Ultrasound (US) technology, with major advances and new developments, has become an essential and first-line imaging modality for clinical diagnosis and interventional treatment. US imaging has evolved from one-dimensional, two-dimensional to three-dimensional display, and from static to real-time imaging, as well as from structural to functional imaging. Based on its portability and advanced digital imaging technique, US was first adopted by emergency medicine in the 1980s and gradually gained popularity among other specialists for clinical diagnosis and interventional treatment. Point-of-Care Ultrasound (POCUS) was then proposed as a new concept and developed for new uses, which greatly extended clinical US applications. Nowadays, artificial intelligence (AI), cloud computing, 5G network, robotics, and remote technologies are starting to be integrated into US equipment. US systems have gradually evolved to an intelligent terminal platform with powerful imaging and communication tools. In addition, specialized US machines tend to be more suitable and important to meet increasing demands and requirements by various clinical specialties and departments. In this article, we review current US technology and POCUS as new concepts and its future trends, as well as related technological developments and clinical applications.

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.

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.

Ultrasound imaging has attracted great interest of researchers due to their application in cancer diagnosis and treatment. Ultrasound contrast agents, microbubbles and nanobubbles are widely explored as a multifunctional platform, not only carrying other contrast agents for multimodal imaging to complement the disadvantages of each imaging modality, but also carrying drug/gene for cancer theragnostic. In this article, the characteristics and differences of microbubbles and nanobubbles are briefly introduced and reviewed. Besides, the microbubbles and nanobubbles driven multimodal imaging and theragnostic of cancer are summarized.

Objectives: To determine the efficacy of Doppler-based renal resistive index (RRI) in the prediction of acute kidney injury (AKI) in critically ill patients.
Methods: A systematic review and meta-analysis of cohort studies was conducted. Relevant studies were identified in PubMed, Embase and Cochrane Library from inception to November 1, 2020, and reference lists of identified primary studies. Prospective studies that examined the diagnostic accuracy of RRI in AKI were included.
Results: Among the 126 articles identified, 18 were included, with a total of 1656 patients. Bivariate analysis yielded pooled sensitivity and specificity of 0.81 (95% CI 0.74-0.86) and 0.75 (95% CI 0.65-0.83), respectively. The summary positive likelihood ratio was 3.2 (95% CI 2.2-4.6), and negative likelihood ratio was 0.26 (95% CI 0.19-0.36).
Conclusion: Elevated RRI may be an early predictor of AKI in critically ill patients. Further large-scale prospective studies are needed to confirm the predictive efficacy and determine the performance and optimal cutoff value of RRI among the included studies.

Objective: To compare the etiologies and adverse outcomes of pregnancies with short fetal femur length (FL) categorized based on relative proportion and percentile placement.
Methods: Fetuses (n = 254) with short FL measured by ultrasound were classified into four groups: severe and disproportionate short FL (group A); severe and proportionate short FL (group B); mild and disproportionate short FL (group C); mild and proportionate short FL (group D). Etiologies and outcomes of pregnancies were compared between groups.
Results: A larger percentage of skeletal dysplasia occurred in group A (28.57%) than in the other three groups (group B: 1.85%; group C: 4.08%; group D: 0). Groups A and B also had higher rates (group A: 40.82%, group B:33.33%) of fetal growth restriction (FGR) than groups C and D (group C: 4.08%; group D:3.92%). No difference in chromosomal and genetic anomalies was detected among groups (P = 0.307); however, the rate of chromosomal and genetic testing in group A was higher than in group D (P = 0.001). Group A (57.14%) had a significantly lower rate of live birth than the other three groups, and group D (98.04%) had a higher live birth rate than groups B (87.04%) and C (83.67%). Considering only living fetuses, higher rates of preterm birth (P < 0.001), low birth weight (LBW) (P < 0.001), neonatal intensive care unit (NICU) admission or pediatric hospital referral (P = 0.004), Apgar score (1 min/5 min) ≤7 (P < 0.001) and fetal distress or neonatal asphyxia (P = 0.004) were found in group A compared to group D.
Conclusion: Fetuses with severe and disproportionate short FL should be flagged for possible skeletal dysplasia. Fetuses with severe short FL should be watched for FGR prenatally. Invasive prenatal tests are recommended for fetuses with severe and disproportionate FL but not recommended for those with mild and proportionate short FL. Outcomes of fetuses with severe and disproportionate short FL were worse than that of fetuses with mild and proportionate short FL.

Phyllodes tumors of the breast are rare fibroepithelial neoplasm which are generally divided into benign, borderline, or malignant. In this case study, we reported a 40-year-old female presented with an asymptomatic right breast mass underwent sonographic evaluation. The surgical histopathology was diagnosed as borderline phyllodes tumor. Sonographic features of the tumor are described in detail, and the relevant literatures are reviewed and discussed.

Klippel-Trenaunay syndrome (KTS) is a rare congenital disorder. In this case study, we reported prenatal ultrasound study on a 33-year-old pregnant woman at the gestation of 26 weeks and 3 days, whose fetus was suspected of KTS associated with enlarged right thigh and dilated inferior vena cava. Additionally, we comprehensively reviewed literatures of prenatal KTS published on Medline to further understanding of the prenatal ultrasonographic manifestations of KTS.

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.

Objective: To assess the value of ultrasound images and reports scoring system for quality control in clinical ultrasound practice.
Methods: Ultrasound images and reports scoring system was established and implemented in the Department of Medical Ultrasound at West China Hospital of Sichuan University in 2014. The scoring system along with formulated corresponding management measures was used for quality control of ultrasound examination and clinical practice assessment. The quantitative scoring results were summarized and analyzed.
Results: Through the quantitative assessment of the quality of the images and reports of ultrasound examinations, the total report score in our department had risen from 4.93 in 2014 to 4.98 in 2018. “Inconsistency between description and conclusion” accounted for 46.47% of all report errors, which was the most common report error. The total image score also increased slightly to ≥ 4.98 during the past three years. The most common image error was “not saving color Doppler images”, which accounted for 84.48% of all image errors. The total score of images was higher than that of text reports.
Conclusion: It is important to establish the ultrasound images and reports scoring system for quality control of ultrasound practice. Using quantitative scores for ultrasound images and reports can improve the quality control of ultrasound examination and strengthen the management of clinical operation.

Thyroglossal duct cyst is the most common congenital cyst, locating in the midline neck below the hyoid bone. Carcinoma occurring in a thyroglossal duct cyst is rare. Diagnosis generally depends on postoperative pathological diagnosis, because preoperative diagnosis is difficult, but imaging and fine-needle aspiration biopsy (FNAB) can help with the diagnosis. In addition, there is no consensus on the optimal management of thyroglossal duct cyst carcinoma. This paper describes a case of carcinoma in the thyroglossal duct cyst in a 60-year-old man and contains a review of the literature about the presentation, imaging manifestations and treatment.

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.

Objective: This study aimed to compare the diagnostic performance of three-dimensional ultrasound (3D-US) and automated breast volume scanner (ABVS) for the characterization of benign and malignant breast lesions.
Methods: Ninety patients who underwent surgery and preoperative conventional ultrasound (US), 3D-US, and ABVS examinations were enrolled in this study. The image quality and adjacent structures of the lesions in the coronal plane were compared. The combination of US, 3D-US, and ABVS for retraction phenomenon of the lesion was compared and the diagnostic performance of each combination was analyzed.
Results: ABVS displayed better image quality and adjacent structures than 3D-US (P < 0.001). The area under the curve (AUC) was 0.913, 0.842, and 0.871 for US, 3D-US, and ABVS, respectively. The AUC of the retraction phenomenon of the lesion was 0.732 and 0.810 for 3D-US and ABVS, respectively. When they were combined, US+ABVS showed the highest AUC of 0.924. No significant difference of diagnostic performances was found among conventional US, US+3D-US, and US+ABVS(P > 0.05).
Conclusions: Compared with 3D-US, ABVS seems to be superior in showing the retraction phenomenon of breast lesions and in the characterization of breast lesions alone or in combination with conventional US. Although no significant difference was observed between them, both ABVS and 3D-US provided valuable information in the coronal plane and improved our confidence level in breast lesion characterization, especially when combined with the conventional US.

Gas therapy is a new therapeutic method that has been developed in recent years and shows great clinical prospects for the treatment of tumours and cardiovascular, nerve, and immune system diseases. Therapeutic gases, including oxygen, hydrogen, nitric oxide, hydrogen sulfide, xenon, and other bioactive gases are involved in modulating cell signaling pathways and have important physiological functions with substantial therapeutic potential. However, their precise delivery remains a major challenge. Recently, researchers began to use ultrasound to trigger microbubbles that have encapsulated these gases for intravenous administration. This not only enhances the contrast of ultrasound imaging, but also precisely releases gases in the targeted area using ultrasound-targeted microbubble destruction. This article reviews the latest advances in the use of microbubbles to load therapeutic gases for the treatment of diseases.

Objective: To investigate the ultrasound features of hepatic reactive lymphoid hyperplasia (HRLH) and primary hepatic lymphoma (PHL), and determine the value of ultrasound on the diagnosis and differentiation of them.
Methods: The ultrasound findings of 11 HRLH lesions and 14 PHL lesions from April 2011 to September 2020 were retrospectively analyzed. The conventional ultrasound and contrast-enhanced ultrasound (CEUS) manifestations of them were compared.
Results: HRLH showed significant female preference than PHL (100% and 64.3%) (P = 0.046). There were no significant differences of other demographics between HRLH and PHL patients. On conventional ultrasound, the diameter of HRLH (16.5 ± 3.8 mm) was significantly smaller than that of PHL (48.3 ± 36.2 mm) (P = 0.008), and a regular shape was seen more frequently in HRLH (90.9%) than that in PHL (50%) (P = 0.038). There were no significant differences of other indexes between HRLH and PHL. On CEUS, both HRLH and PHL presented arterial enhancement and washout in early portal phase. But rim enhancement at the beginning of washout was seen more frequently in HRLH (90.0%) than that in PHL (33.3%) (P = 0.036), and HRLH usually displayed hyperenhancement (100%) in arterial phase while PHL could be hypoenhancement (16.7%), isoenhancement (33.3%) and hyperenhancement (50%) (P = 0.036).
Conclusion: Ultrasound can supply valuable imaging evidences for the diagnosis of HRLH and PHL. The ultrasound features including size, shape, degree of arterial phase enhancement and rim enhancement at the beginning of washout can be used for the differentiation of HRLH and PHL.

Chronic liver disease is common in China and worldwide, with liver fibrosis as the primary pathological finding. Any chronic liver disease can lead to hepatic fibrosis and gradually develop into cirrhosis. Complications, such as portal hypertension, gastrointestinal bleeding, and liver failure can occur. Some patients even develop hepatocellular carcinoma. Thus, timely diagnosis of hepatic fibrosis is vital for the assessment of etiology, treatment, and prognosis. Conventional ultrasound imaging shows low sensitivity with its subjectivity for preliminary diagnosis of liver fibrosis, creating limitations in qualitative and quantitative evaluation. Ultrasound elastography is a recently developed technique that can help overcome these limitations. The elastic imaging method combines conventional ultrasound to assess liver stiffness along with routine examination. This "one-stop" check for liver disease opens new prospects for clinical and scientific research and improves the accuracy of disease diagnosis for broad clinical application. This article will review the current status of ultrasound elastography for its applications in chronic liver diseases.

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.

ChatGPT, an artificial intelligence (AI) software developed by OpenAI, is a powerful language model. ChatGPT is expected to perform a variety of tasks in the field of medical writing and publishing, including writing drafts, extracting article abstracts, and embellishing language. At the same time, ChatGPT has technical shortcomings and ethical challenges that have raised concerns. This review summarizes the issues faced by ChatGPT in the field of medical writing and publishing, and provides a reference for the development of standards and systems for the use of AI products such as ChatGPT.

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.

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 current medical ultrasound imaging device is mainly divided into console ultrasound device and portable ultrasound device. In this article, a new concept along with an innovative pathway to develop ultrasound imaging devices, namely distributed cloud-based ultrasound system (DCUS), was proposed. In DCUS, the ultrasound probes from multiple terminals are used to complete the transmission and reception as well as analog-to-digital conversion of ultrasonic signals, and upload the original radio frequency (RF) signals or in-phase and quadrature (IQ) signals to the cloud server through ultra-bandwidth high-speed communication technology, while the centralized cloud server platform finishes processing of ultrasonic signals and transmits and distributes ultrasound imaging to each related terminal in real time. Various artificial intelligence (AI) algorithms can also be deployed on the cloud-based platform to achieve AI-powered imaging optimization, protocol standardization, and assisted diagnosis. Thus, by utilizing new cloud-based platform and super-high transmission technology and combining the advantages of console ultrasound and portable ultrasound systems with flexibility, high imaging quality and intelligent features, DCUS could become whole new ultrasound system for medical imaging applications in foreseeable future.

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.

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.

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.

Objective: To evaluate the clinical value of automated measurements by AutoEF (GE EchoPAC system, version 113) in left ventricular (LV) volumes and ejection fraction (EF) estimation based on the biplane Simpson’s method (manual method) in different clinical subsets.
Methods: A total of 322 subjects participated in this study (the common group). In the common group, 112 patients with coronary heart disease (CHD) were divided into the CHD group, and 34 CHD patients with LV wall motion abnormalities (WMA) comprising the CHD group, renamed the WMA group. LV volumes and EF were assessed using both manual tracing and automated estimation. Time spent on each method was documented. The agreements in echocardiographic measurements by different methods were assessed by intraclass correlation coefficients (ICC) and Bland-Altman analysis.
Results: The average analysis time of the automated method was 12 ± 1 s/patient with excellent repeatability. ICC revealed good consistency between manual and automated EF in all groups, especially in the CHD and WMA groups, although Bland-Altman analysis showed non-negligible bias in EF estimation between the two methods. ICC analysis showed a good correlation between automated and manual EF in all the good and poor image quality subgroups.
Conclusion: Automated method by AutoEF was a time-saving, excellent reproducible, and resistant to image interference approach, with a strong potential in left ventricular function measurements, especially for patients with CHD and/or WMA.

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.

Adenolymphoma is the second most common benign parotid tumor after pleomorphic adenoma. Although microwave ablation (MWA) has been proved to be effective for benign breast and thyroid nodules, there are few studies on ablation of adenolymphoma of parotid gland. An 82-year-old male with adenolymphoma of bilateral parotid gland treated with ultrasound-guided MWA. After 12 months of follow-up, the volume of bilateral parotid nodules was significantly reduced without recurrence and obvious complications. In conclusion, ultrasound-guided MWA is a safe and effective method for patients with parotid adenolymphoma who cannot tolerate surgery.

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.

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.

Artificial intelligence-based pelvic floor ultrasound helps the diagnosis, preoperative assessment, and postoperative monitoring of female pelvic floor dysfunction (FPFD). The application of artificial intelligence in pelvic floor ultrasound mainly includes automatic segmentation and measurement, the diagnosis of muscle injury, childbirth prediction and postoperational evaluation. It can not only overcome the problem of operator experience dependence but also improve work efficiency and simplify the workflow, which has popularized the application of pelvic floor ultrasound. However, most of the current research is still limited to the automatic segmentation of three-dimensional axial plane levator hiatus (LH). The automatic reconstruction, real-time tracking of 3D/4D images and the imaging navigation of pelvic floor surgery remain major challenges for researchers.

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.

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.

Three-dimensional (3D) imaging plays an important role in the construction of normal anatomy and abnormal structures. The 3D images can be obtained through computed tomography, magnetic resonance, ultrasonography (US) and other technologies with different values and prospects. 3D-US imaging has unique advantages such as being radiation-free, time-saving and cost-effective. The Crystal Vue is a novel 3D-US rending technology that provides valuable information in several obstetrical and gynaecological studies. This review focuses on the application of Crystal Vue technology in the evaluation of foetal skeleton, maxillofacial region, central nervous system, digestive tract and abnormally invasive placenta, cervical pessary, and ureteral stones.

Objective: This study was to investigate the characteristic morphology and hemodynamics in patients with internal jugular vein (IJV) stenosis by color duplex ultrasonography (CDU).
Methods: From 2017 October to 2019 October, 111 patients with unilateral IJV regional stenosis at the J3 segment (IJV out of the jugular foramen to the anatomic level of the carotid artery bifurcation) and 126 healthy individuals (control group) were enrolled. Using CDU, the diameter, maximum velocity (Vmax), maximum pressure gradient (PGmax), and mean flow volume (FVm) of bilateral IJVs were measured. With MR venous angiography (MRV) and/or CT venous angiography (CTV) as reference, the optimal cut-off values of Vmax and PGmax were determined by ROC analysis.
Results: Among the 111 patients, 39 (35.1%) were associated with intracranial hypertension (ICH). The diameter at the IJV stenosis was significantly smaller than that of the segment distal to the stenosis (2.04 ± 0.36mm vs. 4.49 ± 0.68mm, t = 19.367, P < 0.001). The Vmax and PGmax at the IJV stenosis segment were obviously higher than those at the segment distal to the stenosis (Vmax: 106.8 ± 29.0 cm/s vs. 32.4 ± 13.1 cm/s, t = 29.259; PGmax: 5.10 ± 2.69 mmHg vs. 0.50 ± 0.53 mmHg, all P < 0.001). With MRV/CTV as reference, the ROC curves of Vmax and PGmax at the stenosis site showed high diagnostic efficacy. The optimal cut-off value of Vmax was 75cm/s, with a sensitivity of 87.4% and a specificity of 95.2%. The optimal cut-off value of PGmax was 2.2 mmHg, with a sensitivity of 92.8% and a specificity of 96.0%.
Conclusion: CDU may be a useful method to evaluate IJV regional stenosis.

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: Combining ultrasound parameters with patient’s clinical symptoms to explore the feasibility of improving the diagnostic coincidence rate of hyperthyroidism.
Methods: A total of 179 untreated patients with diffuse echogenic changes of the thyroid on ultrasound and abnormal laboratory examinations were enrolled this study. There were 119 cases of hyperthyroidism, 29 cases of subclinical hyperthyroidism, 26 cases of subclinical hypothyroidism, and 5 cases of Hashimoto’s thyroiditis with clinically confirmed diagnosis. The thyroid volume, blood supply grade, peak velocity of the superior thyroid artery (STA) by ultrasound, heart rate (HR), and clinical symptoms was used to determine the optimal indicators for the diagnosis of hyperthyroidism, and to compare these indicators (study group) with the previous ultrasound criteria reported in the literature (control group).
Results: According to logistic regression analysis, from all the factors studied, hyperthyroidism symptoms had the most significant correlation with the diagnosis of hyperthyroidism (P = 0.001), followed by STA peak velocity (P = 0.005), HR (P = 0.009), echogenicity(P = 0.015)and blood flow Grade III (P = 0.041) in order of importance, the other factors include thyroid volume, blood flow Grade I and II were not correlated with the diagnosis of hyperthyroidism (P > 0.05). The diagnostic coincidence rate of hyperthyroidism by increased STA peak velocity was 85.7% (102/119), while the hyperthyroidism symptoms significantly increased the diagnostic coincidence rate to 95.8% (114/119). Comparing the study group to the control group, the area under the receiver operating curve (ROC) was 0.993 vs 0.899 (Z = 3.868, P = 0.001). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 89.92% vs. 68.91%, 96.67% vs. 96.67%, 92.18% vs. 78.21%, 98.17% vs. 97.62%, and 82.80% vs. 61.05%, respectively.
Conclusions: The optimal indicators for the diagnosis of hyperthyroidism is the presence of hyperthyroidism symptoms in untreated patients with diffuse echogenic changes of the thyroid, followed by increased STA peak velocity. This suggests that ultrasound doctors should carefully considerate clinical information and instead of just limited to ultrasound itself. By combining ultrasound parameters with the clinical manifestations of patients, the diagnostic coincidence rate can be truly improved.

Abdominal pregnancy is a rare occurrence and the location is hardly seen in the upper abdomen. We described a case of a 34-year-old female presenting with upper abdominal pain and reflex sensitivity in the right shoulder. Ultrasound examination revealed a mass under the diaphragm which was suspected to be a liver abscess. The result of an enhanced CT scan was suggestive of an ectopic pregnancy between the diaphragm and right liver lobe. However, Laparoscopic surgery was performed and the histopathological examination confirmed the diagnosis of diaphragmatic pregnancy. By describing this case, we aim to share the value of patients with consistent upper abdominal pain and elevated serum hCG level, a thorough examination of the upper abdomen and pelvic with US as well as CT or MRI is crucial for timely diagnosis.

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.