Ultrasound Research Articles

Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease.

We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify early fibrosis in patients with chronic kidney disease (CKD). This prospective study included patients with CKD who underwent continuous gray-scale US, superb microvascular imaging, and strain elastography from May to November 2022. According to the pathological tubular atrophy and interstitial fibrosis score, patients were divided into minimal and mild groups (affected area ≤10% and 11 - 25% of the total cortical volume, respectively). The dataset was divided into training (70%) and test (30%) sets. A DL model combining the features of the three US modes was developed to predict early fibrosis in patients with CKD. We compared these findings with the area under the receiver operating characteristic curve (AUC) of the clinical model by analyzing the receiver operating characteristic curve in the test set. The AUC of single-mode DL based on gray-scale US, superb microvascular imaging, and strain elastography was 0.682, 0.745, and 0.648, respectively, while that of the multimodal US DL model was 0.86. The accuracy, specificity, and sensitivity of the multimodal US DL model were 0.779, 0.767, and 0.796, respectively, and the negative and positive predictive values were 0.842 and 0.706, respectively. The AUC of the multimodal US DL model was significantly better than that of the single-mode DL and clinical models. The DL algorithm developed using multimodal US images can effectively predict early fibrosis in patients with CKD with significantly greater accuracy than single-mode DL or clinical models.

Preservation of minimally processed carrots using the combination of ultrasound and mild heat ascorbic acid

Ultrasound (US) in combination with chemical disinfectants is an efficient and cost-effective hurdle technology for disinfecting minimally processed produce (MPP). However, the demand for non-chemical disinfection methods is increasing. In addition, chemical methods have been ineffective in simultaneously improving the physiological properties and inactivating pathogens in MPP. In this study, a novel and safe method called mild heat ascorbic acid (MHAsA; 1 % AsA at 50 °C) was combined with US to process minimally processed carrots. Physiological properties and microbial inactivation efficacy were analyzed during the storage period (0–5 days). The findings indicated that US-MHAsA induced the highest levels of antioxidant enzymes (superoxide dismutase and catalase) activities and accelerated the glutathione-ascorbate cycle, resulting in lower reactive oxygen species (ROS) and malondialdehyde content compared to US and MHAsA. The efficacy of US-MHAsA in inactivating phenylalanine lyase, the initial enzyme in the lignin synthesis process, was lower than that of US. On the other hand, its ability to inactivate cinnamyl alcohol dehydrogenase, the final enzyme in the process, was better than that of both US and MHAsA. However, there were no significant differences in lignin content among the three groups. The inactivation efficacy against enzymes (polyphenol oxidase and peroxidase) involved in browning was consistent across the three treatments. Analysis of the disinfection efficacy against Escherichia coli O157:H7 and Salmonella Typhimurium revealed that US-MHAsA achieved the lowest cross-contamination incidence (10–12 %) during washing, which was significantly lower than the incidence achieved by US (75–82 %). During the period from day 0 to day 5, two pathogens on carrots in the control group increased from 6.25 to 6.64 log CFU/g, while the lowest counts were observed in the US-MHAsA group, decreasing from 4.44 to 3.74 log CFU/g. However, the counts in the US group increased from 5.22 to 6.32 log CFU/g, and the counts at day 5 were not significantly lower than the control. These findings indicate that US-MHAsA is a novel hurdle technology that effectively reduces the risk of pathogen contamination and enhances the ability of MPP to scavenge ROS.

Development of image extraction using the centerline method in the identification of appendicitis in ultrasonography

Appendicitis is a disease that refers to inflammation of the appendix caused by obstruction, or blockage, in the lumen of the appendix. We investigated that this disease can be detected early through medical imaging such as ultrasonography (USG). However, the role of ultrasound in these cases is still limited due to the low visualization rate of the visible appendix. Based on this, this research aims to develop an image extraction process using the Centerline method in the process of identifying appendicitis in ultrasound images. The development of the extraction process is presented in the performance of the centerline and boundary extraction (CBE) algorithm which can represent image objects as boundaries that limit and separate one area from other areas. The research dataset used was 2097 ultrasound images sourced from 90 patients at the West Sumatra Lung Hospital. Based on the tests that have been carried out, it has been proven that it can reduce the width of the image object iteratively until the object is represented as a center line or the thinnest representation. The performance of the CBE algorithm in the identification process is sufficient to provide accuracy results of 92%. These results can be a new extraction concept that can provide accuracy in the identification process.

Enhanced catalytic degradation of acetaminophen using magnesium oxide-infused clay with ultrasonic activation of hydrogen peroxide

In this study, clay modified with magnesium oxide (MgO) was used as a catalyst for the degradation of acetaminophen in wastewater, activated by hydrogen peroxide (H2O2) and ultrasonic waves. Characterization of the Clay-MgO catalyst was conducted using TGA, XRD, BET, SEM, FTIR, XRF, and EDX, revealing functional groups capable of activating H2O2. The crystalline catalyst, synthesized at 500 °C, had a surface area of 30 m2/g. Optimal conditions for acetaminophen removal, achieving 75 % efficiency, were pH 8, 3 g/L catalyst, 0.2 mL/100 mL H2O2, and 60 min of contact time. In distilled water, mineralization of acetaminophen was 42 %, while actual wastewater showed 18 %. Hydroxyl radicals played a significant role in the degradation process. The catalyst was tested for reuse up to six times and maintained a high efficiency of over 53 % in five stages. Radical scavenger studies confirmed the importance of hydroxyl radicals in the degradation kinetics, which followed pseudo-first-order (R2 > 0.96) and Langmuir-Hinshelwood (R2 = 0.95) models. The catalyst also demonstrated efficient acetaminophen removal in complex solutions, including seawater. This MgO-modified clay shows promise as an effective catalyst for the degradation of pharmaceutical pollutants through hydrogen peroxide activation, maintaining stability and reusability across multiple cycles.

Ultrasonic chemical synthesis of zinc-manganese ferrites with improved magnetic properties

Zinc-Manganese spinel ferrites (Zn1-xMnxFe2O4) are nowadays very attractive magnetic materials for cancer diagnostic and therapy. With the help of intense ultrasonic waves, sonochemical synthesis method was used to prepare stoichiometric and chemically homogenous nanoparticles by varying the manganese content. The crystal structure along with the size and shape of the as-prepared nanoparticles were described using XRD, TEM and FT-IR techniques, while cations distribution was carefully investigated using XPS and Mössbauer spectroscopic techniques and supported with density functional theory calculations. The crystal structure study revealed the presence of a pure single cubic spinel phase, where the unit-cell and the size were observed to decrease as the manganese incorporation was increased with clear indication of cationic redistribution and degree of inversion variations. Due to the very small variation of the total energy between different configurations, the probability of formation of a mixed phase was found to be very high in such a way that the more mixed was the phase, the more stable it was. A relevant fact was the noticed quasi-systematic ionic exchange made possible by the very short reaction times and high energy offered by the ultrasonic waves. For manganese concentrations up to 60%, the systematic ionic process started by incorporating manganese ions into octahedral sites and pushing iron ions to migrate and replace those of zinc in tetrahedral sites. Such an ionic movement was of central importance for the improvement of the magnetic properties due to the establishment of super-exchange interactions. Such an ionic engineering should definitely open the way to promising applications in biomedical imaging.

IOT Based Distance Measuring Robot

The paper describes the development of a distance measurement system that uses ultrasonic waves and is interfaced with a microcontroller module ATmega328P and the ATMega 16U2 Processor. We know that the human audible range is 20 Hz to 20 kHz. We can use these frequency range waves with an ultrasonic sensor. The advantages of this sensor are that when it is connected to an Arduino, which is a control and sensing system, a pro per distance measurement can be done using new methodologies. As vast sums of money are spent on hundreds of inflexible circuit boards, the Arduino will enable businesses to introduce many more unique items. This distance measurement system has a wide range of industrial applications, including range meters and proximity detectors. The ultrasonic sensor's hardware is interfaced with the Arduino. This method of measurement is an effective way to accurately measure small distances. The distance between an obstruction and the sensor is measured using an ultrasonic sensor. After knowing the speed of sound, the distance can be computed. In this project, The Bluetooth sensor receives a code from the Arduino app, and the Arduino operates in accordance with the code. Additionally, an ultrasonic sensor is utilized, which transmits an ultrasonic wave towards the object. When the ultrasonic wave returns after hitting the item, the transmitter detects the obstacle's distance and displays it on the LCD in centimeters. Using the ESP32 camera module, the user may log in to a specific IP address and see the object from a remote location while also controlling the robot.

Associations Between Partial Common Extensor Tendon Tears and Clinical-Ultrasonographic Findings in Patients with Lateral Epicondylitis

Abstract Objective This study investigates the effect of partial common extensor tendon(CET) tears on demographic, clinical and ultrasound(US) parameters in patients with lateral epicondylitis(LE). The research aimed to provide a comprehensive understanding of how these US-detected partial tears, influence the clinical presentation and imaging findings associated with LE. Design Retrospective cross-sectional study. Records of 227 patients with LE met the inclusion-exclusion criteria were reviewed. The patient-rated tennis elbow evaluation(PRTEE) questionnaire was used as the primary outcome measure. Secondary outcome measures were visual analogue scale for pain, algometric measurements, hand grip strength, and US parameters(maximum tendon thickness measurements from the capitellar-radiocapitellar sides and presence of bone abnormalities). Results Partial CET tears detected using US were present in 22.7%(n = 54) of the patients. Patients with partial CET tears were older(50,31±9,22), had higher PRTEE scores(65,48±12,76), capitellar-radiocapitellar maximum tendon thickness measurements(0,60±0,80/0,60±0,72), and incidence of bone abnormalities(%40.7,n = 32)(p < .05). Logistic regression analysis identified age and PRTEE pain score as associative factors with partial CET tears. Capitellar-radiocapitellar maximum tendon thickness measurements greater than 0.55 cm were associated with an increased probability of partial CET tears. Conclusion US-detected partial CET tears may worsen the clinical and US parameters in patients with LE. Older age, higher PRTEE scores and higher maximum tendon thickness measurements were associated with partial CET tears.

Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach

This paper presents the use of noncontact ultrasound for the nondestructive detection of defects in two plastic plates made of polyamide (PA6) and polyethylene (PE). The aim of the study was to: (1) assess the presence of defects as well as their size, type, and orientation based on the amplitudes of Lamb ultrasonic waves measured in plates made of polyamide (PA6) and polyethylene (PE) due to their homogeneous internal structure, which mainly determined the selection of such model materials for testing; and (2) verify the possibilities of building automatic quality control and defect detection systems based on ML based on the results of the above-mentioned studies within the Industry 4.0/5.0 paradigm. Tests were conducted on plates with generated synthetic defects resembling defects found in real materials such as delamination and cracking at the edge of the plate and a crack (discontinuity) in the center of the plate. Defect sizes ranged from 1 mm to 15 mm. Probes at 30 kHz were used to excite Lamb waves in the slab material. This method is sensitive to the slightest changes in material integrity. A significant decrease in signal amplitude was observed, even for defects of a few millimeters in length. In addition to traditional methods, machine learning (ML) was used for the analysis, allowing an initial assessment of the method’s potential for building cyber-physical systems and digital twins. By training ML models on ultrasonic data, algorithms can distinguish subtle differences between signals reflected from normal and defective areas of the material. Defect types such as voids, cracks, or weak bonds often produce distinct acoustic signatures, which ML models can learn to recognize with high accuracy. Using techniques like feature extraction, ML can process these high-dimensional ultrasonic datasets, identifying patterns that human inspectors might overlook. Furthermore, ML models are adaptable, allowing the same trained algorithms to work on various material batches or panel types with minimal retraining. This combination of automation and precision significantly enhances the reliability and efficiency of quality control in industrial manufacturing settings. The achieved accuracy results, 0.9431 in classification and 0.9721 in prediction, are comparable to or better than the AI-based quality control results in other noninvasive methods of flat surface defect detection, and in the presented ultrasonic method, they are the first described in this way. This approach demonstrates the novelty and contribution of artificial intelligence (AI) methods and tools, significantly extending and automating existing applications of traditional methods. The susceptibility to augmentation by AI/ML may represent an important new property of traditional methods crucial to assessing their suitability for future Industry 4.0/5.0 applications.

AVIA-SHIELD: Advanced Bird Strike Prevention Using Ultrasonic and Laser Technologies for Aircraft Safety

Bird strikes pose significant risks to aviation safety and can lead to costly damages and delays. This project explores an innovative approach to preventing bird strikes on aircraft by leveraging ultrasonic technology. This method prevents and reduces bird strikes humanely and non-lethally while minimizing disruptions to aerodrome operations and reducing economic losses. The primary focus is on ground- level bird deterrence. The project employs buzzer sound systems combined with ultrasonic waves to create an auditory and sensory deterrent that disrupts bird behavior near runways and aircraft areas. The effectiveness of these techniques will be evaluated through field tests and simulations, aiming to enhance aircraft safety and reduce the frequency of bird strike incidents. Keywords: Bird Strike, Radar, Ultrasonic emission, laser protection.

Achieving High Performance with Less Energy Consumption: Intermittent Ultrasonic-Mediated Operation Mode for Fe/V Non-Aqueous Redox Flow Battery

Deep eutectic solvents (DESs) have attracted much attention as sustainable electrolytes for redox flow batteries. Despite the tremendous advantages of DES-based electrolytes, their high viscosity property has a negative effect on their mass transfer, limiting current density and power density. The ultrasonic effect has been demonstrated as an efficient strategy to improve mass transfer characteristics. Incorporating ultrasonic waves into a deep eutectic solvent (DES) electrolyte enhances the mobility of redox-active ions, thereby accelerating the reaction dynamics of the Fe(III)/Fe(II) redox pair. This enhancement makes it suitable for use in non-aqueous electrolyte-based redox flow batteries. However, it is necessary to consider the loss of ultrasonic on the internal structure of the battery, as well as the loss of battery component materials and ultrasonic energy consumption in practical applications. Moreover, the continuous extension of the duration of ultrasonic action not only hardly leads to a more significant improvement of the battery performance, but is also detrimental to the energy and economic savings. Herein, intermittent ultrasound is used to overcome the quality transfer problem and reduce the operating cost. Good electrochemical performance enhancement is maintained with a roughly 50% reduction in energy consumption values. The mechanism as well as the visualization of the pulsed ultrasonic field on each half cell has been envisaged through fundamental characterization. Finally, the feasibility of interrupted ultrasonic activation applied to Fe/V RFB using DES electrolytes has been demonstrated, demonstrating similar behavior with continuous ultrasonic operation. Therefore, the interrupted ultrasonic field has been found to be a more effective operation mode in terms of energy cost, avoiding alternative undesirable effects like overheating or corrosion of materials.

Thyroid Ultrasonography Screening of a Cohort of Male University Students

Objective: To assess thyroid ultrasonographic (US) findings from a male cohort of asymptomatic Saudi Arabian university students. Materials and Methods: Sixty-three university students were enrolled in a quantitative prospective study from February 2024 to April 2024. They were conveniently selected, excluding females. A MyLab40 US equipment system was used with a 7 MHz transducer. The thyroid was evaluated with US for size, echotexture, and abnormalities. The chi-square test, correlations, and descriptive statistics were applied for the data analysis. Results: The mean age of the participants was 21.5 ± 1.1 years, and the mean body mass index (BMI) was 27.03 ± 6.6. 95.2% of participants had normal findings; positive findings were found in 4.8 % of the participants. Of these, 1.6 % had multiple nodules, and 3.2 % had signs of thyroiditis. The statistical analysis revealed no significant association between right and left thyroid lobe lengths compared to BMI ( p = .7 right and left 0.3). Moreover, there was no association between the thyroid echo pattern and the BMI ( p = .4). Conclusion: This cohort study concluded that the thyroid US findings were very limited. There was no statistical correlation between the thyroid lobe length, thyroid echo pattern, compared to participants’ BMI.

Intraoperative ultrasound for uterine septum resection: a systematic review and meta-analysis.

Septate uterus is one of the most common uterine malformations. Recent studies suggest that uterine septa may negatively affect fertility. In cases of recurrent pregnancy loss (RPL) or infertility, hysteroscopic metroplasty has been considered the primary treatment for septate uterus. This systematic review and meta-analysis aims to evaluate whether intraoperative ultrasound monitoring may improve the efficacy of hysteroscopic metroplasty compared to other types of intraoperative monitoring or to unguided resections. An electronic database search was performed to identify articles published until June 15, 2023. Five studies (two randomized clinical trials, two prospective studies and one retrospective cohort study) fulfilled the inclusion criteria. The primary outcome was the rate of residual septum > 10mm after hysteroscopic metroplasty in the ultrasound (US) monitoring group compared to the rate of residual septum using other types of intraoperative monitoring/no monitoring (control group). The secondary outcomes were any residual septa, surgical time, complications, uterine perforations and reproductive outcomes. Intraoperative ultrasound for uterine septum resection significantly reduced the rate of residual septum > 10mm and the rate of any residual septa compared to the control group. There was no statistically significant difference in the procedure time between women undergoing intraoperative US monitoring versus the control group. A trend toward reduction of surgical complications was observed in the intraoperative US group compared to the control group. In conclusion, intraoperative ultrasound during metroplasty may reduce the rate of the residual septum with no surgical time differences. Further studies are warranted to understand how this may improve reproductive outcomes.

Breast Implant-Associated Anaplastic Large Cell Lymphoma: A Case Report About a Patient with Cytology Negative for Malignancy

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a rare lymphoma primarily linked to textured breast implants. Symptoms are often non-specific (e.g., breast swelling, pain, or fluid collection). When imaging detects fluid around the implant, cytological examination is the first diagnostic approach. However, this method has limited sensitivity and may yield false-negative results. In this case, a 41-year-old woman presented with swelling, pain, and itching in her left breast six years after bilateral textured breast implant placement. Ultrasonography (US) revealed peri-implant fluid collection around the left implant. A following magnetic resonance imaging (MRI) scan ruled out an implant rupture. Due to persistent pain and the peri-implant effusion on the left side, open surgery was performed. During implant removal, the seroma was drained, and multiple suspicious masses were found on the left side. The cytology of the seroma fluid was negative and intraoperative frozen sections of the excised masses were inconclusive. A complete capsulectomy was conducted due to the suspicion of malignancy. Histological examination ultimately confirmed the diagnosis of BIA-ALCL. This case highlights the diagnostic challenges associated with this rare condition. Therefore, BIA-ALCL should always be considered in the differential diagnosis of breast implant-associated seroma.

Magnetic Field/Ultrasound-Responsive Fe3O4 Microbubbles for Targeted Mechanical/Catalytic Removal of Bacterial Biofilms

Conventional antibiotics are limited by drug resistance, poor penetration, and inadequate targeting in the treatment of bacterial biofilm-associated infections. Microbubble-based ultrasound (US)-responsive drug delivery systems can disrupt biofilm structures and enhance antibiotic penetration through cavitation effects. However, currently developed US-responsive microbubbles still depend on antibiotics and lack targeting capability. In this work, magnetic field/ultrasound (MF/US)-responsive Fe3O4 microbubbles (FMB) were constructed based on Fe3O4 nanoparticles (NPs) with superparamagnetic and peroxidase-like catalytic properties. In vitro experiments demonstrated that FMB can be targeted to methicillin-resistant Staphylococcus aureus (MRSA) biofilms by the direction of MF. Upon US irradiation, FMB collapse due to inertial cavitation and generate mechanical forces to disrupt the structure of MRSA biofilms and releases Fe3O4 NPs, which catalyze the generation of reactive oxygen species (ROS) from H2O2 in the biofilm microenvironment and kill the bacteria within the biofilm. In a mouse biofilm infection model, FMB efficiently destroyed MRSA biofilms grown in subcutaneous catheters with the MF and US. Magnetic-targeted mechanical/catalytic therapy based on FMB provides a promising strategy for effectively combating bacterial biofilm infection.

Analysis of the clinical manifestations and diagnostic process of the pleural effusion associated with constrictive pericarditis

ObjectivesThe primary objective of this study is to analyze the clinical manifestations, diagnostic procedures, and outcomes of patients with pathologically confirmed constrictive pericarditis who presented with bilateral pleural effusions. We aim to outline a stepwise diagnostic approach that could assist clinicians in identifying CP in similar cases.MethodsIn this study, we conducted a retrospective analysis of 19 cases of pathologically confirmed constrictive pericarditis. These patients were admitted to our hospital between January 2019 and December 2022 after pericardial stripping. The collected data included imaging findings, clinical manifestations, pleural effusion characteristics, postoperative pathology, and the diagnostic process.ResultsIn this study, the age of the 19 patients ranged from 25 to 74 years, with a median age of 59 years. All patients presented with bilateral pleural effusions, with or without pericardial lesions such as pericardial effusion or thickening. Pleural effusion biochemistry did not exhibit specific characteristics, and both etiology and pleural pathology were negative. Radiographic examinations, including cardiac ultrasound and chest CT, revealed signs of pericardial thickening and/or pericardial effusion or no abnormalities. Pericardial stripping was performed in all patients, and the postoperative pathology confirmed various degrees of thickened pericarditis, consistent with constrictive pericarditis. During a follow-up period of 6–18 months, most patients (17 out of 19) showed favorable recovery with no recurrence of bilateral pleural effusions.ConclusionThis study emphasizes the importance of pleural effusion as a clinical sign of constrictive pericarditis and highlights that a stepwise diagnostic approach, guided by clinical presentation and imaging, can enhance its recognition, particularly in cases with bilateral pleural effusions.

Optimization and application of renal depth measurement method in the cadmium-zinc-telluride‑based SPECT/CT renal dynamic imaging.

This study aims to evaluate the accuracy of four kidney depth measurement methods-nuclear medicine tomography, nuclear medicine lateral scanning, ultrasound, and Tonnesen's formula-based estimation-using CT measurements as the reference standard. Additionally, it investigates the feasibility of utilizing nuclear medicine tomography and lateral scanning for measuring kidney depth in 99mTc-DTPA renal dynamic imaging. Hollow kidney phantoms mimicking the shape and volume of adult kidneys were 3D printed and filled with 99mTcO4- solution. These phantoms were then subjected to lateral scanning and nuclear medicine tomography using CZT (cadmium-zinc-telluride) SPECT/CT to determine the optimal post-processing method. Forty patients who underwent renal dynamic imaging were recruited for the study. Renal depths were derived from ultrasound, lateral imaging, nuclear medicine tomography, formula-based estimation, and CT measurements. The renal depths obtained through these four methods were for correlation with CT-measured renal depths. Additionally, the absolute differences between renal depths obtained by each method and the CT standard were analyzed and compared across groups. Using kidney phantoms, nuclear medicine tomography images were processed with a Butterworth filter (cutoff frequency = 0.6), and renal outlines in lateral images was manually delineated. In the clinical validation phase, correlation coefficients indicated strong associations between renal depths measured by nuclear medicine tomography (left kidney: R = 0.885, P < 0.05; right kidney: R = 0.927, P < 0.05) and lateral scanning (left kidney: R = 0.933, P < 0.05; right kidney: R = 0.956, P < 0.05) compared to CT measurements. The difference in kidney depth between nuclear medicine tomography and CT measurements were the smallest and statistically significant (left kidney: 0.69 ± 0.51; right kidney: 0.58 ± 0.41, P < 0.05). Using ordered subset expectation maximization (OSEM) in conjunction with a Butterworth filter (fc = 0.6) as the post-processing method, nuclear medicine tomography enables more accurate renal depth measurements without increasing the radiation dose to patients.

Can the affected intestinal segment visualized on abdominal ultrasound predict gastrointestinal tract bleeding in immunoglobulin A vasculitis?

To evaluate immunoglobulin A vasculitis (IgAV) patients with gastrointestinal (GI) tract involvement and to reveal the relationship between the location and extent of the affected intestinal segment detected on the initial abdominal ultrasound (US) and GI tract bleeding. This medical record review study was conducted on 117 IgAV patients with GI tract involvement between January 2016- June 2023. Patients were divided into two groups as those with (n=28) and without (n=89) GI tract bleeding. Predictors of GI tract bleeding were investigated by comparing demographic, clinical characteristics and laboratory findings. Gender, age at diagnosis, symptoms at admission, rash distribution, GI tract complaints, and the elapsed time until the development of GI tract symptoms were similar in both groups. There was no difference between small intestinal, large intestinal or small+large intestinal involvement (p=0.89). The ileum was the most commonly affected intestinal segment in patients with and without GI tract bleeding (p=0.37). Jejunal wall thickening (p=0.04) and the number of affected intestinal segments (p=0.008) were higher in patients with GI tract bleeding. In IgAV patients, jejunum involvement and affected multiple intestinal segments shown by abdominal US are associated with GI tract bleeding.

The correlation between metabolic dysfunction-associated steatotic liver disease (MASLD) grades and hemodynamic alterations of the portal, hepatic, and splenic vein and spleen size.

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is the most prevalent chronic liver condition worldwide, affecting over 25% of the population. Fatty infiltration in MASLD leads to hemodynamic changes in hepatic circulation, which can be quantitatively assessed using Color Doppler Ultrasonography (US). In this study, we aimed to investigate the correlation of Color Doppler US findings of the portal, hepatic, and splenic venous system within various degrees of MASLD. Between 2021 and 2024, 104 patients referred to Mousavi Hospital at Zanjan University of Medical Sciences were enrolled. Participants were divided into four groups based on the degree of hepatic fatty infiltration on biopsy results: normal, grade 1, grade 2, and grade 3, with 26 subjects in each group (13 men and 13 women). All patients were biopsy proved. Gray-scale and Color Doppler US were used to assess portal and splenic vein peak systolic velocity (PSV), portal and splenic vein diameter, hepatic vein waveform, and spleen size. The Spearman rank correlation was employed to evaluate the relationship between these variables under non-parametric conditions. A significant negative correlation was found between portal vein PSV and MASLD grade (r = - 0.499, p = 0.000). A significant difference was also observed in hepatic venous waveform abnormality between different grades of MASLD (p = 0.043). Accordingly, portal vein PSV and splenic vein PSV had a significantly positive correlation (r = 0.209, p = 0.033). We also observed a positive correlation between the portal vein and splenic diameter (r = 0.210, p = 0.032). Increasing MASLD severity is associated with reduced portal vein PSV and more pronounced abnormalities in hepatic vein flow. Routine assessment of portal and hepatic vein flow using Color Doppler US is recommended to accurately diagnose and monitor the effects of MASLD on hepatic circulation, potentially improving disease management and patient outcomes.

Enhancing wound healing through sonodynamic silver/barium titanate heterostructures-loading gelatin/PCL nanodressings.

Bacterial infections present a formidable challenge in surgical procedures, and are a major threat to wound healing. Sonodynamic therapy (SDT) is a non-invasive approach for fighting pathogens; however, it is hindered by the efficiency of sonosensitizers and effective antibacterial time. In this study, we developed a biocompatible nanodressing to improve the antibacterial efficacy and accelerate wound healing via SDT. Silver nanoparticles (NPs) were synthesized on tetragonal barium titanate (BTO) NPs to create an Ag@BTO heterostructure of sonosensitizers to improve their piezocatalytic activities, which were then incorporated into gelatin/polycaprolactone (PCL) to form Ag@BTO-gelatin/PCL nanofiber (ABT-gP NFs) dressings. The loading of Ag@BTO NPs resulted in ABT-gP NFs with better mechanical properties and excellent piezocatalysis, which produced reactive oxygen species and Ag+ to kill bacteria during ultrasound (US) irradiation. Additionally, nanodressing released moderate amounts of silver ions without US, prolonging the antibacterial time, while promoting fibroblast migration. This approach was effective in killing Gram-positive and Gram-negative bacteria (100 % and 90.8 %, respectively), promoting cell migration in vitro and accelerating wound healing without adverse effects in vivo. This study extends the potential applications of ultrasound-triggered nanodressing to the field of wound healing.

Outcome of Ultrasonography-Guided Percutaneous Nephrolithotomy for the Management of Pediatric Urolithiasis.

Objectives: This study aims to assess the outcomes of ultrasonography (US)-guided minimally invasive percutaneous nephrolithotomy (PCNL) in the treatment of pediatric urolithiasis. Methods: A retrospective analysis was conducted on 176 patients with pediatric renal and upper ureteral lithotripsy who underwent PCNL between August 2006 and July 2022. The cohort comprised 110 men and 66 women, with ages ranging from 6 months to 16 years. Postoperative stone clearance was evaluated using kidney, ureter, and bladder radiograph or US, categorizing stones less than 4 mm as clear. Postoperative complications were graded according to the Clavien-Dindo classification, with grades I and II considered minor and III and IV classified as major. Results: Among the patients, 152 underwent unilateral renal operation, whereas 24 underwent bilateral renal operation. The average operation duration was 67.41 minutes (range: 15-195 minutes). The mean duration of nephrostomy tube removal was 3.79 days, and the mean postsurgical hospital stay was 5.97 days. A total of 146 patients experienced a decrease in hemoglobin concentration post operation, with an average drop of 10.57 g/dL (range: 0.5-37.8 g/dL). Initial stone-free rate (SFR) was achieved in 85.5% (171/200) of cases, and the final SFR was 92.50% (185/200). The postoperative rate of minor complications was 8.54% (17/199), whereas major complications occurred in 12.06% (24/199) of cases. During the 6-month to 11-year follow-up period, 19 patients presented with combined stones, and of these 4 presented with ipsilateral stone recurrence who underwent PCNL treatment. Calcium oxalate was identified as the most common stone component. Conclusions: US-guided minimally invasive PCNL demonstrated excellent SFR and an acceptable complication rate in the management of pediatric urolithiasis. Furthermore, it offers the advantage of minimizing potential risks associated with radiation exposure during the procedure.