WFUMB Ultrasound Open最新文献

{"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}

{"title":"Cutoff value of ultrasonic attenuation coefficient by Att.PLUS technique for diagnosis and grading of hepatic steatosis using MRI-derived proton density fat fraction (MRI-PDFF) as a reference standard","authors":"Natthaporn Tanpowpong ,&nbsp;Aimpavee Keeratiratwattana ,&nbsp;Pisit Tangkijvanich","doi":"10.1016/j.wfumbo.2024.100043","DOIUrl":"10.1016/j.wfumbo.2024.100043","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100043"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093832","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":"Corrigendum to “Ultrasound imaging measurements to determine reduced diaphragm thickness and relevance to breathing pattern disorders diagnosis in females” [WFUMB Ultrasound Open 1 (2) (2023) 100010]","authors":"S. Peirce ,&nbsp;S. Mooney ,&nbsp;M. Rohan ,&nbsp;R. Ellis","doi":"10.1016/j.wfumbo.2024.100071","DOIUrl":"10.1016/j.wfumbo.2024.100071","url":null,"abstract":"","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100071"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093833","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":"Detection of fetal congenital heart defects on three-vessel view ultrasound videos","authors":"Netzahualcoyotl Hernandez-Cruz ,&nbsp;Olga Patey ,&nbsp;Bojana Salovic ,&nbsp;Divyanshu Mishra ,&nbsp;Md Mostafa Kamal Sarker ,&nbsp;Aris Papageorghiou ,&nbsp;J. Alison Noble","doi":"10.1016/j.wfumbo.2024.100075","DOIUrl":"10.1016/j.wfumbo.2024.100075","url":null,"abstract":"<div><h3>Background:</h3><div>Detecting congenital heart defects (CHDs) is challenging due to the difficulty of identifying subtle abnormalities in fetal heart structures.</div></div><div><h3>Objectives:</h3><div>To develop a deep learning-based method for segmenting vessels in the three-vessel view (3VV) to characterise the vessels by size and spatial relationships to detect abnormal fetal hearts.</div></div><div><h3>Methods:</h3><div>We present a deep learning-based method that takes as input a fetal heart ultrasound (US) video of the three vessels view (3VV) and an anchor frame, which contains the segmentation of the pulmonary artery (PA), aorta (Ao), and superior vena cava (SVC) in the 3VV. The method automatically segments the anatomical structures subsequent to the anchor frame and classifies the US video as normal or abnormal. The method consists of two phases. The first phase combines three residual networks (ResNets) extended with a self-attention block and a refinement module. The second phase extends a ResNet with two CoordConv layers integrating spatial coordinates. We assess segmentation performance using the intersection over union (IoU) and dice similarity coefficient (DSC) metrics and classification of US videos using sensitivity and specificity. We also investigate the tolerance to failure of the method by introducing mislabelled anchor frames. The dataset used in this study consists of 150 US videos of the 3VV; 50 videos were used for training, and 100 videos (50 normal videos, 50 abnormal videos) for testing.</div></div><div><h3>Results:</h3><div>In terms of anatomical structure segmentation accuracy, the method achieves an average IoU of 89.5% (99.5% for PA, 85.0% for Ao, and 84.1% for SVC), and an average DSC of 0.950% (0.946% for PA, 0.969% for Ao, and 0.934% for SVC). Detection of abnormal videos achieved a sensitivity of 0.99 and specificity of 1.0. The tolerance to failure analysis shows a decrease in the sensitivity of 0.023 and 0.015 for normal and abnormal case videos, respectively.</div></div><div><h3>Conclusions:</h3><div>The initial evaluation of our approach to fetal CHDs on 3VV ultrasound videos is promising but requires further refinement and evaluation on a larger dataset to assess clinical utility. The approach is designed to be translatable to low-resource settings where fetal echocardiography experts are unavailable due to the simple acquisition protocol.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720135","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}