scholarly journals Intelligent Algorithm-Based Analysis on Ultrasound Image Characteristics of Patients with Lower Extremity Arteriosclerosis Occlusion and Its Correlation with Diabetic Mellitus Foot

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
YunShuang Wu ◽  
Yan Shen ◽  
Hailing Sun
Keyword(s):  
Lower Extremity ◽  
Doppler Ultrasound ◽  
Femoral Artery ◽  
Color Doppler ◽  
Color Doppler Ultrasound ◽  
Ultrasound Images ◽  
Diabetic Mellitus ◽  
Intelligent Algorithm ◽  
Group A ◽  
Group B

Objective. The study focused on the correlation between lower extremity arteriosclerosis and diabetic mellitus (DM) foot, and it was explored by virtue of ultrasound images processed by an intelligent algorithm. Methods. A total of 60 DM foot patients admitted to our hospital in the past three years were selected and divided into two groups according to their condition. Patients with DM foot alone were in group B (30 cases), and patients with DM foot combined with lower extremity arteriosclerosis occlusion were in group C (30 cases). 30 healthy people were in group A as a control. Color Doppler ultrasound was used to examine the arteries of the lower extremities of all subjects. It the intramedia thickness (IMT) from the femoral artery to the dorsal foot artery was recorded, whether there was plaque in the artery or knowing the size of the plaque, its echo, and distribution, and whether the artery had stenosis. Next, the stenosis percentage was calculated. Additionally, the general information of patients was analyzed. At the same time, an intelligent algorithm was used to process ultrasound images, and its effects on image quality were evaluated. Results. Doppler ultrasound images processed by Artificial Bee Colony (ABC) had less noise and better quality, and key information about the lesion was clearly displayed. There was no statistical difference between the general data of the three groups of patients; group B and group C had higher IMT value, plaque incidence, arterial stenosis incidence, and degree of stenosis versus group A, and there were statistically significant differences between groups B and C. In particular, the incidence of femoral artery stenosis and the degree of stenosis were significantly higher in group C than in group B. The rate of stenosis above grade I in group C was as high as 71%, while that in group B was only 19%; in Group C, the incidence of stenosis above grade II was 30%, and that in group B was 13.1%. Compared with group A, group B and group C had decreased peak arterial blood velocity (PSV), resistance index (RI), and pulse index (PI), and there were statistically significant differences between groups B and C. Conclusion. DM foot is a risk factor for arteriosclerosis occlusion; color Doppler ultrasound demonstrates good diagnostic effects on arteriosclerosis occlusion; the algorithm proposed in this study can improve the quality of Doppler ultrasound images and has a high application value.

scholarly journals Evaluation of penile cavernosal artery intima-media thickness in patients with erectile dysfunction. A new parameter in the diagnosis of vascular erectile dysfunction. Our experience on 59 cases

2014 ◽  
Vol 86 (1) ◽  
pp. 9 ◽  
Author(s):  
Domenico Prezioso ◽  
Fabrizio Iacono ◽  
Umberto Russo ◽  
Giuseppe Romeo ◽  
Antonio Ruffo ◽  
...  
Keyword(s):  
Erectile Dysfunction ◽  
Carotid Artery ◽  
Doppler Ultrasound ◽  
Erectile Function ◽  
Color Doppler ◽  
Peak Systolic Velocity ◽  
Cavernosal Artery ◽  
Vascular Origin ◽  
Group A ◽  
Group B

Objective: A precise characterization of erectile dysfunction (ED) of vascular origin has not yet been achieved, although cavernous peak systolic velocity (PSV) is generally considered a major parameter. Nevertheless the penile dynamic color Doppler is invasive and linked to several complications. The intima-media thicknesses (IMT) of cavernosal artery would add to the predictive value of vasculogenic ED risk and outcomes. We also hypothesized the existence of a correlation between IMT cavernosal artery and IMT carotid arteries. This study seeks to evaluate these hypotheses with our experience, investigating the predictive accuracy of carotid and cavernosal Doppler ultrasound findings for discriminating patients with vasculogenic ED. Material and methods: A total of 59 subjects (32 vasculogenic ED patients - group A - and 27 no vasculogenic ED patients - group B) were evaluated in our andrological center from September 2012 to June 2013 and enrolled in the study. All subjects underwent medical history, erectile function domain of the International Index of Erectile Function, physical examination, routine and sex hormone blood tests, and high resolution dynamic color Doppler ultrasound evaluation of carotid and penile districts and valutation of IMT in both districts. Results: The values of cavernosal artery IMT in group A were higher than in group B (0,28 ± 0,06 mm vs 0,17 ± 0,07 mm). Even the values of carotid artery IMT in vasculogenic ED group were higher than in no vasculogenic ED group (0,74 ± 0,14 mm vs 0,59 ± 0,11 mm). The cavernosal IMT showed a moderate (r = 0.61) positive linear correlation (p < 0.001) with the carotid artery IMT. Conclusions: An increased cavernous IMT might predict ED of vascular origin with more accuracy than PSV and could be a sensitive predictor also for systemic atherosclerosis at an earlier phase.

scholarly journals Color doppler ultrasound images and their types in liver tumors.

Kanzo ◽  
1989 ◽  
Vol 30 (11) ◽  
pp. 1637-1638 ◽  
Author(s):  
Yousuke ARITA ◽  
Kazuaki YASUHARA ◽  
Jyunji FURUSE ◽  
Shoichi MATSUTANI ◽  
Masaaki EBARA ◽  
...  
Keyword(s):  
Doppler Ultrasound ◽  
Liver Tumors ◽  
Color Doppler ◽  
Color Doppler Ultrasound ◽  
Ultrasound Images

scholarly journals Deep-Learning-Based Color Doppler Ultrasound Image Feature in the Diagnosis of Elderly Patients with Chronic Heart Failure Complicated with Sarcopenia

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Peng Bian ◽  
Xiyu Zhang ◽  
Ruihong Liu ◽  
Huijie Li ◽  
Qingqing Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Doppler Ultrasound ◽  
Color Doppler ◽  
Ultrasound Image ◽  
Color Doppler Ultrasound ◽  
Control Group ◽  
Learning Technology ◽  
Ultrasound Images ◽  
Before And After ◽  
Experimental Group

The neural network algorithm of deep learning was applied to optimize and improve color Doppler ultrasound images, which was used for the research on elderly patients with chronic heart failure (CHF) complicated with sarcopenia, so as to analyze the effect of the deep-learning-based color Doppler ultrasound image on the diagnosis of CHF. 259 patients were selected randomly in this study, who were admitted to hospital from October 2017 to March 2020 and were diagnosed with sarcopenia. Then, all of them underwent cardiac ultrasound examination and were divided into two groups according to whether deep learning technology was used for image processing or not. A group of routine unprocessed images was set as the control group, and the images processed by deep learning were set as the experimental group. The results of color Doppler images before and after processing were analyzed and compared; that is, the processed images of the experimental group were clearer and had higher resolution than the unprocessed images of the control group, with the peak signal-to-noise ratio (PSNR) = 20 and structural similarity index measure (SSIM) = 0.09; the similarity between the final diagnosis results and the examination results of the experimental group (93.5%) was higher than that of the control group (87.0%), and the comparison was statistically significant ( P < 0.05 ); among all the patients diagnosed with sarcopenia, 88.9% were also eventually diagnosed with CHF and only a small part of them were diagnosed with other diseases, with statistical significance ( P < 0.05 ). In conclusion, deep learning technology had certain application value in processing color Doppler ultrasound images. Although there was no obvious difference between the color Doppler ultrasound images before and after processing, they could all make a better diagnosis. Moreover, the research results showed the correlation between CHF and sarcopenia.

A Case of Femoral Artery Pseudoaneurysm Treated with Compression Guided by Color Doppler Ultrasound

1995 ◽  
Vol 25 (1) ◽  
pp. 119 ◽  
Author(s):  
Bon Kwon Ku ◽  
Han Soo Kim ◽  
Choong Won Ko ◽  
Min Kyung Song ◽  
Sung Taek Chung ◽  
...  
Keyword(s):  
Doppler Ultrasound ◽  
Femoral Artery ◽  
Color Doppler ◽  
Color Doppler Ultrasound ◽  
Artery Pseudoaneurysm

scholarly journals An Effective and Simple Way to Establish Elastase-Induced Middle Carotid Artery Fusiform Aneurysms in Rabbits

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yanxia Lyu ◽  
Jie Luo ◽  
Yonghong Zhang ◽  
ChaoJia Wang ◽  
AnRong Li ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Carotid Artery ◽  
Color Doppler ◽  
Cerebral Aneurysms ◽  
Basic Research ◽  
Color Doppler Ultrasound ◽  
Middle Part ◽  
Medication Group ◽  
Group A ◽  
Group B

Objective. Elastase-induced aneurysms in rabbits have been proposed as a preclinical tool for device development, but there is still much deficiency in those aneurismal models. So we need to explore the efficient and convenient animal models for the investigation of intracranial aneurysms. Then, we compared and analyzed three methods of elastase-induced carotid artery aneurysms in rabbits and aimed to find a simple, effective, and reproducible method for creating elastase-induced aneurysms. Methods. 42 standard feeding male adult Japanese white rabbits (3.05±0.65 kg) were randomly divided into 3 groups and treated with elastase ablation to create common carotid artery (RCCA) aneurysm models: Group A (root-RCCA medication group, n=12), Group B (mid-RCCA medication group, n=18), and Group C (ligated RCCA+medication group, n=12). For Group A, the origin of the RCCA was blocked by two temporary aneurysm clips, and the resulting 2 cm cavity was infused with elastase for 20 min, then the clip was removed and the RCCA was not ligated. For Group B, the middle part of RCCA was treated the same way as Group A and the RCCA was not ligated. For Group C, the middle part of RCCA was treated as Group B, but the distal RCCA was ligated. After the aneurysm models were created for 3 weeks, prior to sacrificing the animals, color Doppler ultrasound and angiography were performed for blood flow measurements inside the aneurysms. Histological analysis (such as SMA-α, CD31, CD34, CD68, collagen IV, and Ki67) and the other relevant indexes were compared between the ideal model’s aneurysmal tissues and the human intracranial aneurysm’s tissues to confirm whether we have successfully established elastase-induced aneurysm models. Results. Compared with human intracranial aneurysm specimens by the color Doppler ultrasound, angiography, and changes in the inner diameter of arteries, all three methods have successfully established the elastase-induced aneurysm models. Histology showed that biological responses were similar to both human cerebral aneurysms and previously published elastase-induced rabbit aneurysm models. Group A and Group B had the same morphology, but Group A had a higher mortality rate than Group B. Group B and Group C had different morphology. The aneurysm of Group C was more similar to human cerebral aneurysms but had a higher mortality rate than Group B. Group B was confirmed not only as an alternative method but also as a more safe and effective method for creating elastase-induced aneurysm models. Conclusion. Through analysis and comparison, the Group B is proven to be the simplest, reproducible, and most effective modeling method. The aneurysm model established by Group B can be used for basic research related to aneurysm mechanism. We have provided a new and effective method for basic research on aneurysm.

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