{"title":"A proposal to use bubble exposure time instead of bubble count to grade PFOs","authors":"Ruud W. Keunen, Mark M. Rubin, 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":"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 , Aimpavee Keeratiratwattana , 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}
Netzahualcoyotl Hernandez-Cruz , Olga Patey , Bojana Salovic , Divyanshu Mishra , Md Mostafa Kamal Sarker , Aris Papageorghiou , J. Alison Noble
{"title":"Detection of fetal congenital heart defects on three-vessel view ultrasound videos","authors":"Netzahualcoyotl Hernandez-Cruz , Olga Patey , Bojana Salovic , Divyanshu Mishra , Md Mostafa Kamal Sarker , Aris Papageorghiou , 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}
Firouzeh Heidari , Theodore T. Pierce , Madeleine Sertic , Siddhi Hegde , David Hunt , Arinc Ozturk , Anthony E. Samir
{"title":"Lasting liver injury following COVID-19 infection characterized by ultrasound shear wave elastography","authors":"Firouzeh Heidari , Theodore T. Pierce , Madeleine Sertic , Siddhi Hegde , David Hunt , Arinc Ozturk , 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}
Sai Dhanush Reddy Jeggari , Lauren A. Ling , Kathleen R. Pope , Anthony E. Samir , Theodore T. Pierce
{"title":"Body habitus vs. hepatic steatosis: Understanding the drivers of non-diagnostic shear wave elastography","authors":"Sai Dhanush Reddy Jeggari , Lauren A. Ling , Kathleen R. Pope , Anthony E. Samir , 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 >15 % or if diagnostic measurements could not be obtained. UGAP IQR/M > 30 % or complete measurement failure was considered non-diagnostic. Univariate Receiver Operating Characteristic (ROC) curves compared UGAP (dB/cm/MHz), BMI (kg/m<sup>2</sup>), 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 < 0.001, AUC = 0.77], and SCD [OR: 1.27, p < 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}
Adrien Besson , Baptiste Hériard-Dubreuil , Joel Gay , Adèle Delamarre , Juliette Foucher , Claude Cohen-Bacrie
{"title":"Quantitative ultrasound for steatosis assessment using Hepatoscope®: Confounding technical factors","authors":"Adrien Besson , Baptiste Hériard-Dubreuil , Joel Gay , Adèle Delamarre , Juliette Foucher , Claude Cohen-Bacrie","doi":"10.1016/j.wfumbo.2024.100069","DOIUrl":"10.1016/j.wfumbo.2024.100069","url":null,"abstract":"<div><div>Quantitative ultrasound (QUS) is a well-suited modality to address large-scale screening and monitoring of liver steatosis as it is low-cost, non-invasive, and point-of-care. However, technical and biological confounders lead to difficulties in establishing universal cutoff values for diagnosis. Hepatoscope® remedies this issue as it integrates a unique QUS measurement technique enabling the simultaneous measurements of the backscattering coefficient, the attenuation coefficient and the speed of sound. Such measurements are performed in a large two-dimensional region of interest (ROI) and in a free breathing regime such that a relatively large portion of the liver is sampled. We studied the influence of the size of the ROI, its depth and the number of measurements on the QUS parameters with Hepatoscope® both in vitro on four calibrated phantoms and clinically on 60 participants referred to a hepatology consultation for chronic liver disease. We demonstrated that using large ROIs consistently improves the system reliability and the clinical applicability. We did not observe any systematic effect related to the depth of the ROI. We also showed that averaging consecutive measurements leads to better system reliability and better clinical applicability.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100069"},"PeriodicalIF":0.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539515","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}
Rudolf W.M. Keunen , Hester Temmink , Mirjam Schipper , Geert Jan Romers , Paulien M. van Kampen , Sayonara Daal
{"title":"Validation of an algorithm that separates gaseous micro-embolic signals and artifacts during transcranial Doppler persistent foramen ovale examinations","authors":"Rudolf W.M. Keunen , Hester Temmink , Mirjam Schipper , Geert Jan Romers , Paulien M. van Kampen , Sayonara Daal","doi":"10.1016/j.wfumbo.2024.100067","DOIUrl":"10.1016/j.wfumbo.2024.100067","url":null,"abstract":"<div><h3>Objective</h3><div>Persistent foramen ovale (PFO) is a risk factor for young stroke. Agitated saline serum is used to deliver small gaseous emboli to the brain in transcranial Doppler ultrasound (TCD) for the detection and grading of PFO. In this study we validated a PFO algorithm that can differentiate between gaseous emboli and artifacts.</div></div><div><h3>Methods</h3><div>The validation cohort comprised 18 patients with positive PFO examinations. The PFO algorithm uses a binary tree that separates high-intensity transients signals (HITs) into gaseous emboli or artifacts based on intensity, zero-crossing, and velocity parameters.</div></div><div><h3>Results</h3><div>The cohort exhibited 385 macroscopic gaseous emboli meeting the >3 dB criterion. An additional 137 gaseous emboli were noticed below the 3-dB intensity cutoff value. The low-intensity gaseous emboli included both macroscopic and microscopic air bubbles observed in curtains. Nearly all emboli (98 %) above the 3-dB level showed overt frequency modulation. The overall accuracy of the PFO algorithm in discriminating macroscopic gaseous emboli and artifacts was 96.4 %, with a similar percentage of sensitivity and specificity (96.4 %). The inter-observer agreement of human experts was excellent (ic-CC 0.989 and 0.953).</div></div><div><h3>Conclusions</h3><div>Macroscopic gaseous emboli and artifacts during PFO exams can be accurately discriminated by the PFO algorithm. The PFO algorithm cannot be used as a standalone system as microscopic air bubbles might escape proper identification. This knowledge will be important in the design of future PFO algorithms which should make it possible to classify the PFO grade without the interference of humans.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427312","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}
Alyssa M. Tondat, Monica R. Maly, Marina Mourtzakis, Andrew C. Laing
{"title":"Intra-rater reliability of B-mode ultrasound in the measurement of soft tissue thickness and composition over the lateral proximal femur","authors":"Alyssa M. Tondat, Monica R. Maly, Marina Mourtzakis, Andrew C. Laing","doi":"10.1016/j.wfumbo.2024.100066","DOIUrl":"10.1016/j.wfumbo.2024.100066","url":null,"abstract":"<div><h3>Objectives</h3><div>Comprehensive characterization of soft tissue composition and distribution over the lateral proximal femur is necessary to improve our understanding of fall-related hip fractures; however, a protocol that produces reliable data is needed. Accordingly, the aim of this study was to assess the intra-rater reliability of B-mode ultrasound measured muscle, adipose, and total soft tissue thicknesses over the lateral proximal femur in a simulated sideways fall configuration.</div></div><div><h3>Methods</h3><div>Twenty-five young adults (12 males, 13 females, age (SD) = 20.8 (1.9) years) underwent B-mode ultrasound imaging of 12 locations over their lateral proximal femur while in a side-lying position. Side-lying was chosen to allow imaging of the tissues impacted during a lateral fall event. Muscle, adipose, and total soft tissue thicknesses were measured at each location (further grouped into posterolateral, lateral, and anterolateral locations for statistical analysis) and two-way mixed model absolute agreement intraclass correlation coefficients (ICCs) and standard error of measurement were used to assess reliability of tissue type, location, and sex.</div></div><div><h3>Results</h3><div>ICCs were excellent (ICC >0.9) for each tissue type, measurement location, and sex. There were interactions between tissue type, measurement location, and sex on reliability. While measures of adipose thickness were excellent across all conditions, reliability of muscle and total soft tissue thickness measurements were dependent on measurement location and sex.</div></div><div><h3>Conclusions</h3><div>This ultrasound imaging protocol demonstrated good-to-excellent reliability of soft tissue-specific thickness measurements over the lateral proximal femur. This protocol has implications for subject-specific hip fracture risk screening tools and biomechanical models of impact dynamics that incorporate biofidelic soft tissue morphology.</div></div>","PeriodicalId":101281,"journal":{"name":"WFUMB Ultrasound Open","volume":"2 2","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357020","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}