Background: Knee osteoarthritis (KOA) is a major cause leading to chronic bone and muscle pain. Extracorporeal shock wave therapy (ESWT) has been applied in treating KOA in recent years. Methods: From April 2016 to April 2017, 82 patients were diagnosed with KOA that received ESWT were selected as the ESWT group. The treatment parameters were as follows, 2.0 bar, 0.25 mJ/mm 2 , and 8 Hz/s for twice a week for 4 weeks continuously. In addition, 104 patients receiving oral administration of nonsteroidal anti-inflammatory drugs (NSAIDs) from April 2015 to April 2016 were also selected as the NSAIDs group. At 4, 8, 12, and 16 weeks upon the completion of treatment, the Visual Analogue Scale (VAS) and Western Ontario and McMaster Universities Arthritis Index (WOMAC) were adopted to evaluate the changes in pain and function of patients in both groups. For the ESWT group, the 50-m quick walk time and gait analysis were applied to observe the functional recovery at 4, 8, 12, and 16 weeks upon the completion of treatment; meanwhile, patients were followed up by magnetic resonance imaging (MRI) at 24 weeks upon the completion of treatment, so as to observe the cartilage changes. Results: Differences in VAS, 4, 8, and 12 weeks after treatment were statistically significant compared with that before treatment (4.59 ± 0.5, P < .05; 2.55 ± 0.5, P < .05; 4.39 ± 0.49, P < .05). Differences in 4, 8, and 12 weeks after treatment were statistically significant compared with that before treatment (90.41 ± 6.64, P < .05; 59.94 ± 3.19, P < .05; 90.49 ± 6.87, P < .05). Gait analysis suggested differences in 50 m walk time, walking speed, swing phase, and stance phase 8 weeks after treatment were statistically significant compared with that before treatment (36.23 ± 4.08, P < .05; 1.25 ± 0.09, P < .05; 58.56 ± 0.87, P < .05; 41.44 ± 0.87, P < .05). Differences in the VAS and WOMAC at 4 and 8 weeks after treatment between ESWT group and NASIDs group were not statistically significant. Conclusions: The ESWT has potential in reducing pain and improving knee function, and the therapeutic effects may peak at 8 weeks after the completion of treatment. Further research is needed to arrive at a definitive conclusion.
Background: Atherosclerotic disease of the internal carotid artery (ICA) is a common reason for ischemic stroke. Computed tomography angiography (CTA) is a common tool for evaluation of internal carotid artery (ICA) stenosis. However, blooming artifacts caused by calcified plaques might lead to overestimation of the stenosis grade. Furthermore, the intracranial ICA is more vulnerable to calcification than other ICA segments. The proposed technique, dual-energy computed tomography (DECT) with a modified three-material decomposition algorithm may facilitate the removal of calcified plaques and thus increase diagnostic accuracy.Objectives: The objective of the study is to assess the accuracy of the modified three-material decomposition algorithm for grading intracranial ICA stenosis after calcified plaque removal, with digital subtraction angiography (DSA) used as a reference standard.Materials and Methods: In total, 41 patients underwent DECT angiography and DSA. The three-material decomposition DECT algorithm for calcium removal was applied. We evaluated 64 instances of calcified stenosis using conventional CTA, the previous non-modified calcium removal DECT technique, the modified DECT algorithm, and DSA. The correlation coefficient (r2) between the results generated by the modified algorithm and DSA was also calculated.Results: The virtual non-calcium images (VNCa) produced by the previous non-modified calcium removal algorithm were named VNCa 1, and those produced by the modified algorithm were named VNCa 2. The assigned degree of stenosis of VNCa 1 (mean stenosis: 39.33 ± 19.76%) differed significantly from that of conventional CTA images (mean stenosis: 59.03 ± 25.96%; P = 0.001), DSA (13.19 ± 17.12%, P < 0.001). VNCa 1 also significantly differed from VNCa 2 (mean stenosis: 15.35 ± 18.70%, P < 0.001). In addition, there was a significant difference between the degree of stenosis of VNCa 2 and conventional CTA images (P < 0.001). No significant differences were observed between VNCa 2 and DSA (P = 0.076). The correlation coefficient (r2) between the stenosis degree of the VNCa 2 and DSA images was 0.991.Conclusions: The proposed DECT with a modified three-material decomposition algorithm for calcium removal has high sensitivity for the detection of relevant stenoses, and its results were more strongly correlated with DSA than with those of conventional CTA or the previous non-modified algorithm. Further, it overcomes CTA's previous problem of overestimating the degree of stenosis because of blooming artifacts caused by calcified plaques. It is useful to account for calcified plaques while evaluating carotid stenosis.
Background Although carotid artery stenting achieves definite benefits, it carries a higher rate of embolization compared with carotid endarterectomy. The incidence of embolization may be related to plaque stability. Purpose To assess for any relationship between plaque characteristics and cerebral emboli following carotid artery stenting. Material and Methods Sixty-three patients with severe carotid stenosis underwent carotid artery stenting. They were divided into two groups according to whether new ischemic lesions were detected on diffusion-weighted imaging after carotid artery stenting. We evaluated the types and locations of calcification in plaques and extent of calcification. We then assessed for a correlation between each of these factors and occurrence of new lesions on diffusion-weighted imaging after carotid artery stenting. Results The locations of calcification, percentage of plaque enhancement, and the number of plaques with irregular surface or ulceration were significantly different between the two groups. A peripheral position of calcification (close to the adventitia), enhancing plaques, and plaques with irregular surfaces or ulceration were statistically significant predictors of intracerebral embolization after carotid artery stenting. No significant differences in type of plaque or degree of calcification were found between two groups. Conclusion Peripheral calcification, enhancing plaques, and plaques with irregular surfaces were risk factors for intracerebral embolization after carotid artery stenting. These plaque characteristics should be considered when choosing the optimal treatment for patients.
Increased glucose metabolism and decreased low-frequency fluctuation have been consistently reported in the motor area of Parkinson’s disease (PD). The reason for such seeming paradox is unclear. Here, we enrolled 34 PD patients and 25 healthy controls (HCs) for hybrid PET/fMRI scan (PET/fMRI(discovery) dataset). In addition, 2 replication datasets, namely fMRI(validation-1) and fMRI(validation-2) dataset, were also included. We computed ratio of standard uptake value (SUVr) to measure FDG-uptake. The amplitude of low-frequency fluctuations (ALFF) for the following 4 frequency bands was calculated: slow-5, slow-4, slow-3, and slow-2. We obtained a significant group-by-frequency interaction effect of ALFF in the paracentral lobule/supplementary motor area (PFWE = 0.003) and the right sensorimotor area (PFWE < 0.001) in the PET/fMRI(discovery) dataset, which could be replicated using fMRI(validation-1) and fMRI(validation-2) datasets (PFWE < 0.05). In detail, HCs exhibited power law-like fluctuation pattern, but PD patients did not. Correlation analyses further revealed significant associations between ALFF and FDG-uptake in HCs (P-values < 0.031), but not in PD (P-values > 0.28). Taken together, this study identified a fluctuation shift over frequency effect in PD patients, which further disassociated with glucose metabolism in the motor cortex.
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.