Atrioventricular Coupling (AV-Coupling) refers to the functional coordination between atrial and ventricular systole and diastole in the heart. Currently, the primary method for evaluating AV-Coupling is through the left atrioventricular coupling index (LACI), measured using imaging techniques. A higher LACI indicates a greater mismatch between the volumes of left atrium and left ventricle at the end of ventricular diastole, reflecting a more significant impairment of left AV-Coupling. AV-Coupling plays a vital role in the pathophysiology and progression of cardiovascular diseases. Therefore, early and accurate assessment of AV-Coupling is essential for evaluating a patient’s condition, guiding clinical decisions, stratifying risk, and determining prognosis. This review aims to summarize the physiological mechanisms and evaluation methods of AV-Coupling, as well as its clinical significance in various cardiovascular diseases.

Recent advancements in medical imaging have greatly enhanced our understanding of tissue structure and disease mechanisms. Habitat imaging, which segments imaging data into distinct spatial subregions or "habitats," offers valuable insights into the heterogeneous nature of tumors, challenging traditional treatment strategies and supporting precision medicine. Super-resolution ultrasound (SRUS) has emerged as a promising tool for habitat imaging by exceeding the diffraction limits of conventional ultrasound, thus enabling visualization of microcirculation at the micron scale. Unlike MRI, CT, and PET, SRUS offers superior resolution in depicting microvascular structures, providing complementary information that enhances our understanding of tissue perfusion and microcirculatory heterogeneity. SRUS-based habitat imaging can delineate vascular habitats with high precision, supporting dynamic analysis and offering potential benefits in oncology, such as assessing tumor aggressiveness and monitoring therapeutic responses. As SRUS technology continues to mature, it is poised to become an integral part of personalized medicine, with future studies focusing on standardizing protocols and validating biomarkers to integrate SRUS into routine clinical practice.

Ultrasound radiogenomics, an emerging field at the intersection of radiology and genomics, employs high-throughput methods to convert radiological images into high-dimensional data, which are then processed to extract and analyze radiomic features. These features, including shape, texture, and intensity variations, are correlated with specific genetic mutations such as TP53 and PIK3CA, critical for cancer progression and treatment response. By integrating clinical data with ultrasonic features, predictive models are developed using machine learning techniques, aiming to refine the capability to diagnose and personalize treatment plans for breast cancer patients. This approach reduces the need for invasive biopsies and medical costs for patients through a better understanding of the tumor’s biological behavior using ultrasound images. This review focuses on the application of ultrasound radiogenomics for predicting gene mutations in breast cancer, highlighting its transformative potential in clinical practice and discussing ongoing challenges and future directions in this field.

Right ventricular-pulmonary artery coupling (RV-PAC) serves as an indicator of the efficiency of energy transfer from the right ventricle to the pulmonary circulation. It plays a critical role in the diagnosis, clinical treatment, and prognosis of conditions such as pulmonary hypertension, heart valve disease, and heart failure. Various non-invasive evaluation methods have recently been proposed for assessing RV contractility and arterial afterload, based on the end-systolic elastance to arterial elastance ratio (Ees/Ea), which is derived from invasive pressure-volume loops. In this review, we summarize the fundamental concepts, physiological mechanisms, examination methods, influencing factors, and clinical significance of RV-PAC to provide a valuable reference for clinical practice.

Since 2020, breast cancer has held the highest incidence rate among cancers worldwide. Breast ultrasound (US) imaging technology plays a crucial role in the early diagnosis and intervention treatment of breast cancer patients. Deep learning (DL), as one of the most powerful machine learning techniques in the field of artificial intelligence (AI), has the ability to automatically select features from raw data, achieving remarkable advancements in breast US imaging. This review focuses on the application of convolutional neural networks (CNNs) within DL technology in the field of breast US. It summarizes the use of DL models in breast cancer screening and in preoperative prediction of molecular subtypes, response to neoadjuvant chemotherapy (NAC), and axillary lymph node (ALN) metastasis status. The review also identifies the data limitations of using CNN models in breast US and describes the development history and current applications of DL in breast cancer screening, diagnostic guidance, and prognostic prediction. Furthermore, it discusses the future research directions and potential challenges. Advancing the development of CNN technology in breast US, and improving the generalizability and reproducibility of these models, will significantly promote their translational application in clinical settings.

Left ventricular-arterial coupling (LVAC) represents a critical physiological mechanism that characterizes the interaction between left ventricular (LV) contractility and the arterial system's resistance and elasticity. The balance within LVAC is essential for efficient energy transfer from the heart, which underpins optimal cardiovascular function. In a healthy state, the balance between LV contractility and arterial elasticity and resistance allows the heart to maintain normal circulation with minimal energy expenditure. However, with the progression of age and diseases such as atherosclerosis and hypertension, arterial stiffness increases, LV function decreases, and the LVAC balance is disrupted, leading to a significantly increased risk of cardiovascular events. This imbalance is particularly significant in patients with heart failure (HF) and coronary artery disease (CAD), where LVAC imbalance is strongly associated with increased cardiac load and decreased energy efficiency. Thus, understanding and evaluating LVAC are crucial for elucidating cardiovascular physiology and guiding therapeutic strategies for diseases such as HF, hypertension, and CAD. Methods for assessing LVAC include invasive pressure-volume loops and cardiac catheterization, as well as non-invasive techniques such as echocardiography and arterial pulse wave analysis (PWA). Despite the higher accuracy of invasive methods, non-invasive methods are commonly used in clinical practice to assess LVAC because of their lower risk. With cardiac magnetic resonance imaging (CMR) and 3D/4D imaging techniques advancing, more precise structural and functional analysis of the heart and arterial system will be possible in the future. In this review, we describe the physiological mechanisms, assessment methods, influencing factors, and clinical significance of LVAC, as well as interdisciplinary studies with biomechanics and metabolism, which provide new ideas for personalized treatment of LVAC.

Left ventricular-arterial coupling (VAC) is essential for understanding both cardiovascular physiology and pathophysiology. Traditionally assessed through invasive techniques, recent advancements have introduced noninvasive methods that employ imaging modalities and physiological parameters to evaluate ventricular pressure, volume, and arterial load characteristics. This review examines commonly used noninvasive VAC assessment methods, including echocardiographic single-beat method, myocardial work, wave intensity, the ratio of pulse wave velocity to global longitudinal strain, and imaging-based pressure-volume loops. These methodologies have demonstrated potential in clinical applications, such as evaluating cardiac function, personalizing treatment plans, monitoring therapeutic effects, and assessing prognosis. The incorporation of advanced imaging and computational techniques is anticipated to further enhance the accuracy and clinical relevance of VAC assessment in the management of cardiovascular diseases.

Arterial stiffness (AS) represents a pathological process characterized by reduced arterial elasticity and compliance, closely linked to aging and cardiovascular diseases, including hypertension, atherosclerosis, diabetes, and chronic kidney disease. As an important predictor of cardiovascular risk, AS evaluation plays a crucial role in early detection, disease monitoring, and therapeutic guidance. This review aims to systematically summarize current advancements in AS evaluation, focusing on non-invasive techniques such as pulse wave velocity, ultrasound-based methods, and arterial pressure waveform analysis. We discuss the advantages, limitations, and clinical applications of these methods, highlighting the recent integration of artificial intelligence and machine learning to enhance diagnostic accuracy and automation. The review also explores emerging biomarkers and novel imaging techniques, such as shear wave elastography and ultrafast ultrasound imaging, which offer promising insights for early AS detection and risk stratification. Despite significant progress, challenges remain in standardizing measurement protocols and improving sensitivity across various populations. Future research directions emphasize the development of wearable technologies, artificial intelligence-based diagnostic tools, and standardized methodologies to advance AS evaluation and improve cardiovascular outcomes.

Lymphoma is a common hematological malignancy with markedly increasing incidence. Its pathological types are complex and heterogeneous, and there are significant differences in treatment options and efficacy. Therefore, early and precise diagnosis, assessment of efficacy, and judgment of prognosis are key clinical problems. Ultrasound (US) has important clinical value in the diagnosis and treatment of lymphoma. This article reviews the progress made with new US technologies in improving the accuracy of diagnosis and staging of lymphoma, predicting the course of lymphoma, monitoring the progression of lesions during treatment, and assisting clinics in formulating accurate and effective treatment plans. In addition, we review the biological basis of US prediction of lymphoma and provide an outlook for future research directions.

Objective Antenatal vaginal bleeding, particularly during the first trimester, is worrisome for obstetricians. The common causes are all types of abortions, including molar and ectopic pregnancies. The aim is to evaluate the obstetric causes of vaginal bleeding during the first trimester.

Methods The study population comprises 100 pregnant women with complaints of vaginal bleeding during their first trimester period. These patients were subjected to ultrasound examination to diagnose the causes of bleeding. Patients with 12 completed weeks of gestation and non-obstetrical causes of vaginal bleeding were excluded.

Results The study population of 18-34 years had complained of vaginal bleeding during their first trimester of pregnancy. Most 57% were in the age group of 20-24 years. Forty-two percent of the study population presented at ten weeks of amenorrhea. Out of 100 cases, the majority (58%) were diagnosed as threatened abortion, 31% cases were diagnosed as incomplete abortion, 4% cases were diagnosed as complete abortion, 2 (2%) cases each were diagnosed as ectopic gestation, inevitable and missed abortions, and 1 (1%) case diagnosed as Hydatidiform mole. Out of 100 patients, the gestational sac was seen in 75 (75%).

Conclusion Antenatal ultrasonography is helpful in accurate and early diagnosis of the causes of vaginal bleeding during the first trimester. This aids the obstetrician in selecting the best treatment planning and helps with prognosis prediction, establishing an accurate diagnosis in a few clinically misdiagnosed cases.

Multiparametric MRI (mpMRI) is currently the standard imaging modality for the diagnosis of prostate cancer; however, studies have reported that targeted biopsy based on mpMRI may miss approximately 30% of clinically significant cases. Recent advances in ultrasound imaging have improved its accuracy for detection of prostate cancer. Newer techniques such as MicroUS, elastography, contrast-enhanced ultrasound (CEUS), and contrast ultrasound dispersion imaging (CUDI) have enabled a comprehensive, real-time, and relatively inexpensive approach to evaluate the prostate gland. Multiparametric ultrasound (mpUS) integrates multiple parameters from these techniques to generate multiparametric maps akin to those produced by mpMRI, to localize prostate cancer. This review aims to explore the performance of modern ultrasound techniques and mpUS for diagnosis of prostate cancer, comparing them with mpMRI.

Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC) characterized by a diameter of less than 10 mm. While its incidence is on the rise, PTMC generally carries a favorable prognosis. Traditional surgical intervention remains the primary treatment method, widely recognized for its effectiveness. However, surgical procedures can lead to postoperative scarring and complications, posing challenges for patients. For some low-risk PTMC cases that exhibit long periods of non-progression, active surveillance has emerged as a viable treatment option. Thermal ablation technology, guided by ultrasound, has demonstrated comparable short-term efficacy to surgery but with smaller incisions and reduced costs, offering a new alternative for PTMC patients. Currently, the management strategies for PTMC exhibit considerable diversity, contributing to ongoing debates in treatment approaches. This paper provides a comprehensive summary and review of the primary therapies available today.

Background Intraplaque neovascularization is a biomarker of vulnerable plaque. However, no data are available whether the increase in neovascularization within carotid plaques is a result of ischemia or an increase in adventitial vasa vasorum (VV).

Objective To evaluate the VV signal in carotid vulnerable plaques.

Methods Contrast-enhanced ultrasound (CEUS) examination was performed to examine changes in VV density in 47 patients with carotid plaque, and 21 patients received CT angiography (CTA) examination to assess the VV signal. In addition, a single-channel flow tissue model was fabricated for use in vitro studies to exclude pseudo-enhancement interferences in the distal wall of arteries by CEUS.

Results The intensities of adventitial VV behind carotid plaque were lower than that of adventitial VV at the same level adjacent to the plaque in both CEUS and CTA examinations (P < 0.05). In vitro study, the intensities of far wall increased as the microbubble concentration increased (P < 0.05). However, no significant differences of intensities of far wall were found between different thicknesses tubes at the concentration of microbubble concentrations of 0.3% and 0.5% (P ≥ 0.05).

Conclusion The formation of intraplaque neovascularization in carotid arteries is associated with the adventitial VV, and ischemia of VV may be a potential mechanism for intraplaque neovascularization.

Alzheimer’s disease (AD) is a common neurodegenerative disease in clinical practice. The pathogenesis is still unclear, and there is no specific method. According to the current known pathological studies, AD biomarker TAU protein, phosphorylated tau and amyloid-β (Aβ) play an important role in the pathophysiological changes of AD. For pathological research, the development of low-intensity ultrasound (LIUS) provides another idea for the mechanism of AD treatment, which can better treat AD, regulate various factors specifically, and effectively treat AD by stimulating synapses and improving neurons. Based on this research background, this paper summarizes the role of AD biomarkers TAU protein, phosphorylated tau and amyloid protein in the occurrence and development of AD and the mechanism of pathological changes in the treatment of AD by low-intensity ultrasound, aiming to provide new insights into clarifying the pathological changes of AD biomarkers and the mechanism of LIUS in the treatment of AD. Given that the treatment for AD based on LIUS is still far from a complete cure, we will discuss the prospects for future development of LIUS to guide the treatment of AD.

Preoperative imaging is crucial for patients diagnosed with renal cell carcinoma presenting with thrombus. These individuals frequently exhibit a hypercoagulable state, raising the risk of thrombus progression or the formation of a new bland thrombus post-imaging and pre-surgery. Intraoperative ultrasound, employed under direct visualization, offers real-time, dynamic detection of thrombi, potentially influencing surgical decisions. This short review explores the utility of intraoperative ultrasound in robot-assisted thrombectomy for renal cell carcinoma, detailing its primary applications and added value in mitigating surgical risks for urologists.

Lymphadenopathy is a common clinical disease, and ultrasonography is its primary preliminary diagnostic screening strategy. With an increase in house-raised pets, the annual incidence of cat scratch lymphadenitis is rising. After infection, the characteristics of the disease include abnormal lymph node enlargement in the local drainage, accompanied by low heat sweats, similar to clinical symptoms of malignant disease. The two-dimensional ultrasound results lack specificity. However, garland-like variation can be observed in the enhanced images, which can be used for the differential diagnosis of cat scratch lymphadenitis. In this case, we obtained the ultrasound and computed tomography images of a patient with cat scratch lymphadenitis and compared and analyzed them with the pathological data.

Stroke is a critical condition marked by the death of brain cells due to inadequate blood flow, necessitating improved predictive models for stroke lesions. The accuracy and flexibility required to forecast and classify stroke lesions is lacking in current approaches, which compromise patient outcomes. To solve these issues, Bille-Viper-Segmentation with the Tandem-MU-Net Model is suggested as a solution for tissue damage detection problems. This study improves blood flow detection in stroke images by introducing the Bille-Viper-Segmentation method to overcome difficulties in recognizing tissue injury. This novel method effectively samples pixel data and analyzes fogging phases related to stroke lesions by utilizing a Deep Luxe Gauging Tree. Existing methods struggle with flexibility in varying conditions; thus, the Trans-Lucent-Rich Reprise Pattern recognition algorithm for precise identification of infected areas is introduced. Furthermore, the Focus View Algorithm is suggested, which incorporates features from infarcted regions to improve early detection of emerging lesions. Furthermore, the Tandem-MU-Net model is used to extract essential morphological features and categorize stroke types, including Hemorrhagic and Acute strokes, through an investigation of their neutral and ionic forms. The results show that the suggested model performs substantially better than existing methods, achieving an amazing accuracy rate of 75%, recall rate of 83%, F1 score of 98%, Dice score of 98%, and precision of 73%, all while operating effectively in a time frame of 250 seconds.

The left ventricle (LV) and right ventricle (RV) are interdependent, as both structures are nestled within the pericardium, share a common septum, and are encircled by interconnected myocardial fibers. Interventricular interaction refers to the dynamic relationship between LV and RV, particularly how changes in one ventricle influence the geometry and function of the other. Imaging, particularly echocardiography, is vital for characterizing interventricular interactions by assessing geometric indices, septal motion, Doppler flow patterns, and changes in strain, remodeling, and diastolic filling associated with the loading conditions of the contralateral ventricle. In this review, we summarized the physiological and anatomical basis of ventricular interaction, echocardiographic imaging indices, and their clinical utilities and limitations. The goal is to systematically review the research advancements in echocardiographic assessment of LV-RV coupling and to provide guidance for clinical practice.

Barium titanate (BaTiO₃), as an emerging inorganic piezoelectric material with excellent piezoelectric catalytic effects, has showing advantages in tumor therapy. To achieve ultrasound-regulated tumor treatment using BaTiO₃, researchers have developed strategies including utilizing BaTiO₃ combined with ultrasound for tumor therapy, enhancing reactive oxygen species (ROS) generation through chemical modification of BaTiO₃, and employing combined therapy with other treatment methods. These strategies provide new insights and approaches for non-invasive and precision treatment of tumors. In this review, we first explain the principle of piezoelectric effect based on BaTiO₃. Subsequently, we introduce the application of BaTiO₃ as a piezoelectric material in tumor therapy and its combined therapy with other treatment modalities in tumor treatment. Finally, we summarize the current status and limitations of BaTiO₃ in ultrasound‐triggered piezoelectric therapy for tumors and propose future prospects.

Objective Biliary atresia is a significant cause of neonatal pathological jaundice, demanding effective interventions such as the Kasai procedure to impede its advancement. Previous research highlights the potential of shear wave elastography for assessing liver fibrosis and the subsequent necessity for liver transplantation following Kasai procedure. This underlines the significance of our study in investigating shear wave elastography as a predictive tool for the success of Kasai procedure in biliary atresia patients.

Methods This retrospective case-control comparative study analyzed data from biliary atresia patients who underwent shear wave elastography ultrasound and the Kasai procedure at our center from 2020 to 2022. Successful Kasai outcomes formed the case group; unsuccessful, the control. We calculated the mean shear wave elastography values for each group and established a predictive Kasai success cut-off using SPSS for statistical analysis.

Results Twenty-one subjects, with 8 males and 13 females (median age: 82 days), were evaluated. Of the 21 subjects, 9 (42.9%) had successful Kasai outcomes, while 12 (57.1%) were unsuccessful. There are statistically different values between two groups, such as the shear wave elastography value (P = 0.001). The optimal cut-off point of shear wave elastography value to predict the success of Kasai procedure is 2.21 m/s or 14.4 kPa (sensitivity 88.9%, specificity 83.3%, accuracy 85.7%, PPV 87.65%, NPV 84.91%), with an AUC of 0.889 (95%CI = 0.75-1.00), OR = 10.50 (1.360-81.053).

Conclusion This study demonstrates shear wave elastography’s potential utility in predicting Kasai procedure success for biliary atresia patients, suggesting its role as a valuable prognostic tool.

Right ventricular-pulmonary arterial coupling refers to the interaction and functional matching between the right ventricle and the pulmonary artery. When the coupling is disrupted, it can lead to a series of cardiovascular diseases, such as pulmonary hypertension, congenital heart disease, heart failure and so on. Therefore, it is important to evaluate cardiovascular structure and function. Cardiac magnetic resonance has the advantage of multi-parameter, multi-sequence, and high-resolution imaging, which can be used to comprehensively evaluate the cardiovascular system through cardiac magnetic resonance feature tracking technology, cardiac magnetic resonance cine imaging technology, T1 mapping, and T2 mapping imaging, and so on. This review summarizes the application and research progress of cardiac magnetic resonance technology in the assessment of the right ventricle and the pulmonary artery (RV-PA) coupling.

Objective: This study aims to assess the performance of the Chat Generative Pre-Trained Transformer (ChatGPT), specifically versions GPT-3.5 and GPT-4, on ultrasonography board-style questions, and subsequently compare it with the performance of third-year radiology residents on the identical set of questions.
Methods: The study, conducted from May 19 to May 30, 2023, utilized a selection of 134 multiple-choice questions sourced from a commercial question bank for American Registry for Diagnostic Medical Sonography (ARDMS) examinations and imported into the ChatGPT model (encompassing GPT-3.5 and GPT-4 versions). ChatGPT’s responses were evaluated overall, by topic, and by GPT version. An identical question set was assigned to three third-year radiology residents, enabling a direct comparison of performances with ChatGPT.
Results: GPT-4 correctly responded to 82.1% of questions (110 of 134), significantly surpassing the performance of GPT-3.5 (P = 0.003), which correctly answered 66.4% of questions (89 of 134). Although GPT-3.5’s performance was statistically indistinguishable from the average performance of the radiology residents (66.7%, 89.3 of 134) (P = 0.969), there was a notable difference in the accuracy in question-answering accuracy between GPT-4 and the residents (P = 0.004).
Conclusions: ChatGPT demonstrated significant competency in responding to ultrasonography board-style questions, with the GPT-4 version markedly surpassing both its predecessor GPT-3.5 and the radiology residents.

Objectives: The incidence of chronic liver diseases in children is increasing worldwide due to congenital, metabolic, autoimmune and viral diseases. Currently, liver biopsy for fibrosis assessment is considered the gold standard. However, this procedure is invasive, may result in unavoidable complications and is prone to sampling errors. These limitations have led to an increasing demand for noninvasive methods for fibrosis screening. Artificial intelligence integration in ultrasound diagnosis of liver fibrosis has gained interest in clinical research. In the current study we used a cloud-based artificial intelligence platform utilizing transfer learning to evaluate the accuracy of B-mode ultrasound based AI model compared to pediatric radiologists in detection of liver fibrosis in a pediatric population.
Methods: For this IRB approved study, charts of 190 pediatric patients who were referred for liver biopsy and ultrasound were reviewed. On average 14 images of different liver areas were selected and a single image per decision was used for both radiologist and AI reads. A supervised machine learning model for image classification was developed using Google Vision AutoML (Google Inc., Mountain View, CA, USA). Data was divided for model development (80% of cases (154 cases) = 2324 images) and a model validation cohort for external testing (20% (36 cases) = 360 images). As a comparator, three blinded radiologists read the ultrasound images of the validation cohort and provided a binary diagnosis of fibrosis versus non fibrotic liver appearance. Tissue sampling was used as the reference standard for all cases.
Results: There were 99 and 91 patients in the biopsy proven fibrosis and non-fibrosis group, respectively. The model’s internal evaluation resulted in precision of 78.2%, recall of 78.5% and average precision of 87.7%. In the external validation cohort, three radiologists (Mean ± Standard Deviation) and Google AutoML (confidence interval (CI)) achieved a sensitivity of 42.04% ± 0.04 and 70.56% (63.32% to 77.10% CI), specificity of 50.18% ± 0.04 and 45.00% (37.59% to 52.58% CI), positive predictive value of 45.76% ± 0.01 and 56.19% (52.17% to 60.14% CI), negative predictive value of 46.39% ± 0.01 and 60.45% (53.65% to 66.86% CI) and accuracy of 46.11% ± 0.01 and 57.78% (52.49% to 62.94% CI). When evaluating agreement across multiple images from the same patient, intra-reader agreement was 77.2% for AutoML and 90.8%-92.5% for the 3 radiologists. The models' F1 scores for the development and validation cohort were 0.78 and 0.62, respectively.
Conclusions: Liver fibrosis assessment in children is challenging without biopsy. An ultrasound-based AI model showed high sensitivity compared to radiologists, albeit still without suitable diagnostic performance for clinical use.

Stroke significantly impacts national health due to its high incidence, disability, mortality, and recurrence rates, resulting in a substantial economic burden. Risk prediction models for ischemic stroke help identify high-risk populations for early prevention, diagnosis, and treatment. Various risk-scoring models have been developed for primary and secondary prevention of ischemic stroke, estimating the probability of cardiovascular events over a specified timeframe based on the presence of known risk factors. However, these risk-scoring models often lack precision for cardiovascular disease risk assessments across diverse baseline risk conditions. Integrating image-based biomarkers into existing risk-prediction models may enhance risk stratification accuracy. This review presents the most used models for ischemic stroke prediction and underscores the clinical utility of biomarkers in the management of ischemic stroke.

A gastric GIST which causes gastroduodenal intussusception is rare. A Pubmed search only identified 21 published cases of gastroduodenal intussusception due to gastric GIST. Only 2 of them mentioned ultrasound without further analysis. Here, we report a case of gastroduodenal intussusception due to a gastric GIST with multiple imaging especially ultrasound. A 72-year-old Chinese woman was admitted to hospital because of epigastric pain, black stool lasting and occasional vomiting for 2 months. She underwent abdominal ultrasound, endoscopy, and contrast enhanced CT in turn. Abdominal ultrasound revealed a hypoechoic, medium-sized lesion beside pancreatic head. Endoscopy showed a submucosal lesion of gastric fundus overlapping into duodenum. The lesion manifested slight enhancement in the arterial phase on enhanced CT scans. The patient underwent laparoscopic exploration and partial gastrectomy. The histological examination revealed a low-risk gastric GIST of spindle-shaped cell type.

Photoacoustic imaging (PAI) is a functional optical imaging modality that utilizes ultrasound as a medium. Owing to its high contrast in optical imaging and deep tissue penetration capabilities inherent in ultrasound, PAI can generate images that integrate both structural and functional information. It has emerged as a novel medical imaging tool, with ongoing research continually expanding its applications within the medical field. The integration of photoacoustic imaging with other modalities to create multimodal imaging systems allows for the synergistic advantages of various technologies, thereby providing more comprehensive diagnostic information. PAI facilitates early and precise diagnosis as well as treatment monitoring for diverse conditions such as tumors, inflammation, and skeletal muscle injuries through real-time quantitative analysis of deoxyhemoglobin levels and molecular markers. This article elucidates the principles of PAI, its various modes of operation, and clinical applications while also anticipating future developmental prospects.

Rheumatoid arthritis (RA) stands as a prevalent chronic autoimmune condition globally. Although conventional disease-modifying antirheumatic drugs (DMARDs) offer relief from systemic inflammation, they frequently entail undesirable side effects. Phototherapy, encompassing both photodynamic therapy (PDT) and sonodynamic therapy (SDT), employs light and low-frequency ultrasound irradiation to generate reactive oxygen species (ROS), thereby inducing apoptosis in RA inflammatory cells and reducing cytokine expression. This approach presents a promising alternative for RA management. Recently, a range of nanomaterials that induce PDT or SDT have been developed, yielding promising outcomes in arthritis suppression. This review outlines the latest advancements in PDT/SDT-based nanomedicine for RA treatment.

The incidence rate of follicular thyroid carcinoma ranks second among thyroid malignancies. Compared to papillary thyroid carcinoma, it has higher rates of recurrence and metastasis, making it a threat to a patient's health. Unfortunately, accurately diagnosing follicular tumors before surgery remains an unresolved issue, as this type of disease is a gray area of fine-needle aspiration biopsy and can be challenging to differentiate clinically from benign thyroid follicular tumors. There are many studies have focused on the preoperative diagnosis of follicular tumors, and much progress has been made. However, according to current research, postoperative biopsies are still the only definitive ways to diagnose follicular thyroid carcinoma, providing evidence of capsule and vascular infiltration. We must emphasize the importance of early detection and diagnosis of follicular thyroid carcinoma to ensure effective treatment and recovery. This review provides a comprehensive summary of the literature on follicular thyroid carcinoma, including its epidemiology, clinical features, imaging diagnosis, genetic and molecular testing of thyroid follicular carcinoma, and a detailed description of the preoperative diagnosis of follicular thyroid carcinoma. We urge medical professionals to use this information to improve their understanding of this disease and enhance their ability to accurately diagnose and treat it.

Heart transplantation (HT) is a definitive treatment for end-stage heart failure, significantly improving both the quality of life and survival rates of HT recipients (HTx). Speckle tracking echocardiography (STE), a key non-invasive diagnostic method, has become indispensable for providing an in-depth analysis of myocardial mechanics and function. This review focuses on the clinical utility of STE in both pre- and post-transplant settings. The ability of STE to identify subtle cardiac abnormalities and predict post-transplant outcomes underscores its critical role in the clinical management of HTx.

Objective: Simple hepatic steatosis can no longer be ignored as a "benign finding", and the management and evaluation of the clinical interventions depend on the degree of hepatic steatosis. Here, we aimed to investigate the feasibility and diagnostic performance of thermoacoustic imaging (TAI) for assessing hepatic steatosis grades in a rabbit model.

Methods: High-fat diet was used for the rabbits. To collect various degrees of hepatic steatosis, the diet duration was different (4, 8, 12, 16, 20, and 24 weeks). An in-vivo liver TAI imaging system was developed. At the end of the feed point, rabbits underwent the TAI and laparotomy for liver histopathology.

Results: We performed TAI and histopathologic examinations for 33 rabbits developing none (n = 4), mild (n = 16), moderate (n = 6), and severe (n = 7) steatosis with/without hepatic fibrosis. A strong correlation was found between the thermoacoustic fat coefficient (TAFC) derived from TAI and liver fat percentage (Pearson correlation coefficient, 0.865; P < 0.001). Besides, TAFC showed significant differences between the consecutive grades of steatosis. TAI potentially provided a good diagnostic performance, with 83% sensitivity and 100% specificity for mild steatosis, 92% sensitivity and 95% specificity for moderated steatosis, and 100% sensitivity and 92% specificity for severe steatosis. The fibrosis stage did not significantly affect the TAFC.

Conclusion: Our findings demonstrate that TAI is a promising way to evaluate hepatic steatosis grades.

Cervical cancer is a common gynecologic malignancy worldwide, ranking fourth for both incidence and mortality. Imaging and pathology assessments are incorporated in the revised 2018 International Federation of Gynecology and Obstetrics staging system for cervical cancer. The use of imaging techniques for pre-operative evaluation of cervical cancer has been increasing. Among imaging modalities for evaluating cervical cancer, ultrasound is more easily accessible, faster and more widely available than other options such as computed tomography or magnetic resonance imaging. Advanced technique in ultrasound, such as three-dimension ultrasound and contrast-enhanced ultrasound, have improved the clinical application of ultrasound in cervical cancer. Ultrasound may provide highly accurate information on detecting tumor presence and assessing local extent if performed by well-trained sonographers, as the experience level of readers is also critical for correct pre-operative staging and evaluation of treatment response. In the future, ultrasound imaging with the assistance of artificial intelligence will play an even greater role in management. This review aims to present the most updated applications of ultrasound in the pre-operative evaluation of cervical cancer.

Infectious complications are common postoperative issues after thermal ablation of liver tumors, including liver abscess, biliary tract infection, sepsis, which can significantly impact patient prognosis. Common pathogens associated with these infections include Escherichia coli, Enterococcus, Klebsiella pneumoniae, Staphylococcus aureus. Diagnosing infectious complications after ablation requires an integrated approach, combining clinical manifestations, laboratory tests, and imaging examinations. Notably, specific imaging findings may help identify liver abscess, biliary tract infection and infection secondary to gastrointestinal perforation. Risk factors for post-ablation infection include a history of biliary interventions or dysfunction of the sphincter of Oddi, prior arterial chemoembolization or transarterial radioembolization, and ablation performed at anatomically challenging sites. For high-risk patients, appropriate preventive measures should be implemented. Treatment typically involves antibiotics and catheter drainage, with commonly used antibiotics including penicillins, cephalosporins, quinolones, metronidazole. Understanding the diagnosis, risk factors, prevention, and treatment strategies for post-ablation infections is critical for optimizing patient outcomes. This review aims to summarize the current literature on infections after thermal ablation of liver tumors, detailing the common infection sites, pathogens, diagnostic approaches, prevention strategies, and treatment methods. Additionally, it explores the potential mechanisms underlying infection development after ablation.

Purpose: Early diagnosis and treatment of non-alcoholic fatty pancreatic disease (NAFPD) can effectively intervene in the development of type 2 diabetes. This study aimed to evaluate the utility of an improved ultrasound method for diagnosing NAFPD.

Methods: All patients underwent abdominal ultrasonography (US) and magnetic resonance imaging (MRI) mDixon-Quant technique. Patients with a pancreatic fat fraction (PFF) > 6.2% were in the NAFPD group (NA) and the rest were in the normal group (NC). MRI mDixon-Quant technique was used to evaluate the diagnostic efficiency of NAFPD with improved ultrasound diagnosis.

Results: This study included 46 participants. The MRI mDixon-Quant had good repeatability and reproducibility in measuring PFF. The kappa value of the improved version ultrasound (IVUS) method and MRI diagnosis was 0.760 (95% confidence interval [CI] = 0.662-0.858, P < 0.001). That of traditional version ultrasound (TVUS) and MRI diagnosis was 0.497 (P < 0.001). Statistical analyses revealed that pancreatic grading based on both ultrasound evaluation methods correlated with PFF, with IVUS (R² = 0.812) superior to TVUS (R² = 0.496). Body weight, body mass index, triglyceride level, abdominal circumference, abdominal visceral fat, total abdominal fat, abdominal visceral fat area, and liver fat content were significantly higher in the NA versus NC group (P < 0.05). Fat fractions of the pancreatic head, body, and tail in the NA group were significantly higher than those in the NC group (P < 0.05).

Conclusion: IVUS more consistently predicts NAFPD and correlates better with MRI than TVUS.

Objective: This study investigates the correlation between early B-type natriuretic peptide (BNP) levels and ultrasound hemodynamics following liver transplantation, with the aim of evaluating short-term prognosis.

Methods: We analyzed data from 924 patients who underwent liver transplantation between December 2012 and October 2022. Ustilizing the clinical liver transplantation ultrasound imaging database software V1.0 developed by Tianjin First Central Hospital, we recorded various ultrasonic dynamic parameters, including peak systolic velocity (PSV), end-diastolic velocity (EDV), peak systolic/diastolic flow velocity (S/D), resistance index (RI), pulsatility index (PI), and portal vein velocity (PVV). Additionally, BNP values were recorded within 24 hours post-surgery. We analyzed the correlation between ultrasound blood flow parameters and BNP levels. Patients were categorized into death and survival groups based on their prognosis at 3 months, and differences in blood flow parameters were compared between these groups. Furthermore, short-term prognosis was assessed based on blood flow parameters associated with diastolic blood flow.

Results: Negative correlations were observed between BNP and the resistance index (RI) and pulsatility index (PI) on the first day after surgery (r = -0.473, r = -0.602, both P < 0.05). Similar correlations were found on the fifth day post-surgery (r = -0.406, r = -0.518, both P < 0.05). Additionally, peak systolic velocity (PSV), end diastolic velocity (EDV), and BNP levels were significantly higher in the death group compared to the survival group on both the first and fifth days after surgery (all P < 0.05), while RI and PI were lower in the death group (both P < 0.05). The systolic/diastolic (S/D) ratio in the death group was also lower than that in the survival group on the first and fifth days post-surgery (both P = 0.001). Furthermore, the presence of early diastolic blood flow after surgery was not associated with short-term prognosis in either group (both P > 0.05).

Conclusion: Early BNP levels correlate with ultrasound blood flow parameters following liver transplantation, providing a foundation for evaluating cirrhotic cardiomyopathy. Patients with a poor short-term prognosis exhibit elevated BNP levels, altered dynamic circulation, and low-resistance blood flow

Objective: To investigate the ultrasonographic characteristics and outcomes of fetal umbilical-portal-systemic venous shunts (UPSVS).

Methods: UPSVS cases at a single center between January 2015 and December 2022 were retrospectively investigated. The ultrasonographic features, types, and postnatal outcomes of fetal UPSVS were analyzed and the outcomes were followed up on. The study was approved by our institutional review board (Approval Number KY2021130).

Results: Forty UPSVS cases, including 4 Type I, 18 Type II, and 18 Type III (16 with IIIa and 2 with IIIb) were identified. Two Type I cases were terminated because of the complete absence of the portal venous (PV) system. Genetic assessment revealed that one patient with Type I had a q22.11 deletion in trisomy 21. Type II is characterized by structural malformations, particularly cardiovascular abnormalities. Couples opted for pregnancy termination in four cases of Type II. The most common anomaly in Type III shunts was cardiac enlargement, followed by fetal growth restriction. Pregnancy was terminated in six cases of Type IIIa as requested by the couples, one resulting from premature birth, and two because of the completely absent PV system. Genetic tests showed that trisomy X had a microduplication in one patient. The shunt spontaneously closed after birth in all Type IIIa cases.

Conclusions: Prenatal diagnosis of UPSVS using ultrasonography is feasible and valuable for perinatal management and prenatal consultation. The fetal postnatal prognosis is determined by the presence of anomalies in the PV system, genetics, or structure.

Objective: Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease with a high incidence worldwide, and its incidence is increasing year by year. Plasma atherogenic Index (AIP) is used to assess the risk of cardiovascular disease and metabolic dysfunction, and albumin to glutamyltransferase ratio (AGR) is often used to assess liver function, nutritional status, and immune system diseases. This study aimed to assess the association of AIP, AGR and non-alcoholic fatty liver disease and to establish a practical and cost-effective prediction model.

Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from March 2017 to March 2020, residents 18 years of age and older with complete demographic, laboratory, and instantaneous elastography test data were included. SPSS 27.0 and R 4.4.0 were used to analyze the data, single-factor Logistic regression analysis was applied to screen the influencing factors of NAFLD, stepwise regression was applied to screen the variables, and multi-factor Logistic regression was performed to construct the prediction model and draw the column graph.

Results: AIP (OR = 3.549, 95% CI: 1.876-6.712) was a risk factor for NAFLD, and AGR (OR = 0.782, 95% CI: 0.655-0.934) was a protective factor for NAFLD. The calibration curve of NAFLD was stable, and the ROC curve AUC was 0.859.

Conclusion: AIP is an independent risk factor for NFLAD. AGR is an independent protective factor for NAFLD

Glomus tumor is a benign, subcutaneous neoplasm that typically arises in regions abundant in glomus bodies, manifesting as a painful nodule. Currently, perineal glomus tumors are rarely reported in the literature. Herein, we present a unique case of glomus tumor originating in the perineal region. Ultrasound examination revealed a heterogeneous mass within the subcutaneous soft tissue layer of the vulva, featuring a distinct boundary and peripheral blood flow signals. The ultrasound contrast imaging of this mass demonstrated rapid peripheral ring enhancement during the arterial phase, followed by a gradual inward perfusion from the periphery towards the center of the nodule-like or branching-like structure, exhibiting concentric enhancement. The internal portion of the nodule showed low enhancement, which progressively diminished during the venous and delayed phases. Subsequently, an ultrasound-guided biopsy confirmed the diagnosis of glomus tumor, and the patient underwent successful surgical treatment.

In the last twenty years, there were less than 10 cases of umbilical arteriovenous malformations have been reported, which usually had single complication, included mild cardiac dilatation, pulmonary hypertension, hemorrhagic shock, and hepatic damage. Unlike previous cases, we report a case of neonate multiple organ failure caused by umbilical arteriovenous malformation complicated with portosystemic shunt, which was diagnosed by ultrasound and arteriography. We provide a new insight that umbilical arteriovenous malformation and portosystemic shunt should be considered in neonates with unexplained multiple organ failure, for researching the cause of neonate multiple organ failure, especially in those with right heart overload, hyperammonemia, and liver dysfunction. A targeted and comprehensive Dopler ultrasound can make a definitive diagnosis as soon as possible.

Tietze syndrome which refers to painful non-purulent inflammation of the costal cartilage or sternoclavicular joint is a rare disease that is poorly reported. We report a case of Tietze syndrome in a 52-year-old female with sternoclavicular joint pain and chest wall mass post-COVID-19 virus infection. She suffered pain and swelling in the left sternoclavicular joint, which were relieved after hot compress. This case is the first report on Tietze syndrome post-COVID-19 virus infection in China. We report this case to improve our understanding of this disease and discuss possible mechanism from the perspective of embryology and pathology.