With the development of bioengineering technologies, medical ultrasound systems have evolved and advanced over the years, including the transition of ultrasound machines from analog devices to digital systems and improvements in transducer assembly from piezoelectric ceramics to single crystals. In the past several years, the further miniaturization of ultrasound units has become possible with the advancement of computer chip manufacturing and production. Most recently, a new handheld ultrasound system has been developed by the startup company Butterfly Network, using an innovative CMUT/CMOS-based probe technique. This paper will review the history, technology and features of this new device, as well as discuss its future potential as a personal sonoscope.

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.

With the rapid development of microelectronics, handheld ultrasound devices emerged and have a widespread use in the field of medicine and healthcare. The handheld ultrasound is a modality of medical ultrasonic device that is portable (i.e., carried by hand), easy to operate and in some cases even combine the scanner with the host system. It normally has the characteristics of light weight, small size and low power consumption. With the wireless imaging transmission technique, remote and intelligent diagnosis is possible for the doctors using handheld ultrasound devices. As soon as the low-cost, highperformance handheld ultrasound device was launched, it attracted clinical attention and received a warm welcome from primary doctors and clinicians, thereby accelerating the development of ultrasonic clinical visualization. In this paper, we will illustrate the status and roles of handheld ultrasound for its clinical settings and applications in the past, current, and future.

Objectives: To investigate the causes, differential diagnosis, and clinical significance of absent blood flow (ABF) in the testis detected by color Doppler ultrasound (CDU) in acute scrotum.
Methods: A total of 263 patients with ABF in the testis detected by CDU in our hospital were reviewed retrospectively. However, only 111 patients who underwent surgery were included in this study. The ultrasonographic features of the testis and paratesticular tissue were analyzed. The surgical or surgical-pathologic results were taken as the reference standard to determine the causes of ABF in the testis.
Results: The causes of ABF in the testis were testicular torsion (n = 98, torsion group) and non-testicular torsion related diseases (n = 13, non-torsion group, including 8 testicular rupture, 3 epididymitis-orchitis combination with testicular necrosis, and 2 tumors). Tunica albuginea of the testis, diffuse enlarged epididymis, whirlpool sign, and internal echo of the testis were the better parameters for diagnosing the causes of ABF in the testis detected by CDU. And the accuracies of these approaches were 93.7%, 91%, 83.8%, and 81.1%, respectively. Whirlpool sign had a 100% positive predictive value (PPV), and disrupted tunica albuginea of the testis and diffuse enlarged epididymis each had 100% specificity for predicting testicular torsion. When the ultrasonographic findings were combined with these methods to determine the causes, the accuracy was 96.4% (107/111).
Conclusion: ABF in the testis detected by CDU is not always indicative of testicular torsion in acute scrotum; Analyzing ultrasound findings of the testis and paratesticular tissue can help with differential diagnosis of the causes of ABF in the testis and guide clinical decision-making.

Irreversible electroporation (IRE) is an innovative non-thermal ablation technique increasingly utilized in cancer treatment due to its unique operational principles and clinical advantages. As a novel interventional ultrasound technology, IRE has undergone extensive research, development, and practical application over the years. IRE ablation, particularly in conjunction with immunotherapy, has emerged as a significant modality in cancer treatment and related fields. This article aims to present the advancements in irreversible electroporation ablation for cancer through an examination of both basic research and clinical applications.

Cancer, one of the leading causes of global mortality, arises from dysregulated cellular processes that create an immunosuppressive tumor microenvironment (TME), promoting immune evasion and therapeutic resistance. While immunotherapy activates the immune system to combat tumors and provide durable benefits, its efficacy is often constrained by the hostile TME. Focused ultrasound (FUS) has emerged as a non-invasive, and precise therapeutic modality capable of mechanically or thermally ablating solid tumors. This review discusses the dual mechanisms of FUS—thermal ablation (T-HIFU) and mechanical disruption (M-HIFU, e.g., histotripsy)—and their role in modulating the TME. Specifically, it examines how FUS-induced immune activation can overcome immunosuppressive barriers, promote T-cell infiltration, and synergize with immunotherapy to improve outcomes in solid tumors, while also highlighting current challenges and future directions.

Advances in modern clinical ultrasound include developments in ultrasound signal processing, imaging techniques and clinical applications. Improvements in ultrasound processing include contrast and high-fidelity ultrasound imaging to expand B-mode imaging and microvascular (or microluminal) discrimination. Similarly, volumetric sonography, automated or intelligent ultrasound, and fusion imaging developed from the innate limitations of planar ultrasound, including user-operator technical dependencies and complex anatomic spatial prerequisites. Additionally, ultrasound techniques and instrumentation have evolved towards expanding access amongst clinicians and patients. To that end, portability of ultrasound systems has become paramount. This has afforded growth into the point-of-care ultrasound and remote or tele-ultrasound arenas. In parallel, advanced applications of ultrasound imaging have arisen. These include high frequency superficial sonograms to diagnose dermatologic pathologies as well as various intra-cavitary or lesional interrogations by contrast-enhanced ultrasound. Properties such as realtime definition and ease-of-access have spurned procedural and interventional applications for vascular access. This narrative review provides an overview of these advances and potential future directions of ultrasound.

Objective Plantar fascia (PF) is a thick connective tissue on the plantar surface of the foot that plays a crucial role in maintaining the longitudinal arch. Plantar fasciitis, characterized by inflammation of the medial tuberosity of the calcaneus, is one of the most common causes of heel pain. Imaging is essential for accurate diagnosis, with ultrasonography widely applied to evaluate PF thickness, monitor therapeutic outcomes, and guide interventions. However, its application is limited by operator dependency. This study aimed to investigate the inter- and intra-rater reliability of musculoskeletal ultrasound in measuring PF thickness in patients with plantar fasciitis.
Methods In this cross-sectional analytical study, 40 participants were enrolled, including 26 females and 14 males. The reliability of PF measurements on different sides was assessed using Cronbach’s alpha and intraclass correlation coefficients (ICC).
Results A total of 40 participants (age range: 20-60 years) were included in the study. PF thickness in patients with plantar fasciitis measured by Observer 1 ranged from 3.8-6.9 mm (left) and 3.2-6.0 mm (right), whereas measurements by Observer 2 ranged from 2.9-7.1 mm (left) and 3.2-6.0 mm (right). Intra-rater reliability showed ICCs ranging from 0.618-0.857 for Observer 1 and 0.76-0.92 for Observer 2, indicating moderate (> 0.60) to excellent reliability.
Conclusion PF is a deep structure, and its visualization may be influenced by operator technique. Ultrasound measurement of tendon thickness shows good reliability in patients with established plantar fasciitis.

Objectives Conventional ultrasound (US) elastography lacks specificity in distinguishing benign from malignant breast lesions. This study employed US to assess breast tissue viscosity and elasticity. The primary objective was to evaluate the diagnostic performance of US-derived viscoelasticity parameters. Secondary objectives included investigating the consistency of parameters in the mechanical properties of breast tissue.
Materials and methods Two doctors independently measured the viscosity and elasticity of specific positions in the breasts of 20 health females for consistency assessment. Then the doctors selected region of interest (ROI) to measure viscoelasticity. ROI-1, ROI-2, and ROI-3 represent the tumor, peritumoral, and peripheral areas, respectively. The viscosity modulus and elasticity modulus of 3 ROIs were analyzed. The viscosity and elasticity parameters with the highest area under the curve (AUC) were selected as the optimal ones. Finally, elasticity and viscosity parameters were combined to assess their diagnostic performance in differentiating breast lesions.
Results US viscoelasticity parameters can be measured with high consistency. Among conventional US elasticity parameters, 1-Emax demonstrated the highest AUC (0.746) for differentiating benign and malignant breast lesions. In US viscoelasticity parameters, 2-Emax achieved the highest AUC of 0.801, while 2-Vmax showed the highest AUC of 0.835. The highest specificity (0.903) was observed when both 2-Emax and 2-Vmax exceeded their respective cutoff values (P < 0.05 for all).
Conclusion Quantitative ultrasound viscoelasticity parameters play a crucial role in breast cancer diagnosis, with tumor boundary parameters being particularly significant for cancer screening and prevention strategies.

Objective It is always a clinical challenge to identify neonatal pulmonary hypertension (NPH). Although the diagnostic gold standard of pulmonary hypertension (PH) is the true measurement of resting pulmonary arterial pressure (PAP) through cardiac catheterization, it is inappropriate for delicate newborns. Hence, echocardiography examination has become the most common inspection tool for NPH despite its limitations.
Methods After outlining the conventional echocardiographic parameters for detecting NPH and their drawbacks in newborns, this review mainly discussed the roles of two-dimensional speckle tracking echocardiography, including RV global longitudinal strain and segmental longitudinal strain, in the evaluation of NPH, hoping to provide more information for detecting NPH.
Results When combined with conventional echocardiographic parameters, RV longitudinal strain would be a great help for the evaluation of NPH. Furthermore, based on the preliminary research, our finding revealed that the magnitude of the apical segmental strain of RVFW was significantly lower, and the basal-to-apical strain ratio (Ratio bas/api) of RVFW was remarkably higher in infants with PH than those without PH.
Conclusion Based on the particularity of newborns, neonatal echocardiography is the preferred inspection method for NPH. It provides hemodynamic, morphological and functional information for evaluating NPH. RV longitudinal strain is sensitive to subtle changes of RV function and closely related to PH. It could be considered not only as the key factor affecting the prognosis of NPH but also as a potential index to detect and identify NPH.

Objective To improve infant outcomes and guide treatment decisions, early and accurate diagnosis of congenital abnormalities during pregnancy is crucial. Despite its excellent accuracy, chorionic villus sampling (CVS) has procedural dangers; sonography offers a non-invasive, safer substitute. With an emphasis on clinical value, safety, and diagnostic accuracy, this evaluation assesses how well sonography performs in identifying congenital diseases prior to 12 weeks of gestation when compared to CVS.
Methods A comprehensive review of the literature was conducted using databases such as Web of Science, PubMed, and Scopus. Studies published between 2015 and 2024 that examined the diagnostic sensitivity, specificity, and accuracy of sonography and CVS for congenital illness identification were included.
Results With a sensitivity of 85-90%, sonography shows excellent accuracy in identifying anatomical abnormalities such organ malformations and nuchal translucency. Although CVS has a 0.5-1% chance of miscarriage, it is still the gold standard for identifying chromosomal abnormalities with an accuracy of around 99%. Combining the two modalities reduces hazards while improving diagnostic accuracy.
Conclusion For low-risk populations in particular, sonography provides a dependable, non-invasive screening method for congenital abnormalities prior to 12 weeks. For high-risk instances that need genetic investigation, CVS is advised. Integration of both approaches could optimize prenatal diagnostic protocols.

Objective Aortic stenosis (AS), a prevalent valvular disease, demands accurate diagnosis. Current methods, notably Doppler echocardiography, face limitations like dynamic image challenges and reliance on cardiologist experience. To assess aortic stenosis, measuring the LVOT diameter is critical, as a 1 mm difference can result in a 10% variation in stroke volume. Accurate Doppler beam alignment and LVOT VTI measurement are also essential to avoid errors. Our study, utilizing the TMED 2 dataset, introduces a novel artificial intelligence program for precise aortic stenosis diagnosis. By leveraging AI, we aim to overcome existing constraints and significantly enhance diagnostic accuracy.
Methods a novel method that involves using convolutional neural networks (CNNs), were used to grade AS based on various views of transthoracic echocardiography (TTE) images from the TMED 2 dataset. This innovative method aimed to take advantage of CNN’s abilities to recognize detailed patterns in echocardiographic data, making AS diagnosis more accurate. We evaluated the performance of our CNN models using confusion metrics and the area under the receiver operator curve (AUROC).
Results Our CNN networks were trained on a dataset comprising view_and_diagnosis_labeled_set, which included 599 studies from 577 unique patients (some with multiple studies on distinct days). For classification, we chose three classes: no aortic stenosis, aortic stenosis, and mild aortic stenosis. The detection of aortic stenosis achieved an accuracy of 85.74%. External validation using three views (PLAX, PSAX, and A4C) of outpatient transthoracic echocardiograms demonstrated effective screening for AS, yielding respective AUROCs of 0.81, 0.88, and 0.48.
Conclusion Our novel CNN-based approach achieved an 85,74% accuracy in AS detection using diverse views from the TMED 2 dataset. External validation on outpatient echocardiograms demonstrated robust screening capabilities, with AUROCs of 0.81, 0.88, and 0.48 for PLAX, PSAX, and A4C views, respectively. These promising results suggest the potential of AI in improving AS diagnosis for clinical applications. Moving forward, our future endeavors will focus on addressing data imbalances and detecting the view of images, in addition to assessing the severity of aortic stenosis, to further refine and optimize our diagnostic approach.

Objective Uterine and ovarian development is influenced by both age and hormonal milieu. Sonographic assessment of normal pubertal and pre-puberty girls provides critical insights into the physiological trajectory of female gonadal maturation and its potential pathological deviations.
Methods This was a cross-sectional study conducted at Gilani Ultrasound Center, Lahore, Pakistan. The duration of the study was 9 months. Uterus length, width, height, volume, right/left ovary volume and Fundo/Cervical ratio were measured.
Results A total of 384 subjects were included in our study, categorizing them into pre-puberty (age 2-6 years), early puberty (age 7-11 years), and late puberty (age 12-18 years) groups. In the pre-puberty group (n = 111, mean age 4.29 ± 1.20 years), uterine measurements revealed a mean length of 2.95 cm, height of 0.97 cm, width of 1.41 cm, and volume of 4.82 cm³. The mean volumes of the right and left ovaries were 1.24 cm³ and 1.10 cm³, respectively, with a mean F/C ratio of 1.33. For the early puberty group (n = 99, mean age 9.15 ± 1.45 years), uterine measurements included a mean length of 4.03 cm, height of 1.22 cm, width of 1.80 cm, and volume of 12.37 cm³. In the late puberty group (n = 31, mean age 12.63 ± 1.21 years), uterine measurements showed a mean length of 5.29 cm, height of 1.82 cm, width of 2.65 cm, and volume of 31.11 cm³. The mean volumes of the right and left ovaries were 4.70 cm³ and 5.26 cm³, respectively, with a mean F/C ratio of 1.26.
Conclusion Uterine and ovarian dimensions, including volumes, correlate directly with age and pubertal status, except for the (Fundus/Cervical) ratio, which shows individual variability. This normative data could serve as a basis for the evaluation of Uterine and ovarian dimensions and volume in the local population.

Objective To compare fetal cardiac morphology and function between small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA) fetuses using two-dimensional speckle-tracking echocardiography (2D-STE), and to evaluate global longitudinal strain (GLS), global sphericity index (GSI), and fractional area change (FAC) in both ventricles with FetalHQ software.
Methods This cross-sectional observational study included 101 pregnant women, comprising 36 with SGA and 65 with AGA fetuses. Five- to fifteen-second four-chamber view (4CV) cine loops of the fetal heart were acquired and analysed using fetal heart quantification and speckle tracking (FetalHQ) software. GLS, GSI, and FAC of both left ventricle (LV) and right ventricle (RV) were measured.
Results SGA fetuses demonstrated significantly lower GSI values, consistent with a more globular cardiac shape. LV-FAC and RV-FAC were significantly lower in SGA compared with AGA fetuses, reflecting impaired systolic function. Both LV-GLS and RV-GLS values were significantly higher (less negative) in the SGA group, indicating early biventricular systolic dysfunction. These findings align with previously reported adaptive responses of the fetal myocardium to chronic hypoxia.
Conclusion The study highlights distinct alterations in fetal cardiac morphology and function between SGA and AGA groups. FetalHQ-based deformation analysis may potentially detect subclinical biventricular dysfunction in SGA fetuses before Doppler abnormalities become apparent, offering potential for earlier clinical intervention and closer monitoring.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent software or system based on big data information, machine learning and deep learning technologies. The rapid development of science and technology as well as internet communication has enabled AI and big data to gradually apply to many fields of health care. The modern imaging medicine is one of the first areas where AI can play an important role and applications. As cross-sectional imaging, ultrasound (US) is well suitable for AI technology to standardize imaging protocols and improve diagnostic accuracy. This article reviews current AI technology and related clinical applications in the fields of thyroid, breast and liver US.

Objective: To investigate the value of lung ultrasound (LUS) in asymptomatic patients with confirmed COVID-19.
Methods: A retrospective analysis was performed on nine patients in a designated isolation hospital in Sanya from February 22nd, 2020 to February 23rd, 2020. All patients were confirmed with COVID-19 pneumonia by PCR test, but none had the typical symptoms of COVID-19. All patients first underwent LUS examination and then chest computed tomography (CT) scanning. The application value of LUS in asymptomatic confirmed patients with COVID-19 was evaluated, compared with chest CT which was regarded as the golden standard.
Results: Among nine asymptomatic patients with COVID-19, there were two cases (22.22%) with abnormal ultrasonic manifestations, of which one (11.11%) showed a fusion B3-line in zone 5 of the right lung, and the other showed localized pulmonary consolidation in zone 6 of the left lung. The remaining seven cases (77.78%) showed no abnormal changes in LUS, but only clear pleura sliding sign and A-line. Chest CT showed abnormal changes in three cases (33.33%). Two of them (22.22%) showed flocculent high-density shadow at the base of both lungs (especially in the right lung), while the other case showed ground-glass opacity with thickened interlobular septal in the left lower lobe, involving the pleura. There were no abnormalities on chest CT of the remaining six cases (66.67%). The two (22.22%) LUS-positive patients were in complete coincidence with CT-positive patients. This study showed that the coincidence rate of the two examination methods was 88.89%. Taking chest CT as golden standard, the sensitivity, specificity, positive predictive value, negative predictive value, and Kappa value of lung ultrasound in the diagnosis of COVID-19 were 66.67%, 100%, 100%, 85.71%, and 0.727, respectively.
Conclusion: LUS can evaluate lung lesions in asymptomatic patients with COVID-19. Compared with chest CT, the diagnostic coincidence rate and diagnostic consistency of LUS are relatively higher. For this asymptomatic type of patient, ultrasound can be used as a diagnosis method, which can avoid the risk of radiation exposure in a short period of time. As a rapid and dynamic assessment method, LUS can cooperate with remote consultation to provide timely and accurate guidance for clinical diagnosis and treatment when necessary.

Objective: This study evaluated the performance of automated machine-learning to diagnose non-alcoholic fatty liver disease (NAFLD) by ultrasound and compared these findings to radiologist performance.
Methods: 96 patients with histologic (33) or proton density fat fraction MRI (63) diagnosis of NAFLD and 100 patients without evidence of NAFLD were retrospectively identified. The “Fatty Liver” label included 96 patients with 405 images and the “Not Fatty Liver” label included 100 patients with 500 images. These 905 images made up a “Comprehensive Image” group. A “Radiology Selected Image” group was then created by selecting only images considered diagnostic by a blinded radiologist, resulting in 649 images. Cloud AutoML Visionbeta (Google LLC, Mountain View, CA) was used for machine learning. The models were evaluated against three blinded radiologists.
Results: The “Comprehensive Image” group model demonstrated a sensitivity of 88.6% (73.3-96.8%) and a specificity of 95.3% (84.2-99.4%). Radiologist performance on this image group included a sensitivity of 81.0% (74.3-87.6%) and specificity of 86.0% (72.6-99.5%). The model’s overall accuracy was 92.3% (84.0-97.1%), compared with mean individual performance (83.8%, 78.4-89.1%). The “Radiology Selected Image” group model demonstrated a sensitivity of 88.6% (73.3 - 96.8%) and specificity of 87.9% (71.8-96.6%). Mean radiologist sensitivity was 92.4% (86.9-97.9%) and specificity was 91.9% (83.4-100%). The model’s overall accuracy was 88.2% (78.1-94.8%) which was comparable to the individual radiologist performance (92.2%, 90.1-94.2%) and consensus performance (95.6%, 87.6-99.1%).
Conclusions: An automated machine-learning algorithm may accurately detect NAFLD on ultrasound.

Thyroid carcinoma is the most common malignant tumor of the endocrine system. Nearly 90% of thyroid carcinomas are papillary type, of which many are thyroid papillary microcarcinoma (PTMC) with a maximum diameter≤1 cm. Highresolution ultrasound imaging plays an important role in evaluating PTMC and guiding biopsy for pathology as well as appropriate treatment. This review paper discusses the ultrasonography features of PTMC and explores the clinical value of ultrasonography with gene testing in the diagnosis and management of PTMC.

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.

Objective: To evaluate the reliability of ultrasonographic (US) elastography of the sternocleidomastoid (SCM) muscle and to define normal strain ratio and shear wave velocity (SWV) values in healthy infants.
Methods: Two hundred healthy infants (mean age ± standard deviation, 1.64±1.78 month; 113 boys and 87 girls) were included in this prospective study. The thickness of bilateral SCM muscles was measured by B-mode ultrasonography, and the stiffness of SCM muscles was measured in both the longitudinal and transverse sections, symmetrical and extensional supine position, by using strain and shear wave elastography. The correlation between thickness and elastic values of the SCM muscle and the following possible influential factors were evaluated: sex, different sides of SCM muscle, different ultrasonic sections and different infant positions.
Results: Both sex and the side of SCM muscle did not show significant correlation with the thickness or stiffness of the SCM muscle (P > 0.05). The stiffness of SCM muscle in the longitudinal section was significantly greater than in the transverse section (P < 0.05). The measurements of the SCM muscle in the stretching position were significantly greater than those in the symmetrical position (P < 0.05).
Conclusion: The stiffness of SCM measured by US elastography is affected by relative positions of the infants. Therefore, the factor should be taken into account when measuring the stiffness of SCM by US elastography. US elastography can evaluate the stiffness of SCM, which is helpful for clinical diagnosis and treatment of children with torticollis.

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.

Ultrasound has developed as an invaluable tool in diagnosis and proper management in the intensive care unit (ICU). Application of critical care ultrasonography is quite distinct from the routine comprehensive diagnostic ultrasound exam, because the urgent setting mandates a goal-directed approach. Performing accurate and efficient critical care ultrasound requires ultrasound providers to first understand the pathophysiology of the disease and related imaging findings, and then follow the protocols to perform a focused ultrasound exam. In the ongoing coronavirus disease 2019 (COVID-19) pandemic, ultrasound plays an essential role in diagnosing and monitoring critically ill COVID-19 patients in the ICU. Our review focuses on the basics and clinical application of critical care ultrasound in diagnosing common lung disease, COVID-19 pulmonary lesions, pediatric COVID-19, and cardiovascular dysfunction as well as its role in ECMO and interventional ultrasonography.

Contrast-enhanced ultrasound (CEUS) applications in cancer management have expanded over the past two decades. Through detection of vascularization and perfusion changes, CEUS provides a potentially reliable means of early prediction of response to different cancer therapies including systemic chemotherapy and locoregional therapies. Ultrasound-induced cavitation of contrast agents has a range of effects on the surrounding microenvironment. These effects can be manipulated to sensitize the tumors to radio- and chemotherapy, as well as achieve targeted delivery through drug-loaded contrast agents. Newer forms of drug carriers are being developed with improved drug-carrying capacity and tissue penetration. This review aims at providing a synopsis of the latest developments in CEUS’ use in oncologic therapy. While the majority of work described in this review is still in the pre-clinical phases, results have been encouraging and show potential translational benefit for cancer patients in the near future.

Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes, which can lead to neuropathic pain, foot ulcers, and even disability, and greatly reduces survival. Therefore, early diagnosis and prevention of DPN is of great importance to reduce symptoms and disability rate. Ultrasound elastography is a noninvasive method to evaluate changes in nerve tissue composition by obtaining the elastic modulus of tissue and visually displaying the stiffness in the form of images. This paper summarizes the application progress of ultrasound elastography in the evaluation of peripheral neuropathy in recent years, in order to provide reference for the future clinical application of large samples.

By virtue of advantages including no exposure to radiation and low toxicity and side effects, hyperthermia has been increasingly applied in treating cancer and other diseases. However, the challenge of continuous temperature monitoring during hyperthermia limits its further application. Currently, temperature monitoring in the clinic is primarily carried out using invasive thermometry, which is hampered by incomplete detection and pain. To overcome the obvious limitations of invasive thermometry, a variety of noninvasive thermometry methods with suitable accuracy have been explored. Among these, ultrasonic thermal strain imaging (UTSI), which exploits the temperature dependence of ultrasonic echo time shift to form thermal strain images, shows significant potential. It not only possesses the merits of ultrasonography but also displays different tissue characteristics (thermal properties of tissue and sound velocity) from other ultrasound imaging methods, so it has been investigated extensively over the past few years. This paper reviews recent advances in UTSI for noninvasive thermometry and discusses its main limitations, hoping to show the strong clinical application potential of UTSI from solid basic theory and practical research results.

Objectives: To investigate the clinical value of ultrasound in the diagnosis and treatment of reninoma.
Methods: We retrospectively analyzed the ultrasound findings of 9 patients with reninoma confirmed by pathology after surgical resection in our hospital between September 2012 and August 2019. All patients underwent conventional preoperative ultrasonography. Three underwent contrast-enhanced ultrasound (CEUS) and 3 with complete endogenetic tumor underwent intraoperative ultrasonography.
Results: Of the 9 patients with conventional ultrasound, 7 had renal space-occupying lesions and 2 had missed diagnosis. A hypoechoic or hyperechoic solid mass with regular morphology, clear boundary, capsule, weak echo halo around the mass, incomplete thin strip color blood flow signal around the mass were shown in 7 cases. Color Doppler displayed color flow signal of the incomplete thin strip around the mass and arterial blood supply with an internal thin branch. In 3 patients (including 2 with missing diagnosis by conventional ultrasound) who underwent preoperative contrast-enhanced ultrasound, the reninoma manifested as low enhancement, and the perfusion pattern showed as slow wash-in and slow wash-out compared with normal renal cortex. In 3 patients (including 2 cases of missed diagnosis by conventional ultrasound) with completely endogenic reninoma, intraoperative ultrasound clearly showed the tumor characteristics, and all successfully underwent laparoscopic ultrasound-guided partial nephrectomy.
Conclusions: Preoperative conventional ultrasound combined with CEUS, and clinical features, are helpful for the qualitative diagnosis of reninoma. Laparoscopic partial resection is the first-choice treatment for reninoma. Intraoperative ultrasound can provide real-time imaging, accurately evaluate the tumor status, and provide important information for surgeons.

The ultrasound contrast agents currently used in clinics are microbubbles with a large particle size and short circulation time, and their approved clinical applications are limited to endovascular diagnosis and therapy only. The development of ultrasound-responsive nanodroplets (NDs) provides a new approach for extravascular diagnosis and therapy, especially for molecular imaging and targeted therapy of tumors. The NDs with a nano-scaled particle size and a liquid core can maintain their shape and initial diameter during injection, enhancing their EPR effects and facilitating the accumulation of NDs at the tumor site. When exposed to ultrasound, NDs can vaporize and exhibit contrast enhancement at the sites of interest. In addition, the destruction of microbubbles can provide a driving force to facilitate the release of drugs or genes from the microbubbles into target cells, allowing the NDs to act as drug carriers. The development of ultrasound-responsive NDs has shown rapid progress in recent years, while a variety of NDs with excellent properties have been fabricated for targeted diagnosis and drug delivery. In this article, the development of ultrasound-responsive NDs was reviewed in terms of their structure, phase transition properties, and applications in targeted tumor diagnosis and therapy.

Objective: The aims of the current study were to describe the serial CT characteristics of patients infected with COVID-19. In addition, in the light of the CT findings, we tried to determine whether virulence weakens during the transmission with quarantine management.
Methods: Demographics, comorbidity, clinical findings, CT scanning, and scores of the affected lung parenchyma were compared for 131 patients with abnormality on CT images classified as COVID-19 pneumonia and the patients were divided between an imported group (n = 83) and indigenous group (n = 48), according to infected location. Two reviewers scored chest CT examinations for segmental involvement, ground glass opacities, consolidation, and honeycombing opacities. The 55 patients with peak CT "severity score" were selected o make a comparative analysis.
Results: Patients’ demographics and comorbidities and clinical findings did not differ significantly between the two groups. The CT scores distribution trendline of the third CT scanning was lower than the former CT scanning. The peak CT scores trendline of the 55 selected COVID-19 patients in the indigenous group was lower than the imported group. The ROC analysis revealed an area under curve of 0.714 for the CT scanning with an optimal cutoff scores of 2.55 for prediction of contact history, a sensitivity of 76.3%, and a specificity of 52.9%.The peak CT scores of the imported cases were higher than of the indigenous cases and the lung consolidation predominance on CT findings was remarkable in the imported patients (P < 0.05).
Conclusions: CT scanning not only monitored the progression of patients with COVID-19 but also reflected their exposure status to some extent. We suggest that a follow-up CT scanning interval of more than 5 days might be cost effective. The pathogenicity of novel coronavirus may be weakened through transmission under adequate quarantine measures, since indigenous cases have much better progression than imported cases.

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.

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.

Objective: Irreversible electroporation (IRE) is a novel nonthermal ablative technique that transmits pulsatile electricity to enable nanoscale damages of the cellular membrane and induce cellular apoptosis. To assess the safety and efficacy of IRE for locally advanced pancreatic cancer (LAPC).
Methods: Electronic databases of PubMed, Embase, Web of Science, Scopus were searched up to June 2018 for studies comparing the standardized mean differences (SMD) of size, amylase and carbohydrate antigen 19-9 (CA199) levels between pre- and post-operation for patients with pancreatic cancer. Sensitivity and stratified analyses were conducted. Quality was estimated using Newcastle-Ottawa Scale (NOS).
Results: We finally identified 10 studies including 203 participants during a mean 7.06 months of follow-up (range 1 to 29 months). The meta-analyses showed the declined tumor size at 6 months post-IRE but unchanged at 1 month, and increased amylase level at 1-day post-IRE while unchanged at the 1 week. No significant difference of CA199 level was observed between pre-IRE and post-IRE at 1 week and 1 month. No risk of publication bias was detectable, and the favorable quality and validity of all outcomes were assessed based on NOS.
Conclusions: IRE may be a relatively state-of-the-art therapy option for most patients with LAPC if imaging or explorative laparotomy indicated that LAPC was unable to be successfully resected.

In 2009, Hitachi commercialized “Mappie^*1, the world’s first Capacitive Micro-machined Ultrasound Transducer (CMUT) using semiconductor based technology. It generated high quality diagnostic images of mammary glands, thanks to its broad-band characteristics^[1]. This year, the 4^th generation CMUT (4G CMUT) “SML44” has been brought to the market, achieved using advanced design and precise control of the fabrication process. When combined with new imaging technologies avail-able with the ARIETTA^*2 850, the SML44, in addition to excellent image quality, offers commonly used modalities and func- tions such as Tissue Harmonic Imaging (THI), Color Flow Mapping (CFM), Real-time Tissue Elastography^*3 (RTE), and Real-time Virtual Sonography^*4 (RVS). This report introduces the latest technology adopted in the 4G CMUT design.

The Coronavirus Disease 2019 (COVID-19) has spread rapidly throughout the world. COVID-19 is a highly contagious and potentially lethal infection, and as a result, individuals infected with it are treated in isolation units. Teleultrasound (TUS), particularly with the support of the fifth generation (5G) wireless transmission technology, can provide timely monitoring, fast clinical progress assessment, and help to guide interventional produces for patients with COVID-19 in isolation units. It can also reduce the risk of medical workers infection and save medical resources such as equipment and supplies. The purpose of this paper is to present an overview of operating procedures and ongoing planning with TUS for COVID-19 patients in China.

Solitary necrotic nodule of liver (SNNL) is a rare, benign lesion with an uncertain etiology. There are no typical diagnostic clinical or radiological features. The two patients we described underwent liver resection because it was not possible to exclude a malignancy on preoperative imaging. The histopathological findings suggest the SNNL may be parasitic in origin and find parasitic worm in the nodules.

The POCUS Certification Academy, a subdivision of Inteleos, a non-profit certification organization, is striving to promote global standards and international certifications in the field of POCUS to enhance clinician proficiency and ensure patient safety. By offering relevant rigorous assessments, developing continuing education requirements, and promoting the use of point-of-care ultrasound worldwide, the POCUS Certification Academy is laying the foundation for the highest global standards in POCUS credentialing.