83 research outputs found

    [68Ga]Ga-DOTA-FAPI-04 PET/MR in patients with acute myocardial infarction: potential role of predicting left ventricular remodeling.

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    PURPOSE To assess predictive value of 68Ga-labeled fibroblast activation protein inhibitor-04 ([68Ga]Ga-DOTA-FAPI-04) PET/MR for late left ventricular (LV) remodeling in patients with ST-segment elevated myocardial infarction (STEMI). METHODS Twenty-six patients with STEMI were included in the study. [68Ga]Ga-DOTA-FAPI-04 PET/MR was performed at baseline and at average 12 months after STEMI. LV remodeling was defined as >10% increase in LV end-systolic volume (LVESV) from baseline to 12 months. RESULTS The LV remodeling group demonstrated higher [68Ga]Ga-DOTA-FAPI-04 uptake volume (UV) at baseline than the non-LV remodeling group (p < 0.001). [68Ga]Ga-DOTA-FAPI-04 UV at baseline was a significant predictor (OR = 1.048, p = 0.011) for LV remodeling at 12 months after STEMI. Compared to clinical information, MR imaging and cardiac function parameters at baseline, [68Ga]Ga-DOTA-FAPI-04 UV demonstrated better predictive ability (AUC = 0.938, p < 0.001) for late LV remodeling, with sensitivity of 100.0% and specificity of 81.3%. CONCLUSIONS [68Ga]Ga-DOTA-FAPI-04 PET/MR is an effective tool to non-invasively quantify myocardial fibroblasts activation, and baseline [68Ga]Ga-DOTA-FAPI-04 UV may have potential predictive value for late LV remodeling

    Comparison of multivariate models and variable selection algorithms for rapid analysis of the chemical composition of field crops

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    This study evaluates the use of visible and near-infrared spectroscopy for rapid prediction of total carbon, total nitrogen, and total phosphorus concentrations in field crop samples. Two multivariate models (partial least squares regression and support vector machine regression) were compared. In addition, four spectral variable selection algorithms (competitive adaptive reweighted sampling, genetic algorithm, uninformative variable elimination, and variable importance for projection) were applied with support vector machine regression to determine the most accurate predictions. The results showed that support vector machine regression performed better than partial least squares regression for predicting the three chemical compositions. The combination of competitive adaptive reweighted sampling and support vector machine regression outperformed the other models for the predictions of total carbon and total nitrogen with high coefficients of determination of 0.91 and 0.90, respectively. For the determination of total phosphorus, the prediction accuracy of competitive adaptive reweighted sampling was comparable with the best result obtained from genetic algorithm with the coefficients of determination of 0.73 and 0.77, respectively. In conclusion, the support vector machine regression combined with competitive adaptive reweighted sampling has great potential to accurately determine the chemical composition of field crops using the visible and near-infrared spectroscopy

    Raw data of GCMS, Orbitrap MS and FT-ICR MS

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    The Raw data of GCMS, Orbitrap MS and FT-ICR M

    Raw data of GCMS, Orbitrap MS and FT-ICR MS

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    The Raw data of GCMS, Orbitrap MS and FT-ICR M

    Data from: Molecular characterization of aldehydes and ketones in particle phase of mainstream and sidestream cigarette smoke

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    Aldehydes and ketones (AKs) in cigarette smoke are risk to humans and environment. Due to the complexity of itself and the interference of the smoke tar matrix, the aldehydes and ketones in particle phase (AKPs) of mainstream smoke (MSS) and sidestream smoke (SSS) have not been well investigated. In this study, the AKPs of MSS and SSS were derivatized into polar products by reaction with Girard T reagent. The derivatives were isolated rapidly by column chromatography and analysed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Fifteen species of aldehydes and ketones were detected by positive ion electrospray ionization (ESI) FT-ICR MS: O1–6, N1O1–4, N2O1–3 and N3O2–3. The total number of AKPs obtained by ESI FT-ICR MS in MSS and SSS is about 1100 and 970, respectively. After hydrolysis, the original AKPs were obtained and 63 carbonyls were identified and quantified by gas chromatography–mass spectrometry (GCMS). The nitrogen-containing and high-oxygen AKPs were further characterized by Orbitrap mass spectrometry. Structures of compounds with high relative abundance in the mass spectrum were speculated (e.g. a series of degradants of cembrenediol) by comparison with the results of GCMS

    Effect of surgical aortic valvuloplasty for aortic insufficiency using echocardiography one year after surgery in 25 patients

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    Objective: To investigate effect of surgical aortic valvuloplasty(AVP) for aortic insufficiency in patients using transthoracic echocardiography (TTE). Methods: A total of 25 patients underwent AVP surgery for aortic insufficiency(AI) were enrolled, and TTE was performed to evaluate effects of AVP. Cardiac chamber size, left ventricular(LV) systolic and diastolic function, AI grade, systolic transvalvular blood flow velocity and pressure gradient were measured one year after surgery, and results were compared to those before operation. Results: Echocardiographic measurements show that AVP, LV overload was reversed, Left ventricular end-diastolic diameter [(54.4&#x000b1;4.6) mm preoperatively vs ( 50.0&#x000b1;4.9) mm postoperatively, P=0.003), left ventricular end-diastolic volume[(145.7&#x000b1;28.8) mL preoperatively vs (120.4&#x000b1;27.8) mL pos-toperatively, P&lt;0.001), left ventricular end-systolic diameter [34.0(31.0, 38.0) mm preoperatively vs 31.0(29.5, 34.0) mm postoperatively, P&lt;0.001], left ventricular end-systolic volume [47.0(37.5, 63.0) mL preoperatively vs 37.0(32.5, 48.5) mL postoperatively, P=0.005], left ventricular stroke volume [(92.6&#x000b1;18.4) mL preoperatively vs (78.4&#x000b1;17.8) mL postoperatively, P&lt;0.001] were significantly decreased, and the degree of aortic valve regurgitation was also significantly relieved (chi-square value is 21.000, P=0.021). However, there were no significant changes in aortic transvalvular flow velocity and pressure gradient [(1.8&#x000b1;0.4) m/s preoperatively vs (1.7&#x000b1;0.4) m/s postoperatively, P=0.086) and [(13.4&#x000b1;5.2) mmHg preoperatively vs (11.6&#x000b1;5.7) mmHg postoperatively, P=0.152). Postoperative regurgitation score &#x02265;3 points were found in 5 cases. Conclusions: One year after AVP, the rate of moderate regurgitation in these patients is 20%. All AI is signifi-cantly alleviated after AVP, with reversed LV overload and accompanied by favorable LV remodelling, which is consistent with clinical manifestations

    Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy.

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    Assessment and monitoring of soil organic matter (SOM) quality are important for understanding SOM dynamics and developing management practices that will enhance and maintain the productivity of agricultural soils. Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy (350-2500 nm) has received increasing attention over the recent decades as a promising technique for SOM analysis. While heterogeneity of sample sets is one critical factor that complicates the prediction of soil properties from Vis-NIR spectra, a spectral library representing the local soil diversity needs to be constructed. The study area, covering a surface of 927 km2 and located in Yujiang County of Jiangsu Province, is characterized by a hilly area with different soil parent materials (e.g., red sandstone, shale, Quaternary red clay, and river alluvium). In total, 232 topsoil (0-20 cm) samples were collected for SOM analysis and scanned with a Vis-NIR spectrometer in the laboratory. Reflectance data were related to surface SOM content by means of a partial least square regression (PLSR) method and several data pre-processing techniques, such as first and second derivatives with a smoothing filter. The performance of the PLSR model was tested under different combinations of calibration/validation sets (global and local calibrations stratified according to parent materials). The results showed that the models based on the global calibrations can only make approximate predictions for SOM content (RMSE (root mean squared error) = 4.23-4.69 g kg-1; R2 (coefficient of determination) = 0.80-0.84; RPD (ratio of standard deviation to RMSE) = 2.19-2.44; RPIQ (ratio of performance to inter-quartile distance) = 2.88-3.08). Under the local calibrations, the individual PLSR models for each parent material improved SOM predictions (RMSE = 2.55-3.49 g kg-1; R2 = 0.87-0.93; RPD = 2.67-3.12; RPIQ = 3.15-4.02). Among the four different parent materials, the largest R2 and the smallest RMSE were observed for the shale soils, which had the lowest coefficient of variation (CV) values for clay (18.95%), free iron oxides (15.93%), and pH (1.04%). This demonstrates the importance of a practical subsetting strategy for the continued improvement of SOM prediction with Vis-NIR spectroscopy

    Data from: Molecular characterization of aldehydes and ketones in particle phase of mainstream and sidestream cigarette smoke

    No full text
    Aldehydes and ketones (AKs) in cigarette smoke are risk to humans and environment. Due to the complexity of itself and the interference of the smoke tar matrix, the aldehydes and ketones in particle phase (AKPs) of mainstream smoke (MSS) and sidestream smoke (SSS) have not been well investigated. In this study, the AKPs of MSS and SSS were derivatized into polar products by reaction with Girard’s T reagent. The derivatives were isolated rapidly by column chromatography and analyzed by Fourier transform ion transform cyclotron resonance mass spectrometry (FT-ICR MS). Fifteen species of aldehydes and ketones were detected by positive ion electrospray ionization (ESI) FT-ICR MS: O1-6, N1O1-4, N2O1-3 and N3O2-3. The total number of AKPs obtained by ESI FTICR MS in MSS and SSS is about 1100 and 970, respectively. After hydrolysis, the original AKPs were obtained and 63 carbonyls were identified and quantified by gas chromatography-mass spectrometry (GCMS). The Nitrogen-containing and high-oxygen AKPs were further characterized by Orbitrap mass spectrometry. Structures of compounds with high relative abundance in the mass spectrum were speculated (e.g., a series of degradants of cembrenediol) by comparison with the results of GCMS
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