Search

Peroxisome proliferator-activated receptor gamma (PPAR-γ) modifies many cellular processes that contribute to atherosclerosis. The increased concentrations of osteoprotegerin (OPG) are related with coronary artery disease, calcification in vascular tissue, advanced atherosclerosis, and diabetic complications has been informed. The aim of our study was to define the relation among PPAR-γ Pro12Ala and, OPG and PPAR-γ in Peripheral Vascular Disease (PVD) and hypertension (HT). Also, it was aim to investigate the relationship between flow-mediated dilatation (FMD) in HT and ankle brachial index (ABI) in PVD in terms of endothelial dysfunction (ED).

Plant-derived bioactive substances have demonstrated significant qualities that suggest they may be crucial in preventing various chronic diseases. Flavonoids, which include apigenin, are the biggest group of polyphenols. In our study, we aimed to obtain the methanol-chloroform (1:1) extract from the aerial parts of Nepeta baytopii Hedge & Lamond and purify the apigenin using bioactivity-guided isolation to separate the active fraction. The current in vitro study provides updated knowledge on apigenin regarding its previously unresearched DNA protection activity and enzyme inhibition, enzyme inhibition kinetics, and enzyme-apigenin interactions. In this context, these studies will be the first and will contribute to the literature. Apigenin had high urease (IC 50 -5.00 ± 0.00 µM), butyrlcholinesterase (BChE:IC 50 -10.48 ± 0.00 µM), and tyrosinase (IC 50 -177.82 ± 14.40 µM) inhibition activities, while inhibition binding constants were high in urease (K i -0.05 mM), tyrosinase (K i -0.06 mM), and carbonic anhydrase (K i -0.08 mM). The binding affinities and constants of the interaction were also ascertained to be high for BChE (-9.50 kcal/mol, and K i -0.11 µM), and tyrosinase (-8.80 kcal/mol, and K i , 0.62 µM) with apigenin. In summary, apigenin can be used as an inhibitor for five enzymes. These results will give priority to further studies. Apigenin showed high DNA protection activity with a Form I value of 67.37%. These data demonstrated that the interaction formed by BChE-apigenin gave the best results regarding enzyme inhibition and enzyme-molecule interaction. The stability of this complex was evaluated using molecular dynamics modeling.

Background: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among less-experienced readers., Objectives: To assess the feasibility of deep learning (DL) for the automated assessment of image quality in bi-parametric MRI scans and compare its performance to that of less-experienced readers., Methods: We used bi-parametric prostate MRI scans from the PI-CAI dataset in this study. A 3-point Likert scale, consisting of poor, moderate, and excellent, was utilized for assessing image quality. Three expert readers established the ground-truth labels for the development (500) and testing sets (100). We trained a 3D DL model on the development set using probabilistic prostate masks and an ordinal loss function. Four less-experienced readers scored the testing set for performance comparison., Results: The kappa scores between the DL model and the expert consensus for T2W images and ADC maps were 0.42 and 0.61, representing moderate and good levels of agreement. The kappa scores between the less-experienced readers and the expert consensus for T2W images and ADC maps ranged from 0.39 to 0.56 (fair to moderate) and from 0.39 to 0.62 (fair to good)., Conclusions: Deep learning (DL) can offer performance comparable to that of less-experienced readers when assessing image quality in bi-parametric prostate MRI, making it a viable option for an automated quality assessment tool. We suggest that DL models trained on more representative datasets, annotated by a larger group of experts, could yield reliable image quality assessment and potentially substitute or assist visual evaluations by human readers., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: The Prostate Imaging Quality (PI-QUAL) score is the first step toward image quality assessment in multi-parametric prostate MRI (mpMRI). Previous studies have demonstrated moderate to excellent inter-rater agreement among expert readers; however, there is a need for studies to assess the inter-reader agreement of PI-QUAL scoring in basic prostate readers., Objectives: To assess the inter-reader agreement of the PI-QUAL score amongst basic prostate readers on multi-center prostate mpMRI., Methods: Five basic prostate readers from different centers assessed the PI-QUAL scores independently using T2-weighted images, diffusion-weighted imaging (DWI) including apparent diffusion coefficient (ADC) maps, and dynamic-contrast-enhanced (DCE) images on mpMRI data obtained from five different centers following Prostate Imaging-Reporting and Data System Version 2.1. The inter-reader agreements amongst radiologists for PI-QUAL were evaluated using weighted Cohen's kappa. Further, the absolute agreements in assessing the diagnostic adequacy of each mpMRI sequence were calculated., Results: A total of 355 men with a median age of 71 years (IQR, 60-78) were enrolled in the study. The pair-wise kappa scores ranged from 0.656 to 0.786 for the PI-QUAL scores, indicating good inter-reader agreements between the readers. The pair-wise absolute agreements ranged from 0.75 to 0.88 for T2W imaging, from 0.74 to 0.83 for the ADC maps, and from 0.77 to 0.86 for DCE images., Conclusions: Basic prostate radiologists from different institutions provided good inter-reader agreements on multi-center data for the PI-QUAL scores., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: The aim of the study is to investigate the role of whole-body magnetic resonance imaging (MRI) in assessing extrapulmonary metastases in primary osteosarcoma staging., Methods: We retrospectively reviewed medical data to identify primary osteosarcoma patients with available preoperative whole-body MRI obtained in the staging or restaging. Histopathology was the reference test for assessing the diagnostic performance, if available. Otherwise, oncology board decisions were used as the reference. In addition, the benefits of whole-body MRI to F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) and bone scintigraphy were investigated., Results: In all, 36 patients with osteosarcoma (24 staging, 12 restaging) with a mean age of 16.36 ± 5.63 years (range, 9-29 years) were included in the study. The median follow-up duration was 26.61 months (interquartile range, 33.3 months). Of 36 patients, 8 had skeletal, 1 had a lymph node, and 1 had a subcutaneous metastasis. Whole-body MRI correctly identified all patients with metastatic disease but incorrectly classified a bone infarct in one patient as a skeletal metastasis, equating a scan-level sensitivity, specificity, accuracy, negative predictive value, and positive predictive value of 100%, 96.3%, 97.3%, 100%, and 90.91%. Whole-body MRI contributed to bone scintigraphy by identifying a skeletal metastasis in one patient and positron emission tomography-computed tomography by ruling out a skeletal metastasis in another., Conclusions: Whole-body MRI could accurately identify extrapulmonary metastases in primary osteosarcoma patients for staging or restaging. In addition, it might contribute to the standard whole-body imaging methods., Competing Interests: The authors declare no conflict of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To explore the image quality and radiation exposure associated with coronary angiography obtained with a third-generation dual-source computed tomography, using body mass index (BMI)- and heart rate (HR)-adapted protocols in real-world patients., Methods: Three scan protocols were implemented with regard to HR: prospective turbo high-pitch spiral, sequential, and retrospective spiral modes. We adapted the reference kilovoltage value according to BMI. Image quality was evaluated using a 4-point scale, and effective dose estimates were calculated using the dose-length product., Results: Among the 896 patients, 417 (46.54%), 433 (48.32%), and 45 (5.02%) were imaged using prospective turbo high-pitch spiral, sequential, and retrospective spiral modes, respectively. The median BMI was 27.3 (25-30.4) kg/m2, and the effective dose was 0.65 mSv (interquartile range, 0.33-1.56 mSv). Only 32 of 896 examinations (3.5%) had poor image quality., Conclusions: Computed tomography angiography with BMI- and HR-tailored protocols offers good image quality with low radiation dose in unselected patients., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)