70 research outputs found
Patient and physician satisfaction in an observational study with methyl aminolevulinate daylight-photodynamic therapy in the treatment of multiple actinic keratoses of the face and scalp in 6 European countries
BACKGROUND
Guidelines recommend treating actinic keratoses (AKs) as they are recognized as precursors of invasive squamous cell carcinoma.
OBJECTIVE
The objective of this study was to collect real-world clinical data on the use of methyl aminolevulinate daylight photodynamic therapy (MAL DL-PDT) for the treatment of face and scalp AK in Europe.
METHODS
A prospective, multicenter, non-interventional study was conducted in six European countries in patients receiving a single treatment of MAL DL-PDT for face and/or scalp AK. Patient-reported outcomes were assessed by patient questionnaires at baseline and at 3 months after treatment, efficacy was assessed at 3 months using a 6-point global improvement scale, and adverse events (AE) were recorded at each visit.
RESULTS
Overall, 325 patients were enrolled from 52 investigational centres, 314 of whom attended the 3-month visit. Most patients had multiple lesions (58.4% had >10 lesions) with lesions mainly located on the scalp (60.0%) and/or forehead (54.2%). AKs were predominantly grade I (39.4%) or grade II (33.2%), and 10.5% of patients had grade III lesions. The proportions of patients and physicians that were overall satisfied to very satisfied with the MAL DL-PDT treatment were 80.4% and 90.3%, respectively. The vast majority of patients (90.0%) would consider using MAL DL-PDT again if needed. Physician-assessed efficacy at 3 months was at least much improved in 83.5% of patients, with 45.9% of patients requiring no retreatment. Related AEs were reported in 15% of patients.
CONCLUSION
Use of MAL DL-PDT for multiple face and/or scalp AKs resulted in high levels of patient and physician satisfaction in clinical practice in Europe, reflecting the good efficacy and high tolerability of this convenient procedure
Comparison of Antioxidant and Antibacterial Properties of Five Plants with Anti-Diabetes and Anti-Cancer Potential
\ua9 2025 by the authors.Polyphenols and flavonoids are bioactive organic compounds extracted from medicinal plants. They exhibit significant antioxidant and antibacterial properties, which help fight several chronic diseases, such as diabetes and cancer. Numerous therapeutic effects and a broad spectrum of biological activities are exhibited by the following five medicinal plants traditionally utilized in medicine for the treatment of diabetes and cancer: Ginger, ephedra alata, ajuga iva, nettle, and graviola (annona muricata). The objective of the present study is to examine ethanolic and aqueous extracts exhaustively obtained from these plants through decoction and maceration using ethanol, with particular emphasis on the content of total polyphenols and flavonoids, and to evaluate their in vitro antioxidant and antibacterial potential. The antibacterial effect was assessed on the strains Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae. The study was complemented by an FTIR analysis of the different extracts. The results indicate that for ginger, graviola, and ajuga iva, as opposed to ephedra alata, maceration appears to be the more efficacious technique compared to decoction. The highest yield (27.465%) was observed in the case of the ethanolic extract of ginger. Ethanolic extracts contain higher concentrations of polyphenols and flavonoids than aqueous extracts. The aqueous extracts of ajuga iva and nettle demonstrate the highest inhibition of Staphylococcus aureus bacteria
Time series of EIT chest images using singular value decomposition and Fourier transform
Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
A new diagnostic indicator of FDG PET scan abnormality, based on age-adjusted t statistics and an automated voxel-based procedure, is presented and validated in a large data set comprising 110 normal controls and 395 patients with probable Alzheimer's disease (AD) that were studied in eight participating centers. The effect of differences in spatial resolution of PET scanners was minimized effectively by filtering and masking. In controls FDG uptake declined significantly with age in anterior cingulate and frontolateral perisylvian cortex. In patients with probable AD decline of FDG uptake in posterior cingulate, temporoparietal, and prefrontal association cortex was related to dementia severity. These effects were clearly distinct from age effects in controls, suggesting that the disease process of AD is not related to normal aging. Women with probable AD had significantly more frontal metabolic impairment than men. The new indicator of metabolic abnormality in AD-related regions provided 93% sensitivity and specificity for distinction of mild to moderate probable AD from normals, and 84% sensitivity at 93% specificity for detection of very mild probable AD (defined by Mini Mental Score 24 or better). All regions related to AD severity were already affected in very mild AD, suggesting that all vulnerable areas are affected to a similar degree already at disease onset. Ventromedial frontal cortex was also abnormal. In conclusion, automated analysis of multicenter FDG PET is feasible, provides insights into AD pathophysiology, and can be used potentially as a sensitive biomarker for early AD diagnosis. (C) 2002 Elsevier Science (USA)
Time series of EIT chest images using singular value decomposition and Fourier transform
The aim of this study is to propose a useful method for exploring regional ventilation and perfusion in the chest. The paper describes two methods based on singular value decomposition (SVD) and Fourier transform (FT) respectively. This work shows that power spectral density (PSD) and phase images (derived from the Fourier transform) are easier to interpret and more useful tools for exploiting in vivo EIT data in healthy volunteers in order to explore the cardiovascular and respiratory system
Efficient principal component analysis for multivariate 3D voxel-based mapping of brain functional imaging data sets as applied to FDG-PET and normal aging
Copyright 2003 WILEY-LISS, DIV JOHN WILEY & SONS IN
Power System Topology Proposal of a High-Altitude Pseudo-Satellite: Sizing Method, Power Budget Modeling and Efficient Power Control
The State of Stress in North Africa - A Conceptual Model Based on Borehole Image Data from Algerian Oil Wells
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