Sara Cañamero-de León, Mercedes Soto-González, Iria Da Cuña-Carrera, Augusto Gil Pascoal
{"title":"Using Shear Wave Elastography for Morphofunctional Analysis of Abdominal Muscles: A Scoping Review.","authors":"Sara Cañamero-de León, Mercedes Soto-González, Iria Da Cuña-Carrera, Augusto Gil Pascoal","doi":"10.1016/j.ultrasmedbio.2025.04.016","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.04.016","url":null,"abstract":"<p><p>This scoping review evaluates current research on the use of Shear Wave Elastography (SWE) in analyzing abdominal muscles, specifically the transversus abdominis, oblique muscles, and rectus abdominis. SWE is an advanced ultrasound technique that assesses tissue mechanical properties, offering detailed insights into tissue stiffness. Following PRISMA-ScR guidelines, the review included peer-reviewed studies on SWE of abdominal muscles in adults, excluding case studies, reviews, and studies on postmortem subjects or on non-abdominal tissues. A comprehensive search was conducted in PubMed, Medline, SPORTDiscus, Scopus, Web of Science, and Cinahl in April 2024, followed by a rigorous selection process involving two independent reviewers and a third reviewer to resolve discrepancies. Data extraction focused on study design, population characteristics, SWE methodology, and outcomes. The review included 27 studies. Out of these 27 studies, 11 were selected. The stiffness of the transversus abdominis at rest showed great variability, with propagation speeds ranging from 1.45 m/s to 2.3 m/s, being lower in healthy individuals compared to those with pathologies. The resting SWE values for the obliques were more homogeneous: between 1.40 and 1.54 m/s for the internal oblique and from 1.79 to 1.89 m/s for the external oblique in healthy adults, which increased in active individuals. For the rectus abdominis, the resting SWE values ranged from 1.61 m/s in women to 2.07 m/s in active young individuals. Although SWE is a relatively new technique for tissue assessment and there is no standard reference for the values obtained, its use in the study of abdominal musculature is promising, offering a non-invasive view of muscle stiffness. This review has identified several limitations, such as the lack of standardization in methodology, variability in the populations studied, and technical considerations that affect the measurements accuracy.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Georges Chabouh, Basile Pradier, Louise Denis, Rached Baida, Vincent Hingot, Arthur Chavignon, Sylvain Bodard, Ludovic Lessage, Aurélie Helbert, Angélique Brzustowski, Dominique Valla, Valerie Duvivier, Edwige Balzac, Tania Baltauss, Philippe Delerive, Valerie Paradis, Catherine Postic, Sebastien Salles, Olivier Couture
{"title":"Multiparametric ultrasound evaluation of metabolic dysfunction-associated fatty liver disease in minipigs.","authors":"Georges Chabouh, Basile Pradier, Louise Denis, Rached Baida, Vincent Hingot, Arthur Chavignon, Sylvain Bodard, Ludovic Lessage, Aurélie Helbert, Angélique Brzustowski, Dominique Valla, Valerie Duvivier, Edwige Balzac, Tania Baltauss, Philippe Delerive, Valerie Paradis, Catherine Postic, Sebastien Salles, Olivier Couture","doi":"10.1016/j.ultrasmedbio.2025.06.011","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.06.011","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to quantitatively assess hepatic steatosis using multiparametric 2-D ultrasound techniques in a choline-deficient high-fat diet minipig model, comparing the results with histological analysis at two time points.</p><p><strong>Methods: </strong>Quantitative ultrasound (QUS) such as attenuation coefficient, backscatter ratio and speed of sound estimation, shear wave elastography and ultrasound localization microscopy, was performed on 17 minipigs. Histological analysis served as the ground truth.</p><p><strong>Results: </strong>The results demonstrate that both the attenuation coefficient and backscatter ratio effectively detected hepatic steatosis, showing significantly higher values in steatotic compared with non-steatotic livers, consistent with findings in human and animal studies. However, speed of sound estimation measurements did not show any significant differences. shear wave elastography measurements were correlated with fibrosis at higher grades. Ultrasound localization microscopy, with its technical challenges, did not reveal significant hemodynamic changes or allow discrimination between steatosis groups.</p><p><strong>Conclusion: </strong>Our study highlights the potential of multiparametric QUS for comprehensive liver assessment, although challenges remain, particularly in ultrasound localization microscopy techniques. Future research should focus on improving motion correction and developing automatic data-processing methods. The combination of QUS parameters could offer a more nuanced understanding of liver disease, paving the way for a non-invasive, multiparametric diagnostic approach akin to magnetic resonance imaging radiomics.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modified CEUS LI-RADS With Perfluorobutane in Patients at High-Risk for Hepatocellular Carcinoma: A Systematic Review and Network Meta-Analysis.","authors":"Jifan Chen, Jianing Zhu, Jiaxing Shen, Yuhan Fu, Fei Gao, Jing Wang, Peile Jin, Tao Lin, Yang Sun, Qiu Chen, Ying Zhang, Guowei Wang, Chao Zhang, Jianhua Zhou, Xiang Jing, Pintong Huang","doi":"10.1016/j.ultrasmedbio.2025.05.024","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.024","url":null,"abstract":"<p><p>Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) 2017 version is based on pure-blood pool contrast agent, potentially unsuitable for perfluorobutane contrast agent with the Kupffer phase. This article aimed to compare the diagnostic performance of unmodified CEUS LI-RADS and modified CEUS LI-RADS using perfluorobutane for hepatocellular carcinoma by integrating published and original data from three medical centers. Comparison between unmodified and modified CEUS LI-RADS with perfluorobutane involved ranking the diagnostic odds ratio (DOR) and superiority index (SI) using an ANOVA arm-based model. This meta-analysis included nine studies and our original data, encompassing 1505 patients with 1622 lesions. The summarized sensitivity of the modified CEUS LI-RADS was higher than that of the unmodified version (0.77 [0.72-0.81] vs. 0.70 [0.63-0.76]), while specificity was similar for both (0.86 [0.78-0.91] vs. 0.86 [0.77-0.92]). The general diagnostic performance of the modified CEUS LI-RADS was superior to the unmodified version, indicated by a higher DOR (16.98 [11.65-23.43] vs. 12.51 [8.11-18.44], p = 0.02) and SI (1.59 [1.00-3.00] vs. 0.80 [0.33-1.00], p = 0.02). Modified CEUS LI-RADS may be of better diagnostic performance, offering higher sensitivity without compromising specificity.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Huang, Qian Hu, XiangMin Zhang, XiaoYing Ni, JinHua Cai
{"title":"UTMD Enhances Targeting of Diclofenac and Doxil® to Boost Tumor Immunotherapy.","authors":"Jie Huang, Qian Hu, XiangMin Zhang, XiaoYing Ni, JinHua Cai","doi":"10.1016/j.ultrasmedbio.2025.06.010","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.06.010","url":null,"abstract":"<p><strong>Objective: </strong>The tumor immune microenvironment (TIME) limits antitumor therapy efficacy. Improving TIME enhances immune responses and improves drug effectiveness. The study designed nanobubble-encapsulated diclofenac (DNBs) and used ultrasound-targeted microbubble destruction (UTMD), referred to as DNBs-UTMD, to improve TIME and enhancing the efficacy of Doxil®.</p><p><strong>Methods: </strong>DNBs were characterized using scanning electron microscope and particle size analysis. Encapsulation efficiency and loading capacity were measured via spectro-photometry. Cell activity was evaluated by CCK-8 assays. Lactate concentrations by lactate detection kit, extracellular pH were measured by pH meter, and flow cytometry assessed Doxil® uptake, M2 tumor-associated macrophages (M2), myeloid-derived suppressor cells (MDSCs), CD8+ cells and CD4+ T cells.</p><p><strong>Results: </strong>DNBs had an average size of 331.6 nm, a zeta potential of 15.9 mV, and smooth spherical morphology. Encapsulation efficiency of 12.6% and loading capacity of 24.75%. DNBs-UTMD promoted Doxil® uptake, inhibited lactate secretion, and improved the acidic microenvironment. DNBs-UTMD reduces the proportion of immune-suppressive cells, with M2 of 22% and MDSCs of 5.3%. In addition, combination therapy group of Doxil ® + DNBs-UTMD reduced cell viability to 31%, with CD8+T cells of 51.1% and CD4+T cells of 24.1%, developing a synergistic anti-tumor effect.</p><p><strong>Conclusion: </strong>DNBs-UTMD regulates TIME and alleviates immune suppression (M2 and MDSCs ↓) by improving the acidic tumor microenvironment. DNBs-UTMD also can promote cellular uptake of Doxil® and enhance T cell response (CD8+T cells and CD4+T cells ↑) to exert synergistic therapeutic effects.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joseph A Sebastian, Emmanuel Chérin, Eric M Strohm, Zach Gouveia, Aaron Boyes, J Paul Santerre, Christine E M Démoré, Michael C Kolios, Craig A Simmons
{"title":"High-Frequency Quantitative Ultrasound Elastography for the Mechanical Assessment of Thin Biomaterials In Vitro.","authors":"Joseph A Sebastian, Emmanuel Chérin, Eric M Strohm, Zach Gouveia, Aaron Boyes, J Paul Santerre, Christine E M Démoré, Michael C Kolios, Craig A Simmons","doi":"10.1016/j.ultrasmedbio.2025.06.007","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.06.007","url":null,"abstract":"<p><strong>Objective: </strong>High-frequency ultrasound elastography (USE) can measure the mechanical properties of biomaterials and engineered tissues in vitro. Previously developed USE systems have been limited by contact acoustic radiation force (ARF) excitations and insufficient spatiotemporal resolution for sub-millimetre sub-surface mechanical property measurements.</p><p><strong>Methods: </strong>We present a novel high-frequency USE system with a highly focused (f-number 1) 15 MHz ARF excitation transducer and a broadband (f-number 3) 40 MHz ARF tracking transducer.</p><p><strong>Results: </strong>When comparing shear moduli measured via USE with shear rheometry, shear moduli of 1% and 5% agar-silica phantoms estimated by USE, were 8.8 ± 2.2 kPa and 117.0 ± 12.3 kPa (8.0 ± 0.4 kPa by rheometry, p = 0.573 for 1%; 114.4 ± 7.2 kPa, p = 0.777 for 5%) and oil-agar silica phantoms were 105.0 ± 3.4 kPa (0%) and 77.0 ± 22.1 kPa (10%) by USE (101.0 ± 4.8 kPa by rheometry; p = 0.311 for 0%; 75.8 ± 5.3 kPa; p = 0.938 for 10%). The speed of sound, acoustic impedance, and acoustic attenuation of these samples were also determined. We also used in silico analysis to mimic our experimental system and analyze the spectral content of the resulting shear waves in elastic and viscoelastic tissues with parametric changes to the ARF excitation duration, shear modulus, and viscosity. Notably, we observed a nonlinear dependency of shear wave frequency on ARF excitation duration and material properties, where shear wave frequency was most sensitive to tissue elastic modulus at longer ARF durations but more sensitive to tissue viscosity at shorter ARF durations.</p><p><strong>Conclusion: </strong>Our system enables noninvasive, nondestructive estimation of the mechanical properties of thin biomaterials via focused axial localization of the ARF, opening new avenues for future USE applications in engineered tissue systems.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient Ultrasound Breast Cancer Detection with DMFormer: A Dynamic Multiscale Fusion Transformer.","authors":"Lishuang Guo, Haonan Zhang, Chenbin Ma","doi":"10.1016/j.ultrasmedbio.2025.05.017","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.017","url":null,"abstract":"<p><strong>Objective: </strong>To develop an advanced deep learning model for accurate differentiation between benign and malignant masses in ultrasound breast cancer screening, addressing the challenges of noise, blur, and complex tissue structures in ultrasound imaging.</p><p><strong>Methods: </strong>We propose Dynamic Multiscale Fusion Transformer (DMFormer), a novel Transformer-based architecture featuring a dynamic multiscale feature fusion mechanism. The model integrates window attention for local feature interaction with grid attention for global context mixing, enabling comprehensive capture of both fine-grained tissue details and broader anatomical contexts.</p><p><strong>Results: </strong>DMFormer was evaluated on two independent datasets and compared against state-of-the-art approaches, including convolutional neural networks, Transformer-based architectures, and hybrid models. The model achieved areas under the curve of 90.48% and 86.57% on the respective datasets, consistently outperforming all comparison models.</p><p><strong>Conclusion: </strong>DMFormer demonstrates superior performance in ultrasound breast cancer detection through its innovative dual-attention approach. The model's ability to effectively balance local and global feature processing while maintaining computational efficiency represents a significant advancement in medical image analysis. These results validate DMFormer's potential for enhancing the accuracy and reliability of breast cancer screening in clinical settings.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Ultrasound Signal-Guided Two-Stage Weakly Supervised Network for Intraoperative Glioma Localization and Infiltration Boundary Recognition Using a Nude Mouse Model.","authors":"Xuan Xie, Zhipeng Yang, Chengqian Zhao, Pengfei Song, Guoqing Wu, Zhifeng Shi, Jinhua Yu","doi":"10.1016/j.ultrasmedbio.2025.05.026","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.026","url":null,"abstract":"<p><strong>Objective: </strong>Surgical resection is the standard treatment for glioma. While gross tumor regions can be identified, microscopic infiltration is often elusive without histopathology. Developing real-time techniques to approximate gold-standard boundaries intraoperatively is crucial for surgical accuracy and patient outcomes.</p><p><strong>Methods: </strong>We propose a ultrasound signal-guided two-stage spatiotemporal feature-aware weak supervision network for glioma infiltration boundaries, utilizing nude mouse pathological annotations as reference standards. In Stage 1, a spatio-temporal feature extraction module generates pseudo-boundary masks through multi-constraint learning, effectively translating the ultrasound radio frequency signal into anatomically plausible boundary probability distributions. Building upon these masks as dynamic anatomical priors, Stage 2 establishes cross-task reinforcement between tumor classification and boundary refinement in an end-to-end architecture. This cross-task synergy enhances localization accuracy with limited labels, enabling annotation-efficient and real-time intraoperative localization.</p><p><strong>Results: </strong>Trained on 3400 intraoperative ultrasound frames (1400 tumor/2000 normal) with frame-level signal labels, the model was evaluated on a test set comprising 680 nude mouse frames (280 tumor/400 normal) using pathological annotations. For tumor/normal frame differentiation, the model achieved an accuracy of 0.985, AUC of 0.990, sensitivity of 1.000, and specificity of 0.975. Boundary recognition yielded a Dice coefficient of 0.814, intersection over union of 0.690, Hausdorff distance of 25.088, and average surface distance of 8.359 against histopathology.</p><p><strong>Conclusion: </strong>Our method enabled accurate tumor localization with infiltration boundaries and tumor sizes closely matching the pathological gold standard, outperforming preoperative MRI. This approach offers a reliable solution for intraoperative ultrasound-assisted tumor localization, laying the foundation for clinical validation.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudio Giangrossi, Alessandro Ramalli, Francesco Guidi, Emile Noothout, Luxi Wei, Hendrik J Vos, Piero Tortoli
{"title":"Blood-flow Volume Estimation by a 2-D Sparse Array.","authors":"Claudio Giangrossi, Alessandro Ramalli, Francesco Guidi, Emile Noothout, Luxi Wei, Hendrik J Vos, Piero Tortoli","doi":"10.1016/j.ultrasmedbio.2025.06.005","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.06.005","url":null,"abstract":"<p><strong>Objective: </strong>The assessment of blood-flow volume (BFV) is clinically relevant for the diagnosis and monitoring of cardiovascular dysfunctions and the prevention of subsequent secondary diseases. Non-invasive BFV measurement based on ultrasound methods are appealing for lower cost, real-time operation, and equipment portability. Recently, complex ultrasound research scanners with 1024 channels controlling the elements of a 2-D matrix array probe, have been demonstrated suitable for off-line accurate BFV estimates. In this work, a streamlined approach, using a 256-channel research scanner paired with a 256-element 2-D sparse spiral array, is proposed and validated.</p><p><strong>Methods: </strong>This setup allows for simultaneous scanning of the vessel's longitudinal and transverse sections through an interleaved transmission sequence. In real-time, the longitudinal scan is used to determine the flow direction, while the transverse scan captures both the dynamic cross-sectional area and the local velocities by high frame rate color flow mapping.</p><p><strong>Results: </strong>Flow phantom experiments under steady and pulsatile flow conditions were conducted to assess the performance by comparing the measurements with the outputs of a reference flow sensor. The proposed method provided accurate and precise BFV values for both flow conditions, with mean percentage error and standard deviation always lower than 9.4% and 2.8%, respectively. Furthermore, preliminary in vivo experiments have produced results consistent with those reported in the literature.</p><p><strong>Conclusion: </strong>The proposed method based on the use of a sparse array has permitted accurate and precise phantom BFV measurements and has been shown suitable for real-time arterial BFV measurements.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial Advisory Board","authors":"","doi":"10.1016/S0301-5629(25)00201-7","DOIUrl":"10.1016/S0301-5629(25)00201-7","url":null,"abstract":"","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":"51 8","pages":"Page i"},"PeriodicalIF":2.4,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberto Cannella, Francesco Matteini, Domenico Salvatore Gagliano, Mariasole Mazzola, Francesco Agnello, Maurizio Soresi, Salvatore Petta, Tommaso Vincenzo Bartolotta
{"title":"Performance of Ultrasound Liver Fat Quantification for the Assessment of Hepatic Steatosis Using MRI Fat Fraction as a Reference Standard.","authors":"Roberto Cannella, Francesco Matteini, Domenico Salvatore Gagliano, Mariasole Mazzola, Francesco Agnello, Maurizio Soresi, Salvatore Petta, Tommaso Vincenzo Bartolotta","doi":"10.1016/j.ultrasmedbio.2025.05.020","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.020","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the performance and reproducibility of ultrasound-based liver fat quantification (LFQ) for the assessment of hepatic steatosis.</p><p><strong>Methods: </strong>This prospective study included adult patients who underwent quantification of hepatic steatosis with ultrasound and magnetic resonance imaging (MRI) on the same day. Ultrasounds were acquired with LFQ to measure attenuation of the liver parenchyma, hepatorenal index and 2-D shear-wave elastography, based on the median of 10 measurements taken by two operators. The reference standard was based on fat fraction quantification obtained using the mDixonQuant sequence on a 3T-MRI. Areas under the receiver operator curve and optimal cutoffs with the Youden index were calculated. Inter- and intra-observer reliability was assessed using the intra-class correlation coefficient.</p><p><strong>Results: </strong>A total of 152 patients (77 males, median age 64.0 years) were enrolled. On MRI, 39 (25.7%), 11 (7.2%) and 10 (6.6%) patients had grade 1, 2 and 3 steatosis, respectively. The median LFQ was 0.58 dB/cm/MHz, with a 100% success rate. Intra- and inter-operator reliability was good, with an intra-class correlation coefficient of 0.88 and 0.85, respectively. The areas under the receiver operator curve of LFQ were 0.919 (cutoff >0.60, sensitivity 80.3%, specificity 92.4%) for grade ≥1 steatosis, 0.970 (cutoff >0.64, sensitivity 95.2%, specificity 85.5%) for grade ≥2 steatosis and 0.974 (cutoff >0.69, sensitivity 100%, specificity 93.7%) for grade 3 steatosis. For all steatosis grades, LFQ performance was significantly higher than the hepatorenal index.</p><p><strong>Conclusion: </strong>Ultrasound-based LFQ provides excellent performance for the diagnosis of hepatic steatosis with high reproducibility.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}