WFUMB Ultrasound Open最新文献

{"title":"In vitro and in vivo vein assessment of a novel vein visualizing device to improve first-time peripheral venous access","authors":"Michael D. Liddelow ,&nbsp;Phuoc Hao Ho ,&nbsp;Cara A. Boyce ,&nbsp;Matthew D. Redknap ,&nbsp;Ellaby L. Hansen ,&nbsp;Nicholas M. Buckley ,&nbsp;Katherine Arenson ,&nbsp;Peter J. Carr ,&nbsp;Barry J. Doyle ,&nbsp;Nikhilesh Bappoo","doi":"10.1016/j.wfumbo.2025.100085","DOIUrl":"10.1016/j.wfumbo.2025.100085","url":null,"abstract":"<div><h3>Objective</h3><div>Inserting needles into veins is fundamental to medical care with up to 90% of inpatients requiring a peripheral intravenous catheter/cannula (PIVC) during their stay. Yet 40%–50% of PIVC insertions fail on the first attempt. Here, we present an easy-to-use novel vein visualizing ultrasound prototype device and data from <em>in vitro</em> and <em>in vivo</em> performance.</div></div><div><h3>Methods</h3><div>Locational accuracy was determined through phantom simulated forearm veins, across variations of vein diameter (3–5 mm), depth (10–20 mm), and velocity (10–100 mm/s). Usability studies were conducted on nine clinicians to establish effectiveness and ease of use of the proposed prototype assisted cannulation workflow. Sensitivity of the prototype was demonstrated by scanning 80 forearm veins across 40 healthy volunteers.</div></div><div><h3>Results</h3><div>Our prototype's locational accuracy in simulated forearm veins is 0.21 mm ± 1.71 mm (s.d.) (97.7% agreement to the ground truth, p &lt; .001). Usability studies found that 100% of users were able to handle the prototype in a sterile manner with minimal assistance. The sensitivity was excellent at finding veins (94%). In comparison, sensitivity of vein finding using landmark technique with torniquet (visible 46% and palpable 74%) were far inferior.</div></div><div><h3>Conclusion</h3><div>Initial performance verification and validation studies presented suggest that the proposed ultrasound visualization method can simply and reliably help clinicians detect well-perfused veins at depth and visualize in the coronal view onboard the probe in alignment with the transducers. With improved ergonomics, the device has the potential to be an easy to use device for clinicians performing vascular access.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815846","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":"Mapping the research on self-performed ultrasound: A scoping review","authors":"Miyako Muta ,&nbsp;Mari Abe ,&nbsp;Nao Tamai ,&nbsp;Mizuho Itabashi ,&nbsp;Gojiro Nakagami","doi":"10.1016/j.wfumbo.2025.100084","DOIUrl":"10.1016/j.wfumbo.2025.100084","url":null,"abstract":"<div><h3>Objective</h3><div>Point-of-care ultrasound (POCUS) is widely used for noninvasive, real-time patient assessment but requires specialized skills for image acquisition, limiting its self-care applications. Recent advancements include remote evaluation and artificial intelligence (AI)-assisted interpretation of ultrasound images. Self-performed ultrasound has emerged as a feasible approach but lacks standardized definitions and methods. This study reviews the literature on self-performed ultrasound to assess its current state and challenges, aiding future dissemination and application.</div></div><div><h3>Methods</h3><div>Research articles published through June 2024 were mapped across four databases using keywords related to ‘self’ or ‘tele’ and ultrasound terms. Two reviewers with POCUS expertise conducted primary and secondary screening.</div></div><div><h3>Results</h3><div>Of the 661 articles screened, 20 were included. These lacked a unified definition of self-performed ultrasound. However, all studies involved receiving guidance from an ultrasound specialist, either remotely or in-person, prior to or in real-time, and obtaining ultrasound images by applying the probe to one's own body. Participants did not necessarily have to interpret the images themselves. Participants included patients, pregnant women, healthy volunteers, and astronauts who performed ultrasound on various body parts. Instructions were provided either in-person or remotely, and images that were obtained were evaluated for image quality by experts.</div></div><div><h3>Conclusion</h3><div>With proper guidance, novices can successfully perform self-ultrasound. Standardized education, coupled with remote evaluation and AI-assisted interpretation, could expand the utility of ultrasound for health assessments beyond medical facilities, including in underserved regions and home settings.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using deep learning for thyroid nodule risk stratification from ultrasound images","authors":"Yasaman Sharifi ,&nbsp;Morteza Danay Ashgzari ,&nbsp;Susan Shafiei ,&nbsp;Seyed Rasoul Zakavi ,&nbsp;Saeid Eslami","doi":"10.1016/j.wfumbo.2025.100082","DOIUrl":"10.1016/j.wfumbo.2025.100082","url":null,"abstract":"<div><h3>Background</h3><div>Interpreting thyroid ultrasound images is a tedious task and is prone to interobserver variability. This study proposes a computer-aided diagnosis system (CAD) for thyroid nodule risk classification and management recommendations based on the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TIRADS), which uses a deep learning framework to increase diagnostic accuracy and reliability.</div></div><div><h3>Materials and methods</h3><div>In this retrospective analysis, 2450 thyroid ultrasound images with 3250 nodules were acquired from 1037 patients from 2018 to 2020 at a single institution. Our proposed automated method has four main steps: preprocessing and image augmentation, nodule detection, nodule classification on the basis of ACR-TIRADS, and risk-level stratification and treatment management. We trained different state-of-the-art pretrained convolutional neural networks (CNNs) to choose the best architecture in the detection and classification stage. We compared the performance of our method with that of three experienced radiologists.</div></div><div><h3>Results</h3><div>The comparison results show that the Faster R-CNN ResNet-101 has better performance in the detection stage and that the fine-tuned Xception model achieves 0.98 % accuracy, 0.99 % AUC, 0.967 % precision, and 0.912 % recall when it is selected as the backbone of the classification stage. The results demonstrated that the performance of our algorithm was better than that of the three radiologists, with a mean kappa value of 0.85 % for the five ACR-TIRADS categories compared with the gold standard.</div></div><div><h3>Conclusions</h3><div>This study, in addition to generating a valuable database of thyroid US images, demonstrates that our method can effectively improve the performance of thyroid nodule assessment and can assist radiologists as an adjunctive clinical tool to improve efficiency, reliability, and diagnostic performance in clinical practice.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Added clinical advantage of combining ultrasound with radiograph in assessing ankle injuries: Comparison with MRI","authors":"Yanni He ,&nbsp;Wenhong Yi ,&nbsp;Chenqian Guo ,&nbsp;Wenjun Li ,&nbsp;Changpeng Xu ,&nbsp;Jialin Ye ,&nbsp;Sushu Li ,&nbsp;Meijun Zhou ,&nbsp;Tong Bai ,&nbsp;Tong Wang ,&nbsp;Lixian Liu ,&nbsp;Ning Zhang ,&nbsp;Yu Wang ,&nbsp;Jingjiao Xu ,&nbsp;Hongmei Liu","doi":"10.1016/j.wfumbo.2025.100081","DOIUrl":"10.1016/j.wfumbo.2025.100081","url":null,"abstract":"<div><h3>Objectives</h3><div>To compare the diagnostic accuracy of ultrasound (US) and magnetic resonance imaging (MRI) for ankle ligament injuries, and evaluate ankle injury using the combination of US and X-ray.</div></div><div><h3>Materials and methods</h3><div>A retrospective study was conducted on 1419 participants presenting with ankle injury at hospital between July 2020 and March 2022. 1153 patients included after exclusion underwent US imaging, while 584 patients were also diagnosed by X-ray and 78 accepted MRI. The diagnostic abilities of MRI and US for ankle ligamentous injuries (anterior inferior tibiofibular ligament (AITFL), anterior talofibular ligament (ATFL), calcaneofibular ligament (CFL), medial deltoid ligament (MDL)) were compared by Wilcoxon signed-rank test. The diagnostic performance of US for ligamentous tear was evaluated in terms of sensitivity, specificity, and AUC value, with MRI as the reference standard. The detection rates of X-ray imaging, US imaging, and their combination were compared by Kendall's W test and Wilcoxon signed-rank test.</div></div><div><h3>Results</h3><div>The study population included 558 males and 595 females with a mean age of 30 ± 13 years. There were no significant differences on the grade of ligament injury detected by US and MRI (P _AITFL = 0.52, P _ATFL = 0.15, P _CAL = 0.061, P _MDL = 0.26). The diagnostic sensitivity, specificity and AUC of US imaging for ligamentous tear were 50.0 %, 88.9 % and 0.69 in AITFL, 92.7 %, 60.9 % and 0.77 in ATFL, 90.9 %, 86.6 % and 0.89 in CFL, 66.7 %, 96.0 % and 0.81 in MDL respectively. The detection rate of bone fracture increased significantly after combining US and X-ray imaging (R _{US &amp; x-ray} = 42.6 %, R _US = 36.5 %, R _x-ray = 26.5 %, P &lt; 0.0001).</div></div><div><h3>Conclusion</h3><div>US imaging showed similar diagnostic performance for AITFL, ATFL, CFL and MDL injury as MRI. The combination of US and X-ray imaging can be a useful complementary tool for primary evaluation of ankle injuries.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100081"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment of inoperable pancreatic adenocarcinoma with focused ultrasound and microbubbles in patients receiving chemotherapy","authors":"Margrete Haram ,&nbsp;Rune Hansen ,&nbsp;Ola Finneng Myhre ,&nbsp;Stian Solberg ,&nbsp;Naseh Amini ,&nbsp;Bjørn Atle Angelsen ,&nbsp;Catharina de Lange Davies ,&nbsp;Eva Hofsli","doi":"10.1016/j.wfumbo.2025.100080","DOIUrl":"10.1016/j.wfumbo.2025.100080","url":null,"abstract":"<div><h3>Objective</h3><div>Preclinical trials have demonstrated promising results for increased tumor uptake and therapeutic effect of drugs combined with focused ultrasound (FUS) and microbubbles (MBs). The aim of this clinical trial was to investigate whether FUS and MB could improve the effect of chemotherapy in patients with inoperable pancreatic ductal adenocarcinoma (PDAC) and to investigate safety and feasibility.</div></div><div><h3>Methods</h3><div>Twenty patients with inoperable PDAC were included and randomized for either chemotherapy combined with FUS and MBs or only chemotherapy, but one patient in the FUS and MB group had later to be excluded. A new dual-frequency transducer for imaging (4.5 MHz) and treatment (0.35 MHz) was used. After chemotherapy (FOLFIRINOX or nab-paclitaxel-gemcitabine), the treatment group was exposed to FUS (frequency 0.35 MHz, mechanical index 0.5, pulse length 2.9 ms (1000 cycles), pressure amplitude 0.3 MPa and MBs (SonoVue) for 35 min). Nine boluses of MBs were injected intravenously (i.v) with a 3.5 min interval. Patients were scheduled for two months of treatment. Changes in the size of tumors were determined from Computed Tomography (CT) -images.</div></div><div><h3>Results</h3><div>Treatment with FUS and MB is safe with the used settings. No additional effects of FUS and MBs regarding tumor volume or resectability were observed. Overall survival increased, from 9.8 months to 11.7 months for the patients receiving FUS ​+ ​MB, although not statistically significant.</div></div><div><h3>Conclusion</h3><div>FUS combined with MBs is a safe, feasible, and available strategy for potentially improving the effect of chemotherapy in pancreatic cancer patients. Therapeutic effect was not demonstrated in this trial. Reducing the time between chemotherapy and injection of MB and FUS and optimization of ultrasound parameters may improve the treatment effect. Multicenter trials with standardized protocols should be performed.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100080"},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143354802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Breast cancer ultrasound image segmentation using improved 3DUnet++","authors":"Saba Hesaraki ,&nbsp;Abdul Sajid Mohammed ,&nbsp;Mehrshad Eisaei ,&nbsp;Ramin Mousa","doi":"10.1016/j.wfumbo.2024.100068","DOIUrl":"10.1016/j.wfumbo.2024.100068","url":null,"abstract":"<div><div>Breast cancer is the most common cancer and the main cause of cancer-related deaths in women around the world. Early detection reduces the number of deaths. Automated breast ultrasound (ABUS) is a new and promising screening method for examining the entire breast. Volumetric ABUS examination is time-consuming, and lesions may be missed during the examination. Therefore, computer-aided cancer diagnosis in ABUS volume is highly expected to help the physician for breast cancer screening. In this research, we presented 3D structures based on UNet, ResUNet, and UNet++ for the automatic detection of cancer in ABUS volume to speed up examination while providing high detection sensitivity with low false positives (FPs). The three investigated approaches were evaluated on equal datasets in terms of training and testing as well as with proportional hyperparameters. Among the proposed approaches in classification and segmentation problems, the UNet++ approach was able to achieve more acceptable results. The UNet++ approach on the dataset of the Tumor Segmentation, Classification, and Detection Challenge on Automated 3D Breast Ultrasound 2023 (Named TSCD-ABUS2023) was able to achieve Accuracy ​= ​0.9911 and AUROC ​= ​0.9761 in classification and Dice ​= ​0.4930 in segmentation.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100068"},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilization of evoked vibrational signatures under ultrasound examination as a novel method of tissue classification","authors":"Baxton R. Chen","doi":"10.1016/j.wfumbo.2024.100078","DOIUrl":"10.1016/j.wfumbo.2024.100078","url":null,"abstract":"<div><h3>Background</h3><div>Ultrasound interpretation requires extensive training and can be subjective and inexact. We previously reported a novel method of identifying tissues by analyzing the evoked vibrational signatures based on inherent tissue structural integrity and density during ultrasound examination. We now demonstrate the evoked tissue vibrational signatures of different tissues.</div></div><div><h3>Results</h3><div>During ultrasound examination, the evoked vibrational signatures are detected by a portable dynamic signal recorder and interpreted based on time, amplitude, dampening, and frequency on single or multiple degrees of freedom. Various organs and tissue types were examined using ultrasound and unique vibrational signatures were recorded and stored in a proprietary database. Representative signatures of liver, kidney, lungs, and muscles were demonstrated, and their vibration frequencies and amplitudes were compared.</div></div><div><h3>Conclusion</h3><div>We developed a method of using vibrational signatures to identify tissues under ultrasound examination, and we now report the signatures of different tissue types.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protocol refinement and inter- and intra-rater reliability assessment of ultrasound-based measurements of hamstring architecture, and echo intensity, and intra-rater reliability of shear wave elastography","authors":"Maria Belinda Cristina C. Fidel ,&nbsp;Jan Tyrone Cabrera ,&nbsp;Christine Grace V. Ogerio ,&nbsp;Johann Querijero ,&nbsp;Helen A. Banwell ,&nbsp;Consuelo B. Gonzalez-Suarez","doi":"10.1016/j.wfumbo.2025.100079","DOIUrl":"10.1016/j.wfumbo.2025.100079","url":null,"abstract":"<div><h3>Objectives</h3><div>The increase in hamstring injuries highlights gaps in current understanding and prevention strategies. Hamstring architecture, quality, and mechanical properties influence force production, offering key insights into muscle health and function. This study aims to refine a standardized protocol for hamstring image acquisition and digitization and to assess inter- and intra-rater reliability of measurements like fascicle length, pennation angle, muscle thickness, cross-sectional area, echo intensity, and shear wave elastography.</div></div><div><h3>Methods</h3><div>This study had two phases: pilot and protocol refinement and intra- and inter-rater reliability of image digitization of fascicle length, pennation angle, muscle thickness, cross-sectional area, and echo intensity and intra-rater reliability of shear wave elastography using intra-class correlation coefficient.</div></div><div><h3>Results</h3><div>This study developed and refined a hamstring image acquisition and digitization protocol, focusing on architecture, quality, and stiffness along its length at rest and during isometric contraction. Using Image J, intra-rater reliability for digitizing fascicle length, pennation angle, muscle thickness, cross-sectional area, and echo intensity was excellent. Inter-rater reliability ranged from moderate to excellent across all variables. Shear wave elastography showed moderate to excellent intra-rater reliability, with higher consistency during contraction than rest.</div></div><div><h3>Conclusion</h3><div>The authors refined a standardized protocol for ultrasound imaging of hamstring architecture, quality, and stiffness, as well as digitization of fascicle length, pennation angle, muscle thickness, cross-sectional area, and echo intensity at rest and during isometric contraction using ImageJ. The protocol demonstrated moderate to excellent intra- and inter-rater reliability, with image markings further enhancing measurement consistency.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A proposal to use bubble exposure time instead of bubble count to grade PFOs","authors":"Ruud W. Keunen,&nbsp;Mark M. Rubin,&nbsp;Emily Ho","doi":"10.1016/j.wfumbo.2024.100077","DOIUrl":"10.1016/j.wfumbo.2024.100077","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"3 1","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143127955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum regarding missing disclaimer in previously published articles","authors":"Saubhagya Srivastava,&nbsp;Garvit D. Khatri","doi":"10.1016/j.wfumbo.2024.100072","DOIUrl":"10.1016/j.wfumbo.2024.100072","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100072"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}