Diagnosis Of Vascular Disease Research Articles

DopUS-Net: Quality-Aware Robotic Ultrasound Imaging Based on Doppler Signal

Medical ultrasound (US) is widely used to evaluate and stage vascular diseases, in particular for the preliminary screening program, due to the advantage of being radiation-free. However, automatic segmentation of small tubular structures (e.g., the ulnar artery) from cross-sectional US images is still challenging. To address this challenge, this paper proposes the DopUS-Net and a vessel re-identification module that leverage the Doppler effect to enhance the final segmentation result. Firstly, the DopUS-Net combines the Doppler images with B-mode images to increase the segmentation accuracy and robustness of small blood vessels. It incorporates two encoders to exploit the maximum potential of the Doppler signal and recurrent neural network modules to preserve sequential information. Input to the first encoder is a two-channel duplex image representing the combination of the grey-scale Doppler and B-mode images to ensure anatomical spatial correctness. The second encoder operates on the pure Doppler images to provide a region proposal. Secondly, benefiting from the Doppler signal, this work first introduces an online artery re-identification module to qualitatively evaluate the real-time segmentation results and automatically optimize the probe pose for enhanced Doppler images. This quality-aware module enables the closed-loop control of robotic screening to further improve the confidence and robustness of image segmentation. The experimental results demonstrate that the proposed approach with the re-identification process can significantly improve the accuracy and robustness of the segmentation results (Dice score: from <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.54$</tex-math> </inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.86$</tex-math> </inline-formula> ; intersection over union: from <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.47$</tex-math> </inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.78$</tex-math> </inline-formula> ). <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —The Doppler signal is important for the diagnosis of vascular disease, e.g., peripheral arterial disease, in clinical practices, nevertheless it is not of similar significance for state-of-the-art robotic ultrasound (US) examination systems yet. This paper explores various neural network structures to effectively extract the blood vessels from US images by incorporating the Doppler signal into the segmentation process. The final DopUS structure with two encoders extracting differentiated information from two different inputs and fusing the latent feature representations in the bottleneck layer can also inspire other tasks like multi-senor fusion. In addition, this work developed a Doppler-based tracker to assess the quality of the segmentation results in real-time. The assessment is subsequently used for a quality-aware module that enables closed-loop control of the robotic screening. Preliminary physical experiments suggest that the quality-aware robotic screening system can improve the confidence and robustness of autonomous US examination results. In the future, the Doppler signal could also be used to support clinical diagnosis. We believe the proposed quality-aware autonomous screening system is important for the development of large-scale robotic US screening programs. It will not only benefit the examination of limb arteries but also other vascular structures, e.g., carotid or aorta.

Volumetric B-mode ultrasound and Doppler Imaging: Automatic Tracking With One Single Camera.

Vascular diseases may occur in the upper extremities, and the lesions can span the entire length of the blood vessel. One of the most popular methods to identify vascular disorders is ultrasound Doppler imaging. However, traditional two-dimensional (2D) ultrasound Doppler imaging cannot capture the entire length of a long vessel in one image. Medical professionals often have to painstakingly reconstruct three-dimensional (3D) data using 2D ultrasound images to locate the lesions, especially for large blood vessels. 3D ultrasound Doppler imaging can display the morphological structure of blood vessels and the distribution of lesions more directly, providing a more comprehensive view compared to 2D imaging. In this work, we propose a wide-range 3D volumetric ultrasound Doppler imaging system with dual modality, in which a high-definition camera is adopted to automatically track the movement of the ultrasound transducer, simultaneously capturing a corresponding sequence of 2D ultrasound Doppler images. We conducted experiments on human arms using our proposed system and separately with X-ray computerized tomography (X-CT). The comparison results prove the potential value of our proposed system in the diagnosis of arm vascular diseases.

Clinical characteristics associated with elevated levels of lipoprotein(a) in patients with vascular risk.

Lipoprotein(a) (Lp(a)) is increasingly used in the evaluation of patients with vascular risk due to its association with cardiovascular events. The purpose of this study was to identify the clinical characteristics of patients with elevated levels of Lp(a) attended in an outpatient vascular risk unit. An observational, retrospective study was conducted to assess the clinical characteristics of patients with elevated levels of Lp(a) (≥50 mg/dL), as compared to patients with normal values (<50 mg/dL). The sample was composed of 878 patients identified as having a high vascular risk due to a diagnosis of vascular disease, attended in a vascular risk unit between 2021 and 2022. The highest levels of Lp(a) were independently associated with a higher probability of having a history of peripheral arterial disease (p=0.024), polygenic familial hypercholesterolemia (PH, p=0.030) and combined familial hypercholesterolemia (CFH, p=0.015); and using PCSK9 inhibitor treatment (p=0.029) and combination therapy with statins and ezetimibe (p=0.018). In contrast, there were no significant differences in relation to familial history of early cardiovascular disease (p=0.143) or personal history of cardiovascular disease (p=0.063), which contrasts with other series. Elevated levels of Lp(a) were associated with a history of peripheral arterial disease, diagnosis of FHP and CFH, and need for more intense lipid-lowering treatments.

Photoacoustic vector tomography for deep haemodynamic imaging.

Imaging deep haemodynamics non-invasively remains a quest. Although optical imaging techniques can be used to measure blood flow, they are generally limited to imaging within ∼1 mm below the skin's surface. Here we show that such optical diffusion limit can be broken through by leveraging the spatial heterogeneity of blood and its photoacoustic contrast. Specifically, successive single-shot wide-field photoacoustic images of blood vessels can be used to visualize the frame-to-frame propagation of blood and to estimate blood flow speed and direction pixel-wise. The method, which we named photoacoustic vector tomography (PAVT), allows for the quantification of haemodynamics in veins more than 5 mm deep, as we show for regions in the hands and arms of healthy volunteers. PAVT may offer advantages for the diagnosis and monitoring of vascular diseases and for the mapping of the function of the circulatory system.

Prevalence of carotid artery calcification detected by different dental imaging techniques and their relationship with cardiovascular risk factors, age and gender

BackgroundAtherosclerosis and its secondary diseases display a major threat to patient’s health. Sequelae, like carotid artery calcification (CAC), usually develop over decades and remain asymptomatic for a long time, making preventive measures to reduce mortality and morbidity extremely important. Through panoramic radiography (PR) and cone beam computed tomography (CBCT), dentists may have helpful tools in aiding the holistic care of patients. In this context, the correlation of atherosclerotic risk factors and CAC development have not yet been sufficiently investigated. Thus, the aim of this observational radiological study was to evaluate the diagnostic value of PR compared with CBCT for the detection of CAC in patients older than 60 years. The radiological findings were correlated with gender, age, and cardiac risk factors.MethodsPRs and CBCTs of N = 607 patients were used for the qualitative analysis and compared. Basic patient information such as age, gender, body mass index (BMI), smoking history as well as patient’s detailed medical history, including heart disease and cardiovascular risk factors such as hypercholesterolemia, arterial hypertension and diabetes mellitus type II were documented and their relation to CAC provided by radiological data was estimated in the form of odds ratios (OR), which were calculated using logistic regression models. Proportions of CAC in different risk groups were compared using Fisher’s exact test, the significance level was set to α ≤ 0.05. The interrater reliability of two physicians was estimated using Cohen’s kappa.ResultsWith an accuracy of 90.6%, a sensitivity of 67.5% and a specificity of 99.5% compared to CBCT, PR was a reliable method for the diagnosis of CAC. The overall detection rate for CAC was 27.8% across all age groups. Age (OR: 1.351; p = 0.021), the male sex (OR: 1.645; p = 0.006), arterial hypertension (OR: 2.217; p = < 0.001), heart disease (OR: 1.675; p = 0.006), hypercholesterolemia (OR: 1.904; p = 0.003) and chronic obstructive pulmonary disease (OR: 2.016; p = 0.036) were statistically significant risk factors. When correlated, neither history of stroke nor nicotine abuse showed any statistical significance.ConclusionsDue to the capabilities of PR in the diagnosis of CAC, dentists can play a vital role in the early diagnosis of vascular disease. Awareness should therefore be raised among dentists regarding the detection of CAC in patients over 60 years of age, with a particular focus on those with arterial hypertension and hypercholesterolaemia.

Features of cognitive impairment and anxiety-depressive disorders in patients in the acute period of stroke

Introduction. Cognitive impairment after a stroke remains one of the leading causes of disability. Despite the introduction of new methods of treatment, diagnosis, and prevention of acute vascular diseases, more than 50 % of patients experience cognitive disorders after a stroke, a third of which reach a severe degree of dementia. The purpose of the study is to identify and assess risk factors for the development of cognitive impairment disorders in patients after a stroke and evaluate the impact of anxiety and depressive phenomena on their course. Materials and methods. The combined retro-prospective study included 40 patients with mild stroke according to the NIHSS. The diagnosis of stroke in all subjects was verified based on the results of MSCT of the brain. All patients underwent a comprehensive clinical and laboratory monitoring: a general examination; an assessment of neurological and functional status; an assessment of cognitive functions and mental status by MMSE scale and the Frontal Assessment Battery; an assessment of anxiety-depressive disorders by the Spielberger State-Trait Anxiety Inventory, the Beck Depression Inventory, and the Hamilton Rating Scale. The influence of individual risk factors on the development of cognitive impairment was evaluated. Results. More than 80 % of the patients with mild stroke in the acute period experienced a decrease in cognitive functions, while 62 % of the subjects showed signs of frontal dementia of varying severity. In the presence of high comorbidity with forms of the circulatory system pathologies (hypertension, diabetes, atrial fibrillation, coronary heart disease), there was a high frequency of both frontal dementia (in 87 % of the patients), and a decrease in cognitive functions on the MMSE scale (67 % of cases). All patients were diagnosed with depression, and half of them — with severe depression. 80 % of the patients with severe depression had severe cognitive changes on the MMSE scale, and 75 % had severe frontal dysfunction. Conclusion. Thus, high vascular comorbidity and the presence of anxiety and depressive disorders are significant risk factors for the development of cognitive impairment after a stroke. In this regard, measures aimed at their timely detection, treatment, and correction will make it possible to effectively reduce the incidence of post-stroke cognitive impairment, which, in turn, will improve the quality of life not only for the patients themselves but also for their relatives.

Liver Transplantation in a Woman with Mahvash Disease

SummaryMahvash disease is an exceedingly rare genetic disorder of glucagon signaling characterized by hyperglucagonemia, hyperaminoacidemia, and pancreatic α-cell hyperplasia. Although there is no known definitive treatment, octreotide has been used to decrease systemic glucagon levels. We describe a woman who presented to our medical center after three episodes of small-volume hematemesis. She was found to have hyperglucagonemia and pancreatic hypertrophy with genetically confirmed Mahvash disease and also had evidence of portal hypertension (recurrent portosystemic encephalopathy and variceal hemorrhage) in the absence of cirrhosis. These findings established a diagnosis of portosinusoidal vascular disease, a presinusoidal type of portal hypertension previously known as noncirrhotic portal hypertension. Liver transplantation was followed by normalization of serum glucagon and ammonia levels, reversal of pancreatic hypertrophy, and resolution of recurrent encephalopathy and bleeding varices.

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Blood vessel segmentation in medical imaging is one of the essential steps for vascular disease diagnosis and interventional planning in a broad spectrum of clinical scenarios in image-based medicine and interventional medicine. Unfortunately, manual annotation of the vessel masks is challenging and resource-intensive due to subtle branches and complex structures. To overcome this issue, this paper presents a self-supervised vessel segmentation method, dubbed the contrastive diffusion adversarial representation learning (C-DARL) model. Our model is composed of a diffusion module and a generation module that learns the distribution of multi-domain blood vessel data by generating synthetic vessel images from diffusion latent. Moreover, we employ contrastive learning through a mask-based contrastive loss so that the model can learn more realistic vessel representations. To validate the efficacy, C-DARL is trained using various vessel datasets, including coronary angiograms, abdominal digital subtraction angiograms, and retinal imaging. Experimental results confirm that our model achieves performance improvement over baseline methods with noise robustness, suggesting the effectiveness of C-DARL for vessel segmentation.Our source code is available at https://github.com/boahK/MEDIA_CDARL.22This paper extends the work (Kim et al., 2023) presented at the Eleventh International Conference on Learning Representations (ICLR) 2023.

MedGCN: An IoT-edge thrombus graph convolutional network for accurate prediction and prescription diagnosis of vascular occlusive diseases from unstructured clinical reports

The timely and accurate prediction and diagnosis of vascular occlusive diseases are pivotal in enhancing patient outcomes. This research addresses this critical healthcare challenge by introducing MedGCN, a novel thrombus graph convolutional network model. MedGCN is specifically designed for the precise prediction of prescriptions and diagnoses based on unstructured clinical diagnostic reports. The model synergistically blends OpenAI’s GPT4 and a uniquely designed Cross Fusion Graph Convolutional Network (CF-GCN) to ensure the meticulous fusion of knowledge. We delve into nine distinct learning tasks, encompassing both prescription and diagnosis and employ a multi-label classification GCN pretraining technique to assess them. Our evaluation underscores MedGCN’s robust predictive prowess across various tasks. By amalgamating cutting-edge AI paradigms with IoT edge computing, this research not only bolsters the efficacy of medical decision-making but also champions patient privacy. The methodologies and findings presented herein hold immense potential for deployment in IoT frameworks, thus proffering swift and precise assistance in medical decision-making and addressing a paramount need in the contemporary healthcare landscape.

Ocular and eyelid involvement in collagen vascular diseases. Part II. Dermatomyositis, scleroderma, and sarcoidosis

Collagen vascular disease is a heterogeneous group of autoimmune diseases that affect multiple organ systems. Sjögren syndrome, dermatomyositis, scleroderma, systemic lupus erythematosus, and sarcoidosis are collagen vascular diseases that often present with characteristic cutaneous manifestations. Although less known, various ocular manifestations that affect both external and internal structures of the eye can also be seen in these conditions. Multidisciplinary management between dermatologists and ophthalmologists is essential in the early diagnosis and management of collagen vascular diseases affecting both the skin and eye. In part II of our series, we discuss the ocular manifestations, diagnosis, and therapeutic options of dermatomyositis, scleroderma, and sarcoidosis.

Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature

Developing fully automatic and highly accurate medical image segmentation methods is critically important for vascular disease diagnosis and treatment planning. Although advances in convolutional neural networks (CNNs) have spawned an array of automatic segmentation models converging to saturated high performance, none have explored whether CNNs can achieve (spatially) tunable segmentation. As a result, we propose multiple attention modules from a frequency-domain perspective to construct a unified CNN architecture for segmenting vasculature with desired (spatial) scales. The proposed CNN architecture is named frequency-domain attention-guided cascaded U-Net (FACU-Net). Specifically, FACU-Net contains two innovative components: (1) a frequency-domain-based channel attention module that adaptively tunes channel-wise feature responses and (2) a frequency-domain-based spatial attention module that enables the deep network to concentrate on foreground regions of interest (ROIs) effectively.Furthermore, we devised a novel frequency-domain-based content attention module to enhance or weaken the high (spatial) frequency information, allowing us to strengthen or eliminate vessels of interest. Extensive experiments using clinical data from patients with intracranial aneurysms (IA) and abdominal aortic aneurysms (AAA) demonstrated that the proposed FACU-Net met its design goal. In addition, we further investigated the association between varying (spatial) frequency components and the desirable vessel size/scale attributes. In summary, our preliminary findings are encouraging, and further developments may lead to deployable image segmentation models that are spatially tunable for clinical applications.

Ocular and eyelid involvement in collagen vascular diseases. Part I. Sjögren syndrome and systemic lupus erythematosus

Collagen vascular disease is a heterogeneous group of autoimmune diseases that affect multiple organ systems. Sjögren syndrome, dermatomyositis, scleroderma, systemic lupus erythematosus, and sarcoidosis are collagen vascular diseases that often present with characteristic cutaneous manifestations. Although less known, various ocular manifestations that affect both external and internal structures of the eye can be seen in these conditions. Multidisciplinary management between dermatologists and ophthalmologists is essential in the early diagnosis and management of collagen vascular diseases affecting both the skin and eye. Part I of our series will discuss the ocular manifestations, their diagnosis, and therapeutic options in Sjögren syndrome and systemic lupus erythematosus.

Hypersensitive MR angiography based on interlocking stratagem for diagnosis of cardiac-cerebral vascular diseases

Magnetic resonance (MR) angiography is one of the main diagnostic approaches for cardiac-cerebral vascular diseases. Nevertheless, the non-contrast-enhanced MR angiography suffers from its intrinsic problems derived from the blood flow-dependency, while the clinical Gd-chelating contrast agents are limited by their rapid vascular extravasation. Herein, we report a hypersensitive MR angiography strategy based on interlocking stratagem of zwitterionic Gd-chelate contrast agents (PAA-Gd). The longitudinal molar relaxivity of PAA-Gd was 4.6-times higher than that of individual Gd-chelates as well as appropriate blood half-life (73.8 min) and low immunogenicity, enabling sophisticated micro-vessels angiography with a resolution at the order of hundred micrometers. A series of animal models of cardiac-cerebrovascular diseases have been built for imaging studies on a 7.0 T MRI scanner, while the clinical translation potential of PAA-Gd has been evaluated on swine on a 3.0 T clinical MRI scanner. The current studies offer a promising strategy for precise diagnosis of vascular diseases.

Normative data of Ankle brachial pressure Index and Toe brachial index in normal healthy male adult using fully automated vascular Doppler

ABSTRACT Context: Peripheral vascular disease affects some 12%–14% of the general population, and the majority of people with the disease are asymptomatic. Risk factors for it are smoking, diabetes mellitus, hyperlipidemia, hypertension, obesity, and syndrome X. The Ankle Brachial Pressure Index (ABPI) is one of the screening noninvasive methods for the diagnosis of peripheral vascular disease. Assessment is performed by fully automated vascular Doppler, which is considered to be accurate; however, normative data are limited. Aims: To measure the normative data of ABPI and Toe brachial index (TBI) in a healthy adult Settings and Design: A cross-sectional study done in male (n = 59) volunteers in the age group of 18 to 50 years of age group Methods and Material: Smartdop XT fully automatic Doppler-14 ports (Hadeco, Japan) was used to measure ABPI and Toe brachial index (TBI) Statistical analysis used: Normative value (Mean, SD, Range) was calculated using Systac 13 software Results: Right-side Ankle Brachial Pressure Index (ABPI) and left-side ABPI at the posterior tibial artery (PT) were 1.061 ± 0.098, and 1.105 ± 0.139, respectively. Right-side ABPI and left-side ABPI at the dorsal pedis artery were 0.86 ± 0.129 and 0.86 ± 0.115. Right-side toe Brachial Pressure Index (TBPI) and left-side ABPI was 0.85 ± 0.185 and 0.822 ± 0.2, respectively. Conclusions: ABPI index of more than 0.9 may be considered normal in the male population in Bhopal; however, we recommend further Multicentric trials across the Indian population.

Alt Ekstremite Periferik Arter Hastalığında Endovasküler Girişimlerden Kaynaklanan Akut Komplikasyonların Cerrahi Yönetimi: Eskimeyen Yeni

Aim: The importance of endovascular procedures in the diagnosis and treatment of peripheral vascular diseases has seen a notable rise in recent years. Nevertheless, this surge has resulted in a corresponding rise in iatrogenic vascular complications and subsequent interventions associated with peripheral endovascular procedures. This study involved a retrospective evaluation of acute complications associated with endovascular treatments performed for lower limb peripheral artery diseases, as well as a closer look of the related therapeutic strategies for these challenges.&#x0D; Materials and Methods: A retrospective evaluation was conducted on a cohort of 400 patients who received endovascular intervention for lower extremity peripheral artery disease at our clinic. The study included 27 patients (6.7%) from this cohort who received surgical or endovascular treatment for acute complications following endovascular intervention. Our preference for endovascular or surgical treatments was chosen based on the type and localization of the complications.&#x0D; Results: The mean age of patients who experienced complications was 63.7±6 years. The complications were as follows in order of frequency: dissection 14 (51.9%) patients, arterial perforation 5 (18.5%) patients, major hematoma 3 (11.1%) patients, pseudoaneurysm 2 (7.4%) patients, distal embolism 2 (7.4%) patients and arterio-venous fistula 1 (3.7%) patient. In the treatment of complications, endovascular methods were preferred in 19 (4.7%) patients and surgical approaches were used in 8 (2%) patients. Following endovascular intervention, minor amputation was performed in one patient.&#x0D; Conclusion: The rapid and effective management of complications related to peripheral endovascular procedures in the lower extremities is of utmost importance. Despite the notable advancements in endovascular procedures in recent years, there are scenarios where these interventions may be insufficient for dealing with complications. The management of such problems may necessitate surgical intervention. Hence, the integration of well-established and validated vascular surgical techniques with endovascular interventions is believed to yield optimal outcomes.

Analysis of periodic pulsating blood flow of fractional Maxwell power-law fluid in carotid artery with elastic vessel wall

Hemodynamic analysis reveals a highly significant effect on the prevention, diagnosis, and treatment of human vascular diseases. This article goes deeply into the periodic pulsatile blood flow in the carotid artery with an elastic vessel wall. In view of blood rheological experimental data, the constitutive equation of fractional Maxwell power-law fluid with yield stress, which can describe the four characteristics of yield stress, viscoelasticity, shear thinning, and thixotropy is established. Meanwhile, drawing support from the data of pulsatile flow, the finite Fourier series of pressure gradient with a period of 1 s has been proposed. Leading into Hooke’s law can build the fluid-structure coupling boundary condition of blood flow and elastic vessel wall. The numerical solutions are got hold of finite difference method integrated with the newly developed L1-algorithm, and their convergence and stability of which are verified. The axial velocities of blood under different constitutive relationships are compared. The results throw light that other constitutive relationships underestimate the velocity of blood. Furthermore, the flow rate and wall shear stress on different fluid are calculated. It can be concluded that compared with Bingham fluid, the maximum and minimum flow rate/wall shear stress of fractional Maxwell power-law fluid with yield stress increases by 19% and 32%, respectively. The flow rate lags behind the pressure gradient and has time delay effect, on the contrary, the velocity of blood vessel wall is keeping pace with the pressure gradient. The effects of relevant physical parameters on velocity are discussed. In addition, the spatiotemporal distribution of blood flow in cerebral artery and femoral artery are analyzed.

Regulation of non-coding RNA in type H vessels angiogenesis of bone

To summarize the regulatory effect of non-coding RNA (ncRNA) on type H vessels angiogenesis of bone. Recent domestic and foreign related literature about the regulation of ncRNA in type H vessels angiogenesis was widely reviewed and summarized. Type H vessels is a special subtype of bone vessels with the ability to couple bone formation. At present, the research on ncRNA regulating type H vessels angiogenesis in bone diseases mainly focuses on microRNA, long ncRNA, and small interfering RNA, which can affect the expressions of hypoxia inducible factor 1α, platelet derived growth factor BB, slit guidance ligand 3, and other factors through their own unique ways of action, thus regulating type H vessels angiogenesis and participating in the occurrence and development of bone diseases. At present, the mechanism of ncRNA regulating bone type H vessels angiogenesis has been preliminarily explored. With the deepening of research, ncRNA is expected to be a new target for the diagnosis and treatment of vascular related bone diseases.

Smartphone-Based Rigid Endoscopy Device with Hemodynamic Response Imaging and Laser Speckle Contrast Imaging.

Modern smartphones have been employed as key elements in point-of-care (POC) devices due to remarkable advances in their form factor, computing, and display performances. Recently, we reported a combination of the smartphone with a handheld endoscope using laser speckle contrast imaging (LSCI), suggesting potential for functional POC endoscopy. Here, we extended our work to develop a smartphone-combined multifunctional handheld endoscope using dual-wavelength LSCI. Dual-wavelength LSCI is used to monitor the changes in dynamic blood flow as well as changes in the concentration of oxygenated (HbO2), deoxygenated (Hbr), and total hemoglobin (HbT). The smartphone in the device performs fast acquisition and computation of the raw LSCI data to map the blood perfusion parameters. The flow imaging performance of the proposed device was tested with a tissue-like flow phantom, exhibiting a speckle flow index map representing the blood perfusion. Furthermore, the device was employed to assess the blood perfusion status from an exteriorized intestine model of rat in vivo during and after local ischemia, showing that blood flow and HbO2 gradually decreased in the ischemic region whereas hyperemia and excess increases in HbO2 were observed in the same region right after reperfusion. The results indicate that the combination of LSCI with smartphone endoscopy delivers a valuable platform for better understanding of the functional hemodynamic changes in the vasculatures of the internal organs, which may benefit POC testing for diagnosis and treatment of vascular diseases.

Nanotechnology translation in vascular diseases: From design to the bench.

Atherosclerosis is a systemic pathophysiological condition contributing to the development of majority of polyvascular diseases. Nanomedicine is a novel and rapidly developing science. Due to their small size, nanoparticles are freely transported in vasculature, and have been widely employed as tools in analytical imaging techniques. Furthermore, the application of nanoparticles also allows target intervention, such as drug delivery and tissue engineering regenerative methods, in the management of major vascular diseases. Therefore, by summarizing the physical and chemical characteristics of common nanoparticles used in diagnosis and treatment of vascular diseases, we discuss the details of these applications from cellular, molecular, and in vivo perspectives in this review. Furthermore, we also summarize the status and challenges of the application of nanoparticles in clinical translation. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Cardiovascular Disease Implantable Materials and Surgical Technologies > Nanomaterials and Implants Therapeutic Approaches and Drug Discovery > Emerging Technologies.

The Frequency of Immune Thrombocytopenic Purpura in Collagen Vascular Disorders

Background: Many rheumatologic conditions are associated with thrombocytopenia due to antibody-mediated platelet destruction. Knowing the rate of ITP patients who develop vascular collagen diseases and the developed type can help predict future treatments and even take preventive measures. Objectives: This study aimed to know the frequency of immune thrombocytopenic purpura (ITP) in collagen vascular disorders. Methods: The present retrospective cross-sectional study was conducted in 2020 on the health records of 447 eligible patients. First, the patient’s details, such as age, gender, marital status, age at diagnosis, time from the diagnosis of ITP to the development of lupus, and the patients’ ANA and anti-dsDNA test results, were extracted from their records and entered into the preparation checklist. Finally, the data were entered into SPSS-23 and analyzed at a statistically significant level of 0.05. Results: The mean interval between the initial diagnosis of ITP and vascular collagen disease diagnosis was 2.1 ± 0.9 years. The records of 336 patients with systemic lupus erythematosus (SLE) were also assessed, of whom 15 (4.5%) had first developed ITP and then lupus. Hence, of the 447 patients included in the study, 17 (3.8%) with a history of ITP then developed lupus. Conclusions: Comparing the present findings with the results of other studies shows that Iranian patients with ITP develop vascular collagen disease at a lower rate.