WFUMB Ultrasound Open最新文献

{"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}

{"title":"Lasting liver injury following COVID-19 infection characterized by ultrasound shear wave elastography","authors":"Firouzeh Heidari ,&nbsp;Theodore T. Pierce ,&nbsp;Madeleine Sertic ,&nbsp;Siddhi Hegde ,&nbsp;David Hunt ,&nbsp;Arinc Ozturk ,&nbsp;Anthony E. Samir","doi":"10.1016/j.wfumbo.2024.100074","DOIUrl":"10.1016/j.wfumbo.2024.100074","url":null,"abstract":"<div><h3>Objective</h3><div>To assess for lasting hepatic injury using ultrasound shear wave elastography (SWE) in patients following COVID-19 infection.</div></div><div><h3>Methods</h3><div>In this retrospective cohort study, patients with SWE exams between January 2019 and 2022 were categorized into three groups: 1) post-COVID-19 subjects with positive COVID-19 PCR assay, 2) random sample of contemporaneous unexposed patients with only negative prior COVID-19 PCR tests, and 3) random sample of pre-pandemic patients to address possible undiagnosed COVID-19 infection in the contemporaneous group. The average difference in median Young's modulus between post-COVID-19 patients and controls was calculated using a linear regression model after controlling for confounders.</div></div><div><h3>Results</h3><div>130 patients (mean age ± SD, 56 years ± 13; 66 women) were evaluated, including 30 patients after COVID-19 infection (mean age ± SD, 53 years ± 11; 15 women), 50 contemporaneous unexposed patients (mean age ± SD, 55 years ± 13; 27 men), and 50 pre-pandemic patients (mean age ± SD, 58 years ± 13; 28 women). SWE scans were performed on General Electric LOGIQ E9 or E10 an average of 44 (range, 12–81) weeks after COVID-19 infection. COVID-19 infection was associated with an average increase in median Young's modulus of 1.5 kPa (95 % CI [0.44, 2.355], p = 0.006) after controlling for age, sex, obesity, history of chronic liver disease, and time period. Post-COVID-19 patients had higher liver stiffness compared to contemporaneous controls (median = 7.58 vs 5.99 kPa, p = 0.001) but not pre-pandemic controls (median = 7.00 kPa, p = 0.51).</div></div><div><h3>Conclusions</h3><div>COVID-19 infection is associated with increased liver stiffness, which may reflect lasting hepatic injury such as ongoing inflammation or the development of fibrosis. US SWE may serve as a noninvasive tool for long-term liver health monitoring after COVID-19 infection.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100074"},"PeriodicalIF":0.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663950","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":"Body habitus vs. hepatic steatosis: Understanding the drivers of non-diagnostic shear wave elastography","authors":"Sai Dhanush Reddy Jeggari ,&nbsp;Lauren A. Ling ,&nbsp;Kathleen R. Pope ,&nbsp;Anthony E. Samir ,&nbsp;Theodore T. Pierce","doi":"10.1016/j.wfumbo.2024.100073","DOIUrl":"10.1016/j.wfumbo.2024.100073","url":null,"abstract":"<div><h3>Purpose</h3><div>Shear Wave Elastography (SWE) is frequently non-diagnostic in obese patients, a key cohort at risk for liver disease. Subcutaneous fat and hepatic steatosis are suspected drivers, but their relative contribution is unknown. We compare ultrasound-guided attenuation parameter (UGAP), a marker of steatosis, body mass index (BMI), and skin-to-liver capsule distance (SCD) to predict non-diagnostic SWE.</div></div><div><h3>Materials and methods</h3><div>This IRB approved, single center retrospective study included adults with SWE and diagnostic UGAP exams between June and December 2023. Fasting patients were imaged in supine position with right arm abducted, via an intercostal window during neutral breath hold. The median of 10 measurements in the right lobe was analyzed for SWE and UGAP. SWE measurements were ≥2 cm from the capsule while UGAP depth was fixed at 4 cm from the probe. Exams were considered non-diagnostic for SWE (measured in m/s) if the Interquartile Range/Median Ratio (IQR/M) was &gt;15 % or if diagnostic measurements could not be obtained. UGAP IQR/M &gt; 30 % or complete measurement failure was considered non-diagnostic. Univariate Receiver Operating Characteristic (ROC) curves compared UGAP (dB/cm/MHz), BMI (kg/m²), and SCD (mm) prediction of non-diagnostic SWE by the DeLong test.</div></div><div><h3>Results</h3><div>87 participants (48 male) with mean age of 54.7 ± 15.7 years were analyzed. UGAP [OR: 1.63 per 0.1 dB/cm/MHz, p = 0.02, AUC = 0.66], BMI [OR: 1.23, p &lt; 0.001, AUC = 0.77], and SCD [OR: 1.27, p &lt; 0.001, AUC = 0.81) were predictors of non-diagnostic SWE. UGAP prediction of non-diagnostic SWE was similar in subgroups with the measurement region at least 1 cm (OR: 1.64, n = 68), and 2 cm (OR: 1.54, n = 16) from the liver capsule. UGAP was a worse predictor than SCD (p = 0.04), while not significantly different than BMI (p = 0.15). BMI and SCD did not differ in predicting non-diagnostic SWE (p = 0.44).</div></div><div><h3>Conclusion</h3><div>Our small preliminary study demonstrated that body habitus and hepatic attenuation, a marker of steatosis, both contribute to non-diagnostic SWE exams, however body wall thickness is the key driver. This informs patient selection for SWE exams and guides future research to mitigate these technical shortcomings.</div></div><div><h3>Clinical relevance/application</h3><div>Patients with hepatic steatosis and large body habitus are at increased risk of non-diagnostic ultrasound shear wave elastography (SWE) exams. These patients, particularly those with increased body wall thickness, may benefit from liver fibrosis evaluation with alternative approaches following an initial non-diagnostic SWE exam. Researchers working to improve SWE technique should pay particular attention to mitigating attenuation and phase aberration from the body wall as this is the key driver of non-diagnostic exams.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100073"},"PeriodicalIF":0.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664029","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}