Objective: To investigate the best combined method of S-Detect, a computer-aided diagnosis (CAD) system, with breast ultrasound (US) according to radiologists’ experience.

Methods: From March 2019 to June 2019, 259 breast masses in 255 women were included in this study. Ultrasonographic images of the target masses were prospectively analyzed by radiologists and CAD. Three combined methods, including method 1 [selective downgrading combination for Breast Imaging Reporting and Data System (BI-RADS) 4a lesions], method 2 (selective upgrading combination for BI-RADS 3 lesions) and method 3 (selective upgrading or downgrading combination for BI-RADS 3 or 4a lesions), were applied to interpret the CAD results. The sensitivity, specificity, the area under the receiver operating characteristic curve (AUC) of experienced or inexperienced radiologists before and after adding CAD results were compared using the histopathological results as a reference standard.

Results: In identifying breast malignancy, the AUC for CAD was similar to that of experienced radiologists (P= 0.410), but higher than that of inexperienced radiologists (P= 0.003). When combining CAD with experienced radiologists based on method 1 and combining CAD results with inexperienced radiologists based on method 3, the AUCs were significantly improved (P= 0.024 and 0.003, respectively) compared to US alone, with significantly increased specificity (P< 0.001 for both) and no significantly decreased sensitivity (P> 0.05 for both).

Conclusion: The combination of CAD system and conventional ultrasound can improve ultrasound diagnostic performance in determining breast malignancy. The method 1 and method 3 combinations are respectively recommended for experienced and inexperienced radiologists when CAD is combined with conventional breast ultrasound.

Undifferentiated embryonal sarcoma of the liver (UESL) is an aggressive mesenchymal tumor, which presents a low incidence in adults. The low morbidity and atypical clinical manifestations conduce to difficulty in preoperative diagnosis. Imaging manifestations of this tumor is important for its identification. Contrast-enhanced ultrasound (CEUS) was a promising tool to characterize hepatic lesions and proved to have high diagnostic accuracy. The present study reported the CEUS characteristics of UESL in two adult patients, which exhibited peripheral rim hyper-enhancement along with progressively centripetal enhancement and large areas of perfusion defection. Sonographers should be fully aware of this rare disease for better differential diagnosis.

Objective: To investigate the accuracy of contrast-enhanced ultrasound (CEUS) in the diagnosis and localization of active needle-tract bleeding (ANTB) during thermal ablation for liver cancer.

Methods: Between June 2013 and December 2018, liver cancer patients with poor coagulation function or suspected needle-tract bleeding during ablation were enrolled in the study. Conventional US and CEUS were applied to detect ANTB and the bleeding sites, and sequentially abdominal paracentesis drainage (APD) was used as the gold standard for the diagnosis of ANTB. Thermal ablation guided by conventional US or CEUS was used to stop the bleeding.

Results: Among the 77 enrolled patients, 21 patients (27.3%, 21/77) had ANTB. In total, four (19.0%) and 21 (100%) cases of ANTB were diagnosed by colour Doppler US and CEUS, respectively. The sensitivity, specificity and accuracy of colour Doppler US for diagnosing ANTB were 19.0%, 100% and 77.6%, respectively. The sensitivity, specificity, and accuracy of CEUS for diagnosing ANTB were 100%, 100% and 100%, respectively. The sensitivity of CEUS to diagnose ANTB was significantly higher than that of colour Doppler US (P < 0.001). All cases of ANTB were arterial bleeding and were stopped by thermal ablation under the guidance of colour Doppler US or CEUS.

Conclusion: Compared to colour Doppler US, CEUS could detect ANTB with significantly higher sensitivity and accurately guide needle-tract ablation during thermal ablation of liver cancer.

Contrast-enhanced ultrasound (CEUS) is an imaging modality that has achieved considerable relevance in various clinical settings including the assessment of renal disease. CEUS is performed by injecting microbubble-based ultrasound contrast agents (UCAs) that create signals to display the microvasculature, allowing quantitative and qualitative assessment of parenchymal perfusion and real-time visualization of the renal anatomy. In recent years, CEUS has been widely accepted and applied for the assessment of kidney perfusion and the characterization of indeterminate renal masses, primarily due to its diagnostic efficacy, availability, low cost, reproducibility, and absence of nephrotoxicity. CEUS provides a higher spatial and temporal resolution than other cross-sectional imaging, resulting in high sensitivity and specificity for its applications in a variety of renal conditions including cancer monitoring following ablation, detection of transplant complications, hypoperfusion, acute traumatic injury, renal artery stenosis, parenchymal infection, and kidney intervention guidance. Additionally, the continuous investigation and development of new technologies surrounding this imaging technique have shown encouraging preliminary results for the use of CEUS in the evaluation of molecular expression in several disease processes, the dynamic analysis of blood flow kinetics, and the implementation of super-resolution imaging systems. The purpose of this article is to provide an overview of the current and potential clinical applications of renal CEUS.

Uterine artery pseudoaneurysm is a rare complication associated with obstetric or gynecological procedures. We described a case report of a primigravid, underwent cesarean section who evolved with massive, intermittent vaginal bleeding requiring multiple blood transfusions. The diagnosis of uterine artery pseudoaneurysm was suspected on transvaginal Doppler ultrasound and confirmed on computed tomography angiography. Due to the patient's stability, age and undefined offspring, superselective uterine artery embolization was chosen for treatment and the procedure successfully performed.

Thyroid metastatic tumors are a series of rare clinical disease with an incidence of approximately 1.4-3%, of which metastatic tumor from the digestive system is even rarer. Thyroid metastatic tumor from the digestive system is characterized by a rapid growth tumor with high invasiveness and poor prognosis. Ultrasound (US) and contrast-enhanced ultrasound (CEUS) could provide more information for making diagnosis, determining lesion range, and offering biopsy guidance. Ultrasound-guided core needle biopsy (CNB) should be used instead of fine needle aspiration (FNA) to confirm the pathological diagnosis. Here, we report two cases of thyroid metastatic tumor from the digestive system. By describing these cases, we aimed to assess the clinical value of conventional US and CEUS in the diagnosis and treatment of these tumors.

Objective: In the present study, we aimed to evaluate the diagnostic performance of superb microvascular imaging (SMI) for breast masses through a meta-analysis.

Methods: PubMed, EMBASE, Cochrane Library, and Web of Science Core Collection databases, as well as the most comprehensive Chinese academic databases in medicine, such as China Biology Medicine Disc, China National Knowledge Infrastructure, and Wanfang Database, were systematically searched. All included studies used histopathological results as the reference standard. To assess the diagnostic performance, we calculated the pooled sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR), and the area under the curve (AUC). In addition, a subgroup meta-regression analysis was performed to investigate the heterogeneity.

Results: Fourteen of 1,075 identified articles were included in the current review. The pooled sensitivity, specificity, LR+, LR-, and DOR for SMI were 0.85 (95% CI: 0.79-0.89), 0.80 (95% CI: 0.71-0.87), 4.3 (95% CI: 2.9-6.2), 0.19 (95% CI 0.14-0.26), and 22 (95% CI: 14-36), respectively. The AUC was 0.90 (0.87 - 0.92). Meta-regression showed that there were heterogeneities for sensitivity, but not for specificity.

Conclusions: SMI had good sensitivity, specificity, and excellent diagnostic value in distinguishing benign breast masses from malignant masses and could potentially help select suspicious breast masses for surgery.

The cholinergic anti-inflammatory pathway is a neuro-immune regulatory pathway that mediates anti-inflammatory effects based on the vagus nerve, acetylcholine and α7 nicotinic acetylcholine receptors. In recent years, the effect of nerve stimulation by ultrasound has attracted much attention and has been widely studied. Ultrasound can stimulate the vagus nerve or spleen nerve and activate the cholinergic anti-inflammatory pathway, exerting anti-inflammatory and organ protection effects, which is expected to provide a new treatment for many inflammatory diseases. The purpose of this review is to introduce the composition, mechanisms and regulation methods of cholinergic anti-inflammatory pathway, and discuss its therapeutic implications.

Interventional ultrasound (IUS) is an important branch of modern minimally invasive medicine that has been widely applied in clinical practice due to its unique techniques and advantages. As a relatively emerging field, IUS has progressed towards standardization, precision, intelligence, and cutting-edge directions alone with more than 40 years of development, which is becoming increasingly important techniques in clinical medicine. This article will briefly review the development and advancement of IUS for diagnosis and treatment in China in the era of precision medicine from the aspects of artificial intelligence, virtual navigation, molecular imaging, and nanotechnology.

The exploration of human brain function has always been a research hotspot in the field of neuroscience. The concept of a neurovascular unit suggests that cerebral microcirculation can be used as a reliable signal to reflect neural function. Accordingly, functional imaging techniques based on the neurovascular unit are very promising because of their ability to reveal neurovascular coupling and evaluate the functional rehabilitation of cerebrovascular diseases represented by stroke. In the present review, we first describe the role of the neurovascular unit in the injury and repair processes after stroke. We then briefly introduce the relative characteristics and advantages of representative neurovascular unit-based functional imaging. Finally, we summarized the value of these techniques in the evaluation of neural networks after stroke.

Objective: CT-based Bosniak classification system has been routinely used to assess complex renal cystic lesions and also been applied to contrast-enhanced magnetic resonance imaging (CEMRI) and contrast-enhanced ultrasound (CEUS). Besides, the 2019 new version incorporated MRI into the Bosniak system. However, the role of US in the Bosniak system has not been clearly established. The aim of this study was to compare the diagnostic ability of CEUS, CECT and CEMRI for renal cystic lesions based on the current Bosniak classification.

Methods: Related studies were searched in PubMed, EMBASE, and the Cochrane Library databases from January 1, 2010 to December 14, 2020. QUADAS-2 was used to assess the study quality. Meta-analysis was performed by “midas modules” of Stata SE 15.0 software. The bivariate mixed-effect model was used. The pooled sensitivity and specificity of these three modalities were calculated and compared. Meta-regression and subgroup analyses were conducted to reveal the source of heterogeneity.

Results: CEUS showed highest pooled sensitivity and specificity, which were 98% (95% CI: 91%, 100%) and 80% (95% CI: 64%, 90%) respectively. Pooled estimates of CEMRI were slightly lower than those of CECT with the sensitivity 85% (95% CI: 77%, 91%) versus 88% (95% CI: 77%, 94%) and specificity 71% (95% CI: 52%, 85%) versus 79% (95% CI: 70%, 86%), respectively.

Conclusions: Based on the current Bosniak classification, CEUS seemed superior to CECT and CEMRI for the diagnosis of complex renal cystic masses, and could serve as a valuable alternative for CECT and CEMRI.

Objective: Transient tachypnea of newborn (TTN) and respiratory distress syndrome (RDS) are the most common causes of respiratory distress among preterm neonates. The aim of this study was to evaluate the accuracy of lung ultrasonography (LUS) for diagnosing and differentiating TTN and RDS in preterm neonates.

Methods: This was a prospective single center study. From January 2020 to June 2021 a total of 114 preterm neonates who were admitted to neonatal intensive care unit (NICU) with symptoms of respiratory distress within 6 hours of birth were subjected to clinical examination, laboratory testing, chest x-ray (AP and lateral view’s) and LUS. Their clinical course was closely monitored. On the basis of final diagnosis made on day three of admission they were divided into two groups, 37 diagnosed with TTN and 61 with RDS. Patients diagnosed with other conditions including neonatal pneumonia, meconium aspiration syndrome etc. were excluded from analysis. LUS findings in RDS and TTN were analyzed and compared to each other.

Results: Pulmonary edema manifesting as alveolo-interstitial syndrome, double lung point and less commonly as white out lungs in absence of consolidation had a 100% sensitivity and specificity in diagnosing TTN. A combination of three signs of consolidation with air or fluid bronchograms, white out lungs and absent spared areas has a 100% sensitivity and specificity for diagnosing RDS. Double lung point was seen only in infants suffering from TTN while consolidation with air or fluid bronchograms was only seen in cases of RDS.

Conclusion: Lung ultrasound can accurately diagnose and reliably differentiate TTN and RDS in preterm neonates. Hence LUS can become an initial screening tool in NICU.

Objective: In this paper, we retrospectively analyzed the ultrasonographic features of paratesticular leiomyoma to help doctors correctly diagnose the disease before operation and guide surgical treatment.

Methods: From 2013 to 2020, 16 cases of paratesticular leiomyomas confirmed by pathology in our hospital were retrospectively analyzed. The retrospective analysis included the ultrasound and color Doppler flow imaging (CDFI) of paratesticular leiomyoma which were evaluated by two experienced radiologists based on the features of ultrasound images of lesions.

Results: All the 16 paratesticular leiomyoma presented as hypoechoic masses with a clear boundary and round shape. The echotexture of 6 large leiomyomas showed a typical vortex appearance. In the remaining 10 small leiomyomas, thin cord-like hyper-echogenic appearance was found. Color Doppler flow imaging showed that the blood flow signal within a large leiomyoma mass (n = 1) was significantly higher than that of surrounding testis while the blood flow signals of the smaller leiomyomas (n = 5) had significantly less flow signals compared with the testis. The remaining leiomyoma masses (n = 10) had similar flow signals to the testicular blood flow.

Conclusion: Sonography can be used to detect testicular tumors and to differentiate extratesticular from intratesticular masses. The ultrasound features of paratesticular leiomyoma included hypo- and hyperechoic mass, a round or typical vortex shape as well as various vascularity based on the size of the tumors.

Pancreaticoduodenal pseudoaneurysm, accounting for only 2% of visceral aneurysms, is a rare but fatal clinical entity. It is a common complication associated with chronic pancreatitis. We here present a case of a 63-year-old Chinese man, who was diagnosed with pancreaticoduodenal pseudoaneurysm by ultrasound and CT. His past medical history was unremarkable, and no obvious cause of the disease could be found. The patient was treated successfully with endovascular embolization using microcoils with no clinical complications.

The anomalous origin of the left main coronary artery from the right sinus of the Valsalva (ALCA) is rare, and varies significantly in congenital heart disease. Patients are usually asymptomatic, and in most cases, coronary abnormalities are discovered by chance at autopsy after coronary angiography or sudden cardiac death. As a routine physical examination procedure, echocardiography is particularly important for the rapid and sensitive diagnosis of ALCA. We report a case of ALCA using echocardiography. “Seagull sign” is a direct ALCA sign manifesting on the short axis section of the artery with two vessels coming from the right coronary sinus. Based on this case, we propose this specific ultrasound sign as a way to improve the diagnostic rate.

Lymphoepithelioma-like cholangiocarcinoma (LEL-CC) is an intrahepatic cholangiocarcinoma with a prominent lymphoid infiltrate. According to previous reports, most LEL-CCs are a single lesion with a notably better prognosis compared to typical liver cancers. However, most literature reported pathological features and lacked imaging features, especially that of ultrasound. We report on a 74-year-old female with LEL-CC presented with headache and malaise for six months. We performed superficial ultrasonography, abdominal ultrasonography, hepatic contrast-enhanced ultrasound, positron emission tomography-computed tomography, and ultrasound-guided biopsy. We definitively diagnosed LEL-CC with multiple metastases in the liver, skeleton, and lymph nodes.

This article provides a review of pathology, clinical features, imaging diagnosis and treatment of lipomatosis of nerve (LN), aiming to improve the comprehensive understanding of the disease and achieve early diagnosis and treatment. By searching for the relevant literature, we systematically summarized the pathology, clinical features, imaging diagnosis and treatment of LN in peripheral nerve. Lipomatosis of nerve is a rare benign tumor-like lesion in the peripheral nerve. LN can present primarily as painless neoplasm, macrodactyly, or neurological dysfunction. Magnetic resonance imaging and ultrasonography are commonly used imaging methods before operation, which can characterize and locate the scope of the disease. There are few ultrasonographic studies on LN of peripheral nerve, mostly in the form of case report or small sample analysis. Treatment of lipomatosis of nerve varies with clinical symptoms and lacks consensus. Although LN is benign lesion, it can be invasive, progressive, and recurrent. It is very important to understand the problems of neurological dysfunction caused by LN. More studies are needed to provide more detailed imaging information for clinicians and to achieve the effective treatment.

Objective: Heavy metal pollution has become one of the environmental contamination problems in today's world. Adsorption materials can effectively remove heavy metal ions from the water. There are some shortcomings for traditional adsorbents, such as difficult separation after adsorption, long separation time, and may cause secondary pollution in the environment without recycling. The aim of this study was to seek new materials with effective ways to absorb heavy metal ions in the water.

Methods: A new kind of adsorption material consisted of polylactic acid (PLA) microbubble and graphene oxide (GO) (i.e., PLA@GO microbubbles) was fabricated which can combine by electrostatic adsorption with the assistance of PAH. The influence of the initial concentration of heavy metal of lead ion, pH value, and absorption time on the adsorption effect of PLA@GO microbubbles was tested in this study.

Results: Graphene oxide modified on PLA microbubble has huge specific surface area and various functional groups, which can adsorb heavy metal ions in water. The resulting PLA@GO microbubble showed a homogeneous spherical structure with a size of 500-1.5 μm, which was suitable for its effective separation from water. The optimal dosage of PLA@GO microbubbles was 10 mg, the pH value of the solution was 5.0, and the adsorption time was 20 minutes which correlates to 75 mg/L of leadions.

Conclusion: The characteristics of the PLA@GO microbubbles showed a strong adsorption capacity, high adsorption efficiency, and a shorter balance time which provided an environment-friendly new material to remove heavy metal ions from water.

Appendiceal mucocele is a rare disease. Sometimes it is discovered accidentally and sometimes it resembles acute appendicitis. The incidence is 0.2% to 0.7% of all appendectomies specimens. A case report of A 35-year female presented to the emergency room with a history of progressively increasing abdominal pain on and off for 3 months. Tenderness in the right lower quadrant of the abdomen was noted with a palpable mass in the right iliac fossa. An abdominal ultrasound examination was performed, and the patient was found to have an Appendicular mucocele-onion peel sign (sonographic layering within a cystic mass). The patient underwent surgery, and the diagnosis was confirmed by the histopathological report. If mucocele is treated incorrectly, pseudomyxoma peritonei which is characterized by a malignant process may develop. The term mucocele is widely used in diagnosing both benign and malignant lesions.

Atherosclerosis (AS) is the main pathophysiological process behind CVD. Cardiovascular diseases caused by AS (such as stroke, coronary heart disease, etc.) are characterized by a high prevalence, high disability rate and high mortality, which greatly increase the burden on families and society. Thus, it is important to find AS as early as possible. When atherosclerosis occurs, the earliest sign of its structural and functional changes is arterial stiffness, and endothelial dysfunction is the key link. Arteriosclerosis is caused by the imbalance between collagen and elastin in the arteries. Elastin fibers gradually decrease, and stiffer collagen fibers increase, making the vessels less elastic. Endothelial dysfunction also affects the regulatory function of arterial vascular tension, and accelerates the remodeling of the vascular wall, to make blood vessels more rigid. Quantitative measurement of arterial stiffness and carotid intima-media thickness (CIMT) is an important tool for early detection of vascular lesions. At present, ultrasound technology including echo tracking (ET), wave intensity (WI), real-time shear wave elastography (SWE), ultrafast pulse wave velocity (ufPWV), shear wave dispersion (SWD), cardio-ankle vascular index (CAVI), arterial velocity pulse index and arterial pressure volume index (AVI and API) has the advantages of being noninvasive, real-time, economical and reproducible in the assessment of atherosclerosis, and is widely used in the early diagnosis of AS. Most importantly, the change in arterial hardness detected by traditional ultrasound technology precedes the change in intima-media thickness, suggesting that ultrasonic elasticity monitoring may be a more sensitive method of predicting AS and can find and prevent cardiovascular diseases earlier.

Objective: To evaluate and compare the diagnostic performance of B-mode ultrasound (B-mode US), strain elastography (SE), color Doppler ultrasound (color Doppler US) and the combination of these modalities in differentiation between fibroadenomas and phyllodes tumors.

Methods: This retrospective study included 220 breast lesions, between January 2016 and January 2018. B-mode US, strain elastography, and color Doppler US were realized to evaluate each lesion. The results of three modalities were compared between the B-mode US and the combination of B-mode US, elastography, and color Doppler US: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). The pathological findings were used as the reference standard.

Results: Among 220 breast masses, 189 of the lesions were fibroadenomas, 31 were phyllodes tumors. Addition of strain elastography and color Doppler US to B-mode US increased the specificity from 27.5% (95% confidence interval [CI]: 21.15%, 33.88%) to 95.24% (95% CI: 92.20%, 98.27%; P < 0.001); PPV from 16.46% (95% CI: 10.79%,22.14%) to 60.87% (95% CI: 40.92%, 80.82%; P < 0.001) and AUC from 0.584 (95% CI: 0.481, 0.687) to 0.886 (95% CI: 0.824, 0.948; P < 0.001).

Conclusion: The combination B-mode US, strain elastography and color Doppler US increase the diagnostic performance in distinguishing fibroadenomas from phyllodes tumors.

Ultrasound is a commonly used imaging modality for breast cancer diagnosis and prognosis but suffers from false positives, false negatives and interobserver variability. Deep learning (DL), a subset of artificial intelligence, has the potential to improve the efficiency and accuracy of breast ultrasound. This article provides a comprehensive overview of DL applications for breast cancer diagnosis and treatment in ultrasound, including methodological descriptions of various DL models, and clinical applications on noise reduction, lesion localization, risk assessment, diagnosis, response evaluation and outcome prediction. Furthermore, the review highlights the importance of interpretability and small sample size learning of DL-based systems in clinical practice; specific recommendations for further expanding the clinical impact of DL-based systems are also provided.

Objectives To measure the CSA of the HST musculature measured with ultrasonography in soccer players undergoing ACLR and compare limb differences with healthy controls.

Methods A case-control study was performed with patients after anterior cruciate ligament repair (ACLR) and healthy controls in which cross-sectional areas (CSA) obtained using a model TE7 ultrasound machine (MINDRAY ®, USA) in B mode (4.2 to 13 MHz) with a multifrequency linear array transducer (L12-4S). Three CSA images were taken of the semitendinosus muscle (ST) and the long head of the biceps femoris (BFlh), at a distance of 30% and 70% of the ischial tuberosity insertion. Mean differences between groups were analyzed using SPSS v.20 (IBM®, USA), and statistical analyses were performed using non-parametric techniques to determine differences between groups (Student's t-test) and Cohen's correlation coefficient to quantify effect size.

Results 14 ACLR operated 17 ± 5.4 months ago and 12 healthy controls (W = 6; M = 20M; 24.5 ± 3.92 years; BMI = 25.1 ± 2.32 kg/m²) were recruited. There were differences between groups in CSA-ST70 (Post-ACLR = 1.43 ± 1.029 cm² vs Control 2.65 ± 0.664 cm², T Student = -3.68, 95% CI [-Inf, -0.648], P < 0. 001, ES = -1.418), but not in CSA-ST30 (Post-ACLR = 8.42 ± 1.596 cm² vs Control 9.16 ± 0.945 cm², T Student = -1.535; 95% CI [-Inf, -0.0793], P = 0. 068, ES = -0.5607), CSA-BFlh30 (Post-ACLR = 8.79 ± 1.47 cm² vs Control 8.87 ± 2.312 cm², T Student = -0.123; 95% CI [-Inf, 1.1049], P = 0.452, ES = -0. 049) or CSA-BFlh70 (Post-ACLR = 6.91 ± 1.011 cm² vs Control 7.01 ± 1.453 cm², T Student = -0.214; 95% CI [-Inf, 0.6795], P = 0.416, ES = -0.0783).

Conclusion Ultrasound measurement of the CSA can be an image marker to identify muscle weakness or atrophy that predicts functional loss early.

The use of contrast-enhanced ultrasound (CEUS) has expanded over the past decade to include a variety of diagnostic and therapeutic applications. These include urgent clinical situations that require timely diagnosis and subsequent treatment. With the introduction of microbubble ultrasound contrast agents (UCAs), CEUS provides increased sensitivity and specificity over conventional ultrasound. Within the trauma setting, CEUS benefits include point of care imaging and an ability to monitor perfusion in real-time. Additionally, UCAs are non-nephrotoxic, and can be used when contrast enhanced CT is contraindicated. In this review, we discuss recent advancements of CEUS within trauma settings.

The American College of Radiology has implemented the Liver Imaging Reporting and Data System (LI-RADS) to help detect, interpret, and guide the management of suspected lesions on surveillance imaging for hepatocellular carcinoma (HCC) in patients with cirrhosis. The classification of indeterminate nodules with a grading algorithm can be used for multiple imaging modalities (US, CT, and MRI) and incorporates multiple imaging features to appropriately classify observations with different likelihood of being HCC. Contrast-enhanced ultrasound (CEUS) LI-RADS has been fully implemented since 2017. The aim of this pictorial article is to provide a comprehensive review of CEUS LI-RADS utilization, discuss its advantages, and highlight areas for potential improvement.

The sentinel lymph node (SLN) concept hypothesizes that metastatic cancer cells will spread through the lymphatic system to the SLN being the first one in the lymphatic chain to receive the metastatic cells, indicating that if the SLN is free of cancer cells the rest of the lymphatic chain is also without metastatic disease. Diagnostic ultrasound imaging (US) has been used to evaluate lymph nodes (LN) to determine level of suspicion and to guide LN biopsies. However, conventional US cannot be used for lymphatic mapping, which requires administration of a tracer. This has been changed with the use of contrast-enhanced US (CEUS) to detect lymphatic channels and SLNs after subcutaneous injections of microbubble-based US contrast agents (UCAs). The aim of this review is to examine the clinical evidence on the role of subcutaneous injection of UCA, known as lymphosonography, to be used as preoperative identification of SLNs in patients with breast and other cancers.

In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.

ChatGPT is attracting widespread attention from all walks of life with its excellent multi-round dialogue ability and strong user intent understanding ability, triggering a new wave of artificial intelligence. From the perspective of technical analysis, this article sorts out the various related technologies used in the GPT (Generative Pre-training Transformer) series models as well as large-scale multimodal models, which are more powerful and perform better in multiple downstream tasks. Meanwhile, we guide users to use LLM (Large Language Model) along with GPT more scientifically to maximize their potential. Finally, we analyze the application prospect of the GPT as well as the large-scale multimodal models in the medical field, and the problems are discussed from the perspectives of the risks and limitations of large-scale models applied into the medical field.

Internal carotid artery dissection (ICAD) is the result of a tear at the intimal layer of the internal carotid artery, which is a common cause of stroke in young and middle age patients. We present multimodal vascular ultrasound findings (include color Doppler flow, power Doppler flow, advanced dynamic flow, superb microvascular and contrast enhanced ultrasound imaging) of a 30-year-old female with ICAD and thrombus in false lumen. To our best knowledge, this is the first report that several superior vascular ultrasound imaging techniques have been used to evaluate ICAD.

Objectives To assess the clinical efficacy and safety of ultrasound-guided stellate ganglion block in the treatment of allergic rhinitis.

Methods Sixty patients with allergic rhinitis were selected as study subjects and were treated with stellate ganglion blocking. We observed the appearance and time of the patient's Horner syndrome, and compared the patient's clinical symptom scores before and after one month treatment, and calculated the clinical efficacy and overall effective rate.

Results After ultrasound-guided stellate ganglion blocking treatment, 97% of patients occurred Horner syndrome within 2 minutes. The scores of sneezing, runny nose, nasal itching, and nasal congestion significantly reduced at one month after treatment compared with those before treatment, in which there was statistically significant difference (P<0.05). The clinical efficacy rate also reached 96.7% after procedures. No serious complications occurred in this study.

Conclusions Ultrasound-guided stellate ganglion block can significantly improve the clinical symptoms and the life quality for patients with allergic rhinitis, and it is worthy of extensive clinical application.

Real-time intelligent segmentation of ultrasound video object is a demanding task in the field of medical image processing and serves as an essential and critical step in image-guided clinical procedures. However, obtaining reliable and accurate medical image annotations often necessitates expert guidance, making the acquisition of large-scale annotated datasets challenging and costly. This presents obstacles for traditional supervised learning methods. Consequently, semi-supervised learning (SSL) has emerged as a promising solution, capable of utilizing unlabeled data to enhance model performance and has been widely adopted in medical image segmentation tasks. However, striking a balance between segmentation accuracy and inference speed remains a challenge for real-time segmentation. This paper provides a comprehensive review of research progress in real-time intelligent semi-supervised ultrasound video object segmentation (SUVOS) and offers insights into future developments in this area.

The transverse vaginal septum is a rare abnormality of the female genital tract. Conventional combined with contrast-enhanced ultrasound can not only accurately predict the position of the transverse vaginal septum, but also accurately judge the thickness of the septum and whether there are holes in the septum. We reported a case of congenital incomplete transverse vaginal septum diagnosed by conventional and contrast-enhanced ultrasound.

Schwannoma (syn. neurilemoma, neuroschwannoma) is a benign tumor derived from nerve sheath cells (Schwann cells), which is the most common type of peripheral neurogenic tumors. In this case, a patient with papillary thyroid carcinoma on the left side was found to have a predominantly cystic nodule in the ipsilateral neck level 4 by ultrasonography (US), which mistook for ipsilateral cervical lymph node metastasis and was later found to be a vagal nerve sheath tumor by surgery. The article reviews the pathology, imaging findings and differential diagnosis of schwannomas. A meticulous evaluation and comprehensive differential diagnosis are pivotal to reach correct diagnosis.

The incidence of giant cystic meconium peritonitis (GCMP) in pregnancies following artificial reproductive techniques is rare. We report the first case of GCMP following in vitro fertilization and embryo transfer in China. A 32-year-old woman with a history of bilateral salpingectomy due to ectopic pregnancy attended our in vitro fertilization and embryo transfer program. Meconium peritonitis, polyhydramnios, bowel dilatation, and intra-abdominal calcification were detected by ultrasound at 33 weeks of gestation. Cesarean section due to scarred uterus was performed at 35⁺¹ weeks of gestation. A normal female infant with a distended abdomen was delivered. Emergency laparotomy was performed on the female infant because of the presence of a giant abdominal mass. A 0.2-cm perforation was found in the ileum. Enterostomy could not be performed due to the heavy adhesion. Prenatal diagnosis of meconium peritonitis is possible through careful ultrasonographic examination, and prognosis can be improved through early surgical intervention and intensive postoperative support.

Objective To predict sonographic features of malignancy in thyroid nodules by using convolutional neural networks (CNNs) ResNet50 model.

Methods A cohort of 461 patients having sonographic thyroid nodules with histology diagnosis were randomly split into training set (70%), validation set (15%) and testing set (15%). Labeled sonographic patterns of thyroid nodules were used to train CNNs ResNet50 in training set, where algorithm pipelines were used to explicitly delineate structures of interest using segmentation algorithms to measure predefined characteristics of these structures as to be predictive and to use these features to train models that predict the malignancy in thyroid nodules. The prognostic accuracy of ResNet50 model was evaluated on validation set and compared with the individual sonographic specialists in testing set. Accuracy, sensitivity, specificity, and efficiency of ResNet50 model was measured using receiver operating characteristic (ROC) curve.

Results Measurements showed the evaluation indexes of ResNet50 model were as follows: accuracy: 94.39%, sensitivity: 92.45%, specificity: 96.30%, efficiency: 96.08%, F1 value: 94.23%, and AUC: 93.40%. The prognostic accuracy and other indexes of ResNet50 model was not subordinate compared to sonographic specialists (P < 0.05).

Conclusion These results highlight the emerging role of deep learning techniques including CNNs in precision medicine and suggest an expanding utility for computational analysis of sonographic images in the future practice. This study showed a computational approach can be used for learning sonographic features of thyroid nodules using ResNet50 model to combine the power of adaptive machine learning and algorithms with traditional sonographic assessment.

Retroperitoneal ectopic pregnancy (REP) is extremely rare and can be easily missed due to its special location. As most REP are close to the major abdominal blood vessels, misdiagnosis can lead to serious consequences, even threatening the patient's life. This report presents a 26-year-old naturally conceived patient who was diagnosed with REP through transvaginal ultrasound and underwent early surgery with good recovery.