHA2DS2-VASc score (3.79 ± 1.75 vs 2.65 ± 1.76, p < 0.001), larger LAD (measured by TTE, 48.1 ± 7.7 vs 44.6 ± 6.5, P < 0.001; measured by TEE, 52.2 ± 6.2 vs 46.7 ± 7.1, P < 0.001), lower left upper pulmonary venous flow velocity (LUPVFV) (0.54 ± 0.17 m/s vs 0.67 ± 0.26 m/s, CI 95% 0.05–0.22, P = 0.003), more left atrial appendage lobes (1.67 ± 0.77 vs 1.25 ± 0.50, p < 0.001). There was a good discriminative capacity for LAD detected by TTE (area under the curve (AUC), 0.67, CI 95% 0.61–0.73, p < 0.001) and LAD detected by TEE (AUC, 0.73, CI 95% 0.67–0.79, p < 0.001). The subgroup analysis based on gender and different LAA lobes yielded similar results (male group: p < 0.001;female group: p = 0.004) that the number of LAA lobes were significantly associated with LA thrombus or SEC. In multivariable logistic regression analysis, both the number of LAA lobes (odds ratio: 2.37; CI 95% 1.37–4.09; p = 0.002) and the persistent AF (odds ratio: 3.57; CI 95% 1.68–7.57; p = 0.001) provided independent and incremental predictive value beyond CHA2DS2-VASc score.ConclusionThe number of LAA lobes is an independent risk factor and has a moderate predictive...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.