ABSTRACT
Objective: To explore the difference of MRI markers of small cerebral vascular disease in middle-aged and elderly patients with hypertension and non-hypertension. Methods: A cross-sectional study. The clinical data of 316 patients who underwent head MRI with susceptibility weighted imaging scans at the Affiliated Zhongda Hospital of Southeast University from November 2013 to August 2022 were retrospectively analyzed, including 190 males and 126 females, with the age of (71.6±8.9)years. According to the history of hypertension, the patients were divided into hypertension group(n=259) and the non-hypertension group(n=57). The patients in the non-hypertension group were further divided into abnormal blood pressure group on admission (n=19) and normal blood pressure group on admission (n=38). The imaging features of different CSVD dimensions in the patient's images were quantified or graded and compared between hypertensive and non-hypertensive patient groups. Deep learning methods were employed to segment white matter lesions, and voxel-wise analysis was conducted to investigate the differences in whole-brain white matter lesion probability between patients in both groups. Spearman correlation analysis was used to analyze the correlation between hypertension and small cerebral vascular disease. Results: Compared with the non-hypertensive group, the cerebral microhemorrhage count, deep microhemorrhage count, basal ganglia level lacunae count, perivascular space (EPVS) grade of hemioval center level and EPVS grade of basal ganglia level were higher in the hypertensive group (all P<0.05). The cerebral microhemorrhage count [3.0(1.0, 15.0) vs 1.0 (0, 4.2)], deep microhemorrhage count [1.0 (0, 7.0) vs 1.0 (0, 4.2)] and EPVS classification at basal ganglium level [2.0(1.0, 3.0) vs 1.0(1.0, 2.0)] in the group with history of hypertension were higher than those in the group with normal blood pressure at admission (all P<0.05). The EPVS grade at the central level of the semiovale in the hypertension group was higher than that of the group with normal blood pressure at admission [2.0(1.0, 2.0) vs 1.0 (1.0, 2.0)], and also higher than that of the group with abnormal blood pressure at admission [2.0(1.0, 2.0) vs 1.0(1.0, 2.0)](both P<0.05). Voxel-by-voxel analysis showed no significant difference in the probability of white matter lesions in the whole brain between patients with and without a history of hypertension, but patients with a history of hypertension showed more extensive para-ventricular white matter hypersignaling than those without a history of hypertension. Spearman correlation analysis showed that hypertension grade was correlated with the number of microbleeding lesions in depth (r=0.149), the number of lacunae lesions in the center of the hemioval (r=0.209), and the number of lacunae lesions in the basal ganglia (r=0.204) (all P<0.05). Conclusions: Chronic hypertension can affect different dimensions of small vessel disease imaging, primarily manifested in the increases of deep microbleed counts and the EPVS grade.
Subject(s)
Cerebral Small Vessel Diseases , Hypertension , Magnetic Resonance Imaging , Humans , Female , Male , Cerebral Small Vessel Diseases/diagnostic imaging , Aged , Magnetic Resonance Imaging/methods , Cross-Sectional Studies , Middle Aged , Retrospective Studies , White Matter/diagnostic imaging , Brain/diagnostic imaging , Brain/pathologyABSTRACT
OBJECTIVE: To investigate whether resveratrol alleviates hyperglycemia-induced cardiomyocyte hypertrophy by enhancing the expression of silent information regulation 2 homolog 1 (SIRT1) to maintain mitochondrial homeostasis. METHODS: Rat cardiomyocytes H9c2 cells with or without lentivirus-mediated mRNA interference of SIRT1 were cultured in high glucose (HG) and treated with resveratrol for 72 h. The changes in superoxide dismutase (SOD) activity, malondialdehyde (MDA) content, reactive oxygen species (ROS) level, and relative surface of the cells were examined, and the mRNA expressions of atrial natriuretic factor (ANF) and brain natriuretic peptide (BNP) and protein expressions of SIRT1, mitochondrial fusion related proteins optic atrophy protein 1 (OPA1) and mitofusin 2, mitochondrial division related proteins dynamin-related protein 1 (DRP1) and fission protein 1 (FIS1), and mitophagy-related proteins BNIP3L and LC3 were detected using RT-qPCR and Western blotting. RESULTS: HG exposure significantly decreased SOD activity, increased MDA content, ROS production, relative cell surface, and the mRNA expressions of ANF and BNP in the cardiomyocytes; the protein expressions of SIRT1, OPA1, mitofusin 2 and BNIP3L and LC3-â ¡/LC3-â ratio were all decreased and the protein expressions of DRP1 and FIS1 increased in HG-exposed cells (P<0.01). All these changes in HG-exposed cardiomyocytes were significantly alleviated by treatment with resveratrol (P<0.05). The protective effects of resveratrol against HG exposure in the cardiomyocytes were obviously attenuated by transfection of the cells with si-SIRT1 (P<0.05). CONCLUSION: Resveratrol inhibits hyperglycemia-induced cardiomyocyte hypertrophy by reducing oxidative stress, the mechanisms of which involve enhancement of SIRT1 protein expression, regulation of mitochondrial fusion and division balance, and promoting BNIP3L-mediated mitophagy to maintain mitochondrial homeostasis in the cells.
Subject(s)
Hyperglycemia , Sirtuin 1 , Rats , Animals , Resveratrol/pharmacology , Reactive Oxygen Species/metabolism , Sirtuin 1/metabolism , Myocytes, Cardiac , Hyperglycemia/metabolism , Hypertrophy/metabolism , Superoxide Dismutase/metabolism , Homeostasis , RNA, Messenger/metabolism , Oxidative StressABSTRACT
PURPOSE: VESCL (pronounced 'vessel') is a novel vessel contouring library for computer-assisted 2D vessel contouring and segmentation. VESCL facilitates manual vessel segmentation in 2D medical images to generate gold-standard datasets for training, testing, and validating automatic vessel segmentation. METHODS: VESCL is an open-source C++ library designed for easy integration into medical image processing systems. VESCL provides an intuitive interface for drawing variable-width parametric curves along vessels in 2D images. It includes highly optimized localized filtering to automatically fit drawn curves to the nearest vessel centerline and automatically determine the varying vessel width along each curve. To support a variety of segmentation paradigms, VESCL can export multiple segmentation representations including binary segmentations, occupancy maps, and distance fields. RESULTS: VESCL provides sub-pixel resolution for vessel centerlines and vessel widths. It is optimized to segment small vessels with single- or sub-pixel widths that are visible to the human eye but hard to segment automatically via conventional filters. When tested on neurovascular digital subtraction angiography (DSA), VESCL's intuitive hand-drawn input with automatic curve fitting increased the speed of fully manual segmentation by 22× over conventional methods and by 3× over the best publicly available computer-assisted manual segmentation method. Accuracy was shown to be within the range of inter-operator variability of gold standard manually segmented data from a publicly available dataset of neurovascular DSA images as measured using Dice scores. Preliminary tests showed similar improvements for segmenting DSA of coronary arteries and RGB images of retinal arteries. CONCLUSION: VESCL is an open-source C++ library for contouring vessels in 2D images which can be used to reduce the tedious, labor-intensive process of manually generating gold-standard segmentations for training, testing, and comparing automatic segmentation methods.
Subject(s)
Angiography, Digital Subtraction , Humans , Angiography, Digital Subtraction/methods , Software , Image Processing, Computer-Assisted/methods , AlgorithmsABSTRACT
BACKGROUND: Informed consent constitutes an important aspect of eye care. However, patients often experience difficulties understanding and retaining information presented to them during consultations. This study investigates the efficacy of pictorial aids in supplementing preoperative counselling of patients undergoing cataract surgery. METHODS: Patients attending routine pre-cataract surgery counselling were randomized to receive either a standard verbal consultation (control) or a verbal consultation with a digitalized pictorial aid illustrating key surgical steps (intervention). Patients were assessed after the consultation on their knowledge, satisfaction, anxiety and preparedness using an anonymous questionnaire. RESULTS: Seventy-six patients were recruited and randomized into the control and intervention groups. The intervention group attained better Knowledge Scores (control: 5 [2-6] vs. intervention: 6 [6]), and more patients "strongly agreed" that they were more prepared (control: 78.9% vs. intervention: 97.4%, P=0.028). A higher proportion of patients in the control group either "disagreed" or "neither disagree nor agreed (neutral)" that they were less worried (control: 15.8% vs. intervention: 0.0%, Fisher's Exact Test P=0.025). Although the consultation duration was shorter in the intervention group (21±4mins vs. 27±6mins, P<0.001), the use of digital pictorial aids during consultation resulted in more effective counselling with increased patient knowledge, easier decision-making process and reduced patient anxiety. CONCLUSION: Pictorial aids add to the repository of tools available to eye-care practitioners and are low-cost, easy to implement, and can effectively augment existing preoperative counselling processes to ensure accurate and effective preoperative counselling of patients.