WFUMB Ultrasound Open最新文献

{"title":"The top 100 most-cited publications on contrast-enhanced ultrasound: A bibliometric analysis","authors":"Hayden M. Fox ,&nbsp;Alexander Douglas ,&nbsp;Griffin Hughes ,&nbsp;Zachariah Fisher ,&nbsp;Matt Vassar","doi":"10.1016/j.wfumbo.2023.100020","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100020","url":null,"abstract":"<div><h3>Introduction</h3><p>Contrast-enhanced ultrasound (CEUS) is a modality of growing interest because of its improved detection rates when evaluating lesions and better success rates when administering interventions, compared to standard ultrasound. Along with its diagnostic value, the possibilities for therapeutic innovation with CEUS are immense. While there is much discussion of CEUS and its potential applications, there is a scarcity of studies characterizing the current state of CEUS research. Bibliometric analysis, a method of gaining an overview of a body of literature, quantitatively analyzes large amounts of information within publications to reveal trends. This study used bibliometric analysis to characterize the state and nature of the 100 most-cited publications on CEUS.</p></div><div><h3>Methods</h3><p>We identified the 100 most-cited publications on contrast-enhanced ultrasound using the Scopus database. We recorded various bibliometric data points from these publications, with additional data collected for the 25 most-cited publications. Data were analyzed via R, R studio, and VOSviewer.</p></div><div><h3>Results</h3><p>Our analysis of the top 100 publications revealed that 38 of the listed first authors were from the United States. Eleven articles were in <em>Radiology</em>, six were in <em>Ultraschall in der Medizin,</em> and six were in <em>Ultrasound in Medicine and Biology,</em> with mean citation counts of 269.2, 433.3, and 291.7 per publication, respectively. The University of Virginia Health System produced the most publications in the top 100. Seventeen of the top 25 most-cited articles were clinical practice guidelines. Four of the top five papers were clinical practice guidelines pertaining to hepatocellular carcinoma.</p></div><div><h3>Conclusion</h3><p>In conclusion, several interesting trends were demonstrated in our bibliometric analysis. The most heavily cited articles from the top 100 were published between 2010 and 2019, which is in contrast to the finding that the previous decade contained more articles published in the top 100. This trend indicates a significant scientific impact from those articles published from 2010 to 2019. The substantial number of articles addressing applications of CEUS in diagnosing and treating liver diseases correlates closely with their global disease burden; therefore, this finding potentially explains the rise in impactful research production within the field. This study is the first to characterize the landscape of CEUS research, and future studies should further this work as the field continues to develop. Thus, our analysis reveals many important findings in the current state of CEUS research and its impact on medical imaging.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100020"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49761666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound: The cornerstone of Radiology in Low and Middle-income countries","authors":"Asim Mahat,&nbsp;Gopal Kumar Yadav,&nbsp;Upama Mishra,&nbsp;Binod Mehta","doi":"10.1016/j.wfumbo.2023.100021","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100021","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49726939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contrast-enhanced ultrasound (CEUS) in the evaluation of bladder pathologies: Review","authors":"Saubhagya Srivastava ,&nbsp;Daniel Van Roekel ,&nbsp;Jonathan L. Wright ,&nbsp;Matthew Bruce ,&nbsp;Manjiri Dighe","doi":"10.1016/j.wfumbo.2023.100019","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100019","url":null,"abstract":"<div><p>Contrast-enhanced Ultrasound (CEUS) is an advanced ultrasound (US) technique that utilizes specific US contrast agents (UCAs) to provide a more detailed evaluation of anatomic structures and parenchymal vasculature. Although the use of CEUS has been well-established in echocardiography and imaging of focal liver lesions, the updated guidelines by WFUMB-EFSUMB from 2018 also talk about the use of CEUS in the urinary bladder under non-hepatic applications of CEUS. The most common application of CEUS in the urinary bladder is the differentiation between bladder cancer and benign lesions such as a hematoma in patients presenting with hematuria. CEUS is also a promising imaging modality that can be used to detect and stage bladder urothelial cancers. CEUS greatly improves the diagnostic accuracy of conventional US techniques in the detection of bladder cancer. It has been shown previously that low- and high-grade bladder cancers tend to behave differently on the time-intensity curves (TIC) of CEUS. Low-grade bladder cancers tend to show a TIC with an early peak enhancement with a slow plateau and a longer time taken for contrast disappearance, whereas high-grade bladder cancers tend to show a rapid and high peak enhancement with rapid contrast disappearance (fast wash-out phase). In patients presenting with hematuria, CEUS accurately differentiates the etiology as either malignant or benign (i.e., hematoma) as hematomas are non-vascular lesions and do not show any enhancement as opposed to bladder cancers which tend to be highly vascular. CEUS holds several advantages such as being widely available, quick, and cost-efficient. CEUS is also suitable for patients who have contraindications to undergo CT, MRI, and/or conventional cystoscopy. Additionally, CEUS can be safely performed in patients with renal failure as UCAs are not nephrotoxic and not deposited in tissues as they are blood pool agents and are metabolized and excreted via pulmonary breathing.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100019"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49733761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contrast enhanced ultrasound diagnosis of complex cystic renal mass: Interobserver variability based on different Bosniak classification systems","authors":"Pei Sun ,&nbsp;Qing Lu ,&nbsp;Luxia Jing ,&nbsp;Cuixian Li ,&nbsp;Jiexian Wen ,&nbsp;Cong Li ,&nbsp;Jingjing Wang ,&nbsp;Hongli Cao ,&nbsp;Beijian Huang","doi":"10.1016/j.wfumbo.2023.100007","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100007","url":null,"abstract":"<div><p>The diagnostic value of Bosniak classification based on contrast enhanced ultrasound (CEUS) on complex cystic renal mass (CRM) was compared among different observers. From 2012 to 2022, 212 complex CRMs, confirmed by pathology or at least 1-year imaging follow-up, were enrolled. The CEUS images of CRM were retrospectively analyzed by two reviewers with different experience in kidney CEUS examination, and each lesion was given the categorizations according the Bosniak ver. 2015 and ver. 2019, respectively. There was good inter-observer agreement (<em>k</em> = 0.689; <em>p</em> &lt; 0.05) for Bosniak ver. 2019. With Bosniak ver. 2019, senior and junior reviewer correctly classified 44 (83.02%), 40 (75.47%) benign lesions as low grade (Ⅰ ∼ ⅡF), and 94 (94.95%), 80 (80.81%) malignant tumors as high grade (Ⅲ or Ⅳ), respectively. Meanwhile, the combination of Bosniak 2019 and senior reviewer demonstrated the highest area under the receiver operating characteristic curve (Az: 0.875, all <em>p</em> &lt; 0.05) than other groups, with the highest specificity (81.10%) and sensitivity (93.90%) among all the groups (95% CI, 0.807–0.943; <em>p</em> &lt; 0.05), respectively. Overall, the senior reviewer combined with Bosniak ver. 2019 was the best choice for the diagnosis of complex CRM.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100007"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49761686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of teleoperated robotic echocardiography – A pilot study","authors":"H. Solvin ,&nbsp;S. Sajadi ,&nbsp;M. Lippert ,&nbsp;R. Massey ,&nbsp;H. Holmstrøm ,&nbsp;O. Elle ,&nbsp;K. Mathiassen ,&nbsp;H. Brun","doi":"10.1016/j.wfumbo.2023.100018","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100018","url":null,"abstract":"<div><h3>Purpose</h3><p>Echocardiography is dependent on highly specialized healthcare professionals. Teleoperated examinations could provide higher availability of specialized care for patients living in rural areas. The objective of this study was to evaluate the feasibility of a teleoperated robotic echocardiography system.</p></div><div><h3>Methods</h3><p>Twenty-three healthy volunteers underwent teleoperated echocardiography, compared to standard bedside echocardiography. Examination time, image quality, ability to assess cardiac structures, measurements of left ventricular fractional shortening and blood flow velocities were compared. Image quality was rated on a scale from 0 to 3.</p></div><div><h3>Results</h3><p>Approximately 90% of robotically acquired images were rated as medium quality or better and approximately 80% of cardiac structures were evaluated as assessable by at least one evaluator. Mean image quality was lower for robotic (1.6 ± 0.3) compared to standard clinical examinations (2.5 ± 0.4) (p = 0.001). Left ventricular fractional shortening from the robotic examinations was 2.2%, p = 0.160 (absolute value) lower compared to the reference and showed a variation coefficient of 19%. The calculated Doppler insonation angles deviated from the reference by more than 25° for three of four blood flow velocity measurements. The teleoperated examinations had a mean examination time of 26.4 min and were 1.9 times longer compared to the reference (p = 0.001).</p></div><div><h3>Conclusion</h3><p>This feasibility study of teleoperated echocardiography shows promising results for the presented system. Clinically satisfactory imaging, particularly measurements of dimension and velocities, requires further development of the system.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100018"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49726936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of color Doppler ultrasound and shear-wave elastography for characterization of intestinal inflammation and fibrosis in Crohn's disease: A comparison with surgical histopathology analysis","authors":"Tomás Ripollés ,&nbsp;María Jesús Martínez-Pérez ,&nbsp;José María Paredes ,&nbsp;Alfonso Maldonado ,&nbsp;Encarna Martí ,&nbsp;Gregorio Martin ,&nbsp;Lidia Navarro ,&nbsp;Andrés Painel","doi":"10.1016/j.wfumbo.2023.100017","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100017","url":null,"abstract":"<div><h3>Background &amp; aims</h3><p>Differentiation between predominantly inflammatory or fibrous strictures is particularly important to decide the optimal therapy in patients with refractory symptoms in Crohn's disease. The purpose of this research was to evaluate the accuracy of color Doppler US and Shear Wave Elastography in differentiating the degree of inflammation or fibrosis in ileal strictures in patients with Crohn's disease by comparing with resected bowel samples.</p></div><div><h3>Materials and methods</h3><p>Preoperative ultrasound examination, including SWE, was performed in 30 consecutive patients with Crohn's disease undergoing elective bowel resection. Ultrasound variables, Shear Wave Elastography quantitative analysis and visual elastographic color map, were prospectively evaluated. Histopathology grading of acute inflammation using the acute inflammatory score and the degree of fibrostenosis was performed.</p></div><div><h3>Results</h3><p>In pathology analysis there were 21 segments with severe fibrosis. The mean Shear Wave Elastography value of the stenotic bowel wall was significantly higher in severe fibrosis (3.56 ± 1.4 m/s) than in mild fibrosis (1.89 ± 0.75 m/s) (<em>P</em> = 0.004). Using 2.5 m/s as the cut-off value to discriminate between mild and severe fibrosis, the sensitivity and specificity was 76.2% and 100% with an area under the curve (AUC) of 0.889. The sensitivity and specificity of the visual assessment of the elastographic color map in differentiating severe from mild fibrosis was 82.4% and 88.9%.</p></div><div><h3>Conclusions</h3><p>this study suggests that Shear Wave Elastography is accurate for detecting severe intestinal fibrosis in Crohn's disease patients. This information may be useful in the treatment strategy for CD.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49726925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pitfalls in sonographic evaluation of placenta accreta spectrum","authors":"Anne Kennedy ,&nbsp;April Griffith ,&nbsp;Brett Einerson ,&nbsp;Paula J. Woodward","doi":"10.1016/j.wfumbo.2023.100016","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100016","url":null,"abstract":"<div><p>Placenta accreta spectrum (PAS) is a serious complication of pregnancy. Preoperative diagnosis improves outcome for both mother and infant therefore it is critical that obstetric imagers are aware of the signs of the disease and know how to avoid pitfalls in diagnosis. This article reviews and illustrates the sonographic signs that are most helpful in detection of PAS and provides tips on avoiding pitfalls in diagnosis.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100016"},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49726923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Echoes in space: Online training and AI's potential in advancing ultrasound competency","authors":"Rebeca Tenajas,&nbsp;David Miraut","doi":"10.1016/j.wfumbo.2023.100015","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100015","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100015"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49712297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rethinking ultrasound probe maintenance in the era of AI","authors":"Rebeca Tenajas,&nbsp;David Miraut","doi":"10.1016/j.wfumbo.2023.100014","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100014","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100014"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting female breast cancer by artificial intelligence: Combining clinical information and BI-RADS ultrasound descriptors","authors":"Wen-Jia Shen ,&nbsp;Hai-Xia Zhou ,&nbsp;Ye He ,&nbsp;Wei Xing","doi":"10.1016/j.wfumbo.2023.100013","DOIUrl":"https://doi.org/10.1016/j.wfumbo.2023.100013","url":null,"abstract":"<div><p>This study aimed to use Artificial Intelligence (AI) Deep Learning (DL) techniques to predict female breast cancer detected by ultrasound based on clinical data and Breast Imaging Reporting and Data System (BI-RADS) Ultrasound (US) descriptors. We retrospectively gathered data on clinical information and BI-RADS US descriptors of breast lesions from 1051 female patients, forming a comprehensive dataset. Two datasets (A and B) were derived by selecting different variables. A BI-RADS DL-based Network (BD-Net) was developed and trained on Dataset A and B, and its performance was evaluated on an external test set. Radiologists also classified Dataset B and the external test set using BI-RADS US. Performance in predicting the probability of malignancy was evaluated by calculating the Area Under Curve (AUC), accuracy, sensitivity, and specificity. BD-Net achieved an accuracy of 92.5% (95%CI, 90.5–94.2) in predicting breast cancer with a sensitivity of 93.0% (95%CI, 90.3–95.4), a specificity of 92.1% (95%CI, 89.7–94.6), and an AUC of 0.97 (95%CI, 0.96–0.98) on the training data set of dataset A. On the external dataset, the BD-Net showed a sensitivity of 93.8% (95%CI, 87.5–98.8), a specificity of 91.0% (95%CI, 85.0–96.0), and an AUC of 0.92 (95%CI, 0.88–0.97) for predicting breast cancer. The radiologists predicted breast cancer on Dataset B and the external test set with AUC values between 0.75 (95%CI, 0.75–0.79) and 0.82 (95%CI, 0.77–0.87). These results indicate that the BD-Net is effective for predicting ultrasound-detected female breast cancer.</p></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"1 2","pages":"Article 100013"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49733899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}